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

• 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
• 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

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.

在撒哈拉以南非洲地区，鉴于误诊的可能性很高，而且不同地区和不同易感人群中的传播水平未经研究，对登革热 (DENV) 和基孔肯雅 (CHIKV) 病毒的常规被动监测只能检测到其影响的一小部分。已知和未知的昆虫学、环境和行为因素对不同栖息地的传播有不同的推动作用。缺乏系统监测和准确诊断，加上临床怀疑水平较低，都导致非洲地区诊断不足，无法预防疫情暴发。在这个更新提案中，我们的假设是，持续的地方性传播可能会导致爆发，而爆发的可能性会受到可测量因素（人类运动和行为模式、天气/气候和病毒输入/引入）的影响，并且这种转变是可预测和可预防的。这些研究的目的是详细说明促进人与媒介界面上流行病传播的主导因素，并确定封锁这些因素的机会。为了确定疫情爆发的关键驱动因素，我们计划： 1）测量蚊子在空间和时间上的丰度； 2) 使用新技术更好地定义人类媒介暴露； 3) 识别有助于增加暴露的人类属性，例如运动和行为； 4) 了解疫情爆发是否是由于新病毒引入或地方性病毒株所致； 5) 确定持续人类传播和疫情爆发的最有影响力的驱动因素，然后使用模型来比较干预策略的潜在影响。使用新颖的方法，我们实现了以下目标：1）定义媒介丰度增加和人类传播风险增加的时间段，以描绘登革热和基孔肯雅热流行转变的阈值； 2) 病媒丰度增加和人类传播风险增加的详细地点； 3) 确定记录在案的聚集性感染是否因输入/传入或地方性传播而发生； 4) 建立疫情模型以预测影响，为政策提供信息。这项研究基于 15 年的合作纵向研究，涉及肯尼亚蒙巴萨（沿海）和基苏木（西部）的队列，这些地方全年都有传播，并记录了最近爆发的登革热病毒和奇克病毒。这些研究将填补有关 CHIKV 和 DENV 在当地栖息地的持久性以及在不同环境中导致疫情传播的因素的知识空白。这些数据还将回答有关发烧综合征中虫媒病毒病因的基本问题，同时提供相关疾病负担和长期后遗症的最佳估计。

项目成果

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

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

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

利用牲畜运动前往城市屠宰场，以在肯尼亚西部进行广泛的裂谷谷热病毒监测。

• 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
• 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 Importance of Including Non-Household Environments in Dengue Vector Control Activities.

• DOI: 10.3390/v15071550
• 发表时间: 2023-07-14
• 期刊: Viruses
• 作者: Peña-García VH;Mutuku FM;Ndenga BA;Mbakaya JO;Ndire SO;Agola GA;Mutuku PS;Malumbo SL;Ng'ang'a CM;Andrews JR;Mordecai EA;LaBeaud AD
• 通讯作者: LaBeaud AD