Spatial and temporal village-level prevalence of Plasmodium infection and associated risk factors in two districts of Meghalaya, India

被引:8
|
作者
Kessler, Anne [1 ]
Shylla, Badondor [2 ,3 ]
Singh, Upasana Shyamsunder [4 ]
Lyngdoh, Rilynti [5 ]
Mawkhlieng, Bandapkupar [2 ]
van Eijk, Anna Maria [1 ]
Sullivan, Steven A. [1 ]
Das, Aparup [6 ]
Walton, Catherine [4 ]
Wilson, Mark L. [7 ]
Carlton, Jane M. [1 ,8 ]
Albert, Sandra [2 ,3 ]
机构
[1] NYU, Ctr Genom & Syst Biol, Dept Biol, New York, NY 10003 USA
[2] Indian Inst Publ Hlth Shillong, Shillong 793001, Meghalaya, India
[3] Martin Luther Christian Univ, Shillong 793006, Meghalaya, India
[4] Univ Manchester, Sch Nat Sci, Dept Earth & Environm Sci, Manchester M13 9PT, Lancs, England
[5] Natl Vector Borne Dis Programme, Dept Hlth Serv Malaria, Pasteur Hill, Shillong 793001, Meghalaya, India
[6] ICMR Natl Inst Res Tribal Hlth, Jabalpur 482003, Madhya Pradesh, India
[7] Univ Michigan, Sch Publ Hlth, Dept Epidemiol, Ann Arbor, MI 48109 USA
[8] NYU, Coll Global Publ Hlth, Dept Epidemiol, New York, NY 10012 USA
基金
美国国家卫生研究院;
关键词
Subpatent Plasmodium infections; Anopheles mosquito abundance; Declining incidence; Malaria elimination;
D O I
10.1186/s12936-021-03600-w
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Background Despite declining incidence over the past decade, malaria remains an important health burden in India. This study aimed to assess the village-level temporal patterns of Plasmodium infection in two districts of the north-eastern state of Meghalaya and evaluate risk factors that might explain these patterns. Methods Primary Health Centre passive malaria case data from 2014 to 2018 were analysed to characterize village-specific annual incidence and temporal trends. Active malaria case detection was undertaken in 2018 and 2019 to detect Plasmodium infections using PCR. A questionnaire collected socio-demographic, environmental, and behavioural data, and households were spatially mapped via GPS. Adult mosquitoes were sampled at a subset of subjects' houses, and Anopheles were identified by PCR and sequencing. Risk factors for Plasmodium infection were evaluated using bivariate and multivariate logistic regression analysis, and spatial cluster analysis was undertaken. Results The annual malaria incidence from PHC-based passive surveillance datasets in 2014-2018 was heterogenous but declining across villages in both districts. Active surveillance in 2018 enrolled 1468 individuals from 468 households (West Jaintia Hills) and 1274 individuals from 359 households (West Khasi Hills). Plasmodium falciparum prevalence per 100 people varied from 0 to 4.1% in the nine villages of West Jaintia Hills, and from 0 to 10.6% in the 12 villages of West Khasi Hills. Significant clustering of P. falciparum infections [observed = 11, expected = 2.15, Relative Risk (RR) = 12.65; p < 0.001] was observed in West Khasi Hills. A total of 13 Anopheles species were found at 53 houses in five villages, with Anopheles jeyporiensis being the most abundant. Risk of infection increased with presence of mosquitoes and electricity in the households [Odds Ratio (OR) = 1.19 and 1.11], respectively. Households with reported animals had reduced infection risk (OR = 0.91). Conclusion Malaria incidence during 2014-2018 declined in all study villages covered by the passive surveillance data, a period that includes the first widespread insecticide-treated net campaign. The survey data from 2018 revealed a significant association between Plasmodium infection and certain household characteristics. Since species of Plasmodium-competent mosquito vectors continue to be abundant, malaria resurgence remains a threat, and control efforts should continue.
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页数:17
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