Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of COVID-19. With limited resources, innovative methods to track disease, population needs, and current health and social service provision are essential. One approach of interest is the implementation and integration of mapping software. This approach develops multi-layered interactive maps to demonstrate relationships between socio-economic and health data. Paediatric vaccination uptake and readmission rates are used as an example; however, the wider application of this method is not limited to these sets of health data. This approach aims to improve the interpretation and accessibility of data by creating a simple visual model with little need for additional technical experience beyond the guidance of the protocol.
This is a list of supplementary files associated with this preprint. Click to download.
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Posted 25 Mar, 2021
Posted 25 Mar, 2021
Understanding the impact of socio-economic inequality on health outcomes is arguably more relevant than ever before given the global repercussions of COVID-19. With limited resources, innovative methods to track disease, population needs, and current health and social service provision are essential. One approach of interest is the implementation and integration of mapping software. This approach develops multi-layered interactive maps to demonstrate relationships between socio-economic and health data. Paediatric vaccination uptake and readmission rates are used as an example; however, the wider application of this method is not limited to these sets of health data. This approach aims to improve the interpretation and accessibility of data by creating a simple visual model with little need for additional technical experience beyond the guidance of the protocol.
This is a list of supplementary files associated with this preprint. Click to download.
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