datasets.zip - Invasive Bacterial Disease Research Group Dataverse

datasets.zip

This file is part of "Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study".

Version 1.0

File Citation

Otiende, Mark; Nyaguara, Amek; Bottomley, Christian; Walumbe, David; Mochamah, George; Amadi, David; Nyundo, Christopher; Kagucia, Eunice; Etyang, Anthony; Adetifa, Ifedayo; Brand, Sam; Maitha, Eric; Chondo, Elwyn; Nzomo, Eddy; Aman, Rashid; Mwangangi, Mercy; Amoth, Patrick; Kasera, Kadondi; Ng'ang'a, Wangari; Barasa,Edwin; Tsofa, Benjamin; Mwangangi, Joseph; Bejon, Philip; Agweyu, Ambrose; Williams, Thomas N.; J. Anthony G. Scott, 2023, "Replication Data for: Impact of COVID-19 on mortality in coastal Kenya: a longitudinal open cohort study", https://doi.org/10.7910/DVN/HAGRAK, Harvard Dataverse, V1; datasets.zip [fileName]

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Creative Commons Attribution 4.0 International License. CC BY 4.0

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File Tags	Datacsv & .Rdata
MD5	0b76515dbf2c9238bddc040e3285ff65
Deposit Date	2023-03-31
Metadata Release Date	2023-03-31
Publication Date	2023-03-31
Size	90.0 KB
Type	ZIP Archive
Description	1. “excess_mort.csv” - aggregated data of deaths and person years by year, month; 2. “excess_mort_by_age.csv” - aggregated data of deaths and person years by year, month, age; 3. “excess_mort_est_age_sex.csv” - aggregated data of deaths and person years by year, month, age group, sex; 4. “VA_analysis.csv.csv” - aggregated data of cause of death and person years by year and age group

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Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

Creative Commons Attribution 4.0 International License. CC BY 4.0

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