Épidémiologie : libre accès

Abstrait

Epidemiology of Waterborne Diseases is Relevant to the Classification and Prediction of River Network Ephemerality

Kenedy Jose

The hydrology and ecology of hosts, vectors, and parasites combine to determine how aquatic diseases spread, with the long-term absence of water serving as a strict lower constraint. However, the relationship between spatio-temporal patterns of hydrological ephemerality and the spread of waterborne diseases is unclear and challenging to explain. To describe, categorise, and predict river network ephemerality in a spatially explicit framework, it is consequently necessary to use restricted biophysical and hydroclimate data from places with otherwise sparse data. Here, we create a brand-new method for classifying and predicting large-scale ephemerality that is applicable to epidemiology, maintains a mechanistic connection to catchment hydrologic processes, and is based on monthly discharge data, water and energy availability, and remote-sensing measures of vegetation. In particular, in light of the background of we extract a useful collection of catchment covariates from Burkina Faso in sub-Saharan Africa, including the aridity index, Budyko framework annual runoff estimation, and hysteretical relationships between precipitation and vegetation.