A Data Descriptor for Assessing Health System Preparedness for Climate-Sensitive Arboviruses and Malaria in Lusaka, Zambia (2021–2026)

This Data Descriptor presents a curated, multi-source dataset compiled to assess health system preparedness for climate-sensitive arboviruses and malaria in Lusaka, Zambia. The dataset spans the period 2021–2023 and is designed to address the critical gap in integrated, sub-national readiness assessments for these diseases in sub-Saharan Africa. It systematically combines three primary data streams: anonymised clinical surveillance records for dengue, chikungunya, and malaria from three major public health facilities; corresponding sub-district level meteorological variables (daily temperature, precipitation, humidity); and health facility readiness survey data collected using standardised WHO instruments. The geospatial linkage methodology employed a common projection system (WGS 84) within a GIS software environment to integrate health and climate data by administrative unit and date. All data underwent a rigorous cleaning and validation protocol. The dataset is publicly available in the [Repository Name] under accession number [XXXX] and comprises three core files in CSV format, each described by a comprehensive data dictionary. This structured resource provides an essential evidence base for modelling climate-disease linkages, evaluating health system preparedness, and prioritising interventions, thereby offering a replicable framework for urban health system resilience planning.