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Replication Data for: Epidemiology of COVID-19 infections on routine PCR and serology testing in Coastal Kenya

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication Data for: Epidemiology of COVID-19 infections on routine PCR and serology testing in Coastal Kenya
 
Identifier https://doi.org/10.7910/DVN/BF3BEF
 
Creator Nyagwange, James
Ndwiga, Leonard
Muteru, Kelvin
Wamae, Kevin
Tuju, James
COVID testing team
Kutima, Bernadette
Gitonga, John
Karanja, Henry
Mugo, Daisy
Kasera, Kadondi
Amoth, Patrick
Murunga, Nickson
Babu, Lawrence
Otieno, Edward
Githinji, George
Nokes, James
Tsofa, Benjamin
Orindi, Benedict
Barasa, Edwine
Warimwe, George
Agoti, Charles N.
Bejon, Philip
Ochola-Oyier, Lynette Isabella
 
Publisher Harvard Dataverse
 
Description

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection began in Wuhan, China in December 2019 and rapidly spread around the world causing a disease called the Corona virus disease 2019 (COVID-19). The first case of COVID-19 was detected in the Kenyan Coast in 21st March 2020. Since then KEMRI-Wellcome Trust Research Programme has been the main testing site for the Coastal part of Kenya. Prior to testing, each participant was required to fill a case investigation form (CIF) which was later used in generating our datasets. The first dataset: 1) "Combined_Covid_EpiDataset" contains the characteristics of each of the 100665 cases and has been used to describe the Epidemiology of SARS-CoV-2 infections by describing the age, gender, prevalence of infections and the proportion of symptomatic and asymptomatic cases. The second dataset: "Covid_serodataset" containing 2458 observations was used to describe monthly Sero-epidemiology of individuals who were either SARS-CoV-2 positive or negative at the time of testing. Note: this dataset contains counties that are outside the Coastal part of Kenya which have been filtered off in the code


 
Subject Medicine, Health and Life Sciences
Asymptomatic
symptomatic
serology
serostatus
seroprevalence
 
Contributor Nyagwange, James