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Modelling Salmonella Typhi in high-density urban Blantyre neighbourhood, Malawi, using point pattern methods
Jessie J Khaki1,2,3, James E Meiring4, Deus Thindwa5
1The Centre for Health Informatics, Computing, and Statistics (CHICAS), Lancaster University, Lancaster, UK. jessiekhaki@gmail.com.
This study modeled typhoid fever risk in Blantyre, finding cases clustered spatially. Improved water, sanitation, and hygiene (WASH) significantly reduced typhoid incidence, particularly in children.
Area of Science:
- Epidemiology
- Spatial statistics
- Public health
Background:
- Salmonella Typhi causes typhoid fever, transmitted via the faecal-oral route.
- Understanding spatial risk factors is crucial for targeted typhoid fever interventions.
- Previous studies have not fully explored spatial variations in typhoid risk within specific communities.
Purpose of the Study:
- To model the spatial variation in typhoid fever risk in Ndirande township, Blantyre.
- To identify individual-level and environmental factors associated with typhoid fever incidence.
- To assess the impact of Water, Sanitation, and Hygiene (WASH) improvements on typhoid risk.
Main Methods:
- Utilized health facility data from 2016 to 2020.
- Developed a marked inhomogeneous Poisson process model.
- Incorporated individual and environmental risk factors into the spatial model.
Main Results:
- Typhoid fever cases exhibited significant spatial clustering.
- A unit increase in the Water, Sanitation, and Hygiene (WASH) score was associated with a 54% decrease in typhoid incidence.
- Typhoid fever intensity was higher in children under 18 compared to adults.
- No strong evidence of temporal variation in typhoid incidence was found.
Conclusions:
- Point pattern models are effective for characterizing spatial variations in disease risk.
- Improving WASH conditions is a critical strategy for reducing typhoid fever burden.
- Spatial analysis highlights vulnerable populations, such as children, for targeted public health efforts.
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