Overgaard Hans J, Pientong Chamsai, Thaewnongiew Kesorn, Bangs Michael J, Ekalaksananan Tipaya, Aromseree Sirinart, Phanitchat Thipruethai, Phanthanawiboon Supranee, Fustec Benedicte, Corbel Vincent, Cerqueira Dominique, Alexander Neal
Norwegian University of Life Sciences, Ås, Norway.
Khon Kaen University, Khon Kaen, Thailand.
Trials. 2018 Feb 20;19(1):122. doi: 10.1186/s13063-018-2490-1.
Dengue fever is the most common and widespread mosquito-borne arboviral disease in the world. There is a compelling need for cost-effective approaches and practical tools that can reliably measure real-time dengue transmission dynamics that enable more accurate and useful predictions of incidence and outbreaks. Sensitive surveillance tools do not exist today, and only a small handful of new control strategies are available. Vector control remains at the forefront for combating dengue transmission. However, the effectiveness of many current vector control interventions is fraught with inherent weaknesses. No single vector control method is effective enough to control both vector populations and disease transmission. Evaluations of novel larval and adult control interventions are needed.
METHODS/DESIGN: A cluster-randomized controlled trial will be carried out between 2017 and 2019 in urban community clusters in Khon Kaen and Roi Et cities, northeastern Thailand. The effectiveness of a pyriproxyfen/spinosad combination treatment of permanent water storage containers will be evaluated on epidemiological and entomological outcomes, including dengue incidence, number of female adult dengue vectors infected or not infected with dengue virus (DENV), human exposure to Aedes mosquito bites, and several other indices. These indices will also be used to develop predictive models for dengue transmission and impending outbreaks. Epidemiological and entomological data will be collected continuously for 2 years, with the intervention implemented after 1 year.
The aims of the trial are to simultaneously evaluate the efficacy of an innovative dengue vector control intervention and developing predictive dengue models. Assessment of human exposure to mosquito bites by detecting antibodies generated against Aedes saliva proteins in human blood samples has, so far, not been applied in dengue epidemiological risk assessment and disease surveillance methodologies. Likewise, DENV detection in mosquitoes (adult and immature stages) has not been used in any practical way for routine disease surveillance strategies. The integration of multiple outcome measures will assist health authorities to better predict outbreaks for planning and applying focal and timely interventions. The trial outcomes will not only be important for Thailand, but also for the entire Southeast Asian region and further afield.
ISRCTN, ISRCTN73606171 . Registered on 23 June 2017.
登革热是世界上最常见且分布最广的蚊媒虫媒病毒病。迫切需要具有成本效益的方法和实用工具,能够可靠地测量实时登革热传播动态,从而更准确、更有效地预测发病率和疫情爆发。目前尚不存在灵敏的监测工具,且仅有少数几种新的控制策略。病媒控制仍然是抗击登革热传播的首要手段。然而,许多当前病媒控制干预措施的有效性存在固有弱点。没有一种单一的病媒控制方法足以有效控制病媒种群和疾病传播。需要对新型幼虫和成虫控制干预措施进行评估。
方法/设计:2017年至2019年期间,将在泰国东北部孔敬市和黎逸市的城市社区集群中开展一项整群随机对照试验。将评估吡丙醚/多杀霉素联合处理永久性储水容器对流行病学和昆虫学结果的有效性,这些结果包括登革热发病率、感染或未感染登革病毒(DENV)的成年雌性登革热媒介数量、人类被伊蚊叮咬情况以及其他几个指标。这些指标还将用于建立登革热传播和即将爆发疫情的预测模型。将连续2年收集流行病学和昆虫学数据,干预措施在1年后实施。
该试验的目的是同时评估一种创新的登革热媒介控制干预措施的疗效,并建立登革热预测模型。通过检测人类血液样本中针对伊蚊唾液蛋白产生的抗体来评估人类被蚊虫叮咬的情况,迄今为止尚未应用于登革热流行病学风险评估和疾病监测方法中。同样,在蚊子(成虫和幼虫阶段)中检测DENV尚未以任何实际方式用于常规疾病监测策略。整合多种结果测量指标将有助于卫生当局更好地预测疫情爆发,以便规划和实施有针对性的及时干预措施。该试验结果不仅对泰国很重要,对整个东南亚地区及其他地区也很重要。
ISRCTN,ISRCTN73606171。于2017年6月23日注册。