ENVIDSTAT is a real-time data providing web app which will help the users to take precautions for the novel coronavirus by using the weather statistics. It is easily accessible and comprehensible by anyone. From this web app,real-time user can easily see the risk predictions of stepping out. Here, real time environmental data like temperature, wind-speed has been used to predict the risk of spreading of the virus to that region. Moreover, the web apENVIDSTAT is a real-time data providing web app which will help the users to take precautions for the novel coronavirus by using the weather statistics. It is easily accessible and comprehensible by anyone. From this web app, users can easily see the risk predictions of stepping out. Here, real-time environmental data like temperature, wind-speed has been used to predict the risk of spreading of the virus to that region. Moreover, havethe web app has successfully derived positive correlations between environmental data and the number of infected cases. However, to develop better surveillance the web app can be integrated into a regional or country wise map,so that it can be used as inputs and give outputs as visualized data. Through the web app, rate of infections, and the risk of spreading of the virus predictions can be done for the people living or traveling to that particular area. From some studies it has been found that, by the increasing temperature ,COVID-19 cases increases to a certain level and then starts to decrease. Whereas, another study shows that a positive correlation has been found between virus spread and wind speed. Although, COVID-19 is not an airborne virus it shows some changes in its spreading for the change of wind speed. As the web app measures the risk of spreading of the virus, necessary precautions can be done to the risky regions for the safety of the people. In conclusion, the team is working more with the data in order to update the web app to ensure more reliable predictions using more parameters.
Covid-19 has become a major problem as people are not totally aware and conscious about covid-19 around the world. Still many people in under developing country are not thinking this as a serious issue. For this reason, we planned to make a web-app which can be used with low storage and gather all kind of data with predicted risk level for customer’s location. EnviState = Environment + Covid + Statistics MAKE INFORMED DECISIONS OF GOING OUTSIDE. EnviState is a web-app which uses real time weather data (Temperature and Wind speed) to predict vulnerability of corona attack in a particular location and visualize those datas. With this now you get to know whether it's safe for you to go outdoors and helps you to make informed decision. However, ENDSTATE will access ones location with his/her permission and will let him/her know present condition of the city and predicted condition and risk level surrounding his/her. Therefore, mapping system will let everyone search data and see condition of any country. Furthermore, we need to add some more features to our app and we will be done with all these features immediately.
Background Theory
Temperature found positive with virus spreading
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4177797/
Airquality found positive with the virus spreading
https://airqualitynews.com/2020/04/09/why-air-pollution-is-linked-to-a-faster-spread-of-coronavirus/
https://aem.asm.org/content/aem/85/6/e02426-18.full.pdf
https://aem.asm.org/content/aem/early/2019/01/03/AEM.02426-18.full.pdf
Air quality
Weather and covid 19:
https://reader.elsevier.com/reader/sd/pii/S0048969720319495?token=45404D6CFD453571D14FB58A4CA40E5280BEFE6DE014FE3D8F16F3AC4D154522234FD65D100547026C335F9D529025DB
Dataset and API call
https://api.nasa.gov/
https://www.ncdc.noaa.gov/cdo-web/datasets/GHCND/locations/FIPS:FR/detail
https://github.com/nychealth/coronavirus-data
https://api.covid19api.com/summary
https://api.covid19api.com/all
https://rapidapi.com/community/api/open-weather-map?endpoint=53aa6043e4b0a705fcc32c1d
https://covidtracking.com/data#state-wa
https://dw.euro.who.int/api/v3/countries