Evidence map›Paper›PMID 42380855›Full record

ArticleBMC veterinary research2026

Assessing Malawi's animal health surveillance system using the FAO surveillance evaluation tool: gaps, strengths, and opportunities for one health resilience.

Yusuf Mtila, Stewart Chikomola, Eric Kazadi Kawaya, Thoko Kapalamula, Sabenzia Wekesa, Fredrick Kivaria, Gladson Kamwendo, Julius Chulu, Marvin Phonera, Upile Kachepa and 6 more

Abstract read
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Article in BMC veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Yusuf MtilaFood and Agriculture Organization of the United Nations, Lilongwe, Malawi. yusufmtila@gmail.com.ORCID http://orcid.org/0009-0003-9477-812X
Stewart ChikomolaFood and Agriculture Organization of the United Nations, Lilongwe, Malawi.
Eric Kazadi KawayaFood and Agriculture Organization of the United Nations, Lilongwe, Malawi.
Thoko KapalamulaFood and Agriculture Organization of the United Nations, Lilongwe, Malawi.
Sabenzia WekesaFood and Agriculture Organization of the United Nations, Lilongwe, Malawi.
Fredrick KivariaFood and Agriculture Organization of the United Nations, Nairobi, Kenya.
Gladson KamwendoDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Julius ChuluDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Marvin PhoneraDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Upile KachepaDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Edwin NkhulungoDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Michael LuweDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Peter MwaleDepartment of Animal Health and Livestock Development, Lilongwe, Malawi.
Gisella De Oliveira Dias Da SilvaFood and Agriculture Organization of the United Nations, Rome, Italy.
Henson KaingaFaculty of Veterinary Medicine, Lilongwe University of Agriculture and Natural Resources, Lilongwe, Malawi.
Ihab El MasryFood and Agriculture Organization of the United Nations, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

methodsAnimal health surveillance is essential for early disease detection, outbreak response, and the prevention of zoonoses. In June 2024, Malawi conducted its first national assessment of its animal health surveillance system using the FAO Surveillance Evaluation Tool (SET), specifically the 2024 SET Evaluation Guide, version 2 to evaluate institutional, operational, and technical capacities. A participatory assessment was undertaken by experts from the Department of Animal Health and Livestock Development (DAHLD) and FAO, involving document reviews, stakeholder interviews, and site visits in seven districts. The SET was used to score 96 indicators across various domains on a scale of 1 (no capacity) to 4 (advanced).

resultsThe results indicated low overall performance. The weakest domains were active surveillance (5%), internal communication (12.6%), and risk assessment (16.7%). Relative strengths were observed in external communication (50%) and information systems (44.3%), though these were still below optimal levels. The system suffers from significant workforce shortages, with approximately 33% of officer positions vacant, placing a heavy burden on inadequately resourced community-based assistants. Laboratory capacity was found to be centralized and limited, with regional laboratories offering only basic diagnostic services. Data management is predominantly paper-based, and formal risk-based surveillance plans and feedback mechanisms are lacking. CONCLUSION AND RECOMMENDATIONS: In conclusion, while Malawi's animal health surveillance system has an established institutional framework, it is weakly structured and inconsistently operationalized. This is characterized by limited proactive surveillance, significant workforce gaps, under-resourced laboratory diagnostics, and fragmented data and communication channels. Nonetheless, a foundation for improvement exists, including legal provisions, a dedicated Epidemiology Unit within DAHLD, and a tiered surveillance workforce. Prioritized recommendations include developing and operationalizing a national surveillance strategy, strengthening laboratory and data systems, addressing critical workforce gaps, and integrating animal health surveillance into broader One Health and emergency preparedness frameworks.

Indexed as

Epidemiological MonitoringOne HealthAnimalsDisease OutbreaksMalawiPopulation SurveillancePublic Health InfrastructureZoonosesAnimal health surveillanceData managementDisease detectionFAO SETGlobal Health SecurityLaboratory capacityMalawiOne HealthOutbreak investigationWorkforce trainingZoonoses

Identifiers

PMID42380855
PMCPMC13599071

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