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Journal articles on the topic 'Virus de poisson'

Author: Grafiati

Published: 21 September 2024

Last updated: 31 July 2025

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1

Widyaningsih, Yekti, and Rugun Ivana. "WEIBULL-POISSON DISTRIBUTION AND THEIR APPLICATION TO SYSTEMATIC PARALLEL RISK." BAREKENG: Jurnal Ilmu Matematika dan Terapan 18, no. 1 (2024): 0029–42. http://dx.doi.org/10.30598/barekengvol18iss1pp0053-0064.

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The Weibull-Poisson distribution represents a continuous distribution type applicable to various forms of hazard, including monotone up, monotone down, and upside-down bathtub shapes that ascend. The distribution characterizes lifetimes and can effectively model failures within a series of systems, which evolves from the Exponential-Poisson distribution. This distribution emerges through the compounding of the Weibull Distribution and Zero Truncated Poisson Distribution. The compounding itself integrates several mathematical properties, such as statistical order and Taylor’s number expansion,

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Nourinejhad Zarghani, Shaheen, Mehran Monavari, Amin Nourinejhad Zarghani, et al. "Quantifying Plant Viruses: Evolution from Bioassay to Infectivity Dilution Curves along the Model of Tobamoviruses." Viruses 16, no. 3 (2024): 440. http://dx.doi.org/10.3390/v16030440.

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This review describes the development of the bioassay as a means of quantifying plant viruses, with particular attention to tobamovirus. It delves into various models used to establish a correlation between virus particle concentration and the number of induced local lesions (the infectivity dilution curve), including the Poisson, Furumoto and Mickey, Kleczkowski, Growth curve, and modified Poisson models. The parameters of each model are described, and their application or performance in the context of the tobacco mosaic virus is explored. This overview highlights the enduring value of the in

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3

Maneking, Faranika Deysi G., Deiby Tineke Salaki, and Djoni Hatidja. "Model Regresi Poisson Tergeneralisasi untuk Anak Gizi Buruk di Sulawesi Utara." JURNAL ILMIAH SAINS 20, no. 2 (2020): 141. http://dx.doi.org/10.35799/jis.20.2.2020.29133.

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Salah satu masalah kesehatan yang sering terjadi di Indonesia adalah gizi buruk. Seorang anak yang mengalami gizi buruk akan rentan terhadap berbagai penyakit karena sistem kekebalan tubuhnya mudah terinfeksi virus. Jumlah kasus anak gizi buruk merupakan data diskrit yang dapat dimodelkan dengan regresi poisson. Penelitian ini bertujuan untuk menentukan model regresi poisson tergeneralisasi dalam mengatasi overdispersi pada model regresi poisson dari jumlah kasus gizi buruk dan menentukan faktor-faktor yang mempengaruhi jumlah kasus gizi buruk di Sulawesi Utara tahun 2018. Data yang digunaka

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Pakes, Anthony G., and A. C. Trajstman. "Some properties of continuous-state branching processes, with applications to Bartoszyński’s virus model." Advances in Applied Probability 17, no. 1 (1985): 23–41. http://dx.doi.org/10.2307/1427050.

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It is known that Bartoszyński’s model for the growth of rabies virus in an infected host is a continuous branching process. We show by explicit construction that any such process is a randomly time-transformed compound Poisson process having a negative linear drift.This connection is exploited to obtain limit theorems for the population size and for the jump times in the rabies model. Some of these results are obtained in a more general context wherein the compound Poisson process is replaced by a subordinator.

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Pakes, Anthony G., and A. C. Trajstman. "Some properties of continuous-state branching processes, with applications to Bartoszyński’s virus model." Advances in Applied Probability 17, no. 01 (1985): 23–41. http://dx.doi.org/10.1017/s0001867800014634.

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It is known that Bartoszyński’s model for the growth of rabies virus in an infected host is a continuous branching process. We show by explicit construction that any such process is a randomly time-transformed compound Poisson process having a negative linear drift. This connection is exploited to obtain limit theorems for the population size and for the jump times in the rabies model. Some of these results are obtained in a more general context wherein the compound Poisson process is replaced by a subordinator.

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6

Akbarzadeh Baghban, Alireza, Asma Pourhoseingholi, Farid Zayeri, Ali Akbar Jafari, and Seyed Moayed Alavian. "Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C." BioMed Research International 2013 (2013): 1–5. http://dx.doi.org/10.1155/2013/403151.

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Background and Objectives. In recent years, hepatitis C virus (HCV) infection represents a major public health problem. Evaluation of risk factors is one of the solutions which help protect people from the infection. This study aims to employ zero-inflated Poisson mixed models to evaluate prognostic factors of hepatitis C.Methods. The data was collected from a longitudinal study during 2005–2010. First, mixed Poisson regression (PR) model was fitted to the data. Then, a mixed zero-inflated Poisson model was fitted with compound Poisson random effects. For evaluating the performance of the prop

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7

Seghier, Fatma Zohra, Halim Zeghdoudi, and Abbes Benchaabane. "A Size-Biased Poisson-Gamma Lindley Distribution with Application." European Journal of Statistics 1, no. 1 (2021): 132–47. http://dx.doi.org/10.28924/ada/stat.1.132.

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In this paper, a size-biased Poisson-Gamma Lindley distribution (SBPGLD) has been obtained by size-biasing the Poisson-Gamma Lindley distribution (PGLD) introduced recently by Nedjar and Zeghdoudi (2020). Some of its statistical properties have been discussed. The method of maximum likelihood and the method of moments for the estimation of its parameters have been discussed. Also, an application on the real data of survival times of (56) Indian state of Kerala individus infected with Nipah virus is given.

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Seghier, Fatma Zohra, Halim Zeghdoudi, and Vinoth Raman. "A Novel Discrete Distribution: Properties and Application Using Nipah Virus Infection Data Set." European Journal of Statistics 3 (January 9, 2022): 3. http://dx.doi.org/10.28924/ada/stat.3.3.

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In this study, the Poisson (PD) distribution was compounded with a continuous distribution to produce the Poisson XLindley distribution (PXLD). Its raw moments and central moments are acquired as a result of a general expression for its rth factorial moment concerning origin being derived. Additionally, the expressions for its coefficient of variation, skewness, kurtosis and index of dispersion have been provided. For the estimate of its parameters, in particular, the methods of maximum likelihood and moments have been addressed. The applicability of the proposed distribution in modeling real

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Nourinejhad Zarghani, Shaheen, Mehran Monavari, Jens Ehlers, Joachim Hamacher, Carmen Büttner, and Martina Bandte. "Comparison of Models for Quantification of Tomato Brown Rugose Fruit Virus Based on a Bioassay Using a Local Lesion Host." Plants 11, no. 24 (2022): 3443. http://dx.doi.org/10.3390/plants11243443.

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Considering the availability of serological and molecular biological methods, the bioassay has been paled into insignificance, although it is the only experimental method that can be used to demonstrate the infectivity of a virus. We compared goodness-of-fit and predictability power of five models for the quantification of tomato brown rugose fruit virus (ToBRFV) based on local lesion assays: the Kleczkowski model, Furumoto and Mickey models I and II, the Gokhale and Bald model (growth curve model), and the modified Poisson model. For this purpose, mechanical inoculations onto Nicotiana tabacu

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Zuhrat, Lily, Dodi Devianto, and Izzati Rahmi HG. "Pemodelan Jumlah Kasus DBD Yang Meninggal Di Kota Padang Dengan Menggunakan Regresi Poisson." Jurnal Matematika UNAND 4, no. 4 (2019): 57. http://dx.doi.org/10.25077/jmu.4.4.57-64.2015.

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Demam Berdarah Dengue (DBD) adalah penyakit infeksi yang disebabkan oleh virus Dengue melalui gigitan nyamuk Aedes. Penelitian ini bertujuan untuk memperoleh model dengan metode regresi Poisson untuk jumlah kasus DBD yang meninggal di Kota Padang dan mengetahui faktor apa saja yang mempengaruhinya. Regresi Poisson ini digunakan untuk kejadian yang relatif jarang terjadi. Faktor yang diduga mempengaruhi DBD tersebut adalah faktor lingkungan, diantaranya persentase rumah sehat, persentase sarana air bersih yang memenuhi syarat, persentase rumah ber-Prilaku Hidup Bersih Sehat (ber-PHBS), persenta

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Purqon, Khairul, Rina Widyasari, and Ismail Husein. "PENERAPAN POISSON INVERSE GAUSSIAN REGRESSION UNTUK MEMODELKAN LAMA RAWAT INAP PASIEN DEMAM BERDARAH DENGUE (DBD) UPTDK. RSU. HAJI MEDAN PEMERINTAHAN PROVINSI SUMATERA UTARA." Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika 5, no. 1 (2024): 207–15. http://dx.doi.org/10.46306/lb.v5i1.559.

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Dengue fever is one of the dangerous diseases that can threaten human life if not treated seriously. Dengue hemorrhagic fever is one of the health problems that exist in the community where the number of sufferers tends to increase and the spread is very wide. Dengue hemorrhagic fever (DHF) is a disease caused by infection with the DEN-1, DEN-2, DEN-3 or DEN-4 viruses transmitted to the bite of Aedes aegypti and Aedes Albopictus mosquitoes before it was infected by the dengue virus by dengue sufferers. Aedes aegypti mosquitoes become more infective for 8-12 days after sucking blood from dengue

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NEWALL, A. T., C. VIBOUD, and J. G. WOOD. "Influenza-attributable mortality in Australians aged more than 50 years: a comparison of different modelling approaches." Epidemiology and Infection 138, no. 6 (2009): 836–42. http://dx.doi.org/10.1017/s095026880999118x.

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SUMMARYThis study aimed to compare systematically approaches to estimating influenza-attributable mortality in older Australians. Using monthly age-specific death data together with viral surveillance counts for influenza and respiratory syncytial virus, we explored two of the most frequently used methods of estimating excess influenza-attributable disease: Poisson and Serfling regression models. These approaches produced consistent age and temporal patterns in estimates of influenza-attributable mortality in older Australians but some variation in the magnitude of the disease burden. Of Austr

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Kondo Lembang, Ferry, Eysye Alchi Nara, Francis Yunito Rumlawang, and Mozart Winston Talakua. "PEMODELAN PENGARUH IKLIM TERHADAP ANGKA KEJADIAN DEMAM BERDARAH DI KOTA AMBON MENGGUNAKAN METODE REGRESI GENERALIZED POISSON." Indonesian Journal of Statistics and Its Applications 3, no. 3 (2019): 341–51. http://dx.doi.org/10.29244/ijsa.v3i3.474.

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Dengue Hemorrhagic Fever (DHF) is one of the dreaded diseases of the transition season. DHF is a disease found in tropical and subtropical regions that caused by Dengue virus which is transmitted through Aedes mosquitoes. According to the World Health Organization (WHO) data, it is stated that Indonesia is the country with the highest dengue fever case in Southeast Asia. The incidence of dengue fever in Indonesia tends to increase in the middle of the rainy season, and one of the regions in Indonesia with the high level of rainfall intensity is Ambon City. DHF cases in Ambon city increase from

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Audina, Yurid, Rina Filia Sari, and Rina Widyasari. "RELATIVE RISK ANALYSIS OF THE SPREAD OF COVID-19 VIRUS IN MEDAN CITY BY SPATIAL AND NON-SPATIAL APPROACHES." ZERO: Jurnal Sains, Matematika dan Terapan 6, no. 2 (2023): 45. http://dx.doi.org/10.30829/zero.v6i2.14557.

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<span lang="EN">The city of Medan is the city with the highest cases of COVID-19 virus among cities in North Sumatra. This study was conducted to analyze the relative risk level for the spread of the COVID-19 virus. Estimation of relative risk is a statistic in disease mapping that is used to determine the distribution of disease. Relative risk estimation can be estimated using a direct estimator model or Standardized Morbility ratio and a small area estimation model using Bayesian Conditional Autoregressive (CAR) with the Poisson-Gamma model. The Poisson-Gamma model is one of the models

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Kim, Taeho, Benjamin Lieberman, George Luta, and Edsel A. Peña. "Prediction Regions for Poisson and Over-Dispersed Poisson Regression Models with Applications in Forecasting the Number of Deaths during the COVID-19 Pandemic." Open Statistics 2, no. 1 (2021): 81–112. http://dx.doi.org/10.1515/stat-2020-0106.

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Abstract Motivated by the Coronavirus Disease (COVID-19) pandemic, which is due to the SARS-CoV-2 virus, and the important problem of forecasting the number of daily deaths and the number of cumulative deaths, this paper examines the construction of prediction regions or intervals under the no-covariate or intercept-only Poisson model, the Poisson regression model, and a new over-dispersed Poisson regression model. These models are useful for settings with events of interest that are rare. For the no-covariate Poisson and the Poisson regression model, several prediction regions are developed a

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Spackman, Erica, Sasidhar Malladi, Amos Ssematimba, and Christopher B. Stephens. "Assessment of replicate numbers for titrating avian influenza virus using dose-response models." Journal of Veterinary Diagnostic Investigation 31, no. 4 (2019): 616–19. http://dx.doi.org/10.1177/1040638719853851.

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Embryonating chicken eggs (ECEs) are among the most sensitive laboratory host systems for avian influenza virus (AIV) titration, but ECEs are expensive and require space for storage and incubation. Therefore, reducing ECE use would conserve resources. We utilized statistical modeling to evaluate the accuracy and precision of AIV titration with 3 instead of 5 ECEs for each dilution by the Reed–Muench method for 50% endpoint calculation. Beta-Poisson and exponential dose-response models were used in a simulation study to evaluate observations from actual titration data from 18 AIV isolates. The

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Sinaga, Juhenni Putri, and Ujian Sinulingga. "Poisson Regression Modeling Case Study Dengue Fever in Medan City in 2019." Journal of Mathematics Technology and Education 1, no. 1 (2021): 94–102. http://dx.doi.org/10.32734/jomte.v1i1.7500.

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Dengue Hemorrhagic Fever (DHF) is an infectious disease caused by the dengue virus carried by the Aedes aegypti or Aedes albopictus mosquito which is spread in Southeast Asia. Medan City is one of the endemic areas for dengue fever in North Sumatra Province. This study aims to model the variable cases of dengue fever and determine the factors that have a significant effect on cases of dengue fever in the city of Medan. The method used in modeling the DHF case variable is the Poisson regression method with the response variable (Y) namely the number of DHF cases in Medan City, while the predict

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Chao, Lin, Camilla U. Rang та Linda E. Wong. "Distribution of Spontaneous Mutants and Inferences about the Replication Mode of the RNA Bacteriophage φ6". Journal of Virology 76, № 7 (2002): 3276–81. http://dx.doi.org/10.1128/jvi.76.7.3276-3281.2002.

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ABSTRACT When a parent virus replicates inside its host, it must first use its own genome as the template for replication. However, once progeny genomes are produced, the progeny can in turn act as templates. Depending on whether the progeny genomes become templates, the distribution of mutants produced by an infection varies greatly. While information on the distribution is important for many population genetic models, it is also useful for inferring the replication mode of a virus. We have analyzed the distribution of mutants emerging from single bursts in the RNA bacteriophage φ6 and find t

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Sofro, A'yunin, Framitha Septian Subiantoro, and Khusnia Nurul Khikmah. "POSITIVE CONFIRMED PREDICTION OF COVID-19 IN EAST JAVA USING COUNT TIME SERIES BASED DOUBLE POISSON INAR(p) PROCESS." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 2 (2025): 879–88. https://doi.org/10.30598/barekengvol19iss2pp879-888.

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In December 2019, there was a virus outbreak caused by a virus disease with a relatively high spread in Indonesia, one of which was in East Java Province. It is proven by the number of new cases on January 15, 2021, in East Java, reaching 12818 cases. This is why researchers predict the number of positive cases of COVID-19 in East Java so that the Government can anticipate an increase in the number of COVID-19 patients. This study uses data on the addition of positive COVID-19 cases in East Java from May 16, 2020, to January 24, 2021. Because the count time series data shows overdispersion, pr

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Owusu, Gabriel, Han Yu, and Hong Huang. "Temporal dynamics for areal unit-based co-occurrence COVID-19 trajectories." AIMS Public Health 9, no. 4 (2022): 703–17. http://dx.doi.org/10.3934/publichealth.2022049.

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<abstract> <p>The dynamic mechanism of the COVID-19 pandemic has been studied for disease prevention and health protection through areal unit-based log-linear Poisson processes to understand the outbreak of the virus with confirmed daily empirical cases. The predictor of the evolution is structured as a function of a short-term dependence and a long-term trend to identify the pattern of exponential growth in the main epicenters of the virus. The study provides insight into the possible pandemic path of each areal unit and a guide to drive policymaking on preventive measures that ca

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Fairuz, Ersya Nurul, Rina Widyasari, and Rima Aprilia. "Stochastic Modeling with Poisson Hidden Markov in Hepatitis B Cases." Jurnal Pijar Mipa 19, no. 6 (2024): 1111–17. https://doi.org/10.29303/jpm.v19i6.7510.

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Hepatitis B is transmitted through blood or body fluids contaminated with the virus from Hepatitis B sufferers (carriers). The factors that cause a person to contract Hepatitis B are sexual intercourse, blood contact, placental contact from the mother to the baby, and saliva. The incubation period for Hepatitis B Virus (HBV) ranges from 30 - 180 days with an average of 60 - 90 days. HBV can be detected 30 - 60 days after infection and persists for a certain period. Thus, the behaviour of infectious diseases can be observed and described using mathematical modelling. Mathematical modelling is a

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BOLLAERTS, K., J. ANTOINE, V. VAN CASTEREN, G. DUCOFFRE, N. HENS, and S. QUOILIN. "Contribution of respiratory pathogens to influenza-like illness consultations." Epidemiology and Infection 141, no. 10 (2012): 2196–204. http://dx.doi.org/10.1017/s0950268812002506.

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SUMMARYInfluenza-like illnesses (ILIs) are caused by several respiratory pathogens. These pathogens show weak to strong seasonal activity implying seasonality in ILI consultations. In this paper, the contribution of pathogens to seasonality of ILI consultations was statistically modelled. Virological count data were first smoothed using modulation models for seasonal time series. Second, Poisson regression was used regressing ILI consultation counts on the smoothed time series. Using ratios of the estimated regression parameters, relative measures of the underreporting of pathogens were obtain

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Rosales, Juan Carlos, and Betina Abad. "Modelling by Generation of Poisson Distributed Numbers of First Historical Zika Outbreak in Salta, Argentina." Asian Journal of Probability and Statistics 26, no. 4 (2024): 22–34. http://dx.doi.org/10.9734/ajpas/2024/v26i4606.

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Aims/ Objectives:: In this work we describe the first historical Zika virus outbreak recorded in Salta, Argentina, in the year 2017, through Monte Carlo-type simulations using the Poisson model. Later we made comparisons with previous results.Study Design: Retrospective-descriptive studies and stochastic computational experiment analysis Place and Duration of Study: Department of Mathematic, Faculty of Exact Sciences. National University of Salta, Argentina, from March 2021 to December 2023.Methodology: Descriptive and computational experiment analysis. Parameter estimation by Maximum Likeliho

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Martinez, Matias, Horacio Vargas-Guzman, and Christopher D. Cooper. "Implicit Solvent Calculations at Large-Scale Virus-Level Poisson-Boltzmann and Multiscale Simulations for Electrostatics." Biophysical Journal 116, no. 3 (2019): 291a. http://dx.doi.org/10.1016/j.bpj.2018.11.1574.

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RAJATONIRINA, S., B. RAKOTOSOLOFO, F. RAKOTOMANANA, et al. "Excess mortality associated with the 2009 A(H1N1)v influenza pandemic in Antananarivo, Madagascar." Epidemiology and Infection 141, no. 4 (2012): 745–50. http://dx.doi.org/10.1017/s0950268812001215.

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SUMMARYIt is difficult to assess the mortality burden of influenza epidemics in tropical countries. Until recently, the burden of influenza was believed to be negligible in Africa. We assessed the impact of the 2009 influenza epidemic on mortality in Madagascar by conducting Poisson regression analysis on mortality data from the deaths registry, after the first wave of the 2009 A(H1N1) virus pandemic. There were 20% more human deaths than expected in Antananarivo, Madagascar in November 2009, with excess mortality in the ⩾50 years age group (relative risk 1·41). Furthermore, the number of deat

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ADEGBOYE, O. A., and D. KOTZE. "Epidemiological analysis of spatially misaligned data: a case of highly pathogenic avian influenza virus outbreak in Nigeria." Epidemiology and Infection 142, no. 5 (2013): 940–49. http://dx.doi.org/10.1017/s0950268813002136.

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SUMMARYThis research is focused on the epidemiological analysis of the transmission of the highly pathogenic avian influenza (HPAI) H5N1 virus outbreak in Nigeria. The data included 145 outbreaks together with the locations of the infected farms and the date of confirmation of infection. In order to investigate the environmental conditions that favoured the transmission and spread of the virus, weather stations were realigned with the locations of the infected farms. The spatial Kolmogorov–Smirnov test for complete spatial randomness rejects the null hypothesis of constant intensity (P < 0·

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Jiménez, Martha, Humberto Ríos, Pilar Gómez, et al. "Analysis of application of covid-19 vaccine in Mexico city by age and gender groups in the second wave of the pandemic." International Journal of Vaccines & Vaccination 7, no. 1 (2022): 3–7. http://dx.doi.org/10.15406/ijvv.2022.07.00112.

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Considering the importance of giving continuity to economic activities that have been partially suspended by the global SARS-CoV-2 virus pandemic, the impact of virus contagions with the application of the vaccine was analyzed in Mexico City, in men and women by age groups in the second wave of the virus, from 28-June-2021 to 01-September-2021. Two Poisson regression panel models were performed by random effects by gender and age groups and the variables: infections, dose, applied vaccine, and diseases. A decrease in contagions was found with the AstraZeneca, CoronaVac, Pfizer, and Sputnik vac

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TÜZÜN, Burak, Koray SAYİN, and Hilmi ATASEVEN. "Could Momordica Charantia Be Effective In The Treatment of COVID19?" Cumhuriyet Science Journal 43, no. 2 (2022): 211–20. http://dx.doi.org/10.17776/csj.1009906.

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One of the deadliest diseases is the SARS-CoV-2 virus, today. The rate of spread of this virus is very high. Momordica Charantia extracts studied for this virus. The inhibitory activities of 96 components in the extract of Momordica Charantia were compared against the SARS-CoV-2 virus. Molecular docking method was initially used for this comparison. ADME/T analysis of the inhibitors with the highest inhibitory activity was performed using the results obtained from these calculations. The molecular docking calculations of the molecule with the highest inhibitory activity were tried to be suppor

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Fedotov, Sergei, Dmitri Alexandrov, Ilya Starodumov, and Nickolay Korabel. "Stochastic Model of Virus–Endosome Fusion and Endosomal Escape of pH-Responsive Nanoparticles." Mathematics 10, no. 3 (2022): 375. http://dx.doi.org/10.3390/math10030375.

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In this paper, we set up a stochastic model for the dynamics of active Rab5 and Rab7 proteins on the surface of endosomes and the acidification process that govern the virus–endosome fusion and endosomal escape of pH-responsive nanoparticles. We employ a well-known cut-off switch model for Rab5 to Rab7 conversion dynamics and consider two random terms: white Gaussian and Poisson noises with zero mean. We derive the governing equations for the joint probability density function for the endosomal pH, Rab5 and Rab7 proteins. We obtain numerically the marginal density describing random fluctuation

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Garcia, Danielle R., Felipe R. Souza, Ana P. Guimarães, et al. "In Silico Studies of Potential Selective Inhibitors of Thymidylate Kinase from Variola virus." Pharmaceuticals 14, no. 10 (2021): 1027. http://dx.doi.org/10.3390/ph14101027.

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Continuing the work developed by our research group, in the present manuscript, we performed a theoretical study of 10 new structures derived from the antivirals cidofovir and ribavirin, as inhibitor prototypes for the enzyme thymidylate kinase from Variola virus (VarTMPK). The proposed structures were subjected to docking calculations, molecular dynamics simulations, and free energy calculations, using the molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) method, inside the active sites of VarTMPK and human TMPK (HssTMPK). The docking and molecular dynamic studies pointed to struct

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Olarte Garciá, Julián Alejandro, and Anibal Muñoz Loaiza. "Analysis of Strategies for Preventing and Controlling the Chikungunya Virus." Revista Facultad de Ciencias Básicas 16, no. 1 (2021): 57–68. http://dx.doi.org/10.18359/rfcb.4341.

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    Alternatives to stop chikungunya outbreaks are oriented to vector control and developing a specific treatment and a preventive vaccine. Environmental control and mosquito bite prevention are undoubtedly essential to decrease the disease burden, but Aedes vectors continue to expand geographically and re-emerge. So, vaccination is proposed to respond to this etiology and recognized as a pressing need for affected countries. A mathematical host-vector model, including asymptomatic population, vector control, and vaccination (assuming the existence of a safe protective

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Zhang, Qiuxian, та Hecheng Wang. "Scrutiny of the mechanism of β-amyloid protein captures HSV-2 to protect the brain infection". E3S Web of Conferences 261 (2021): 02069. http://dx.doi.org/10.1051/e3sconf/202126102069.

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Alzheimer’s disease (AD) is an age-related neurodegenerative disorder. β-amyloid protein (Aβ) is the key protein which involved in AD. But the physiological function of Aβ is needed to be investigated. Many experimental studies have shown that Aβ could bind to glycoproteins D (gD) on the surface of the herpes virus. However the mechanism is still unclear. In the present study, we elucidate the molecular mechanism of the interaction between Aβ and gD of herpes simplex virus type 2 (HSV-2) by molecular docking and molecular dynamics simulation. Molecular dynamics simulations displayed that Aβ co

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Jung, Sun Jae, Sung-Shil Lim, and Jin-Ha Yoon. "Fluctuations in influenza-like illness epidemics and suicide mortality: A time-series regression of 13-year mortality data in South Korea." PLOS ONE 16, no. 2 (2021): e0244596. http://dx.doi.org/10.1371/journal.pone.0244596.

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Aims We explored the association between influenza epidemic and suicide mortality rates in a large population using a time-series regression of 13-year mortality data in South Korea. Methods Weekly suicide mortalities and influenza-like illness (ILI) were analyzed using time series regression. Regression coefficient for suicide mortality based on percentage change of ILI was calculated using a quasi-Poisson regression. Non-linear distributed lag models with quadratic function up to 24 weeks were constructed. Results The association between ILI and suicide mortality increased significantly up t

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Aida, Liza Nur, and Ria Dhea Layla Nur Karisma. "Measles Disease Model using Censored Hurdle Negative Binomial Regression in East Java." Proceedings of the International Conference on Green Technology 11, no. 1 (2021): 20. http://dx.doi.org/10.18860/icgt.v11i1.1396.

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Abstract- Measles is an infectious disease caused by measles virus and contagious. In recent years, especially in Indonesia, the number of measles rates have decreased at 2021 then some observations were worth zero. Hurdle Negative Binomial Regression is a method that used to overcome excess zero and over dispersion. Furthermore, count data is a data with non-negative integers that showed the number of event then it unable to use Poisson Regression. The aim of the study is to obtain measles model using HNBR in Eat Java. Based on the result of study, the factors that influence are vitamin A dis

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FRENCH, N. P., L. KELLY, R. JONES, and D. CLANCY. "Dose-response relationships for foot and mouth disease in cattle and sheep." Epidemiology and Infection 128, no. 2 (2002): 325–32. http://dx.doi.org/10.1017/s0950268801006446.

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The relationships between the inhaled dose of foot and mouth disease virus and the outcomes of infection and disease were examined by fitting dose-response models to experimental data. The parameters for both the exponential and beta-poisson models were estimated using maximum likelihood and Bayesian methods. The median probability of infection given a single inhaled TCID50 was estimated to be 0·031 with 95% Bayesian credibility intervals (CI) of 0·018–0·052 for cattle, and 0·045 (CI = 0·024–0·080) for sheep. These estimates were used to construct dose-response curves and uncertainty distribut

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Weni Utomo, Candra R. W. S., Achmad Efendi, and Ni Wayan Surya Wardhani. "ZERO INFLATED POISSON REGRESSION MODELS TO ANALYZE FACTORS THAT INFLUENCE THE NUMBER OF MEASLES CASE IN JAVA." BAREKENG: Jurnal Ilmu Matematika dan Terapan 19, no. 2 (2025): 721–32. https://doi.org/10.30598/barekengvol19iss2pp721-732.

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Measles is an infectious disease that often occurs in children and is caused by the measles virus (morbillivirus) which can cause death. Thus, it is important to identify the factors that cause measles. The number of measles cases is used as response variable in the form discrete data so that Poisson Regression is commonly used. However, some assumptions are sometimes not met, such as overdispersion and excess zero so that can use Zero Inflated Poisson Regression to meet these assumptions. Because the model can overcome two common characteristics that are often found in count data, which are e

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Sither, Charles B., John M. Sither, and Brian D. Byrd. "A Comparison of Oak Leaf and Fescue Hay Infusion-Baited Gravid Trap Collections—An Analysis Steeped in the Context of La Crosse Virus Vector Surveillance Effectiveness." Journal of the American Mosquito Control Association 39, no. 2 (2023): 138–41. http://dx.doi.org/10.2987/23-2116.

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ABSTRACT Neuroinvasive La Crosse virus disease remains the primary cause of pediatric arboviral encephalitis in the USA. In spite of the persistent public health burden, there are limited entomologic surveillance options that target both native and invasive La Crosse virus (LACV) vectors. In this study we used Reiter/Cummings tacklebox gravid traps to compare white oak (Quercus alba) and hay (predominately Festuca arundinacea) infusions within a LACV-endemic area of western North Carolina. Paired gravid traps (approximately 1,728 total trap-hours for each infusion) yielded 485 mosquitoes, with

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Votapka, Lane W., Luke Czapla, Maxim Zhenirovskyy, and Rommie E. Amaro. "DelEnsembleElec: Computing Ensemble-Averaged Electrostatics Using DelPhi." Communications in Computational Physics 13, no. 1 (2013): 256–68. http://dx.doi.org/10.4208/cicp.170711.111111s.

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AbstractA new VMD plugin that interfaces with DelPhi to provide ensemble-averaged electrostatic calculations using the Poisson-Boltzmann equation is presented. The general theory and context of this approach are discussed, and examples of the plugin interface and calculations are presented. This new tool is applied to systems of current biological interest, obtaining the ensemble-averaged electrostatic properties of the two major influenza virus glycoproteins, hemagglutinin and neuraminidase, from explicitly solvated all-atom molecular dynamics trajectories. The differences between the ensembl

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Tereshko, Lauren, Xiaohui Zhao, Jake Gagnon, et al. "A novel method for quantitation of AAV genome integrity using duplex digital PCR." PLOS ONE 18, no. 12 (2023): e0293277. http://dx.doi.org/10.1371/journal.pone.0293277.

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Recombinant adeno-associated virus (rAAV) vectors have become a reliable strategy for delivering gene therapies. As rAAV capsid content is known to be heterogeneous, methods for rAAV characterization are critical for assessing the efficacy and safety of drug products. Multiplex digital PCR (dPCR) has emerged as a popular molecular approach for characterizing capsid content due to its high level of throughput, accuracy, and replicability. Despite growing popularity, tools to accurately analyze multiplexed data are scarce. Here, we introduce a novel statistical model to estimate genome integrity

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Abban, Stanley. "The effect of the Ebola Virus Disease on intra-regional trade in West Africa." International Journal of Management Research and Economics 1, no. 2 (2021): 18–32. https://doi.org/10.51483/IJMRE.1.2.2021.18-32.

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The West African sub-region experienced the World’s largest Ebola outbreak after its maiden outbreak in Central Africa. In this background, economic activities were heavily affected hence intra-regional trade shares of affected countries. Given this, the study seeks to investigate the effect of the Ebola Virus Disease (EVD) on affected countries’ shares to intra-regional trade. Additionally, the study seeks to investigate the impact of Economic Community of West African States (ECOWAS) membership on trade in West Africa. The Poisson Pseudo Maximum Likelihood (PPML) was used to esti

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Ikeno, Ryo, Eiko Yamada, Sayaka Yamazaki, et al. "Factors contributing to salivary human immunodeficiency virus type-1 levels measured by a Poisson distribution-based PCR method." Journal of International Medical Research 46, no. 3 (2017): 996–1007. http://dx.doi.org/10.1177/0300060517728652.

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Objective To elucidate the mechanism underlying secretion of human immunodeficiency virus type 1 (HIV-1) into the oral cavity, by examining the relationships between various oral and systemic factors and the viral load in saliva. Methods Plasma and saliva samples from HIV-1 infected patients were assayed using the COBAS® AmpliPrep/COBAS® TaqMan® HIV-1 Test, version 1.0 and a Poisson distribution-based polymerase chain reaction (PCR) method for quantifying HIV-1 RNA and DNA. Results Forty-four pairs of samples were obtained from 18 patients. Salivary viral load was approximately 10% of the plas

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Bald, J. G., R. Iltis, S. M. Schneider, D. V. Gokhale, and P. R. Desjardins. "Association of logistic and Poisson models of infection with some physical characteristics of a single component plant virus." Journal of Virological Methods 27, no. 1 (1990): 11–28. http://dx.doi.org/10.1016/0166-0934(90)90142-3.

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Menezes, Gabriela de Lima, Marielena Vogel Saivish, Lívia Sacchetto, et al. "Exploring Quercetin Hydrate’s Potential as an Antiviral Treatment for Oropouche Virus." Biophysica 3, no. 3 (2023): 485–500. http://dx.doi.org/10.3390/biophysica3030032.

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The Oropouche virus is an orthobunyavirus responsible for causing Oropouche fever, a disease that primarily affects thousands of people in South and Central America. Currently, no specific antiviral treatments or vaccines are available against this virus, highlighting the urgent need for safe, affordable, and effective therapies. Natural products serve as an important source of bioactive compounds, and there is growing interest in identifying natural bioactive molecules that could be used for treating viral diseases. Quercetin hydrate is a compound classified as a flavonoid, which has garnered

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Wendelboe, Aaron M., Ozair H. Naqvi, Mary Williams, et al. "Opioid and other drug use and drug-related mortality as indicators of Hepatitis C and Human Immunodeficiency Virus in Oklahoma." PLOS ONE 19, no. 5 (2024): e0301442. http://dx.doi.org/10.1371/journal.pone.0301442.

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Objectives Outbreaks of injection drug use (IDU)-associated infections have become major public health concerns in the era of the opioid epidemic. This study aimed to (1) identify county-level characteristics associated with acute HCV infection and newly diagnosed IDU-associated HIV in Oklahoma and (2) develop a vulnerability index using these metrics. Methods This study employs a county-level ecological design to examine those diagnosed with acute or chronic HCV or newly diagnosed IDU-associated HIV. Poisson regression was used to estimate the association between indicators and the number of

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Fater-Mtomga, Fater-Mtomga Iveren Blessing, David Adugh Kuhe, and Innocent Otache Ogwuche. "Modelling the prevalence of some zoonotic diseases among farmers in Benue state using Poisson Autoregessive model." Journal of Statistical Modelling and Analytics 7, no. 1 (2025): 10–22. https://doi.org/10.22452/josma.vol7no1.2.

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The aim of this work is to model the infection rates of some infectious diseases among farmers in Benue state using Poisson autoregressive model. The study utilizes monthly secondary data on serologically confirmed infection cases of Human Immunodeficiency Virus (HIV), tuberculosis (TB), and viral hepatitis (VHP)—the data span from January 2010 to December 2022. The study employs summary statistics and the Anderson-Darling normality test, time plots, bar graphs, and the Poisson autoregressive model as the principal methods of investigation. Results show that HIV, TB, and VHP have positive and

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Satpathy, R., and S. Acharya. "Exploring the Mangrove Based Phytochemicals as Potential Viral RNA Helicase Inhibitors by in silico Docking and Molecular Dynamics Simulation Methods." Mathematical Biology and Bioinformatics 18, no. 2 (2023): 405–17. http://dx.doi.org/10.17537/2023.18.405.

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A variety of plant-derived molecular compounds from mangrove plants have attracted attention due to the discovery of their antiviral activity. It has been proven that herbal medicines based on them provide good protection against a number of pathogenic viruses. However, it is necessary to screen these effective antiviral compounds to select those that have fewer harmful side effects. This study aimed to screen several bioactive compounds from mangrove plants that could be used as a viral RNA helicase inhibitor. Fifty-nine compounds were selected from the literature and databases for initial st

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Paraboni, Marisa Lúcia Romani, Marina Dallagasperina Sbeghen, Fernando Herz Wolff, and Leila Beltrami Moreira. "Risk Factors for Infection with Different Hepatitis C Virus Genotypes in Southern Brazil." Scientific World Journal 2012 (2012): 1–6. http://dx.doi.org/10.1100/2012/946954.

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Objectives. To investigate the proportion of different genotypes in countryside microregions in southern Brazil, and their association with risk factors.Methods. Cross-sectional study including a convenience sample of patients who tested positive for HCV-RNA and were referred to a regional health center for genotyping, from December 2003 to January 2008. Data were obtained through the National Disease Surveillance Data System, from laboratory registers and from patient charts. Identification of genotypes was carried out using the Restriction Fragment Length Polymorphism “in house” technique. I

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BAGAGA, Mamoudou, Hamidou BARRY, and Mohamed Tidjane KINDA. "Résilience des entreprises guinéennes face à la Covid-19." Revue d’Economie Théorique et Appliquée 12, no. 1 (2022): 107–26. https://doi.org/10.62519/reta.v12n1a7.

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Résumé : Ce papier identifie et analyse les déterminants de la résilience des entreprises guinéennes face à la maladie à Corona Virus (COVID-19) en appliquant les modèles Probit/Logit, Poisson et Binomial négatif sur une version actualisée des données de l’enquête sur les entreprises, menée par la Banque mondiale entre le 16 et 27 juin 2020. Les résultats montrent que le fait pour une entreprise d’appartenir à un grand groupe permet de réduire le nombre de jours de fermeture et d’accroitre la résilience financière. Cependant, les entreprises évoluant dans le commerce de détails, la restauratio

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Chhetri, Bimal K., Olaf Berke, David L. Pearl, and Dorothee Bienzle. "Disparities in Spatial Prevalence of Feline Retroviruses due to Data Aggregation: A Case of the Modifiable Areal Unit Problem." Journal of Veterinary Medicine 2014 (February 20, 2014): 1–11. http://dx.doi.org/10.1155/2014/424138.

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The knowledge of the spatial distribution feline immunodeficiency virus and feline leukemia virus infections, which are untreatable, can inform on their risk factors and high-risk areas to enhance control. However, when spatial analysis involves aggregated spatial data, results may be influenced by the spatial scale of aggregation, an effect known as the modifiable areal unit problem (MAUP). In this study, area level risk factors for both infections in 28,914 cats tested with ELISA were investigated by multivariable spatial Poisson regression models along with MAUP effect on spatial clustering

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Hayat, Muhammad, Tian Gao, Ying Cao, Muhammad Rafiq, Li Zhuo, and Yue-Zhong Li. "Identification of Prospective Ebola Virus VP35 and VP40 Protein Inhibitors from Myxobacterial Natural Products." Biomolecules 14, no. 6 (2024): 660. http://dx.doi.org/10.3390/biom14060660.

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The Ebola virus (EBOV) is a lethal pathogen causing hemorrhagic fever syndrome which remains a global health challenge. In the EBOV, two multifunctional proteins, VP35 and VP40, have significant roles in replication, virion assembly, and budding from the cell and have been identified as druggable targets. In this study, we employed in silico methods comprising molecular docking, molecular dynamic simulations, and pharmacological properties to identify prospective drugs for inhibiting VP35 and VP40 proteins from the myxobacterial bioactive natural product repertoire. Cystobactamid 934-2, Cystob

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