Background: Malaria is a serious public health issue in Pakistan. This study investigated the spatiotemporal patterns, seasonal dynamics, and molecular confirmation of malaria in District Malakand, Khyber Pakhtunkhwa, from 2011 to 2017.
Methods: Clinical data were collected from the District Headquarters Hospital over 7 y. A random sample of 120 patients from 2017 was used for microscopic and molecular identification. Spatial-temporal patterns were analysed using ArcGIS (Environmental Systems Research Institute (Esri), Redlands, California, United States). Statistical analyses were performed using SPSS (IBM Corporation, Armonk, New York, United States) and R software (R Foundation for Statistical Computing, Vienna, Austria).
Results: Of 41 863 tests, 6246 were positive, yielding an overall test positivity rate of 14.92%. Males (58.89%) were more affected than females. The highest proportion of cases was in the 1-20-y age group. The annual test positive rate declined from 32.97% in 2011 to 10.77% in 2017. Seasonally, autumn had the highest case proportion (46.73%); winter the lowest (7.09%). Spatial analysis identified Gharhi, Dargai and Haryankot as high-burden areas. Inverse distance weighting highlighted these as hotspots for potential transmission. PCR confirmed microscopy-based species identification.
Conclusions: Malaria in Malakand peaks in autumn, affecting males and individuals aged <20 y most. Neighbouring villages are at risk from hyper-endemic areas. Microscopy remains a dependable diagnostic tool here.
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