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IsraelGeoHealth/NGA_CLIMATE_HEALTH_MODEL

Domaine:

climategeospatialhealthcare

Type de record:

dataset
Créateur:
Isr
Hôte:
Climate–Health Vulnerability Index (CHVI) for Nigeria: a reproducible GIS-based research framework for investigating climate-health vulnerability through the integration of climate hazards, population exposure, healthcare accessibility, transportation accessibility, settlement morphology, and adaptive capacity indicators. # Climate–Health Vulnerability Index (CHVI) Repository for Nigeria ## Repository Information **Author:** Oni Israel Oluwabusayo **Project:** Climate–Health Vulnerability Index (CHVI) for Nigeria **Repository Status:** Audited, Documented, and Publication Ready **Version:** Final Repository Release --- # Project Overview This repository contains the complete analytical framework, datasets, metadata, scripts, cartographic products, and publication outputs developed for the Climate–Health Vulnerability Index (CHVI) assessment of Nigeria. The repository integrates climate hazards, population exposure, settlement characteristics, healthcare accessibility, transportation accessibility, and environmental indicators to evaluate spatial patterns of climate-health vulnerability across Nigeria. The repository has undergone metadata validation, repository auditing, duplicate consolidation, workflow archiving, structural quality control, and repository harmonization to ensure reproducibility and publication readiness. --- # Research Context and Significance Climate change poses increasing risks to human health through its influence on rainfall variability, extreme weather events, environmental conditions, and access to critical infrastructure and services. Across many developing countries, including Nigeria, these risks are compounded by rapid population growth, expanding settlement systems, uneven healthcare access, and varying levels of adaptive capacity. Despite growing recognition of climate-related health risks, comprehensive national-scale assessments that integrate climate hazards, population exposure, sensitivity factors, and adaptive capacity within a unified analytical framework remain limited. Existing studies frequently focus on individual hazards, specific regions, or isolated vulnerability dimensions, limiting their usefulness for national planning and decision-making. This repository addresses this gap through the development of a Climate-Health V …

Visit

github.com

Tags

chirpsclimate-changeclimate-healthclimate-riskgeospatial-analysisgisgrid3nigeriapublic-healthpython+3