Malaria Transmission and Spillover across the Peru-Ecuador Border: A Spatiotemporal Analysis

被引:15
作者
Gunderson, Annika K. [1 ]
Kumar, Rani E. [2 ]
Recalde-Coronel, Cristina [3 ,4 ]
Vasco, Luis E. [5 ]
Valle-Campos, Andree [6 ]
Mena, Carlos F. [5 ]
Zaitchik, Benjamin F. [3 ]
Lescano, Andres G. [6 ]
Pan, William K. [2 ]
Janko, Mark M. [1 ,7 ]
机构
[1] Duke Univ, Duke Global Hlth Inst, Durham, NC 27710 USA
[2] Duke Univ, Nicholas Sch Environm, Durham, NC 27710 USA
[3] Johns Hopkins Univ, Dept Earth & Planetary Sci, 327 Olin Hall,3400 N Charles St, Baltimore, MD 21218 USA
[4] Escuela Super Politecn Litoral, Fac Ingn Maritima & Ciencias Mar, Guayaquil 090150, Ecuador
[5] Univ San Francisco Quito, Colegio Ciencias Biol & Ambient, Inst Geog, Quito 170104, Ecuador
[6] Univ Peruana Cayetano Heredia, Emerge Emerging Dis & Climate Change Res Unit, San Martin De Porres 15102, Peru
[7] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA 98121 USA
基金
美国国家航空航天局;
关键词
malaria; human mobility; spillover; spatiotemporal modeling; Bayesian methods; MIGRATION;
D O I
10.3390/ijerph17207434
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Border regions have been implicated as important hot spots of malaria transmission, particularly in Latin America, where free movement rights mean that residents can cross borders using just a national ID. Additionally, rural livelihoods largely depend on short-term migrants traveling across borders via the Amazon's river networks to work in extractive industries, such as logging. As a result, there is likely considerable spillover across country borders, particularly along the border between Peru and Ecuador. This border region exhibits a steep gradient of transmission intensity, with Peru having a much higher incidence of malaria than Ecuador. In this paper, we integrate 13 years of weekly malaria surveillance data collected at the district level in Peru and the canton level in Ecuador, and leverage hierarchical Bayesian spatiotemporal regression models to identify the degree to which malaria transmission in Ecuador is influenced by transmission in Peru. We find that increased case incidence in Peruvian districts that border the Ecuadorian Amazon is associated with increased incidence in Ecuador. Our results highlight the importance of coordinated malaria control across borders.
引用
收藏
页码:1 / 9
页数:9
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