COVID-19 Climate Transmissivity PREDICT Index

The postillons and aerosols that we emit when we talk or breathe are among the main vectors of coronavirus transmission. Once expelled into the air, the evolution of these aerosols depends heavily on local weather conditions. If it is very hot and dry the droplets evaporate, while if it is hot and humid the droplets quickly fall to the ground. In both cases, the time of presence in the air is reduced. If it is particularly cold, the air tends to dry up, limiting the water content that can facilitate the transport of the virus. There is therefore a very special area of temperature and humidity allowing aerosols to stay in air for longer and thus contribute to the transmission of the virus. To estimate the likelihood that these aerosols/drips remain suspended in the air, PREDICT Services has developed the PREDICT Index for Climate Transmissivity of COVID-19 (IPTCC). [IPTCC colorimetric code according to relative humidity and air temperature](https://user-images.githubusercontent.com/946315/116131791-1e318380-a6cd-11eb-8b96-8653f6acebe0.png “IPTCC colorimetric code based on relative humidity and air temperature”) This index describes one of the known forms of virus spread to date. However, other explanatory mechanisms and contextual parameters must also be taken into account, such as population density, compliance with distancing rules and the number of infected individuals... Although they can promote transmission, local weather conditions do not alone justify the spread of the virus, and all barriers must be maintained. For more information see the [article of PREDICT Services](https://www.sciencedirect.com/science/article/pii/S1279847921000021?via%3Dihub) on the journal “Castrophic Medicine” The data is arranged in a csv file with a “;” separator like this: 1. STATION: Weather France reference station code, e.g.: 01089001 2. NAME: Name of weather station Weather France reference, e.g.: AMBERIEU 3. LATITUDE: Graduated in decimal format, e.g.: 45,976388 4. LONGITUDE: Graduated in decimal format, e.g.: 5,329166 5. DEPARTMENT CODE: Code of the department to which the station belongs, e.g.: 01 6. DEPARTMENT: Name of the department to which the station belongs, e.g.: AIN 7. CODE REGION: Code of the region to which the station belongs, e.g.: 84 8. REGION: Name of the region to which the station belongs, e.g.: AUVERGNE RHONE ALPES 9. DATE: ISO 8601 format (YYYY-MM-DD), e.g.: 2021-04-26 10. IPTCC: IPTCC digital data between 0 and 100 The uploaded file is updated every working day.