Role of surveillance data in detecting malaria outbreaks in an epidemic-prone region in Kenya: findings from an investigation of a suspected outbreak in Nandi County

The increase in malaria cases in Nandi County displayed a seasonal pattern that coincided with either the long or short rainy seasons, the investigation did not reveal an active outbreak at the time of the inquiry. Sub-county hospitals in Tinderet and Aldai sub-counties had malaria cases exceeding both the alert and action thresholds at specific times during the year under review, suggesting a potential occurrence of unidentified outbreaks, while several other facilities had an increase of cases reaching alert thresholds, indicating upsurges. In healthcare settings, we noted there were problems with data quality. We advised routine data review, analysis, and feedback; mentorships for data analysis and on the job and support supervision; mentorships for malaria diagnosis; and installation of laboratory quality assurance.

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Publication Details

Journal
Malaria Journal
Published
2024-12-18
DOI
https://doi.org/10.1186/s12936-024-05216-2
Citations
3
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
1.63
Controls
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article

Role of surveillance data in detecting malaria outbreaks in an epidemic-prone region in Kenya: findings from an investigation of a suspected outbreak in Nandi County

Fredrick Odhiambo, Maurice Owiny, Elvis Oyugi, Clara Muyaku Andala et al.
3 citations
Malaria Journal
Malaria Research and Control
1.63
article

Role of surveillance data in detecting malaria outbreaks in an epidemic-prone region in Kenya: findings from an investigation of a suspected outbreak in Nandi County

Fredrick Odhiambo, Maurice Owiny, Elvis Oyugi, Clara Muyaku Andala, Geoffrey Githinji, James H. Sang, Daniel Chepkwony, Japhet Ruto
article en
3 citations

Abstract

The increase in malaria cases in Nandi County displayed a seasonal pattern that coincided with either the long or short rainy seasons, the investigation did not reveal an active outbreak at the time of the inquiry. Sub-county hospitals in Tinderet and Aldai sub-counties had malaria cases exceeding both the alert and action thresholds at specific times during the year under review, suggesting a potential occurrence of unidentified outbreaks, while several other facilities had an increase of cases reaching alert thresholds, indicating upsurges. In healthcare settings, we noted there were problems with data quality. We advised routine data review, analysis, and feedback; mentorships for data analysis and on the job and support supervision; mentorships for malaria diagnosis; and installation of laboratory quality assurance.

Malaria JournalVol. 23(1)
Kaimosi Friends University (KE), Ministry of Health (KE), LVCT Health (KE), Masinde Muliro University of Science and Technology (KE), Great Lakes University of Kisumu (KE)
Good health and well-being
Openalex Percentile: Top 14%
Malaria Research and Control
1.63
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Role of surveillance data in detecting malaria outbreaks in an epidemic-prone region in Kenya: findings from an investigation of a suspected outbreak in Nandi County — Fredrick Odhiambo, Maurice Owiny, et al. · Malaria Journal (2024) | TGRS Research Map | TGRS