Disentangling the human vector relationship to disrupt dengue and chikungunya virus outbreaks in Kenya

理清人类媒介关系以阻止肯尼亚登革热和基孔肯雅病毒的爆发

基本信息

批准号：
10640241
负责人：
Angelle Desiree LaBeaud
金额：
$ 74.53万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-07-05 至 2025-04-30
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10640241
关键词：
Address Aedes Africa South of the Sahara African Arbovirus Infections Arboviruses Behavior Behavioral Bite Breeding Calibration Cellular Phone Characteristics Chikungunya virus Circulation Climate Clinical Communities Country Coupled Culicidae Data Decision Making Dengue Dengue Infection Dengue Virus Detection Diagnosis Disease Disease Outbreaks Environmental Risk Factor Epidemic Etiology Exposure to Fever Future Goals Habitats Habits Health High Prevalence Human Human Activities Incidence Infection Influentials Intervention Kenya Knowledge Lead Link Location Longitudinal Studies Maintenance Maps Measurable Measures Modeling Mosquito Control Movement Pathway Analysis Pattern Periodicals Pharmaceutical Preparations Policies Policy Maker Population Predisposition Prevention Probability Public Health Research Risk Risk Behaviors Seasonal Variations Seasons Sequence Analysis Statistical Models Syndrome Time Time Series Analysis Viral Viral Vaccines Virus Weather accurate diagnostics arm burden of illness chikungunya chikungunya infection cohort design disability evidence base exposed human population feeding future implementation implementation trial in silico long-term sequelae new technology novel strategies outbreak concern outbreak prediction predictive modeling prevent prevent outbreaks programs risk mitigation simulation spatial integration time use transmission process urban planning vector viral detection

项目摘要

In sub-Saharan Africa, routine passive surveillance for dengue (DENV) and chikungunya (CHIKV) viruses detects only a fraction of their impact, given the high probability of misdiagnosis and unstudied levels of transmission across different landscapes and within different susceptible populations. Known and unknown entomologic, environmental, and behavioral factors differentially drive transmission in different habitats. The lack of systematic surveillance and accurate diagnostics coupled with low levels of clinical suspicion all lead to under-diagnosis in the African setting and the inability to prevent outbreaks. In this renewal proposal, our hypothesis is that ongoing endemic transmission leads to potential for outbreaks that is modified by measurable factors (human movement and behavior patterns, weather/climate, and viral importations/introductions), and that this transition is predictable and preventable. The objective of these studies is to detail the dominant factors that facilitate epidemic transmission at the human-vector interface and to identify opportunities to blockade them. In order to define key drivers of outbreaks, we plan to: 1) Measure mosquito abundance in space and time; 2) Better define human-vector exposure using novel technology; 3) Identify human attributes such as movement and behavior that contribute to increased exposure; 4) Understand if outbreaks are due to new viral introductions or endemic viral strains and; 5) Identify the most influential drivers of ongoing human transmission and outbreak initiation and then use modeling to compare the potential impact of intervention strategies. Using novel approaches, we address the following aims: 1) Define time periods of increased vector abundance and increased risk for human transmission to delineate thresholds for dengue and chikungunya epidemic transition; 2) Detail locations with increased vector abundance and increased risk for human transmission; 3) Identify whether documented infection clusters occur due to importation/introduction vs. endemic transmission; and 4) Model outbreaks for predictive impact to inform policy. This research is based on 15 years of collaborative longitudinal studies and involves cohorts in Mombasa (coastal) and Kisumu (western), Kenya, where there is year-round transmission and documented recent outbreaks of DENV and CHIKV. These studies will fill knowledge gaps about the persistence of CHIKV and DENV in local habitats and the factors that contribute to outbreak transmission in varied settings. The data will also answer fundamental questions about arboviral etiologies in fever syndromes, while providing best estimates of related disease burden and long-term sequelae.

在撒哈拉以南非洲，鉴于误诊的可能性很高，跨不同景观和不同易感人群的误诊和未研究水平的传播水平很高，因此对登革热（DENV）和基孔肯雅（Chikv）病毒的常规被动监视仅检测到其影响的一小部分。已知且未知的昆虫学，环境和行为因素在不同栖息地中差异化。缺乏系统的监测和准确的诊断和较低的临床怀疑，这都导致非洲环境中的诊断不足，无法防止爆发。在这项续签建议中，我们的假设是，持续的地方性传播导致爆发的潜力，这些爆发被可测量的因素（人类运动和行为模式，天气/气候以及病毒进口/引入）所修饰，并且这种过渡是可预测的和可预防的。这些研究的目的是详细介绍促进人类载体界面流行病的主要因素，并确定阻止它们的机会。为了定义爆发的关键驱动因素，我们计划：1）测量时空中的蚊子丰度； 2）更好地使用新技术来定义人类载体的暴露； 3）确定人类属性，例如运动和行为，导致暴露量增加； 4）了解暴发是由于新的病毒引入或特有病毒株引起的； 5）确定正在进行的人类传播和爆发启动的最有影响力的驱动因素，然后使用建模来比较干预策略的潜在影响。使用新颖的方法，我们解决了以下目的：1）定义载体丰度增加的时间段，并增加了人类传播的风险，以描绘登革热和基孔肯雅亚流行性转变的阈值； 2）详细位置，载体丰度增加并增加了人类传播的风险； 3）确定是否由于进口/引入与地方性传播而发生的有记录的感染簇发生； 4）模型爆发，以实现预测影响以告知政策。这项研究基于15年的合作纵向研究，并涉及肯尼亚的蒙巴萨（沿海）和基苏木（西部），那里有全年的传播，并记录了DENV和CHIKV最近的爆发。这些研究将填补有关当地栖息地中Chikv和Denv持续性的知识差距，以及导致各种环境中爆发传播的因素。这些数据还将回答有关发烧综合征中弧病毒病因的基本问题，同时提供有关疾病负担和长期后遗症的最佳估计。

项目成果

期刊论文数量（53）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Serological and spatial analysis of alphavirus and flavivirus prevalence and risk factors in a rural community in western Kenya.

DOI：
10.1371/journal.pntd.0005998
发表时间：
2017-10
期刊：
PLoS neglected tropical diseases
影响因子：
3.8
作者：
Grossi-Soyster EN;Cook EAJ;de Glanville WA;Thomas LF;Krystosik AR;Lee J;Wamae CN;Kariuki S;Fèvre EM;LaBeaud AD
通讯作者：
LaBeaud AD

The sero-epidemiology of Rift Valley fever in people in the Lake Victoria Basin of western Kenya.

DOI：
10.1371/journal.pntd.0005731
发表时间：
2017-07
期刊：
PLoS neglected tropical diseases
影响因子：
3.8
作者：
Cook EAJ;Grossi-Soyster EN;de Glanville WA;Thomas LF;Kariuki S;Bronsvoort BMC;Wamae CN;LaBeaud AD;Fèvre EM
通讯作者：
Fèvre EM

Leveraging livestock movements to urban slaughterhouses for wide-spread Rift Valley fever virus surveillance in Western Kenya.

DOI：
10.1016/j.onehlt.2022.100457
发表时间：
2022-12
期刊：
ONE HEALTH
影响因子：
5
作者：
Gerken, Keli Nicole;Ndenga, Bryson Alberto;Owuor, Kevin Omondi;Winter, Christabel Achieng;Seetah, Krish;LaBeaud, Angelle Desiree
通讯作者：
LaBeaud, Angelle Desiree

Re-Emergence of Yellow Fever in Brazil during 2016-2019: Challenges, Lessons Learned, and Perspectives.

DOI：
10.3390/v12111233
发表时间：
2020-10-30
期刊：
Viruses
影响因子：
0
作者：
de Oliveira Figueiredo P;Stoffella-Dutra AG;Barbosa Costa G;Silva de Oliveira J;Dourado Amaral C;Duarte Santos J;Soares Rocha KL;Araújo Júnior JP;Lacerda Nogueira M;Zazá Borges MA;Pereira Paglia A;Desiree LaBeaud A;Santos Abrahão J;Geessien Kroon E;Bretas de Oliveira D;Paiva Drumond B;de Souza Trindade G
通讯作者：
de Souza Trindade G

The role and influence of perceived experts in an anti-vaccine misinformation community.

反疫苗错误信息社区中公认专家的作用和影响力。