armed conflict epidemiology methodology spatial

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Using remote sensing and spatial modelling to managing health emergencies.Ĭovid-19 Information system (GIS) Risk map Spatial model Syria.Anticipating the spread of risk in armed conflict zones.Identify areas vulnerable to the Covid-19 pandemic.A risk map was then created from this data developed for the north-west of Syria, an area where there has been intense fighting for several years. This index was calculated based on several factors and by using spatial data. In this paper, we present the Risk of Vulnerability to COVID-19 in War Zones Index 'Id_Covid19_WZ'.

To achieve these objectives, geographic information technologies, remote sensing and spatial modelling currently offer new potential for anticipating the spread of risk in armed conflict zones and better managing health or natural emergencies. It may also assist in the preparation of health infrastructures and the development of strategies to manage such infrastructures as this pandemic, which affects the whole world and has created chaos in fragile states, is causing significant problems in armed conflict zones. In the context of the Covid-19 pandemic, a method for identifying and mapping vulnerable areas in an armed conflict zone seems necessary to limit the risk and anticipate the spread of contamination.

Armed conflict epidemiology methodology spatial