Data files for study comparing incident cases of COVID-19 among students and staff in traditional public school districts that adopted 3 versus 6 feet of minimum distancing between students across Massachusetts after school re-opening for the 2020-2021 academic year.
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Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Nov 8, 2021
Branch-Elliman, Westyn, 2021, "Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year", https://doi.org/10.7910/DVN/K9O7KA, Harvard Dataverse, V2, UNF:6:BxbVujN8ml2z71XXFCPEVQ== [fileUNF]
Deidentified data file, listing of included districts, code, and table with location of underlying data
CID_Analysis_Code.do
Nov 8, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Stata Syntax - 7.7 KB - MD5: 6d86815adc539b259fdd76540b20806f
Analysis Code
full_data.tab
Nov 8, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Tabular Data - 935.6 KB - 43 Variables, 3754 Observations - UNF:6:/FOx/2lJjjHRVIDWN0r9DA==
Data file updated with the enrollment data released at the end of the 2020-21 school year (some district weeks were updated post-publication and these have been corrected in this data file).
ciab230_acceptedmanuscript.pdf
ciab230_acceptedmanuscript.pdf
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Adobe PDF - 609.7 KB - MD5: ebc41d5849630c6e1209f6964926bab5
Accepted but unproofed manuscript
CID_Analysis_Code.do
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Stata Syntax - 8.2 KB - MD5: 31b2caeaa26f02b2010f8c845fb28089
Statistical code for the analysis
CID_Distancingpaper_form.pdf
CID_Distancingpaper_form.pdf
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Adobe PDF - 130.4 KB - MD5: ad377a9394367cbb48c6e9bfdfa1defc
Infection control data extraction form (Microsoft forms)
Deidentified_Data.tab
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Tabular Data - 266.8 KB - 15 Variables, 3763 Observations - UNF:6:J5CEqp5AAoy+Qvr2R5TSNw==
Data file for analysis
District List.tab
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Tabular Data - 3.2 KB - 1 Variables, 251 Observations - UNF:6:bTvi+PjC6h8WTlb3AEmaiQ==
Included traditional public school districts
README.pdf
README.pdf
Apr 12, 2021 - Replication Archive for Impact of 3 versus 6 feet of distancing on incident cases of COVID-19 among students and staff in traditional public schools after re-opening for the 2020-2021 academic year
Adobe PDF - 72.5 KB - MD5: 74a59e0f8c6f575a45938f6cd4dc5e82
Description of dataset and table with links and directions for gathering underlying data
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