Academic literature on the topic 'Dengue fever incidence rate'
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Journal articles on the topic "Dengue fever incidence rate"
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Korobka, Yuriy. "Dengue fever." Spravočnik vrača obŝej praktiki (Journal of Family Medicine), no. 5 (May 1, 2020): 26–42. http://dx.doi.org/10.33920/med-10-2005-04.
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Dengue fever (other names: breakbone fever, vomiting and dandy fever) is a mosquito-borne viral infection, which in its course resembles the flu, but in some cases can be fatal. It should be noted that in recent years there has been an increase in the incidence of this infection. Most often, Dengue fever develops in the conditions of the tropics and subtropics, and, as a rule, affects residents of towns and suburban areas. In some Asian and Latin American countries, this disease even comes out on top for reasons of mortality. There is no specific treatment, but a timely diagnosis and timely treatment will contribute to a significant reduction in mortality rate.
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Irma, Irma, Yusuf Sabilu, Harleli Harleli, and Swaidatul Masluhiya AF. "Hubungan Iklim dengan Kejadian Demam Berdarah Dengue (DBD)." Jurnal Kesehatan 12, no. 2 (August 24, 2021): 266. http://dx.doi.org/10.26630/jk.v12i2.2234.
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Dengue Hemorrhagic Fever (DHF) is a serious health problem, especially in tropical countries including east Indonesia. DHF cases in Bau-Bau City in the last three years have shown a significant increasing trend. In 2017 the IR DHF in Bau-Bau was 62,6 per 100.000 population, in 2018 the IR rate was 67,4 per 100,000 population, and the CFR rate was 1%, and in 2019 the IR DHF was 94,9 per 100,000 population with the CFR increasing to 1,3%. The purpose of this study was to determine the relationship between rainfall and humidity with the incidence of DHF. This study is an ecological study using secondary data on DHF and climate which were collected retrospectively. Data on dengue fever for 566 cases were taken from the Health Office of Bau-Bau City and data on climate were taken from the Meteorology, Climatology and Geophysics Agency (BMKG) Meteorological Station Class II Betoambari Bau-Bau City. The analysis was carried out univariate and bivariate with the Spearman correlation test at 0,05 to determine the relationship between rainfall and humidity with the incidence of DHF. The results of the Spearman correlation test of rainfall with the incidence of DHF obtained a value of=0,006 and r=0,35 and air temperature with the incidence of DHF with a value of=0,000 and a value of r=0,576. Climatic factors, namely rainfall and air temperature, are associated with the incidence of dengue fever in Bau-Bau City, Southeast Sulawesi.
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Wanti, Wanti, Ririh Yudhastuti, Hari Basuki Notobroto, Sri Subekti, Agustina Agustina, and Christine Ekawati. "Container characteristics and dengue hemorrhagic fever incidence." International Journal of Public Health Science (IJPHS) 8, no. 3 (September 1, 2019): 314. http://dx.doi.org/10.11591/ijphs.v8i3.18066.
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The condition of Kupang City has low rainfall, low rainy days and includes dry areas, but it turns out that Kupang City had always the highest incidence rate in Nusa Tenggara Timur Province and exceed the national average. This study will analyze the relationship of container characteristic to the incidence of DHF in Kupang City. This study was an observational analytic study with a case control design. The study conducted in 25 villages with total sample 500 people of DHF patients and non DHF patients in Kupang City. The research variables are number of container, water height, water volume, water pH, container type, container location, container material, container lid, and container color which were collected by doing direct observation and measuring the object of study. The collected data was processed and analyzed statistically using Independent T test and Chi Square test. The container conditions related to the incidence of DHF were the amount of container, water pH, and type of container. Whereas the container conditions that were not related to the incidence of DHF are water level, water volume, container location, container material, container cover and container color.
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Shekhar, K. Chandra, and Ong Leong Huat. "Epidemiology of Dengue/Dengue Hemorrhagic Fever in Malaysia-A Retrospective Epidemiological Study. 1973-1987. Part II: Dengue Fever (DF)." Asia Pacific Journal of Public Health 6, no. 3 (July 1992): 126–33. http://dx.doi.org/10.1177/101053959200600302.
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Dengue fever (DF) bas been endemic in Malaysia since 1902 and reached epidemic proportions in 1973. The incidence rate of the disease in 1973 was 5.4 cases per 100, 000 and reached 10.4 cases per 100, 000 in 1987. The Chinese are the main ethnic community affected showing an overall morbidity rate of 9.0 cases per 100, 000 followed by Malays 2.9 cases per 100, 000 and Indians 2.4 cases per 100, 000. The ethnic race ratio between Chinese, Malays and Indians which was 3.7:1:1.3 in 1975 reached 3.7:1:0.9 in 1987. The attack rates were observed to be higher in the males. The mean male:female ratio among Chinese was 1.1:1, while for Malays and Indians it was 1.5:1. The age-specific morbidity rate was highest in the 10-to 19-year age group followed by the 20-to 29-year age group. Epidemics of dengue fever were found to occur seasonally with the appearance of two peaks, viz. one in June and the other in August. Dengue fever, a rural disease before, has established itself as an urban disease.
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Paramita, Ratna Maya, and J. Mukono. "HUBUNGAN KELEMBAPAN UDARA DAN CURAH HUJAN DENGAN KEJADIAN DEMAM BERDARAH DENGUE DI PUSKESMAS GUNUNG ANYAR 2010-2016." Indonesian Journal of Public Health 12, no. 2 (February 8, 2018): 202. http://dx.doi.org/10.20473/ijph.v12i2.2017.202-212.
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Dengue hemorrhagic fever is caused by dengue virus. The number of cases reported annually to World Health Organization ranged from 0,4 to1,3 million in the decade 1996–2005. The outbreak is annually happen on some provinces in Indonesia. The outbreak at 1998 and 2004 were the most cases in number. Surabaya city was an endemic area. It had suffered 640 people with 13 people were dead in 2015, which case fatality rate was 2,03%. This study aims to analyze a correlation of humidity and r ainfall with the incidence of d engue hemorrhagic fever at Gunung Anyar Primary Health Care, 2010–2016. The method of this research was time trend ecological study with the unit of analysis was per month during seven years. The results were showed that humidity correlated with dengue hemorrhagic fever (p = 0.002 and r = + 0.351). So did the r ainfall (p = 0.042 and r = + 0.230). This research was concluded that humidity and rainfall correlated significantly with the incidence of dengue hemorrhagic fever. Sign of positive meant when humidity and rainfall increased, the incidence of dengue hemorrhagic fever increased too. Climate condition at Gunung Anyar district supports to make the incidence of dengue hemorrhagic fever happen. Because of that, people should improve their attention when peak seasons are coming, like doing mosquito breeding place elimination, keeping fish of mosquito larva predators, and using repellent among daily activities.
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Dayani, Dewi Putri. "THE OVERVIEW OF DENGUE HEMORRHAGIC FEVER IN EAST JAVA DURING 2015-2017." Jurnal Berkala Epidemiologi 8, no. 1 (January 28, 2020): 35. http://dx.doi.org/10.20473/jbe.v8i12020.35-41.
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Background: Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus which spreads more widely and the morbidity rate increases every year in East Java Province. DHF transmitting vector is widespread in residential areas and in public places, population density, population mobility, increasing urbanization. Purpose: This study aims to describe the number of cases, Incidence Rate (IR), Case Fatality Rate (CFR), and the peak incidence of Dengue Hemorrhagic Fever in East Java Province in 2015-2017. Method: This study is a descriptive approach study with a population that is all East Java residents who are at risk of suffering from dengue. This study uses a total population technique that involves all DHF cases recorded in the East Java Provincial Health Profile for 2015-2017. The data used are secondary data obtained from the Health Profile of East Java Province in 2015-2017, namely the number of DHF cases, gender, morbidity and mortality rates due to DHF. Data were analyzed using the Incidence Rate (IR) and Case Fatality Rate (CFR) formulas. Results: The number of dengue cases in East Java in 2015 to 2017 fluctuated. DHF morbidity rates have increased in 2016 while 2017 has decreased. The mortality rate in East Java in 2015-2017 has decreased. DHF events often occur in male sex. Conclusion: Dengue Hemorrhagic Fever is a vector-borne disease with rapid spread. The occurrence of dengue hemorrhagic fever every year there is an increase in cases and deaths of almost all regencies / cities in East Java.
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Ramachari, Nagarani, and Vaithiyanathan Purushothaman. "A study on incidence rate of dengue fever in rural area of Thiruvannamalai district." International Journal Of Community Medicine And Public Health 6, no. 5 (April 27, 2019): 1975. http://dx.doi.org/10.18203/2394-6040.ijcmph20191803.
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Background: In Tamil Nadu, the dengue outbreak is often associated with monsoon periods clubbed with draught. Basic population statistics such as incident rate was needed very much. Hence this study was planned a) to know the incidence rate of dengue fever in Kattampoondi primary health centre area in Thiruvannamalai district and b) to find out age-sex pattern of the cases.Methods: A longitudinal descriptive study was conducted among the residents of villages served by Kattampoondi primary health center during July to December, 2017. Four villages were selected by random sampling technique. The population came about 9385. Only confirmed dengue cases as per WHO case definition, during July to December 2017 were found and confirmed cases included thereafter.Results: The total dengue cases in the study area with a population of 9385 were found to be 75. Among 75 cases of dengue, 43 (57%) were males and 32 (43%) were females. Out of 75 cases, 36 (48%) cases occurred in the age group of 15 and above, 34 (45%) cases occurred between 5 to 15 years of age and 5 (7%) cases occurred among under five.Conclusions: When compared to state incidence rate, the incidence rate of this PHC area was significantly high. This might be due to good surveillance work. Though all age groups and both sexes are susceptible to dengue fever, personal protection might be the reason for low incidence rate among children with below 5 year of age.
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CHAREONSOOK, O., H. M. FOY, A. TEERARATKUL, and N. SILARUG. "Changing epidemiology of dengue hemorrhagic fever in Thailand." Epidemiology and Infection 122, no. 1 (February 1999): 161–66. http://dx.doi.org/10.1017/s0950268898001617.
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Dengue haemorrhagic fever (DHF) and dengue shock syndrome (DSS) are reportable diseases, the third most common causes for hospitalization of children in Thailand. Data collected from the Ministry of Public Health were analysed for trends. Rates of DHF increased in Thailand until 1987 when the largest epidemic ever, 325/100000 population, was recorded. Whereas the disease used to be confined to large cities, the rate is now higher in rural (102·2 per 100000) than urban areas (95·4 per 100000 in 1997). The age of highest incidence has increased, and the age group most severely affected is now those 5–9 years old (679/100000 in 1997). The case fatality rate has decreased with improved treatment and is now only 0·28%.
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Cordeiro, Marli Tenório, Hermann Gonçalves Schatzmayr, Rita Maria Ribeiro Nogueira, Valdete Felix de Oliveira, Wellinton Tavares de Melo, and Eduardo Freese de Carvalho. "Dengue and dengue hemorrhagic fever in the State of Pernambuco, 1995-2006." Revista da Sociedade Brasileira de Medicina Tropical 40, no. 6 (December 2007): 605–11. http://dx.doi.org/10.1590/s0037-86822007000600001.
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In Pernambuco, the first dengue cases occurred in 1987. After a seven-year interval without autochthonous cases, a new epidemic occurred in 1995. Important aspects of the dengue epidemics during the period 1995-2006 have been analyzed here, using epidemiological, clinical and laboratory data. A total of 378,374 cases were notified, with 612 confirmed cases of dengue hemorrhagic fever and 33 deaths. The mortality rate was 5.4%. The incidence rate increased from 134 to 1,438/100,000 inhabitants, corresponding to the epidemics due to serotypes 2 and 3, in 1995 and 2002, respectively. Dengue mainly affected adults (20-49 years); 40.7% were male and 59.3% were female. From 2003 onwards, the number of cases among individuals younger than 15 years old increased. Out of 225 dengue hemorrhagic fever cases, 42.7% primary and 57.3% secondary infections were identified (p = 0.0279). Neurological manifestations were also observed. From 2002 onwards, serotypes 1, 2 and 3 were circulating; serotype 3 was predominant.
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A., Kasim Y., Anky Tri Rini K. E., and Sumarmo S. P. S. "Hyperventilation in Children with Dengue Hemorrhagic Fever (DHF)." Paediatrica Indonesiana 31, no. 9-10 (January 31, 2019): 245–56. http://dx.doi.org/10.14238/pi31.9-10.1991.245-56.
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Many studies of Dengue Hemorrhagic Fever (DHF) have been done but only a few revealed the respiratory status. Respiratory problems arise. because of plasma leakage through the 'damaged capillaries, causing lung edema and in turn result in hypoxemia. This later on will be compensated by a hyperventilation state.
During a 6-month-period (May to September 1988), two aspects were studied in 85 patients hospitalized with DHF. First, the ventilatory pattern and second, the result of giving oxygen support in improving the respiratory disturbance, in this case alveolar hyperventilation.
The incidence of alveolar hyperventilation in DHF grade II (DHF II) and Dengue Shock Syndrome (DSS) differed significantly. Hypoxemia occurred in DHF II and DSS with no significant differences. The difference of the incidence of metabolic acidosis in DHF II and DSS were significant.
In DHF II patients having had hyperventilation state, oxygen therapy decreased respiration rate significantly and increased the PaC02 though not significantly.
Dissertations / Theses on the topic "Dengue fever incidence rate"
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Souto, Maria Cristiana da Silva. "Coeficientes de incid?ncia do dengue e sua rela??o com os diferenciais intra-urbanos segundo condi??es de vida no munic?pio do Natal, Rio Grande do Norte." Universidade Federal do Rio Grande do Norte, 2006. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18260.
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Previous issue date: 2006-08-29This study sprang from the hypothesis that spatial variations in the morbidity rate for dengue fever within the municipality of Natal are related to intra-city socioeconomic and environmental variations. The objective of the project was to classify the different suburbs of Natal according to their living conditions and establish if there was any correlation between this classification and the incidence rate for dengue fever, with the aim of enabling public health planners to better control this disease. Data on population density, access to safe drinking water, rubbish collection, sewage disposal facilities, income level, education and the incidence of dengue fever during the years 2001 and 2003 was drawn from the Brazilian Demographic Census 2000 and from the Reportable Disease Notification System -SINAN. The study is presented here in the form of two papers, corresponding to the types of analysis performed: a classification of the urban districts into quartiles according to the living conditions which exist there, in the first article; and the incidence of dengue fever in each of these quartiles, in the second. By applying factorial analysis to the chosen socioeconomic and environmental indicators for the year 2000, a compound index of living condition (ICV) was obtained. On the basis of this index, it was possible to classify the urban districts into quartiles. On undertaking this grouping (paper 1), a heterogeneous distribution of living conditions was found across the city. As to the incidence rate for dengue fever (paper 2), it was discovered that the quartile identified as having the best living conditions presented incidence rates of 15.62 and 15.24 per 1000 inhabitants respectively in the years 2001 and 2003; whereas the quartile representing worst living conditions showed incidence rates of 25.10 and 10.32 for the comparable periods. The results suggest that dengue fever occurs in all social classes, and that its incidence is not related in any evident way to the chosen formula for living conditions
Este estudo partiu da hip?tese de que as varia??es espaciais na magnitude da morbidade por dengue em Natal s?o influenciadas pelas desigualdades intra-urbanas de fatores socioecon?micos e ambientais. Visando identificar as diferen?as intr?nsecas de cada um deles, no sentido de fornecer subs?dios para as decis?es dos gestores p?blicos no que se refere ao controle da dengue, esta disserta??o teve como objetivo caracterizar os bairros da cidade do Natal de acordo com as condi??es de vida. Foram utilizados dados populacionais sobre densidade demogr?fica, abastecimento de ?gua, coleta de lixo, esgotamento sanit?rio, renda, escolaridade e incid?ncia da dengue no per?odo de 2001 e 2003. Esses dados foram provenientes do Censo Demogr?fico 2000 e do Sistema de Informa??es de Agravos Notific?veis -SINAN. O estudo foi apresentado sob a forma de dois artigos, de acordo com o recorte espacial utilizado: quatro estratos de condi??o de vida, no primeiro; e incid?ncia da dengue em cada estrato de condi??o de vida, no segundo. A partir dos indicadores referentes ?s condi??es socioecon?micas e ambientais obteve-se, por meio de an?lise fatorial, um indicador sint?tico da condi??o de vida (ICV). Com base no ICV, os bairros foram agrupados, para a constitui??o de quatro estratos de condi??o de vida. Na categoriza??o dos bairros segundo condi??es de vida (artigo 1) identificou-se uma distribui??o heterog?nea entre os bairros. Nos estratos (artigo 2), o de melhor condi??o de vida apresentou coeficiente de incid?ncia igual a 15,62 e 15,24 nos per?odos de 2001 e 2003, para cada 1000 habitantes, respectivamente; o estrato de pior condi??o de vida mostrou os coeficientes de incid?ncia de 25,10 e 10,32 para os per?odos de 2001 e 2003, respectivamente. Os resultados sugerem que este agravo ocorre em todas as classes sociais, a sua incid?ncia n?o est? relacionada de alguma forma evidente com o ICV
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Che, Him Norziha. "Potential for using climate forecasts in spatio-temporal prediction of Dengue fever incidence in Malaysia." Thesis, University of Exeter, 2015. http://hdl.handle.net/10871/23205.
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Dengue fever is a viral infection transmitted by the bite of female \textit{Aedes aegypti} mosquitoes. It is estimated that nearly 40\% of the world's population is now at risk from Dengue in over 100 endemic countries including Malaysia. Several studies in various countries in recent years have identified statistically significant links between Dengue incidence and climatic factors. There has been relatively little work on this issue in Malaysia, particularly on a national scale. This study attempts to fill that gap. The primary research question is `to what extent can climate variables be used to assist predictions of dengue fever incidence in Malaysia?'. The study proposes a potential framework of modelling spatio-temporal variation in dengue risk on a national scale in Malaysia using both climate and non-climate information. Early chapters set the scene by discussing Malaysia and Climate in Malaysia and reviewing previous work on dengue fever and dengue fever in Malaysia. Subsequent chapters focus on the analysis and modelling of annual dengue incidence rate (DIR) for the twelve states of Peninsular Malaysia for the period 1991 to 2009 and monthly DIR for the same states in the period 2001 to 2009. Exploratory analyses are presented which suggest possible relationships between annual and monthly DIR and climate and other factors. The variables that were considered included annual trend, in year seasonal effects, population, population density and lagged dengue incidence rate as well as climate factors such as average rainfall and temperature, number of rainy days, ENSO and lagged values of these climate variables. Findings include evidence of an increasing annual trend in DIR in all states of Malaysia and a strong in-year seasonal cycle in DIR with possible differences in this cycle in different geographical regions of Malaysia. High population density is found to be positively related to monthly DIR as is the DIR in the immediately preceding months. Relationships between monthly DIR and climate variables are generally quite weak, nevertheless some relationships may be able to be usefully incorporated into predictive models. These include average temperature and rainfall, number of rainy days and ENSO. However lagged values of these variables need to be considered for up to 6 months in the case of ENSO and from 1-3 months in the case of other variables. These exploratory findings are then more formally investigated using a framework where dengue counts are modelled using a negative binomial generalised linear model (GLM) with a population offset. This is subsequently extended to a negative binomial generalised additive model (GAM) which is able to deal more flexibly with non-linear relationships between the response and certain of the explanatory variables. The model successfully accounts for the large amount of overdispersion found in the observed dengue counts. Results indicated that there are statistically significant relationships with both climate and non-climate covariates using this modelling framework. More specifically, smooth functions of year and month differentiated by geographical areas of the country are significant in the model to allow for seasonality and annual trend. Other significant covariates included were mean rainfall at lag zero month and lag 3 months, mean temperature at lag zero month and lag 1 month, number of rainy days at lag zero month and lag 3 months, sea surface temperature at lag 6 months, interaction between mean temperature at lag 1 month and sea surface temperature at lag 6 months, dengue incidence rate at lag 3 months and population density. Three final competing models were selected as potential candidates upon which an early warning system for dengue in Malaysia might be able to be developed. The model fits for the whole data set were compared using simulation experiments to allow for both parameter and negative binomial model uncertainty and a single model preferred from the three models was identified. The `out of sample' predictive performance of this model was then compared and contrasted for different lead times by fitting the model to the first 7 years of the 9 years monthly data set covering 2001-2009 and then analysing predictions for the subsequent 2 years for lead time of 3, 6 12 and 24 months. Again simulation experiments were conducted to allow for both parameter and model uncertainty. Results were mixed. There does seem to be predictive potential for lead times of up to six months from the model in areas outside of the highly urbanised South Western states of Kuala Lumpur and Selangor and such a model may therefore possibly be useful as a basis for developing early warning systems for those areas. However, none of the models developed work well for Kuala Lumpur and Selangor where there are clearly more complex localised influences involved which need further study. This study is one of the first to look at potential climatic influences on dengue incidence on a nationwide scale in Malaysia. It is also one of the few studies worldwide to explore the use of generalised additive models in the spatio-temporal modelling of dengue incidence. Although, the results of the study show a mixed picture, hopefully the framework developed will be able to be used as a starting point to investigate further if climate information can valuably be incorporated in an early warning system for dengue in Malaysia.
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Espino, Carlos. "Active Surveillance and Incidence Rate of Dengue Infection in a Cohort of High Risk Population in Maracay, Venezuela." Scholar Commons, 2009. https://scholarcommons.usf.edu/etd/1626.
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In the absence of an effective vaccine, vector control and surveillance of dengue fever (DF) and dengue hemorrhagic fever (DHF) are the most important strategies currently used to reduce the impact of these diseases in affected population. The objectives of this study were to estimate the incidence of symptomatic and asymptomatic dengue cases, the prevalence of antidengue antibodies, and to evaluate the laboratory and clinical aspects related to an active surveillance of dengue cases. In this study, active surveillance was incorporated as a part of the study design. At total of 3,255 people from four high risk neighborhoods were followed in a two years prospective study whereby the participants' houses were visited three times a week. During these visits, dengue cases were characterized by identifying patients with fever as well as other symptoms that were compatible with dengue disease. In addition, a biannual blood sample was taken for each study participants, to establish the prevalence and six month incidence of dengue infection.
We found a crude incidence density (ID) of 3.24 by 100,000 person/days (p/d) which changed from 5.69 by 100,000 p/d for the first year of the study to 1.45 by 100.000 p/d in the second year. In both years, the months from July through September had the highest ID of 8.81 by 100,000 p/d. Children displayed higher ID when compared to adults, RR: 3.92 (2.38 - 6.48).
The Plaque Reduction Neutralization Test was used to assay for the presence of antidengue antibody in 2,125 study participants (65.3% of total). The prevalence of anti dengue antibodies was found to be 86.6% (1,840 positives). The prevalence of anti DENV-1 was 74%, while 65.2 % of the participants had anti- DENV-1 and anti- DENV-2 simultaneously. The cumulative incidence of anti IgG dengue antibody in the negative participants (283 at the start of the study) was 30% in the first 6 months period, 29.6% in the second 6 months, and 23.8 in the third one.
The difference between the numbers of participants detected in the active surveillance, (270 confirmed and non confirmed dengue cases) with the numbers of people who showed sero-conversion to anti-IgG dengue antibody within a relatively short period of time suggested that there was a high number of asymptomatic dengue infections present in the population. Transmissibility of the virus, the surveillance of dengue, and vaccine implementation in the near future would all be affected by the large number of asymptomatic people in hyperendemic countries.
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Silva, Junior Djalma Antonio da. "Perfil epidemiológico e demográfico dos casos de dengue em Goiânia - Goiás, numa série histórica de 2001 a 2009." Pontifícia Universidade Católica de Goiás, 2012. http://localhost:8080/tede/handle/tede/2915.
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Previous issue date: 2012-05-04Dengue is a major re-emerging diseases in the world, provided mainly by environmental and economic changes in the social space organized. With increasing national incidence of severe forms and deaths, it is necessary to better understand the real magnitude of the disease at the local level, aiming to characterize the demographic distribution of dengue cases in the city of Goiânia, from 2001 to 2009. This is a descriptive and transversal epidemiological study whose data were provided by the Department of Epidemiology Municipal Health Secretariat of Goiânia, and extracted the information about the variables of the form of the Information System for Notifiable Diseases. In the analyzed period were 124,629 dengue cases reported, affecting more females, caucasians, living in urban areas with the highest incidence in age from 15 to 24 years (p<0.001). During the study period, was identified the three serotypes DENV 1, DENV 3 and DENV 2, the latter being identified in all the years of the series, alternating with the other. There was no preference for a particular serotype of gender, race and age of infected individuals. Of 124,629 cases of dengue, 4.4% required hospitalization with greater involvement of the age group 5- 14 years (p=0.04), those with a more favorable course of the disease, unlike the hospitalized population over 55 years whose mortality rate was above 5.6% (p=0.04). The DENV serotype 2 was most related to the infections that led to hospitalization (p<0.001). Goiânia is figured as an urban center with a high incidence of dengue in all years of the series, especially in 2008 when they accounted for 36.6% of all reported cases and 75% of deaths in the Midwest. The dengue fever was the most prevalent clinical form (99.7%). Cases with complications (Dengue Hemorrhagic Fever and Dengue Shock Syndrome), had increasing reports since the beginning of the series, especially in the years 2008 and 2009, occurred when recirculation of DENV 1 and DENV 2, respectively, also providing a high case fatality. The spatial distribution of deaths from dengue in Goiânia, showed that the administrative districts of Campinas and the Centre had the highest prevalence (22.2% and 17.1%) respectively.
A dengue é uma das principais doenças reemergentes no mundo, proporcionada principalmente pelas mudanças ambientais e econômicas no espaço social organizado. Com o aumento da incidência nacional das formas graves e de óbitos, torna-se necessário um melhor entendimento da real magnitude da doença a nível local, tendo como objetivo a caracterização da distribuição demográfica dos casos de dengue no município de Goiânia, no período de 2001 a 2009. Trata-se de um estudo epidemiológico descritivo e transversal, cujo dados foram fornecidos pelo Departamento de Epidemiologia da Secretaria Municipal de Saúde de Goiânia, sendo extraídas as informações referentes as variáveis da ficha do Sistema de Informação de Agravos de Notificação. No período analisado foram notificados 124.629 casos de dengue, comprometendo mais indivíduos do sexo feminino, da raça branca, que residiam na zona urbana, com maior incidência na etária de 15 a 24 anos (p<0,001). Durante o período de estudo, foram identificados os três sorotipos DENV 1, DENV 2 e DENV 3, sendo este último identificados em todos os anos da série, com alternância dos demais. Não houve preferências de um determinado sorotipo quanto ao sexo, a raça e a idade dos indivíduos infectados. De 124.629 casos de dengue, 4,4% necessitaram de hospitalização com acometimento maior do grupo etário de 5 a 14 anos (p=0,04), estes com uma evolução mais favorável da doença, ao contrário da população hospitalizada acima de 55 anos, cuja taxa de mortalidade esteve acima de 5,6% (p=0,04). O sorotipo DENV 2 foi o mais relacionado com as infecções que motivaram a hospitalização (p<0,001). Goiânia figurou-se como centro urbano de alta incidência de dengue em todos os anos da série, principalmente em 2008, quando foi responsável por 36,6% de todos os casos notificados e 75% dos óbitos da região Centro-Oeste. A dengue clássica foi a forma clínica com maior prevalência (99,7%). Os casos com complicações (Febre Hemorrágica da Dengue e Síndrome do Choque da Dengue), tiveram notificação crescente desde o início da série, em especial nos anos de 2008 e 2009, quando ocorreu a recirculação do DENV 2 e DENV 1, respectivamente, proporcionando também uma alta letalidade de casos. A distribuição espacial dos óbitos pela dengue em Goiânia, revelou que os distritos administrativos do Centro e de Campinas foram os de maior prevalência (22,2% e 17,1%) respectivamente.
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Maharani, Aussie Tahta, and 歐陽希. "Spatial and Temporal Analyses of Dengue Fever Incidence in Tainan and Kaohsiung." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/t77ux2.
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碩士中原大學
環境工程學系
107
Dengue fever is an endemic disease in southern Taiwan, majority in Tainan and Kaohsiung, and it usually peak in summer and fall seasons. Aside from weather factors, the environmental and socio-economic factors could also affect the risk. The objective of this study is to identify environmental and weather factors that affect the dengue fever risk and make prediction of dengue fever in near future at district level. Using monthly dengue fever and weather data from 1998 to 2013, we predict dengue fever cases using Autoregressive Integrated Moving Average model in near future (3 months ahead). To analyze and identify the spatial association between weather, environment and socio-economic data towards dengue fever, this study used Land Use Regression model with Generalize Linear Model with Poisson distribution. Based on confirmed dengue fever data obtaining from Taiwan Centers for Disease Control from 1998 to 2013, we calculated the prevalence rate to determine which year have higher prevalence rate amongst study period and six high-risk districts were identified in Tainan (North, East, and West Central district) and Kaohsiung (Fengshan, Qianzhen, and Sanmin district). We specifically analyzed the association between environmental, socio-economic and dengue fever cases in the representative years (2007 and 2010 in Tainan and 2002 and 2011 in Kaohsiung), that the dengue fever cases numbers were higher than other years. In Tainan and Kaohsiung, spatial visualization figures showed that dengue fever were clustered in areas with higher number of flat-type house, higher unemployment population, and higher number of low-education level population, mostly clustered in downtown area. The correlation analysis showed that mean temperature, cumulative rainfall, wind speed and dengue monthly index were associated with dengue fever both in positive and negative association in six high-risk districts. For temporal prediction using ARIMA, we found that the prediction in district-level have better performance than city-level prediction based on its Akaike Information Criterion values. This study identified spatial risk factors, such as education level, housing type, population density, elders population, distance to greenness, open space, and water bodies, wastewater pipe diameter, mosquito indices, and elevation. In Kaohsiung, distance to nearest lake found to have negative association. Distance to nearest forest and agriculture area found to have positive association with dengue fever in both Tainan and Kaohsiung. However, all mosquito indices found to have no significance with dengue fever cases in both Tainan and Kaohsiung. Socioeconomic level, such as number of unemployed populations, education level (populations graduated from elementary school and populations graduated from university and higher), and housing type (flat-type house, 2-5 floors residential, and 6-12 floors residential building) also found to have positive significant correlation. Populations aged 55-64 years also found to have significance association with dengue fever in both Tainan and Kaohsiung. Six districts in Tainan and Kaohsiung were at high-risk of dengue fever based on its prevalence rate. Mean temperature, wind speed, and cumulative rainfall were associated with dengue fever incidence in Tainan and Kaohsiung. Socioeconomic, population, and environmental factors, such as populations graduated from elementary school and populations graduated from university, number of unemployed populations, population density, population aged 55-64 years, and distance to nearest lake, forest, and agriculture area, found to be contributed to the dengue fever risk.
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DinarYarani and 亞拉妮. "Potential Impact of Precipitation on Dengue Fever Incidence: Case Study in Indonesia and Taiwan." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/pf9ad5.
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碩士國立成功大學
環境醫學研究所
101
Dengue is a significant public health burden in Indonesia and Taiwan. High peaks for dengue outbreak is reported on rainy season which varies in these areas. This suggests that precipitation is likely to exert potential impact on dengue fever outbreak in tropical and/or subtropical regions. This study is aimed for assessing the potential impact of precipitation on dengue fever incidence in two tropical regions: Bandung, Indonesia and Kaohsiung, Taiwan from 1998 to 2011. Official statistics of dengue incidence was obtained from Bandung Health Bureau and Taiwan Center for Disease Control (CDC), and weather information including average temperature, relative humidity (RH) and precipitation were obtained from Badan Meteorologi dan Geofisika Bandung and Taiwan Central Weather Bureau. Poisson regressions with generalized additive model were utilized to evaluate the associations between weather factors and dengue fever incidence. Estimated relative risks were adjusted for temperature, RH, El Niño year (about three years a cycle) in rainy season (November-March in Indonesia and April-October in Taiwan), and dry season (April-October in Indonesia and November-March in Taiwan). Each weather factor was investigated for month lag of 0-3 in Indonesia and day lag of 0-84 in Taiwan. In Kaohsiung, during rainy season an increase in precipitation (30 mm), temperature (1°C), and RH (1%) at 56 days prior were associated with 9.29% (95% confidence interval (CI)= 8.59-10.01%; p-value 〈 0.001), 71.53% (95% CI= 67.46-75.7%; p-value 〈 0.001), and 5.97% (95% CI= 2.01-10.09%; p-value= 0.0029) increases of dengue incidence, respectively. Meanwhile, the most significant condition for dry season is at lag-63 days where an increase of 30 mm precipitation, 1°C temperature, and 1% RH were associated with an increase of 18.51% (95% CI= 6.91-31.37%; p-value = 0.0013), 73.83% (95% CI= 68.89-78.91%; p-value 〈 0.0001), and 1.3% (95 % CI= 0.47-2.14%; p-value = 0.0022) of dengue fever incidence. In Bandung at 3-months prior during rainy season, an increase in precipitation (30 mm), temperature (1°C), and RH (1%) at 3-months prior would raise the incidence of dengue by 58.51% (95% CI= 34.59-86.68%; p-value 〈 0.001), 36.94% (95% CI= 32.48-41.54%; p-value 〈 0.001), and 4.42% (95% CI= 3.87-4.97%; p-value 〈 0.001), respectively. In dry season, a 30 mm increase in precipitation and 1% increase in RH at 3-months prior were positively associated with 112.16% (95% CI= 85.36-142.80%; p-value 〈 0.001) and 1.89% (95% CI= 1.28-2.53%; p-value 〈 0.001) increase of dengue incidence, whereas 1°C increase in temperature was associated with 5.45% (95% CI= 1.57-9.18%; p-value= 0.0081) decrease of dengue incidence. Our findings indicate that precipitation and temperature are trigging factors for dengue incidence in Bandung and Kaohsiung. However, effects of precipitation in Bandung were stronger than those in Kaohsiung; whereas effects of temperature in Bandung were weaker than those in Kaohsiung. This finding may result from that Bandung has higher humidity and cooler compare to Kaohsiung. Study also finds effect of precipitation in dry season is stronger than in rainy season for both areas. These findings may be served as an early warning systems based on weather forecast that can help reinforce preventive measures.
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LIU, WEI-KANG, and 劉維剛. "Research on the spatial relationship among dengue incidence rate and social economic factors." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/62468d.
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碩士逢甲大學
都市計畫與空間資訊學系
105
The epidemic of dengue fever worldwide has become much more severe under the recent trend of climate change resulted from global warming. Warmer climate enables the distribution of dengue vectors expands from tropical zone to temperate zone. More than 40% of the world's populations are living in areas where are at risk for infection, and Taiwan is no exception. In this study, we attempt to explore the spatial relation of incidence rate of dengue fever in Tainan city, by using social economic data collected in 2015 with basic statistical area (BSA) as data format. First we calculate Moran’s I to identify the existence of clusters in raw dengue incidence rate, then use spatial empirical Bayes smoothing method to adjust its spatial distribution. By correlation analysis we identify four social economic variables having highest correlation coefficient with dengue incidence rate, namely population density, proximity to provincial road, proximity to train station and education level below junior high school. We apply these variables to construct an ordinary least squares (OLS) model and a Geographically Weighted Regression (GWR) model as a comparison. By comparing analytic results from two models, we found that GWR is more suitable than OLS for modeling social economic variables in respect to higher R2 and AICc. This result shows that the social economic data collected from local area is able to reflect infection risk of dengue fever, which gives a clue to public health policy making. However, interpretation of the GWR modeling results requires the use of contextual and other underlying spatial information. More efforts are definitely needed for further study in this topic.
Books on the topic "Dengue fever incidence rate"
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Integrated Management Strategy for Arboviral Disease Prevention and Control in the Americas. Organización Panamericana de la Salud, 2020. http://dx.doi.org/10.37774/9789275120491.
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In recent years, conditions in the Region of the Americas have been highly favorable for the introduction and spread of arthropod-borne viral infections (arboviral diseases). Although dengue has been circulating for over 400 years, the number of cases reported since the year 2000 represents an unprecedented increase, with four serotypes in circulation. Since that year, 19.6 million cases of dengue have been reported to PAHO/WHO, including more than 800,000 severe cases and over 10,000 deaths. In 2015 and 2016 alone, more than 4.8 million cases were reported, 17,000 of them severe, resulting in 2,000 deaths. Despite a 23% reduction in the dengue case-fatality rate in the last six years (from 0.069% to 0.053%), the continued risk of severe disease and even death poses a serious public health problem in the Americas. Today, arboviruses present an extremely complex and unstable epidemiological situation, given the simultaneous epidemic circulation of three arboviral diseases and the risk that others could become epidemics, for example, Mayaro fever. Countries are aware that this complex situation can only be addressed with a comprehensive and multidisciplinary approach. The development of IMS-arbovirus is part of a history of technical cooperation between PAHO/WHO and the countries and territories of the Americas. It is based on the lessons learned during the development and implementation of national IMS-dengue programs in recent years. This history of cooperation is not new. It dates back to October 1947, with the adoption of Resolution CD1.R1 during the first Directing Council of PAHO. This resolution stated that the solution to the problem of urban yellow fever would be the eradication of Ae. aegypti in the entire hemisphere. The success of that campaign was demonstrated in 1962, with the eradication of this vector in 18 countries in the Region and several Caribbean islands.
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Mesquita, Emersom C., and Fernando A. Bozza. Diagnosis and management of viral haemorrhagic fevers in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0293.
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In a globalized scenario where widespread international travel allows viral agents to migrate from endemic to non-endemic areas, health care providers and critical care specialists must be able to readily recognize a suspected case of viral haemorrhagic fever (VHF). Early suspicion is pivotal for improving patient outcome and to ensure that appropriate biosafety measures be applied. VHFs are acute febrile illnesses marked by coagulation disorders and organ specific syndromes. VHFs represent a great medical challenge because diseases are associated with a high mortality rate and many VHFs have the potential for person-to-person transmission (Filoviruses, Arenavioruses, and Bunyaviroses). Dengue is the most frequent haemorrhagic viral disease and re-emergent infection in the world and, due to its public health relevance, severe dengue will receive special attention in this chapter. The diagnosis of VHFs is made by detecting specific antibodies, viral antigens (ELISA) and viral nucleic acid (RT-PCR) on blood samples. Supportive care is the cornerstone in the treatment of VHFs. Ribavirin should be started as soon as a case of VHF is suspected and discontinued if a diagnosis of Filovirus or Flavivirus infection is established. Adjunctive antimicrobial therapy is usually implemented to treat co-existing or secondary infections. Antimalarial treatment should also be initiated if a malaria test (thick blood films) is not quickly available and/or reliable and patients travel history is compatible. It is always recommended to apply appropriate biosafety measures and notify local infection control unit and state and national authorities.
Book chapters on the topic "Dengue fever incidence rate"
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Tawatsin, Apiwat, and Usavadee Thavara. "Dengue Haemorrhagic Fever in Thailand: Current Incidence and Vector Management." In Vector Biology, Ecology and Control, 113–25. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-2458-9_8.
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Wang, Hongbin, Danning Xu, Jianhua Xiao, Ru Zhang, and Jing Dong. "THE RELATIONSHIP BETWEEN MONTHDISEASE INCIDENCE RATE AND CLIMATIC FACTOR OF CLASSICAL SWINE FEVER." In IFIP Advances in Information and Communication Technology, 959–66. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0211-5_20.
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Derouich, Mohamed. "Dengue Fever." In Handbook of Research on Systems Biology Applications in Medicine, 809–24. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-076-9.ch044.
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Dengue fever is a re-emergent disease affecting more than 100 countries. Its incidence rate has increased fourfold since 1970 with nearly half the world’s population now at risk. In the chapter, a mathematical model with immunization is proposed to simulate the succession of 2 epidemics with variable human populations. Stability of the equilibrium points is carried out and simulation is given for different parameters settings.
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Gambhir, Shalini, Sanjay Kumar Malik, and Yugal Kumar. "The Diagnosis of Dengue Disease." In Cognitive Analytics, 1076–95. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch055.
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This article describes how Dengue fever is a fatal and hazardous disease resulting from the bite of several species of the female mosquito (principally, Aedesaegypti). Symptoms of the dengue fever mimic those of a number of other infectious and/or mosquito-borne tropical diseases such as Viral flu, Chikungunya, and Zika fever. Yet, with dengue fever, human life can be more at risk due to severe depletion of blood platelets. Thus, early detection of dengue disease can ensure saving lives; furthermore, it can help in making a preventive move before the disease progresses to epidemic proportion. Hence, the target of this article is to propose a model for an early detection and precise diagnosis of dengue disease. In this article, three prevalent machine learning methodologies, including, Artificial Neural Network (ANN), Decision Tree (DT) and Naive Bayes (NB) are evaluated for designing a diagnostic model. The performance of these models is assessed utilizing available dengue datasets. Results comparing and contrasting performance of diagnostic models utilizing accuracy, sensitivity, specificity and error rate parameters showed that ANN-based diagnostic model appears to yield better performance measures over both the DT and NB models.
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Dhamodharavadhani, S., and R. Rathipriya. "Forecasting Dengue Incidence Rate in Tamil Nadu Using ARIMA Time Series Model." In Machine Learning for Healthcare, 187–202. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429330131-13.
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Chan, Emily Ying Yang. "Climate Change and Health." In Essentials for Health Protection, 21–62. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198835479.003.0003.
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Climate change poses one of the biggest threats to public health in the twenty-first century. Climate-related disasters include extreme temperature events, extreme precipitation, sea-level rise, flooding, and drought. According to estimates by the World Health Organization, climate change may lead to an annual death rate of 250,000 between 2030 and 2050. The direct health impact of climate change includes mortality and morbidity associated with extreme temperature (e.g. heat stroke) and changing patterns of respiratory and cardiovascular diseases, as a result of more frequent and severe extreme temperature events. Climate change also has indirect health impacts by facilitating the breeding of mosquitoes to spread vector-borne diseases such as malaria and dengue fever, reducing access to clean water and food supplies resulted from drought or flood, and leading to forced migration associated with the loss of economic livelihood of communities. Adaptation and mitigation are the two main approaches adopted to alleviate and manage the health risks of climate change to achieve climate-resilient pathways for sustainable development.
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Klubo-Gwiezdzinska, Joanna, and Leonard Wartofsky. "Thyrotoxic storm." In Oxford Textbook of Endocrinology and Diabetes, 454–61. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780199235292.003.3173.
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Although a rare presentation of the exaggerated manifestations of thyrotoxicosis, thyrotoxic storm is arguably the most serious complication of hyperthyroidism because of its high mortality rate. An accurate estimation of its incidence is impossible to determine because of considerable variability in the criteria for its diagnosis. The syndrome does appear to be significantly less common today than in the past, perhaps because of earlier diagnosis and treatment of thyrotoxicosis, thereby precluding its progression to the stage of crisis. Nevertheless, the syndrome may occur in 1–2% of hospital admissions for thyrotoxicosis. In such patients, it is not usually possible to distinguish those with thyrotoxic storm from those with uncomplicated thyrotoxicosis simply on the basis of routine function tests. Rather, the clinical diagnosis is based on the identification of signs and symptoms which are seen typically in thyrotoxic storm and which suggest decompensation of a number of organ systems. Some of these typical or cardinal manifestations include fever (temperature usually above 38.5°C), tachycardia out of proportion to the fever, central nervous system signs varying from confusion to apathy and even coma, and gastrointestinal dysfunction, which can include nausea, vomiting, diarrhoea, and, in severe cases, jaundice. A semiquantitative scale (Table 3.3.3.1) has been developed to aid in diagnosis (1). The earliest possible diagnosis and subsequent implementation of treatment are required to avoid a fatal outcome. Even with early diagnosis, death can occur, and reported mortality rates have ranged from 10% to 75% in hospitalized patients (1–3).
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Wani, Robert Serafino, and Satya Das. "Cardiovascular Infections." In Tutorial Topics in Infection for the Combined Infection Training Programme. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198801740.003.0037.
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Infective endocarditis (IE) is inflammation of the endothelial lining of the heart valves due to infective causes. IE is a rare condition with an incidence rate of three to nine cases per 100,000 population with a male to female ratio of 2:1. The rate is higher in people with unrepaired cyanotic congenital heart disease, prosthetic heart valves and previous endocarditis. Other risk factors for IE include: rheumatic fever (now accounts for < 10% of IE cases in developed countries), degenerative conditions of heart valves, intravenous drug abuse, diabetes, and HIV infection. One third of the cases are now healthcare associated infection (HCAI), particularly with haemodialysis, cardiac surgery, implantable cardiac devices, intravascular lines, and urinary catheters. In the past decade Staphylococcus aureus has replaced viridans streptococci as the leading cause of IE, the rate of enterococcal (mostly E. faecalis) and Bartonella IE has increased, while that of culture negative endocarditis has decreased. Untreated IE is a uniformly fatal condition, but the mortality rate can be reduced to 5–40% with appropriate treatment. There are two important prerequisite steps to the development of IE: 1. A damaged endothelium due to high pressure gradient and turbulent blood flow around a heart valve or septal defect. Fibrin and platelet deposition occur on the roughened endothelium forming a non-infective thrombus or vegetation. 2. Bacteraemia due to endocarditis-prone organisms resulting from trauma to mucous membranes (e.g. oral cavity, urinary, and gastrointestinal tract) or other colonized tissue or foreign body, which is not cleared by host defence mechanisms. Micro-organisms then attach to the damaged endothelium through a specific ligand-receptor interaction (hence the predilection for certain organisms to cause endocarditis, e.g. viridans streptococci from the mouth), colonize the thrombus, and grow and multiply within it to give rise to a mature/infective vegetation, which is the pathological hallmark of IE. Virulent organisms, classically S. aureus, can apparently infect a healthy endocardium. Damage to the endothelium results in valvular incompetence/regurgitation and symptoms and signs of heart failure and when severe, it is a potentially fatal condition that requires urgent valve surgery, even if the infection has fully responded to antimicrobial therapy.
Conference papers on the topic "Dengue fever incidence rate"
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Koraag, Meiske Elisabeth. "INCIDENCE OF DENGUE HEMORRHAGIC FEVER AFTER THE EARTHQUAKE IN CENTRAL SULAWESI INDONESIA." In International Conference on Public Health. The International Institute of Knowledge Management, 2021. http://dx.doi.org/10.17501/24246735.2020.6105.
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The earthquake can cause a potential transmission of the disease after the disaster. One of the infectious diseases that could potentially be a post-earthquake outbreak is Dengue Hemorrhagic Fever (DHF). The earthquake, followed by a tsunami and liquefaction that struck Palu's city, Sigi's regency, and the regency of Donggala in Central Sulawesi in September 2018, led to the increased transmission of the dengue hemorrhagic fever disease in all three regions. This research aims to determine the incidence rate of DHF in the affected areas of the earthquake disaster in Central Sulawesi. The data used involved the number of DHF cases before and after the earthquake (2015- 2019) in Palu, Sigi, and Donggala. The data was obtained from the Health Office of Central Sulawesi Province. The results of the analysis showed that the Incidence Rate (IR) of DHF in 2019 was 165.94 (Palu), 77.13 (Sigi), and 62.86 (Donggala). Dengue Hemorrhagic Fever's IR increased after the earthquake in Palu, Sigi, and Donggala in 2019 that marked the outbreak of DHF in all three regions. The highest increase in the DHF cases was found in Palu. The efforts to improve the health system are needed by strengthening DHF diagnosis, DHF case reporting, vector surveillance, active temephos distribution, and community empowerment to reduce DHF vector breeding sites. Keywords: Earthquake, DHF, Outbreak
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Hosein, Sarah, Raid Al-Tahir, and Bheshem Ramlal. "Spatiotemporal analysis of dengue hemorrhagic fever and dengue shock syndrome incidence within Trinidad, West Indies." In the Second ACM SIGSPATIAL International Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2535708.2535710.
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Kesetyaningsih, Tri Wulandari, and Reza Arief Fauzan. "The Relationship Between Climate Factors and Dengue Hemorrhagic Fever Incidence in Sleman, Yogyakarta." In 4th International Conference on Sustainable Innovation 2020–Health Science and Nursing (ICoSIHSN 2020). Paris, France: Atlantis Press, 2021. http://dx.doi.org/10.2991/ahsr.k.210115.116.
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Yates, Ashley D. "Unbiased Introduction, Topic 2: What is the single best strategy for decreasing dengue fever virus (breakbone fever) incidence worldwide?" In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.117766.
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Sahariyani, Menik, Siti Thomas Zulaikhah, and Wenda Nur Cholifah. "Association Between Environmental Sanitation and Incidence of Dengue Hemorrhagic Fever in an Endemic Area." In The 4th International Conference on Public Health 2018. Masters Programme in Public Health, Universitas Sebelas Maret, 2018. http://dx.doi.org/10.26911/theicph.2018.01.76.
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Setyaningsih, Wiwik. "Spatio-Temporal Analysis on Endemicity of Dengue Hemorrhagic Fever in Sragen District, Central Java." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.01.33.
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ABSTRACT Background: In recent decades, the incidence of dengue hemorrhagic fever (DHF) has risen significantly around the world. In Indonesia, studies reported 77.96 cases per 100,000 person-years in 2016 with the highest average number of cases in West Java. This study aimed to investigate the spatio-temporal analysis on endemicity of dengue hemorrhagic fever in Sragen Regency, Central Java. Subjects and Method: This was a descriptive study with cross-sectional design conducted in Sragen, Central Java from 2016 to 2018. A total of 1,354 cases was selected by total sampling. The main variable under study was the DHF incidence. The data were described by frequency distribution tables. Data were analyzed by spatio-temporal analysis method with overlay function using Geographic Information System (GIS). Results: The spatio-temporal analysis showed an increased DHF incidence in all sub-districts in Sragen Regency for three consecutive years 2016 to 2018. The highest incidence was 94 cases per 100,000 population in 2016. Sragen Regency was considered endemic areas of DHF. Conclusion: All sub-districts in Sragen Regency were endemic areas of DHF from 2016 to 2018. Keywords: spatio-temporal analysis, GIS, DHF, endemic Correspondence: Wiwik Setyaningsih. School of Health Polytechnics, Ministry of Health, Surakarta. Jl. Letjen. Sutoyo, Mojosongo, Surakarta, Central Java. Email: wiwikwonorejo@yahoo.com. Mobile: +628122593472. DOI: https://doi.org/10.26911/the7thicph.01.33
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Banditvilai, Somsri, and Siriluck Anansatitzin. "COMPARATIVE STUDY OF THREE TIME SERIES METHODS IN FORECASTING DENGUE HEMORRHAGIC FEVER INCIDENCE IN THAILAND." In 35th International Academic Conference, Barcelona. International Institute of Social and Economic Sciences, 2018. http://dx.doi.org/10.20472/iac.2018.935.007.
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Andersson, Virginia Ortiz, Cristian Cechinel, and Ricardo Matsumura Araujo. "Combining Street-level and Aerial Images for Dengue Incidence Rate Estimation." In 2019 International Joint Conference on Neural Networks (IJCNN). IEEE, 2019. http://dx.doi.org/10.1109/ijcnn.2019.8851749.
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Lundy, Fiashriel, and Prima Soultoni Akbar. "The Effect of the Model of Eradication of Dengue Fever Vector Movement of Housewives Monitoring Larva in Efforts to Prevent Dengue Fever in Mojolangu Village, Lowokwaru District Malang." In The 7th International Conference on Public Health 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph.05.16.
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ABSTRACT Background: In recent years, the incidence and geographic distribution of dengue fever have greatly increased. Dengue fever is an acute viral disease transmitted by mosquitoes and is characterized by fever, headache, muscle and joint pain, skin rash, nausea and vomiting. The Mosquito Nest Eradication Program (PSN) through 3M Plus needs to be carried out continuously throughout the year, especially in the rainy season through the movement of housewife who monitor larvae. This study aimed to determine the effect of the dengue fever vector eradication model through the housewife movement of larva monitoring in the efforts of dengue fever prevention in Mojolangu Village, Malang City. Subjects and Method: This was a quasi-experiment using 2 treatment groups and 1 control group conducted at Mojolangu village, Lowokwaru district, Malang. A sample of 90 respondents divided into three groups was selected by purposive sampling. The dependent variable was DHF Prevention Efforts (Larva Monitoring). The independent variables were Dengue Fever Vector Eradication Model. The data were collected by questionnaire and observation. The data was analyzed by Kruskal-Wallis. Results: After being given treatment in group 1 (educated by health workers) and group 2 (trained cadres) the ability increased to be very good by 83% and 53%. In group 3 (control) his ability improved by 37%. Group 1 has the most effective influence in increasing knowledge and skills. Then group 2 with a significance value of <0.001 (p <0.005). Conclusion: Housewife are a resource in Family Empowerment and Intervention models. The eradication of dengue vectors needs regular monitoring and monitoring so that self-awareness and independence from the family can increase so that the degree of health can be achieved optimally. Keywords: Model, eradication, vector, dengue fever, larva Correspondence: Fiashriel Lundy. School of Health Polytechnics, Ministry of Health Malang. Jl. Besar Ijen No 77, Oro-oro Dowo, Klojen sub-distric, Malang, East Java. Email: fiashriellundy@yahoo.com. Mobile: 0811367446 DOI: https://doi.org/10.26911/the7thicph.05.16
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Hastuti, Nunik Maya, Ruben Dharmawan, and Dono Indarto. "SANITATION-RELATED BEHAVIOR, CONTAINER INDEX, AND THEIR ASSOCIATIONS WITH DENGUE HEMORRHAGIC FEVER INCIDENCE IN KARANGANYAR, CENTRAL JAVA." In THE 2ND INTERNATIONAL CONFERENCE ON PUBLIC HEALTH. Masters Program in Public Health, Graduate School, Sebelas Maret University Jl. Ir Sutami 36A, Surakarta 57126. Telp/Fax: (0271) 632 450 ext.208 First website:http//: pasca.uns.ac.id/s2ikm Second website: www.theicph.com. Email: theicph2017@gmail.com, 2017. http://dx.doi.org/10.26911/theicph.2017.018.
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