Understanding climate change and the associated impacts on human health and wellbeing is one of the major intractable challenges facing planning departments, policy makers and health researchers in the coming decades. Novel approaches such as data science techniques which use routine and big data sources will be critical in supporting this area of enquiry to evaluate the effect of climate change in communities.
Through our Implementation Network for Sharing Population Information from Research Entities (INSPIRE), we have access to African population health data from 11 Health Demographic and Surveillance Sites (HDSS). These data contain demographic vital registration outcomes such as births, Death and mortality collected over 10 years in rural and urban African communities. As part of the INSPIRE data standardization and governance, all HDSS data are transformed into the INSPIRE OMOP Common Data Model (CDM) to allow systematic analyses using common terminologies, vocabularies and coding schemes.