The impact of sustained malaria control in the Loreto region of Peru: a retrospective, observational, spatially-varying interrupted time series analysis of the PAMAFRO program

被引:12
作者
Janko, Mark M. [1 ,2 ]
Recalde-Coronel, G. Cristina [3 ,4 ]
Damasceno, Camila P. [5 ]
Salmon-Mulanovich, Gabriela [6 ]
Barbieri, Alisson F. [5 ]
Lescano, Andres G. [7 ]
Zaitchik, Benjamin F. [3 ]
Pan, William K. [1 ,8 ]
机构
[1] Duke Univ, Duke Global Hlth Inst, Durham, NC 27710 USA
[2] Univ Washington, Inst Hlth Metr & Evaluat, Seattle, WA USA
[3] Johns Hopkins Univ, Dept Earth & Planetary Sci, Baltimore, MD USA
[4] Escuela Super Politecn Litoral, Fac Ingn Maritima & Ciencias Mar, Guayaquil, Ecuador
[5] Univ Fed Minas Gerais UFMG, Belo Horizonte, Brazil
[6] Pontifica Univ Catolica Peru, Lima, Peru
[7] Univ Peruana Cayetano Heredia, Clima Latin Amer Ctr Excellence Climate Change & H, Emerging Dis & Climate Change Res Unit, Lima, Peru
[8] Duke Univ, Nicholas Sch Environm, Durham, NC USA
来源
LANCET REGIONAL HEALTH-AMERICAS | 2023年 / 20卷
基金
美国国家航空航天局; 美国国家卫生研究院;
关键词
Malaria; PAMAFRO; Climate; Interrupted time series; Spatially-varying coefficients; Loreto; DEFORESTATION; VECTOR; INTERVENTIONS; EPIDEMIOLOGY; FALCIPARUM; AFRICA;
D O I
10.1016/j.lana.2023.100477
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Although malaria control investments worldwide have resulted in dramatic declines in transmission since 2000, progress has stalled. In the Amazon, malaria resurgence has followed withdrawal of Global Fund support of the Project for Malaria Control in Andean Border Areas (PAMAFRO). We estimate intervention-specific and spatially-explicit effects of the PAMAFRO program on malaria incidence across the Loreto region of Peru, and consider the influence of the environmental risk factors in the presence of interventions. Methods We conducted a retrospective, observational, spatial interrupted time series analysis of malaria incidence rates among people reporting to health posts across Loreto, Peru between the first epidemiological week of January 2001 and the last epidemiological week of December 2016. Model inference is at the smallest administrative unit (district), where the weekly number of diagnosed cases of Plasmodium vivax and Plasmodium falciparum were determined by microscopy. Census data provided population at risk. We include as covariates weekly estimates of minimum temperature and cumulative precipitation in each district, as well as spatially-and temporally-lagged malaria incidence rates. Environmental data were derived from a hydrometeorological model designed for the Amazon. We used Bayesian spatiotemporal modeling techniques to estimate the impact of the PAMAFRO program, variability in environmental effects, and the role of climate anomalies on transmission after PAMAFRO withdrawal. Findings During the PAMAFRO program, incidence of P. vivax declined from 42.8 to 10.1 cases/1000 people/year. Incidence for P. falciparum declined from 14.3 to 2.5 cases/1000 people/year over this same period. The effects of PAMAFRO-supported interventions varied both by geography and species of malaria. Interventions were only effective in districts where interventions were also deployed in surrounding districts. Further, interventions diminished the effects of other prevailing demographic and environmental risk factors. Withdrawal of the program led to a resurgence in transmission. Increasing minimum temperatures and variability and intensity of rainfall events from 2011 onward and accompanying population displacements contributed to this resurgence. Interpretation Malaria control programs must consider the climate and environmental scope of interventions to maximize effectiveness. They must also ensure financial sustainability to maintain local progress and commitment to malaria prevention and elimination efforts, as well as to offset the effects of environmental change that increase transmission risk. 2023;20: 2023 1016/j.lana.2023. 100477
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页数:15
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