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Defining malaria risks among forest workers in Aceh, Indonesia: a formative assessment
Lenny L Ekawati1, Kelly C Johnson2, Jerry O Jacobson3
1Eijkman-Oxford Clinical Research Unit, Eijkman Institute for Molecular Biology, Jalan Diponegoro No. 69, Jakarta, 10430, Indonesia. lekawati@eocru.org.
Malaria Journal
|December 1, 2020
Summary
Forest workers in Aceh face malaria risks, including Plasmodium knowlesi, due to their activities. Targeted surveillance at work sites and peer-referral systems show promise for detecting infections missed by current methods.
Area of Science:
- Medical Entomology
- Infectious Diseases
- Public Health Surveillance
Background:
- Malaria elimination efforts in Aceh are challenged by risks associated with forest work.
- Geographically-based reactive case detection (RACD) identified forest work as a risk factor, with notable Plasmodium knowlesi infections.
- Understanding malaria transmission dynamics among forest workers is crucial for targeted surveillance.
Purpose of the Study:
- To understand malaria risks associated with forest work in Aceh.
- To identify effective strategies for malaria surveillance among forest workers.
- To adapt reactive case detection (RACD) for this high-risk population.
Main Methods:
- Qualitative formative assessment using focus groups and in-depth interviews with forest workers and key informants.
- Exploration of forest activities, worker mobility, primate interactions, and healthcare-seeking behaviors.
- Assessment of willingness to participate in malaria surveys at forest work sites and via peer-referral.
Main Results:
- Forest activities like mining, logging, and agriculture involve prolonged stays in remote areas with limited mosquito prevention.
- Workers often self-medicate or seek traditional/pharmacy care for fevers, bypassing formal health facilities.
- Employers and workers expressed willingness for malaria testing and survey participation through peer-referral and at work sites.
Conclusions:
- Forest workers in Aceh are a diverse group at significant risk of malaria, including Plasmodium knowlesi.
- Current passive surveillance and household screening likely underestimate malaria burden in this population.
- Adapting active surveillance methods, such as work-site screening and peer-referral, is a promising strategy to detect hidden infections.

