Original Research

Developing a community-centred malaria early warning system based on indigenous knowledge: Gwanda District, Zimbabwe

Margaret Macherera, Moses J. Chimbari
Jàmbá: Journal of Disaster Risk Studies | Vol 8, No 1 | a289 | DOI: https://doi.org/10.4102/jamba.v8i1.289 | © 2016 Margaret Macherera, Moses J. Chimbari | This work is licensed under CC Attribution 4.0
Submitted: 31 December 2015 | Published: 29 September 2016

About the author(s)

Margaret Macherera, Department of Environmental Science and Health, National University of Science and Technology, Zimbabwe; College of Health Sciences, University of KwaZulu-Natal, South Africa
Moses J. Chimbari, College of Health Sciences, University of KwaZulu-Natal, South Africa


Malaria continues to be a major public health problem in Sub-Saharan Africa despite efforts that have been made to prevent and control the disease for many decades. The knowledge on prediction and occurrence of the disease that communities acquired over the years has not been seriously considered in control programmes. This article reports on studies that aimed to integrate indigenous knowledge systems (IKS) on malaria into the malaria control programme in Gwanda District, Zimbabwe. The studies were conducted over a 3-year period. Data were collected using participatory rural appraisals, key informant interviews, household interviews and workshops in three wards (11, 15 and 18) with the highest malaria incidence in Gwanda District. Disease livelihoods calendars produced by the community showed their knowledge on the relationship between malaria, temperature and rainfall, and thus an understanding of malaria as a hazard. Volunteer IKS experts willing to record the indigenous environmental indicators for the occurrence of malaria in the study area were identified by the communities. Indigenous environmental indicators for the occurrence of malaria were classified as insects, plant phenology, animals, weather and cosmological indicators. Plant phenology was emphasised more than the other indicators. A community-based malaria early warning system model was developed using the identified IKS indicators in two of the wards using the ward health team as an entry point to the health system. In the model, data on indicators were collected at the village level by IKS experts, analysed at ward level by IKS experts and health workers and relayed to the district health team.


IKS; indigenous; knowledge; malaria; early-warning; Gwanda; Zimbabwe


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Crossref Citations

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