biostudies-literatureUnknown25(1)Haq IUDeanship of Scientific Research, King Faisal University<h4>Background</h4>Malaria remains a significant public health challenge, particularly in the Khyber Pakhtunkhwa (KP) province, where transmission patterns vary across districts. This study aimed to identify the determinants of malaria transmission using model selection techniques.<h4>Methods</h4>A cross-sectional study was conducted among general population across various districts in KP, including northern, central, and southern zones. A total of 768 participants across the province were surveyed using a structured questionnaire having socio-demographic variables, housing conditions, access to healthcare, and preventive practices. Malaria infection was diagnosed using the combo rapid diagnostic test. Logistic regression models, including automated model selection techniques, were employeMalaria journal102https://www.ebi.ac.uk/biostudies/studies/S-EPMC12911161biostudies-literatureDeterminants of malaria infection across different districts of Khyber Pakhtunkhwa, Pakistan: a cross-sectional study.PMC12911161Qu SHaq IUKhan GAMehmood ZAkhtar SAboagarib EAAMuhammad AAhmed SAMHuwaikem MAlbugami HFAhmed BZaib AfalseDeterminants of malaria infection across different districts of Khyber Pakhtunkhwa, Pakistan: a cross-sectional study.<h4>Background</h4>Malaria remains a significant public health challenge, particularly in the Khyber Pakhtunkhwa (KP) province, where transmission patterns vary across districts. This study aimed to identify the determinants of malaria transmission using model selection techniques.<h4>Methods</h4>A cross-sectional study was conducted among general population across various districts in KP, including northern, central, and southern zones. A total of 768 participants across the province were surveyed using a structured questionnaire having socio-demographic variables, housing conditions, access to healthcare, and preventive practices. Malaria infection was diagnosed using the combo rapid diagnostic test. Logistic regression models, including automated model selection techniques, were employe2026-01-01T00:00:00Z2026 Jan2026-07-16T00:31:53.252Z2026-07-09T13:09:44.538ZS-EPMC129111614158079710.1186/s12936-025-05731-w