ArticleConflict and health2023
Usefulness of disease surveillance data in enhanced early warning of the cholera outbreak in Southwest Cameroon, 2018.
Article in Conflict and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 4 citations in OpenAlex.
- SEIR+D epidemic modeling of infectious disease dynamics in Ebolowa, South Region, Republic of Cameroon.Frontiers in public health · 2026Article
- Integrating DHIS2 and R for Enhanced Cholera Surveillance in Lebanon: A Case Study on Improving Data Quality.International journal of environmental research and public health · 2025Article
- Outbreak of cholera in the Southwest region of Cameroon, 2021-22: an epidemiological investigation.BMC public health · 2024Article
- Electronic oral health surveillance system for Egyptian preschoolers using District Health Information System (DHIS2): design description and time motion study.BMC oral health · 2024Article
- Knowledge attributes of public health management information systems used in health emergencies: a scoping review.Frontiers in public health · 2024Article
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Authors and funding
4 authors at 3 institutions in 3 countries.
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No grant is acknowledged in the PubMed record.
Abstract
introductionThis study assessed the timeliness and completeness of disease surveillance data for early warning of the cholera outbreak during the socio-political crisis of Southwest Cameroon in 2018. It determined how routine integrated disease surveillance and response (IDSR) data was used for preventative actions and the challenges faced by key health staff in IDSR based decision-making.
methodsThis was a mixed-methods study conducted from June 1st to September 30th 2021. District Health Information System 2 (DHIS2) data from January 2018 to December 2020 for the Southwest region of Cameroon were analysed using simple linear regression on EPI Info 7.2 to determine a potential association of the sociopolitical crisis with timeliness and completeness of data. Qualitative data generated through in-depth interviews of key informants were coded and analyzed using NVivo 12.
resultsDuring high conflict intensity (2018 and 2019), average data timeliness and completeness were 16.3% and 67.2%, respectively, increasing to 40.7% and 80.2%, respectively, in 2020 when the conflict intensity had reduced. There was a statistically significant weak correlation between reduced conflict intensity and increased data timeliness (R
conclusionIn general, routine IDSR data was not a reliable way of providing early warning of the 2018 cholera outbreak because of incomplete and late reports. Nonetheless, reduced conflict intensity correlated with increased timeliness and completeness of data reporting. The IDSR was substantially challenged during the crisis, and erroneous data generated by the DHIS 2 significantly undermined the efforts and resources invested to control the outbreak. The Ministry of Public Health should reinforce efforts to build a reporting system that produces people-centered actionable data that engages health risk management during socio-political crises.
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