Bppimt_coders| Where There’s a Link, There’s a Way

Where There’s a Link, There’s a Way

Since the COVID-19 pandemic began, there has been a proliferation of websites and portals developed to share resources about the topic. Your challenge is to find innovative ways to present and analyze integrated, real-time information about the environmental factors affecting the spread of COVID-19.

Enviroment Factors on Covid-19

Summary

We are trying to get the important factors of our enviroment which are responsible for the spread of covid-19. In this project we shows as a output different enviroment factors like humidity ,temparature,wind speed,precipitation of a different country as well as region.We put graphs like temparature vs covid19 confirmed cases, humidity vs covid19 confirmed cases for different countries.dentify the factors like time,enviroment,population,adaptation for which covid19 spreads .

How We Addressed This Challenge

Challenge is  to identify how which enviroment factors effects the spread of covid19.

In this project we exactly do the same things and identify the essential enviromental factors .

Plot graphs and charts and make the prediction which region is in risk due to their enviroment.

  • Using the graphs and chart we can identify that at which enviromental condition convid19 spreads .Example,In this study we found that areas with significant community transmission of COVID-19 had distribution roughly  at consistently similar weather patterns consisting of average temperatures of 45 F to 75 F etc.
  • Get the current humidity,temparature,precipitation,windspeed of a particular country or region.
  • Identify the factors like time,enviroment,population,adaptation for which covid19 spreads and compare it to the other country.
How We Developed This Project

1.Data Gathering: NASA Resources, EPI data, Meteomatics Weather API

2.Data Cleaning: Handle missing values, log transformation, normalization, outlier handling

3.EDA and Feature Engineering:  We  considered - WRS, HMT, AGR,  FRT, HLT, FSH, Humidity, Temperature,  Population, Infant mortality and Literacy.

4.We divided the confirmed cases and deaths into 5 categories and performed Non-Linear Classification.

5.hence, what we get is that if not all but few parameters of the  environment has links with COVID 19 and we can consider these parameters  while taking decisions.

link:

https://bppcov19.herokuapp.com/

Project Demo

https://www.slideshare.net/TithiPurkait/covid-19-ppt-1

Project Code
Data & Resources

https://earthdata.nasa.gov/collaborate/cloud-optimized-geotiffs

https://www.who.int/emergencies/diseases/novel-coronavirus-2019?gclid=EAIaIQobChMIxLKI3ru06QIVBkqGCh24igGYEAAYASAAEgIrjvD_BwE

Tags
#data analusis and prediction
Global Judging
This project was submitted for consideration during the Space Apps Global Judging process.