District level weekly surveillance data on notifiable infectious diseases in Khyber Pakhtunkhwa Pakistan from 2023 to 2026
Year: 2026
Type: preprint
Abstract: This article presents a structured, long-format panel dataset of district-week notifiable infectious disease case counts for Khyber Pakhtunkhwa (KP) province, Pakistan, covering 164 weekly epidemiological bulletins published between April 2023 and July 2026. The data were extracted from Table 4 of the National Institute of Health (NIH) Pakistan Integrated Disease Surveillance and Response (IDSR) weekly Public Health Bulletins, which reports district-level case counts for the most frequently reported notifiable conditions in KP each week. The dataset comprises 59,824 district-week-condition observations spanning 44 canonical district- and sub-division-level reporting units and 16 distinct notifiable conditions. Six conditions — acute diarrhoea (non-cholera), malaria, influenza-like illness, acute lower respiratory infection in children under five, bloody diarrhoea, and typhoid — are reported in all 164 bulletins. Ten further conditions appear only in a subset of weeks, because the non-core columns of the source table rotate according to that week’s case volume: from 2023 week 32 onward the table reports the highest-ranking conditions by provincial case total rather than a fixed set, producing 106 distinct column orderings across the corpus. The dataset documents this rotating-column structure explicitly, and is accompanied by a time-scoped district-name crosswalk resolving administrative-boundary changes over the study period — including one reporting label whose underlying geography is redefined mid-series — a week-by-week column-order log, a condition presence matrix, and machine-readable flags for identified source-side data-quality issues. No comparable structured, validated dataset derived from Pakistan’s national disease surveillance bulletins is currently available in the public domain.
Source: Research Square
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7225035072