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Viral Infections and Outbreaks Research / Data Driven Disease Surveillance · Journal article
Western Pacific Surveillance Response Journal · September 1, 2026
Early or partial results. Treat as a signal, not a conclusion.
This is a descriptive account of how field epidemiology support was deployed and adapted in one Indonesian district after major flooding and landslides in late 2025, demonstrating that core surveillance functions—including detection of typhoid, measles, and varicella—were maintained despite severe damage to 12 of 15 primary health-care centres. The report presents operational experience and qualitative evidence of feasibility but does not quantify surveillance performance, timeliness, or comparative effectiveness.
Descriptive implementation report. Health posts and facilities in Aceh Tamiang District, Aceh Province, Indonesia, disrupted by major flooding and landslides in late 2025.. Intervention: Field epidemiology support including case detection and registration, standardized disease recording, cluster verification, centralized data compilation and analysis, and coordination with laboratory and Health Emergency Operations Centre.. Aceh Tamiang District, Aceh Province, Indonesia.
Severe damage to 12 of 15 primary health-care centres and district health office; moderate damage to 2 hospitals did not prevent maintenance of core surveillance functions. Multiple outbreak-prone diseases documented, including typhoid, measles and varicella, during emergency response period. Field epidemiologist activities included standardized case detection and registration, disease recording verification, cluster verification, and centralized data compilation and analysis via Health Emergency Operations Centre.
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
This report illustrates that field epidemiology support and adapted tools (paper, mobile) can help maintain surveillance function in resource-constrained post-disaster settings, potentially informing deployment practices. However, without baseline surveillance metrics, case counts, or timeliness comparisons, the magnitude of benefit and cost-effectiveness remain undocumented.
This is a descriptive implementation report from a single district emergency response showing that field epidemiology support maintained surveillance functions post-disaster, but without comparison group, baseline metrics, or quantified outcome measures to establish effectiveness.
As stated by the source record.
Quoted from the source exactly as published.
This report illustrates that field epidemiology support and adapted tools (paper, mobile) can help maintain surveillance function in resource-constrained post-disaster settings, potentially informing deployment practices. However, without baseline surveillance metrics, case counts, or timeliness comparisons, the magnitude of benefit and cost-effectiveness remain undocumented.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Problem: Natural disasters increase the risk of communicable disease transmission while disrupting routine disease surveillance systems, leading to delayed detection of outbreaks and weakened public health decision-making during emergency responses. Context: Indonesia is vulnerable to natural hazards, and Aceh Province has experienced recurrent disasters with significant public health impacts. In late 2025, major flooding and landslides affected Aceh Tamiang District, disrupting health services. Field epidemiology support was deployed to strengthen post-disaster disease surveillance during the emergency response. Action: A field epidemiologist strengthened case detection and registration at health posts, standardized disease recording, verified suspected clusters, and established centralized data compilation, analysis and situation reporting via the Health Emergency Operations Centre. Activities were aligned with World Health Organization functions and were adapted to emergency conditions. Outcome: There was substantial disruption to routine health services, with severe damage to 12 of 15 primary health-care centres and the district health office, and moderate damage to two hospitals. Nevertheless, core surveillance functions were maintained during the emergency response, facilitating the reporting and documentation of multiple outbreak-prone diseases, including typhoid, measles and varicella. Surveillance outputs were used to inform timely risk assessment and response actions, including mobilizing laboratory surge capacity to support diagnostic activities. Discussion: Concrete actions translate field data into timely, structured public health responses. Field epidemiologists can help maintain system functionality in resource-constrained emergencies by adapting to paper and mobile tools, synthesizing fragmented data and coordinating directly with laboratory personnel for case confirmation.
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