Md Nurul Anwar , James M. McCaw , Alexander E. Zarebski , Roslyn I. Hickson , Jennifer A. Flegg
{"title":"通过大规模给药消除间日疟原虫的研究:模拟研究","authors":"Md Nurul Anwar , James M. McCaw , Alexander E. Zarebski , Roslyn I. Hickson , Jennifer A. Flegg","doi":"10.1016/j.epidem.2024.100789","DOIUrl":null,"url":null,"abstract":"<div><p><em>Plasmodium vivax</em> is the most geographically widespread malaria parasite. <em>P. vivax</em> has the ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate, which makes control efforts more difficult. Given the majority of <em>P. vivax</em> infections are due to hypnozoite reactivation, targeting the hypnozoite reservoir with a radical cure is crucial for achieving <em>P. vivax</em> elimination. Stochastic effects can strongly influence dynamics when disease prevalence is low or when the population size is small. Hence, it is important to account for this when modelling malaria elimination. We use a stochastic multiscale model of <em>P. vivax</em> transmission to study the impacts of multiple rounds of mass drug administration (MDA) with a radical cure, accounting for superinfection and hypnozoite dynamics. Our results indicate multiple rounds of MDA with a high-efficacy drug are needed to achieve a substantial probability of elimination. This work has the potential to help guide <em>P. vivax</em> elimination strategies by quantifying elimination probabilities for an MDA approach.</p></div>","PeriodicalId":49206,"journal":{"name":"Epidemics","volume":"48 ","pages":"Article 100789"},"PeriodicalIF":3.0000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1755436524000501/pdfft?md5=3ad29b116b99a1e7d4311f757c00de28&pid=1-s2.0-S1755436524000501-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Investigation of P. vivax elimination via mass drug administration: A simulation study\",\"authors\":\"Md Nurul Anwar , James M. McCaw , Alexander E. Zarebski , Roslyn I. Hickson , Jennifer A. Flegg\",\"doi\":\"10.1016/j.epidem.2024.100789\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><em>Plasmodium vivax</em> is the most geographically widespread malaria parasite. <em>P. vivax</em> has the ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate, which makes control efforts more difficult. Given the majority of <em>P. vivax</em> infections are due to hypnozoite reactivation, targeting the hypnozoite reservoir with a radical cure is crucial for achieving <em>P. vivax</em> elimination. Stochastic effects can strongly influence dynamics when disease prevalence is low or when the population size is small. Hence, it is important to account for this when modelling malaria elimination. We use a stochastic multiscale model of <em>P. vivax</em> transmission to study the impacts of multiple rounds of mass drug administration (MDA) with a radical cure, accounting for superinfection and hypnozoite dynamics. Our results indicate multiple rounds of MDA with a high-efficacy drug are needed to achieve a substantial probability of elimination. This work has the potential to help guide <em>P. vivax</em> elimination strategies by quantifying elimination probabilities for an MDA approach.</p></div>\",\"PeriodicalId\":49206,\"journal\":{\"name\":\"Epidemics\",\"volume\":\"48 \",\"pages\":\"Article 100789\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S1755436524000501/pdfft?md5=3ad29b116b99a1e7d4311f757c00de28&pid=1-s2.0-S1755436524000501-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Epidemics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1755436524000501\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"INFECTIOUS DISEASES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Epidemics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1755436524000501","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFECTIOUS DISEASES","Score":null,"Total":0}
Investigation of P. vivax elimination via mass drug administration: A simulation study
Plasmodium vivax is the most geographically widespread malaria parasite. P. vivax has the ability to remain dormant (as a hypnozoite) in the human liver and subsequently reactivate, which makes control efforts more difficult. Given the majority of P. vivax infections are due to hypnozoite reactivation, targeting the hypnozoite reservoir with a radical cure is crucial for achieving P. vivax elimination. Stochastic effects can strongly influence dynamics when disease prevalence is low or when the population size is small. Hence, it is important to account for this when modelling malaria elimination. We use a stochastic multiscale model of P. vivax transmission to study the impacts of multiple rounds of mass drug administration (MDA) with a radical cure, accounting for superinfection and hypnozoite dynamics. Our results indicate multiple rounds of MDA with a high-efficacy drug are needed to achieve a substantial probability of elimination. This work has the potential to help guide P. vivax elimination strategies by quantifying elimination probabilities for an MDA approach.
期刊介绍:
Epidemics publishes papers on infectious disease dynamics in the broadest sense. Its scope covers both within-host dynamics of infectious agents and dynamics at the population level, particularly the interaction between the two. Areas of emphasis include: spread, transmission, persistence, implications and population dynamics of infectious diseases; population and public health as well as policy aspects of control and prevention; dynamics at the individual level; interaction with the environment, ecology and evolution of infectious diseases, as well as population genetics of infectious agents.