High-Level Project Summary
In our project, we have created a calculator that allows you to calculate the risk of infection with the SARS-CoV-2 virus.For the calculations, we used data provided by national goverment on the daily number of infections in the population and the population density.Additional factors that we took into account are the season of the year, gender, social distance, the use of the mask and its class, as well as life in highly populated environments, the number of household members, the use of disinfectants, and contact with an infected person.We want people using our application to understand how their behavior may affect the risk of coronavirus infection.
Link to Project "Demo"
Link to Final Project
Detailed Project Description
We have written an application that shows the risk of contracting the coronavirus. The application is based on this formula:
W = ( b/n A+G+m+c+s+k+L+h+e+t)/t.
Where:
b - number of infection in a specific country,
n – population in a specific country,
A – social distance,
G – gender,
m – wearing mask,
c – contact with infected,
s – infected household member,
k – frequency of interactions with people,
L – how big is city,
h – how many is households,
e – season,
t – time(last 24 hours).
One benefit is that we can check a risk of contracting the coronavirus for example in my country. We want to people know what risk is in his cities. To create this app we used visual studio code, expo go app on iOS and Android, Git and Github. We wrote this app in two languages node js and react native.
Space Agency Data
In the project, we used a lot of information from scientific services and space agency services, including NASA. Data Regarding the infectious effect of the coronavirus, we used data from analyzes and graphs of various scientific observations. In addition, we used accurate data to determine how a particular agent increases contagiousness while increasing the end result of the likelihood of contamination. We also averaged the covid information set by taking data tables of infected cities against rural areas.
Hackathon Journey
We didn't have any qualifications or skills when we started the challenge. We learned to write applications using React native and doing internet research. By reviewing all available challenges available on the Space Apps Challenge. We decided to choose Covid-19: Calculate The Risk. We chose this Challenge because we decided that it has the largest database of information available online and the topic is still relevant.
Our approach to this project was extremely high from the very beginning, we devoted a maximum of our time to make the finished project credible and interesting.
Nevertheless, our team managed to cope with the challenges. It was not easy and sometimes it cost a lot of nerves, but what to learn from? than from mistakes.
We would like to thank our physics teacher who's helped us morally and encouraged us all the time time.
We thank Mrs. Jolanta Wilkowska.
References
- Visual Studio Code
- Node js
- Expo Go App on iOS
- Expo App on Android
- React Native
- Git & Github
https://github.com/CSSEGISandData/COVID-19 - COVID-19 Data Repository by the Center for Systems Science and Engineering
https://www.fuw.edu.pl/~jarekz/MODELOWANIE/modele_epidemii.pdf - Model SIR, epidemic models
https://rzeszow.uw.gov.pl/wp-content/uploads/2017/08/Definicje-i-metody-obliczen.pdf - morbidity / mortality rate
https://www.researchgate.net/profile/Beata-Tokarz-Deptula/publication/341250835_Wybrane_dane_na_temat_zakazen_koronawirusami_ze_szczegolnym_uwzglednieniem_SARS-CoV-2/links/5eb560d992851cd50da1d2e6/Wybrane-dane-na-temat-zakazen-koronawirusami-ze-szczegolnym-uwzglednieniem-SARS-CoV-2.pdf - Selected data on the subject of Coronaviruses with special emphasis on SARS-CoV-2
https://kiszka.science/pdf/og_covid.pdf - COVID-19 and the flu
https://gh.bmj.com/content/5/5/e002794- Reduction of secondary transmission of SARS-CoV-2 in households by face mask use, disinfection and social distancing
https://gh.bmj.com/search/covid%252Binfect%252B%20jcode%3Abmjgh?page=1 - Collection of scholarly writings on covid
https://gh.bmj.com/content/6/9/e005427 - Characterising long COVID: a living systematic review
https://covid.cdc.gov/covid-data-tracker/#demographicsovertime - Covid Data Tracer
Impact of the wind conditions on COVID-19 pandemic: A new insight for direction of the spread of the virus (nih.gov) - Impact of the wind conditions on COVID-19 pandemic
https://earth.jaxa.jp/covid19/en.html - Covid - 19 Monitoring for earth
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7793668/ - effect of temperature on the spread of covid
Tags
#js #Covid #Teamwork #Risk #Calculations #Estimation #Odds
Global Judging
This project has been submitted for consideration during the Judging process.