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Standards for Official Statistics on Climate-Health Interactions (SOSCHI): Waterborne disease and water-related illnesses: introduction

Authors: Dzakpa, Etse Yawo; Sylla, Mouhamadou Bamba;

Standards for Official Statistics on Climate-Health Interactions (SOSCHI): Waterborne disease and water-related illnesses: introduction

Abstract

Climate change is leading to more extreme temperatures and precipitation. These changes promote the spread of certain waterborne diseases which are impacted by extreme temperatures, contamination of waterbodies through runoff, dry conditions, water scarcity, and poor sanitation. Diarrheal disease is one of the most prevalent waterborne diseases and is highly impacted by these climatic conditions. Diarrheal disease is a public health concern particularly among young children and in Sub-Saharan Africa. This topic area aims to quantify the health impacts of diarrheal disease attributable to extreme temperatures and precipitation. This is the Topic Introduction document. 

Keywords

Environmental sciences, Public health, Epidemiology, Statistics and probability, Waterborne disease, Water-related illness, Topic introduction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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