Relevant bibliographies by topics / Malaria – Botswana

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  2. Dissertations / Theses
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  4. Book chapters

Academic literature on the topic 'Malaria – Botswana'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Malaria – Botswana"

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Craig, M. H., I. Kleinschmidt, L. Gosoniu, M. Mabaso, P. Vounatsou, and T. Smith. "SPATIAL STATISTICAL ANALYSIS OF MALARIA PREVALENCE DATA IN BOTSWANA." Epidemiology 16, no. 5 (September 2005): S115—S116. http://dx.doi.org/10.1097/00001648-200509000-00290.

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Chirebvu, Elijah, Moses John Chimbari, and Barbara Ntombi Ngwenya. "Assessment of Risk Factors Associated with Malaria Transmission in Tubu Village, Northern Botswana." Malaria Research and Treatment 2014 (March 16, 2014): 1–10. http://dx.doi.org/10.1155/2014/403069.

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This study investigated potential risk factors associated with malaria transmission in Tubu village, Okavango subdistrict, a malaria endemic area in northern Botswana. Data was derived from a census questionnaire survey, participatory rural appraisal workshop, field observations, and mosquito surveys. History of malaria episodes was associated with several factors: household income (P<0.05), late outdoor activities (OR = 7.016; CI = 1.786–27.559), time spent outdoors (P=0.051), travel outside study area (OR = 2.70; CI = 1.004–7.260), nonpossession of insecticide treated nets (OR = 0.892; CI = 0.797–0.998), hut/house structure (OR = 11.781; CI = 3.868–35.885), and homestead location from water bodies (P<0.05). No associations were established between history of malaria episodes and the following factors: being a farmer (P>0.05) and number of nets possessed (P>0.05). Eave size was not associated with mosquito bites (P>0.05), frequency of mosquito bites (P>0.05), and time of mosquito bites (P>0.05). Possession of nets was very high (94.7%). Close proximity of a health facility and low vegetation cover were added advantages. Some of the identified risk factors are important for developing effective control and elimination strategies involving the community, with limited resources.
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Simon, Chihanga, Kentse Moakofhi, Tjantilili Mosweunyane, Haruna Jibril, Bornapate Nkomo, Mpho Motlaleng, Davies Ntebela, Emmanuel Chanda, and Ubydul Haque. "Malaria control in Botswana, 2008–2012: the path towards elimination." Malaria Journal 12, no. 1 (2013): 458. http://dx.doi.org/10.1186/1475-2875-12-458.

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Jones, Anne E., and Andrew P. Morse. "Application and Validation of a Seasonal Ensemble Prediction System Using a Dynamic Malaria Model." Journal of Climate 23, no. 15 (August 1, 2010): 4202–15. http://dx.doi.org/10.1175/2010jcli3208.1.

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Abstract Seasonal multimodel forecasts from the Development of a European Multimodel Ensemble System for Seasonal-to-Interannual Prediction (DEMETER) project are used to drive a malaria model and create reforecasts of malaria incidence for Botswana, in southern Africa, in a unique integration of a fully dynamic, process-based malaria model with an ensemble forecasting system. The forecasts are verified against a 20-yr malaria index and compared against reference simulations obtained by driving the malaria model with data from the 40-yr European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA-40). Performance assessment reveals skill in the DEMETER-driven malaria forecasts for prediction of low (below the lower tercile), above-average (above the median), and high (above the upper tercile) malaria events, with the best results obtained for low malaria events [relative operating characteristics (ROC) area = 0.84, 95% confidence interval = 0.63–1.0]. For high malaria events, the DEMETER-driven malaria forecasts are skillful, but the forecasting system performs poorly for those years that it predicts the highest probabilities of a high malaria event. Potential economic value analysis demonstrates the potential value for the DEMETER-driven malaria forecasts over a wide range of user cost-loss ratios, which is primarily due to the ability of the system to save on the cost of action in low malaria years.
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Chihanga, Simon, Allison Tatarsky, Tjantilili Mosweunyane, Mpho Motlaleng, Lesedi Bewlay, Katy Digovich, Enele Mankhi, et al. "Toward malaria elimination in Botswana: a pilot study to improve malaria diagnosis and surveillance using mobile technology." Malaria Journal 11, Suppl 1 (2012): P96. http://dx.doi.org/10.1186/1475-2875-11-s1-p96.

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MacLeod, Dave A., Anne Jones, Francesca Di Giuseppe, Cyril Caminade, and Andrew P. Morse. "Demonstration of successful malaria forecasts for Botswana using an operational seasonal climate model." Environmental Research Letters 10, no. 4 (April 1, 2015): 044005. http://dx.doi.org/10.1088/1748-9326/10/4/044005.

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Quartey-Papafio, Tawiah Kwatekwei, Sifeng Liu, and Sara Javed. "Grey relational evaluation of impact and control of malaria in Sub-Saharan Africa." Grey Systems: Theory and Application 9, no. 4 (October 14, 2019): 415–31. http://dx.doi.org/10.1108/gs-06-2019-0020.

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Purpose The rise in malaria deaths discloses a decline of global malaria eradication that shows that control measures and fund distribution have missed its right of way. Therefore, the purpose of this paper is to study and evaluate the impact and control of malaria on the independent states of the Sub-Saharan African (SSA) region over the time period of 2010–2017 using Deng’s Grey incidence analysis, absolute degree GIA and second synthetic degree GIA model. Design/methodology/approach The purposive data sampling is a secondary data from World Developmental Indicators indicating the incidence of new malaria cases (per 1,000 population at risk) for 45 independent states in SSA. GIA models were applied on array sequences into a single relational grade for ranking to be obtained and analyzed to evaluate trend over a predicted period. Findings Grey relational analysis classifies West Africa as the highly infectious region of malaria incidence having Burkina Faso, Sierra Leone, Ghana, Benin, Liberia and Gambia suffering severely. Also, results indicate Southern Africa to be the least of all affected in the African belt that includes Eswatini, Namibia, Botswana, South Africa and Mozambique. But, predictions revealed that the infection rate is expected to fall in West Africa, whereas the least vulnerable countries will experience a rise in malaria incidence through to the next ten years. Therefore, this study draws the attention of all stakeholders and interest groups to adopt effective policies to fight malaria. Originality/value The study is a pioneer to unravel the most vulnerable countries in the SSA region as far as the incidence of new malaria cases is a concern through the use of second synthetic GIA model. The outcome of the study is substantial to direct research funds to control and eliminate malaria.
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Moakofhi, K., J. K. Edwards, M. Motlaleng, J. Namboze, W. Butt, M. Obopile, T. Mosweunyane, M. Manzi, K. C. Takarinda, and P. Owiti. "Advances in malaria elimination in Botswana: a dramatic shift to parasitological diagnosis, 2008–2014." Public Health Action 8, no. 1 (April 25, 2018): S34—S38. http://dx.doi.org/10.5588/pha.17.0017.

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THOMSON, MADELEINE C., SIMON J. MASON, STEPHEN J. CONNOR, and THANDIE PHINDELA. "USE OF RAINFALL AND SEA SURFACE TEMPERATURE MONITORING FOR MALARIA EARLY WARNING IN BOTSWANA." American Journal of Tropical Medicine and Hygiene 73, no. 1 (July 1, 2005): 214–21. http://dx.doi.org/10.4269/ajtmh.2005.73.214.

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Motlaleng, M., J. Edwards, J. Namboze, W. Butt, K. Moakofhi, M. Obopile, M. Manzi, et al. "Driving towards malaria elimination in Botswana by 2018: progress on case-based surveillance, 2013–2014." Public Health Action 8, no. 1 (April 25, 2018): S24—S28. http://dx.doi.org/10.5588/pha.17.0019.

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Dissertations / Theses on the topic "Malaria – Botswana"

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Michell, Justin Walter. "A review of generalized linear models for count data with emphasis on current geospatial procedures." Thesis, Rhodes University, 2016. http://hdl.handle.net/10962/d1019989.

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Analytical problems caused by over-fitting, confounding and non-independence in the data is a major challenge for variable selection. As more variables are tested against a certain data set, there is a greater risk that some will explain the data merely by chance, but will fail to explain new data. The main aim of this study is to employ a systematic and practicable variable selection process for the spatial analysis and mapping of historical malaria risk in Botswana using data collected from the MARA (Mapping Malaria Risk in Africa) project and environmental and climatic datasets from various sources. Details of how a spatial database is compiled for a statistical analysis to proceed is provided. The automation of the entire process is also explored. The final bayesian spatial model derived from the non-spatial variable selection procedure using Markov Chain Monte Carlo simulation was fitted to the data. Winter temperature had the greatest effect of malaria prevalence in Botswana. Summer rainfall, maximum temperature of the warmest month, annual range of temperature, altitude and distance to closest water source were also significantly associated with malaria prevalence in the final spatial model after accounting for spatial correlation. Using this spatial model malaria prevalence at unobserved locations was predicted, producing a smooth risk map covering Botswana. The automation of both compiling the spatial database and the variable selection procedure proved challenging and could only be achieved in parts of the process. The non-spatial selection procedure proved practical and was able to identify stable explanatory variables and provide an objective means for selecting one variable over another, however ultimately it was not entirely successful due to the fact that a unique set of spatial variables could not be selected.
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Abdulla-Khan, Rehana. "A survey of the Anopheline mosquito fauna of Botswana, with special reference to the malaria vectors." Thesis, 2016. http://hdl.handle.net/10539/20555.

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Thesis (Ph.D.)--University of the Witwatersrand, Faculty of Science, 1998.
This study was initiated in order to determine the identities and distribution patterns of the anopheline fauna, more especially the malaria vectors, in regions of Botswana prone to malaria epidemics. Field samples collected from Shakawe, Maun and Kasane over three consecutive years were subjected to morphological, cytogenetic, isoenzyme and PCR analyses. The results established that Anopheles arabiensis and Anopheles funestus were the predominant vector species.
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Ngwenya, Sandile Blessing. "Meteorological influences on malaria transmission in Limpopo Province, South Africa." Diss., 2019. http://hdl.handle.net/11602/1463.

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MENVSC (Geography)
Department of Geography and Geo-Information Sciences
Semi-arid regions of Africa are prone to epidemics of malaria. Epidemic malaria occurs along the geographical margins of endemic regions, when the equilibrium between the human, parasite and mosquito vector populations are occasionally disturbed by changes in one or more meteorological factors and a sharp but temporary increase in disease incidence results. Monthly rainfall and temperature data from the South African Weather Service and malaria incidence data from Department of Health were used to determine the influence of meteorological variables on malaria transmission in Limpopo from 1998-2014. Meteorological influences on malaria transmission were analyzed using time series analysis techniques. Climate suitability for malaria transmission was determined using MARA distribution model. There are three distinct modes of rainfall variability over Limpopo which can be associated with land falling tropical cyclones, cloud bands and intensity of the Botswana upper high. ENSO and ENSO-Modoki explains about 58% of this variability. Malaria epidemics were identified using a standardized index, where cases greater than two standard deviations from the mean are identified as epidemics. Significant positive correlations between meteorological variables and monthly malaria incidence is observed at least one month lag time, except for rainfall which shows positive correlation at three months lag time. Malaria transmission appears to be strongly influenced by minimum temperature and relative humidity (R = 0.52, p<0.001). A SARIMA (2, 1, 2) (1, 0, 0)12 model fitted with only malaria cases has prediction performance of about 53%. Warm SSTs of the SWIO and Benguela Niño region west of Angola are the dominant predictors of malaria epidemics in Limpopo in the absence of La Niña. Warm SSTs over the equatorial Atlantic and Benguela Niño region results in the relaxation of the St. Helena high thus shifting the rainy weather to south-east Africa. La Niña have been linked with increased malaria cases in south-east Africa. During El Niño when rain bearing systems have migrated east of Madagascar ridging of the St. Helena high may produce conducive conditions for malaria transmission. Anomalously warmer and moist winters preceding the malaria transmission season are likely to allow for high mosquito survival and the availability of the breeding sites thus high population in the beginning of the transmission season hence resulting in increased epidemics.
NRF
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Saurombe, Nampombe Pearson. "Public programming of public archives in the East and Southern Africa regional branch of the International Council on Archives (ESARBICA):." Thesis, 2016. http://hdl.handle.net/10500/20084.

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Public programming initiatives are considered as an integral part of archival operations because they support greater use of archival records. This study investigated public programming practises in the ESARBICA region. The findings of the study were determined after applying methodological triangulation, within a quantitative research context. This included the use of self-administered questionnaires, semi-structured interviews and the analysis of documents and websites. Participants in this study were ESARBICA board members, Directors of the National Archives and archivists from the ESARBICA region. Nine (69.2%) national directors representing different member states completed the questionnaire and eight archivists from the same region were interviewed. Furthermore, three ESARBICA board members were also interviwed. Legislation and country reports from ESARBICA member states were reviewed, together with websites of institutions within the ESARBICA region that offered archival education and training. Findings of the study indicated that public programming initiatives were not a priority. Reasons for this included lack of public programming policies, budgetary constraints, shortage of staff and lack of transport. Furthermore, the national archives were reluctant to rope in technology to promote their archives. Collaboration efforts with regard to promoting archives were shallow. Moreover, the investigation of user needs was restricted to existing users of the archives. In addition to all this, the archivists felt that they needed to improve their public programming skills. The study therefore suggests that the national archives of ESARBICA should focus on: legislation, public programming policies, advocacy, users, partnerships and skills. Taking these factors into consideration, an inclusive and integrated public programming framework was developed and proposed as a possible measure for improving public programming efforts in the ESARBICA region.
Information Science
D. Litt. et Phil. (Information Science)
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Montesh, Moses. "A critical analysis of crime investigative system within the South African criminal justice system: a comparative study." Thesis, 2007. http://hdl.handle.net/10500/1272.

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With the establishment of the Directorate of Special Operations (Scorpions), the Asset Forfeiture Unit (AFU), the Special Investigating Unit (SIU) and the Departmental Investigating Unit (DIU), questions were asked as to whether this is a creation of new units of the Police Service. These questions were exaggerated by the fact that the media uses the term "Scorpions" whenever the Scorpions, the AFU, SIU and the DIU perform their functions. South African legislation that governs organised crime does not demarcate activities to be dealt with by the SAPS, AFU, DIU, Scorpions and the SIU. The Constitution of South Africa lays down the objects of the police, but it is silent about the objectives of the Scorpions, AFU, SIU, DIU and other investigative institutions except that it only mentions the creation of a single National Prosecuting Authority (NPA). A literature study was used as the basis for this study. In addition, unstructured interviews and observation were used to gather evidence from the relevant stakeholders. An analysis of the SAPS Detective Service, the Special Investigating Unit (SIU), the Scorpions, the Departmental Investigating Unit (DIU) of the Department of Correctional Services and the Asset Forfeiture Unit (AFU), was done in order to establish the overlapping of functions. Indeed, overlapping was discovered between the Scorpions and the SAPS Detective Service, the AFU and the SIU, as well as between the SAPS and the DIU. In order to make a proper finding, an analysis was done of anti-corruption agencies in Botswana, Nigeria, Malawi and Hong Kong. The findings indicate that the better way of fighting corruption, fraud, economic and financial crimes, is through the establishment of a single agency that will work independently from the police, with a proper jurisdiction.
Criminology
D.Litt. et Phil.(Police Science)
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Books on the topic "Malaria – Botswana"

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Mazonde, Isaac Ncube. Malaria epidemiological case study: An assessment of the attitudes of the risk population towards curative chloroquin tablets in Ngamiland, North West Botswana. Gaborone: National Institute of Development Research and Documentation, University of Botswana, 1988.

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United Nations. Development Programme. Country strategies for social development: The experience of Botswana. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Turkey. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of the Pacific Island countries. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Ukraine. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Guinea. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Malawi. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Pakistan. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of Sudan. New York: United Nations Development Programme, 1995.

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United Nations. Development Programme. Country strategies for social development: The experience of El Salvador. New York: United Nations Development Programme, 1995.

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Book chapters on the topic "Malaria – Botswana"

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Motsholapheko, M. R., and B. N. Ngwenya. "Access to Water Resources and Household Vulnerability to Malaria in the Okavango Delta, Botswana." In African Handbook of Climate Change Adaptation, 1227–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_165.

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AbstractMalaria is a persistent health risk for most rural communities in tropical wetlands of developing countries, particularly in the advent of climate change. This chapter assesses household access to water resources, livelihood assets, and vulnerability to malaria in the Okavango Delta of north-western Botswana. Data were obtained from a cross-sectional survey of 355 households, key informant interviews, PRA-based focus group discussions (FDGs), interviews with experts in various related fields, PRA workshop participant interviews, and literature review. There was high access to natural capital, and most households engaged in nature-based livelihood activities. Access to resources determined type of livelihood activities that households engaged in. However, there was no association between household exposure and/or susceptibility, and type of livelihood activities pursued by households. Household vulnerability to malaria was higher in remote and rural locations than in urban neighborhoods. Malaria prevention and vulnerability aversion programs need to be coupled with improvements in housing and well-being in the Okavango Delta and similar wetlands.
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Motsholapheko, M. R., and B. N. Ngwenya. "Access to Water Resources and Household Vulnerability to Malaria in the Okavango Delta, Botswana." In African Handbook of Climate Change Adaptation, 1–19. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42091-8_165-1.

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Agusto, Folashade, Amy Goldberg, Omayra Ortega, Joan Ponce, Sofya Zaytseva, Suzanne Sindi, and Sally Blower. "How Do Interventions Impact Malaria Dynamics Between Neighboring Countries? A Case Study with Botswana and Zimbabwe." In Association for Women in Mathematics Series, 83–109. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57129-0_5.

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Schneider, Marius, and Vanessa Ferguson. "Zambia." In Enforcement of Intellectual Property Rights in Africa. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198837336.003.0056.

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Zambia, an independent Republic and landlocked country in south-central Africa, is surrounded by Angola, Zaire, Tanzania, Malawi, Mozambique, Zimbabwe, Botswana, and Namibia. Zambia has a total area of 752,618 square kilometres (km) and an estimated population of 17.09 million (2017). The country’s capital and largest city is Lusaka with an estimated population of 1.8 million. Normal working hours in government and private sector offices are from 0800 to 1300 and 1400 to 1700 between Monday and Friday. The monetary unit is the kwacha (ZMW).
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Raditloaneng, Wapula N., Morgen Chawawa, and Rakel Kavena Shalyefu. "A Case Study on Training and Leadership." In Advances in Educational Marketing, Administration, and Leadership, 117–36. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8589-5.ch006.

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The challenge for African universities is to refocus their research and teaching missions to transform and revitalize the relationship between higher education and national development needs. Funded by British Academy African Partnerships (BAAP) programme, the University of Botswana, in partnership with The National University of Lesotho, University of Malawi and Calabar University in Nigeria, carried out 18 months of collaborative research project aimed at determining the implementation of Third Mission of Universities through rural community training and leadership. One of the two case studies, in D'Kar by Kellogg, in partnership with BA ISAGO University College yielded some very useful results. This included the necessity to build community leadership for sustainable development and the beginning of the poverty reduction process to take place.
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Fox, Eleanor M., and Mor Bakhoum. "Eastern and Southern Africa." In Making Markets Work for Africa, 41–88. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780190930998.003.0005.

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This chapter focuses on the competition policies of selected countries in Eastern and Southern Africa, specifically Kenya, Namibia, Botswana, Tanzania, Zambia, Zimbabwe, Malawi, and the island of Mauritius. The eastern and southern countries’ competition authorities span a range of functionality, from very high to almost inert. Even the highest functioning competition authorities face severe challenges in terms of financial and human capital, corruption, political pressure to favor government cronies and vested interests, and sometimes war and bankruptcy. Other challenges that competition authorities face concern the privileges of state-owned enterprises (SOEs), corruption through government procurement, and a plethora of not always transparent cross-border restraints. Even though their agendas are crowded by mandatory duties of vetting mergers and authorizing agreements, the best of agencies carve out precious time to identify the most harmful market obstructions and develop strategies to solve them.
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Bwalya, Kelvin Joseph, Tanya Du Plessis, and Chris Rensleigh. "Multi-Dimensional Factors Impacting on E-Government Adoption in Botswana, Mozambique, and Malawi." In Adoption of Virtual Technologies for Business, Educational, and Governmental Advancements, 58–71. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2053-7.ch005.

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With widespread adoption of ICT usage in public service delivery platforms (e-Government) throughout the world, African countries have vowed not to be left behind in this marathon. Robust e-Government adoption depends on the strategy employed to implement it. This paper presents the different initiatives that have been employed to promote e-Government development and development in Botswana, Mozambique and Malawi thereby showing the impact of such initiatives on overall e-Government agenda. Using extensive document and literature reviews, this paper further intends to investigate the status of e-Government implementation in these three countries and understand the multi-dimensional factors that dictate adoption and use of e-Government services. The paper has found that deliberate fiscal ICT policies, trust of e-applications, availability of ICT infrastructures such as appropriate mobile phone and base stations technology, usability of ICT platforms, and relevant ICT skills of ordinary citizens have a lasting positive impact on people’s intention to engage in e-Government.
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