Analysing the distribution of SARS-CoV-2 infections in schools: integrating model predictions with real world observations

Dataset and analysis for:

Analysing the distribution of SARS-CoV-2 infections in schools: integrating model predictions with real world observations.Arnab Mukherjee, Sharmistha Mishra, Vijaya Kumar Murty, Swetaprovo Chaudhuri 

For any questions please contact the first author at: [e-mail]

Contents:

school_active_cases_ON.zip: Contains datasets for number of COVID-19 infections reported by public schools in Ontario on ten different dates. The data files have been created based on the raw data in the file named 'covidtesting.csv' that has also been shared.

school_active_cases_pdf.m: Matlab code to obtain PDF of secondary infections in schools for a particular date based on the datasets in  'school_active_cases_ON.zip'. To obtain PDF for different dates, the appropriate dataset needs to be loaded. Created in MATLAB R2021b.

U_jet2.m: User-defined Matlab function that is required to run the code 'gZ_code.m'. The function simulates the evolution of a simple jet/puff. Created in MATLAB R2021b.

gZ_code.m: Matlab code to obtain the analytical PDF of secondary infections due to long-range transmission, near-field transmission, or both. Created in MATLAB R2021b.

covidtesting.zip: Contains the data file 'covidtesting.csv' that reports the breakdown of COVID-19 infections in different public schools in Ontario on a daily basis. Data obtained from 'https://data.ontario.ca/dataset/summary-of-cases-in-schools/resource/dc5c8788-792f-4f91-a400-036cdf28cfe8'. Contains information licensed under the Open Government License – Ontario.

schoolrecentcovid2021_2022.zip: Contains the data file 'schoolrecentcovid2021_2022.csv' that reports the status of COVID-19 cases in Ontario, obtained from 'https://data.ontario.ca/en/dataset/status-of-covid-19-cases-in-ontario/resource/ed270bb8-340b-41f9-a7c6-e8ef587e6d11'. Contains information licensed under the Open Government License – Ontario.