The Viral Epidemiology and Control (VEC) Data Repository contains data collections produced by the VEC Group of researchers for public access and use. The group is affiliated to the Kemri Wellcome Trust Research Programme and Wellcome Trust. Each dataset has a citation and DOI, facilitating attribution and connection to research publications. Currently, the VEC Data Repository operates on the Dataverse repository software platform. More information about the benefits of preserving, archiving and sharing data can be found here. For information about the VEC Data Archive, please email us at virec.group@gmail.com or visit our website http://virec-group.org/ to know more about our research.
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1 to 10 of 598 Results
Replication Data for: Emergence and transmission dynamics of the FY.4 Omicron Subvariant
Apr 3, 2025
Musundi, Sebastian, 2024, "Replication Data for: Emergence and transmission dynamics of the FY.4 Omicron Subvariant", https://doi.org/10.7910/DVN/VPWUXN, Harvard Dataverse, V2
This is a replication dataset for the manuscript titled: "Emergence and transmission dynamics of the FY.4 Omicron Subvariant ". SARS-CoV-2 FY.4 sequences previously sequenced from KEMRI-Wellcome Trust Research Programme were retrieved together with other FY.4 global sequences sourced from Global Initiative on Sharing All Influenza Data (GISAID).Phy...
Data.zip
Apr 3, 2025 - Replication Data for: Emergence and transmission dynamics of the FY.4 Omicron Subvariant
ZIP Archive - 17.9 MB - MD5: 940a01e8ce1ead22771a6e4ed2b240ad
Data
READme.txt
Apr 3, 2025 - Replication Data for: Emergence and transmission dynamics of the FY.4 Omicron Subvariant
Plain Text - 5.2 KB - MD5: 7bff8f0407e244abc0c57e808b4688d7
DocumentationReadme
Script.zip
Apr 3, 2025 - Replication Data for: Emergence and transmission dynamics of the FY.4 Omicron Subvariant
ZIP Archive - 15.6 KB - MD5: a634e724926047eaec80dea6b4a5d7b5
Code
Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Jan 22, 2025
Lambisia, Arnold W.; Katama, Esther N.; Ochola-Oyier, Isabella; Agoti, Charles N., 2025, "Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24", https://doi.org/10.7910/DVN/BMCJTI, Harvard Dataverse, V1, UNF:6:+Fycv3F2m7MyWKQZrmgbBw== [fileUNF]
This is a replication dataset for the manuscript titled: "Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24." The datasets are part of ongoing SARS-CoV-2 surveillance either in the outpatient, inpatient and community within the KHDSS in coastal Kenya. Dataset1 shows the temporal distribution o...
Data1.tab
Jan 22, 2025 - Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Tabular Data - 2.2 KB - 6 Variables, 70 Observations - UNF:6:1U6f60FeCsKSdtry5rQlyw==
csv fileData
Data2_v2.tab
Jan 22, 2025 - Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Tabular Data - 41.2 KB - 25 Variables, 247 Observations - UNF:6:ji0e+r04uRgUUoEKTTc2eA==
csv fileData
Fig1.R
Jan 22, 2025 - Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
R Syntax - 5.5 KB - MD5: 175667c027a9b03860ac9b39981aa332
CodeR script
Lambisia_SARS_CoV_2_codebook.pdf
Lambisia_SARS_CoV_2_codebook.pdf
Jan 22, 2025 - Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Adobe PDF - 128.9 KB - MD5: c89a90f35f90556d7161d34600e710fb
DocumentationVariable Codebook/Data Dictionary
Lambisia_SARS_CoV_2_Readme.txt
Jan 22, 2025 - Replication Data for: Epidemiological insights from genomic analyses of the SARS-CoV-2 infection wave in coastal Kenya, 2023-24
Plain Text - 4.8 KB - MD5: f71ab9cd928c4d5abd7c3e48fab963e5
DocumentationReadme
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