Detecting Malaria Outbreaks in Kenya
Author Information
Author(s): Githinji Geoffrey Kongo, Odhiambo Fredrick Ouma, Andala Clara Muyaku, Chepkwony Daniel, Sang James Kibet, Owiny Maurice, Ruto Japhet, Oyugi Elvis Omondi, Odhiambo Fredrick
Primary Institution: Kakamega County Department of Health, Kakamega, Kenya
Hypothesis
Can surveillance data effectively detect malaria outbreaks in Nandi County, Kenya?
Conclusion
The investigation found that while there was an increase in malaria cases, it did not reveal an active outbreak at the time of the inquiry.
Supporting Evidence
- Surveillance data showed a 288% increase in malaria cases in Nandi County between January and May 2021.
- Of the 19,498 tested, 2,662 tested positive for malaria, resulting in a test positivity rate of 13.7%.
- Data quality assessment revealed that data completeness was 77% and timeliness was 93%.
Takeaway
The study looked at how well health facilities in Kenya can track malaria cases. They found that even though more people were getting sick, it didn't mean there was a big outbreak happening.
Methodology
The study used a mixed-method approach, including a retrospective review of health facility records and key informant interviews with healthcare workers.
Potential Biases
Potential biases include over-reporting and under-reporting of malaria cases in health facility records.
Limitations
The study faced limitations in data quality and completeness, which could affect the reliability of malaria case burden estimates.
Participant Demographics
The majority of cases were females (61%), with a significant number of cases in the 15-24 age group.
Digital Object Identifier (DOI)
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