Stephen Edache, Andrea L Dixon, Ana R S Oliveira, Lee W Cohnstaedt, Dana Mitzel, Chad E Mire, Natalia Cernicchiaro
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Bibliographic databases, PubMed, Scopus, Web of Science, and the Armed Forces Pest Management Board website were searched for relevant literature. Records were screened for relevance for vector competence, specifically: infection rate, dissemination rate, and transmission rate. To estimate the overall and subgroup effect sizes for each mosquito species, random-effects meta-analysis models were utilized. Meta-regression models were fit to evaluate the association between a priori variables-such as mosquito subfamily/tribe, routes of JEV administration for mosquito infection, incubation length, incubation temperatures, and diagnostic methods for JEV detection-and the outcomes of interest.</p><p><strong>Results: </strong>This study update includes 74 new reports, identifying 9-12 additional mosquito species as competent for JEV, depending on the specific outcome assessed. The overall JEV infection, dissemination, and transmission rates across all species and studies were 45.4% (95% confidence interval (CI) 35.9-55.2%), 41.2% (95% CI 29.7-53.7%), and 22.7% (95% CI 14.6-33.4%), respectively. Among the subfamilies/tribes, Culicini had the highest infection (51.9%; 95% CI 39.2-64.4%) and transmission (27.8%; 95% CI 16.5-43.1%) rates. Meta-regressions showed mosquito subfamily/tribe was consistently associated with all the outcomes of interest, although the heterogeneity (I<sup>2</sup>) between studies remained consistently high (I<sup>2</sup> > 83.47).</p><p><strong>Conclusions: </strong>The information presented in this study provides a quantitative summary update on vector competence for JEV. Vector competence data are necessary for risk assessment models, the development of mosquito and virus surveillance programs, and effective prevention and control strategies in regions currently affected by JEV and those at risk of incursion.</p>","PeriodicalId":19793,"journal":{"name":"Parasites & Vectors","volume":"18 1","pages":"191"},"PeriodicalIF":3.0000,"publicationDate":"2025-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12107883/pdf/","citationCount":"0","resultStr":"{\"title\":\"Mosquito vector competence for Japanese encephalitis virus: a systematic review and meta-analysis update.\",\"authors\":\"Stephen Edache, Andrea L Dixon, Ana R S Oliveira, Lee W Cohnstaedt, Dana Mitzel, Chad E Mire, Natalia Cernicchiaro\",\"doi\":\"10.1186/s13071-025-06843-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Japanese encephalitis is an emerging zoonotic disease caused by the Japanese encephalitis virus (JEV), transmitted primarily by mosquitoes of the Culex species. Amid the recent geographical expansion of JEV into Mainland Australia and the dramatic increase in research output, here we provide an update to our 2018 systematic review and meta-analysis, by appraising the scientific literature published from 2016 through 2023 and quantitatively summarizing the data from this update and the 2018 systematic review meta-analysis on vector competence for JEV.</p><p><strong>Methods: </strong>A systematic review of the literature on JEV vector and host competence, published from 2016 through 2023, was performed. Bibliographic databases, PubMed, Scopus, Web of Science, and the Armed Forces Pest Management Board website were searched for relevant literature. Records were screened for relevance for vector competence, specifically: infection rate, dissemination rate, and transmission rate. To estimate the overall and subgroup effect sizes for each mosquito species, random-effects meta-analysis models were utilized. Meta-regression models were fit to evaluate the association between a priori variables-such as mosquito subfamily/tribe, routes of JEV administration for mosquito infection, incubation length, incubation temperatures, and diagnostic methods for JEV detection-and the outcomes of interest.</p><p><strong>Results: </strong>This study update includes 74 new reports, identifying 9-12 additional mosquito species as competent for JEV, depending on the specific outcome assessed. The overall JEV infection, dissemination, and transmission rates across all species and studies were 45.4% (95% confidence interval (CI) 35.9-55.2%), 41.2% (95% CI 29.7-53.7%), and 22.7% (95% CI 14.6-33.4%), respectively. Among the subfamilies/tribes, Culicini had the highest infection (51.9%; 95% CI 39.2-64.4%) and transmission (27.8%; 95% CI 16.5-43.1%) rates. 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引用次数: 0
摘要
背景:日本脑炎是由日本脑炎病毒(JEV)引起的一种新出现的人畜共患疾病,主要由库蚊传播。在最近JEV向澳大利亚大陆的地理扩展和研究产出的急剧增加的背景下,我们通过评估2016年至2023年发表的科学文献,并定量总结该更新和2018年JEV媒介能力系统综述荟萃分析的数据,对2018年的系统综述和荟萃分析进行了更新。方法:系统回顾2016 - 2023年发表的乙脑病毒媒介和宿主能力相关文献。检索了文献数据库PubMed、Scopus、Web of Science和Armed Forces Pest Management Board网站的相关文献。筛选与媒介能力相关的记录,特别是感染率、传播率和传播率。为了估计每种蚊子的总体效应和亚组效应大小,采用了随机效应荟萃分析模型。拟合meta回归模型来评估先验变量(如蚊子亚科/部落、蚊子感染乙脑病毒的途径、潜伏期、潜伏期温度和乙脑病毒检测的诊断方法)与研究结果之间的关系。结果:本次研究更新包括74份新报告,根据评估的具体结果确定了9-12种具有乙脑病毒能力的蚊子。所有物种和研究的乙脑病毒感染、传播和传播率分别为45.4%(95%可信区间(CI) 35.9 ~ 55.2%)、41.2% (95% CI 29.7 ~ 53.7%)和22.7% (95% CI 14.6 ~ 33.4%)。亚科/部落中库利奇尼感染率最高(51.9%);95% CI 39.2-64.4%)和传播(27.8%;95% CI 16.5-43.1%)。meta回归显示,尽管研究之间的异质性(I2)仍然很高(I2 bb0 83.47),但蚊子亚科/部落与所有研究结果一致相关。结论:本研究提供了乙脑病毒媒介能力的定量总结更新。媒介能力数据对于建立风险评估模型、制定蚊虫和病毒监测规划以及制定有效的预防和控制策略是必要的。
Mosquito vector competence for Japanese encephalitis virus: a systematic review and meta-analysis update.
Background: Japanese encephalitis is an emerging zoonotic disease caused by the Japanese encephalitis virus (JEV), transmitted primarily by mosquitoes of the Culex species. Amid the recent geographical expansion of JEV into Mainland Australia and the dramatic increase in research output, here we provide an update to our 2018 systematic review and meta-analysis, by appraising the scientific literature published from 2016 through 2023 and quantitatively summarizing the data from this update and the 2018 systematic review meta-analysis on vector competence for JEV.
Methods: A systematic review of the literature on JEV vector and host competence, published from 2016 through 2023, was performed. Bibliographic databases, PubMed, Scopus, Web of Science, and the Armed Forces Pest Management Board website were searched for relevant literature. Records were screened for relevance for vector competence, specifically: infection rate, dissemination rate, and transmission rate. To estimate the overall and subgroup effect sizes for each mosquito species, random-effects meta-analysis models were utilized. Meta-regression models were fit to evaluate the association between a priori variables-such as mosquito subfamily/tribe, routes of JEV administration for mosquito infection, incubation length, incubation temperatures, and diagnostic methods for JEV detection-and the outcomes of interest.
Results: This study update includes 74 new reports, identifying 9-12 additional mosquito species as competent for JEV, depending on the specific outcome assessed. The overall JEV infection, dissemination, and transmission rates across all species and studies were 45.4% (95% confidence interval (CI) 35.9-55.2%), 41.2% (95% CI 29.7-53.7%), and 22.7% (95% CI 14.6-33.4%), respectively. Among the subfamilies/tribes, Culicini had the highest infection (51.9%; 95% CI 39.2-64.4%) and transmission (27.8%; 95% CI 16.5-43.1%) rates. Meta-regressions showed mosquito subfamily/tribe was consistently associated with all the outcomes of interest, although the heterogeneity (I2) between studies remained consistently high (I2 > 83.47).
Conclusions: The information presented in this study provides a quantitative summary update on vector competence for JEV. Vector competence data are necessary for risk assessment models, the development of mosquito and virus surveillance programs, and effective prevention and control strategies in regions currently affected by JEV and those at risk of incursion.
期刊介绍:
Parasites & Vectors is an open access, peer-reviewed online journal dealing with the biology of parasites, parasitic diseases, intermediate hosts, vectors and vector-borne pathogens. Manuscripts published in this journal will be available to all worldwide, with no barriers to access, immediately following acceptance. However, authors retain the copyright of their material and may use it, or distribute it, as they wish.
Manuscripts on all aspects of the basic and applied biology of parasites, intermediate hosts, vectors and vector-borne pathogens will be considered. In addition to the traditional and well-established areas of science in these fields, we also aim to provide a vehicle for publication of the rapidly developing resources and technology in parasite, intermediate host and vector genomics and their impacts on biological research. We are able to publish large datasets and extensive results, frequently associated with genomic and post-genomic technologies, which are not readily accommodated in traditional journals. Manuscripts addressing broader issues, for example economics, social sciences and global climate change in relation to parasites, vectors and disease control, are also welcomed.