Forest-goers as a heterogeneous population at high-risk for malaria: a case-control study in Aceh Province, Indonesia

被引:1
|
作者
Gallalee, Sarah [1 ]
Zarlinda, Iska [2 ]
Silaen, Martha G. [2 ]
Cotter, Chris [1 ,3 ]
Cueto, Carmen [1 ]
Elyazar, Iqbal R. F. [4 ]
Jacobson, Jerry O. [1 ]
Gosling, Roly [1 ,5 ]
Hsiang, Michelle S. [1 ,6 ,7 ]
Bennett, Adam [1 ,6 ]
Coutrier, Farah N. [2 ,8 ]
Smith, Jennifer L. [1 ,6 ]
机构
[1] Univ Calif San Francisco, Inst Global Hlth Sci, Malaria Eliminat Initiat, San Francisco, CA 94115 USA
[2] Eijkman Inst Mol Biol, Malaria Pathogenesis Unit, Jakarta, Indonesia
[3] Uppsala Univ, Dept Womens & Childrens Hlth, Uppsala, Sweden
[4] Eijkman Inst Mol Biol, Eijkman Oxford Clin Res Unit, Jakarta, Indonesia
[5] London Sch Hyg & Trop Med, Dept Dis Control, London, England
[6] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA USA
[7] Univ Calif San Francisco, Benioff Childrens Hosp, Dept Pediat, San Francisco, CA USA
[8] Natl Res & Innovat Agcy BRIN, Eijkman Res Ctr Mol Biol, Jakarta, Indonesia
关键词
Malaria; Malaria elimination; High-risk populations; Surveillance; Forest-goers; Indonesia; Plasmodium vivax; Plasmodium knowlesi; PLASMODIUM-KNOWLESI; SOUTHEAST-ASIA; CHEMOPROPHYLAXIS; ELIMINATION; LESSONS;
D O I
10.1186/s12936-024-04856-8
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
BackgroundA major challenge to malaria elimination is identifying and targeting populations that are harbouring residual infections and contributing to persistent transmission. In many near-elimination settings in Southeast Asia, it is known that forest-goers are at higher risk for malaria infection, but detailed information on their behaviours and exposures is not available.MethodsIn Aceh Province, Indonesia, a near-elimination setting where a growing proportion of malaria is due to Plasmodium knowlesi, a case-control study was conducted to identify risk factors for symptomatic malaria, characteristics of forest-goers, and key intervention points. From April 2017 to September 2018, cases and controls were recruited and enrolled in a 1:3 ratio. Cases had confirmed malaria infection by rapid diagnostic test or microscopy detected at a health facility (HF). Gender-matched controls were recruited from passive case detection among individuals with suspected malaria who tested negative at a health facility (HF controls), and community-matched controls were recruited among those testing negative during active case detection. Multivariable logistic regression (unconditional for HF controls and conditional for community controls) was used to identify risk factors for symptomatic malaria infection.ResultsThere were 45 cases, of which 27 were P. knowlesi, 17 were Plasmodium vivax, and one was not determined. For controls, 509 and 599 participants were recruited from health facilities and the community, respectively. Forest exposures were associated with high odds of malaria; in particular, working and sleeping in the forest (HF controls: adjusted odds ratio (aOR) 21.66, 95% CI 5.09-92.26; community controls: aOR 16.78, 95% CI 2.19-128.7) and having a second residence in the forest (aOR 6.29, 95% CI 2.29-17.31 and 13.53, 95% CI 2.10-87.12). Male forest-goers were a diverse population employed in a variety of occupations including logging, farming, and mining, sleeping in settings, such as huts, tents, and barracks, and working in a wide range of group sizes. Reported use of protective measures, such as nets, hammock nets, mosquito coils, and repellents was low among forest-goers and interventions at forest residences were absent.ConclusionsSecond residences in the forest and gaps in use of protective measures point to key malaria interventions to improve coverage in forest-going populations at risk for P. knowlesi and P. vivax in Aceh, Indonesia. Intensified strategies tailored to specific sub-populations will be essential to achieve elimination.
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