11 to 20 of 22 Results
Tabular Data - 3.1 MB - 470 Variables, 1604 Observations - UNF:6:92K4GppGO+sGjt9VV9YbOg==
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Tabular Data - 1.1 MB - 154 Variables, 994 Observations - UNF:6:dNljtvtQ/l1MYHLJ8Iiy4w==
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Comma Separated Values - 840.2 KB -
MD5: 793268cd5c3cf6e404b40b707b3bbbbf
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Jan 10, 2025
Ngere Isaac, 2025, "Replication Data for: High seroprevalence of SARS-CoV-2 but low infection fatality ratio eight months after introduction in Nairobi, Kenya.", https://doi.org/10.7910/DVN/9NUPM5, Harvard Dataverse, V1, UNF:6:KSP1JGfhYWTB03GyZ/mzoQ== [fileUNF]
The study data is from a population-based, cross-sectional survey conducted in November 2020 in Nairobi, Kenya, using multi-stage random sampling. The dataset includes serological results from 1,164 individuals tested for SARS-CoV-2 antibodies, alongside household demographic information. Adjusted seroprevalence estimates, stratified by age and pop... |
Tabular Data - 205.6 KB - 33 Variables, 1164 Observations - UNF:6:KSP1JGfhYWTB03GyZ/mzoQ==
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Jan 10, 2025
Situma Silvia, 2025, "Replication Data for:Serological Evidence of Cryptic Rift Valley Fever Virus Transmission Among Humans and Livestock in Central Highlands of Kenya", https://doi.org/10.7910/DVN/RRLV7B, Harvard Dataverse, V1
The study data is from a 2-year hospital-based prospective study of 1468 febrile patients in Murang'a County, Kenya, followed by a cross-sectional survey of 282 humans and 706 livestock from randomly selected households. Data included serological testing for RVF virus RNA and antibodies, coupled with questionnaire data capturing sociodemographic an... |
Comma Separated Values - 272.6 KB -
MD5: a899d11f6fb3025cfed28d1c027f803f
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MS Excel Spreadsheet - 6.2 MB -
MD5: 41194bac6beb67767de807ebda334825
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Jan 10, 2025
Situma Silvia, 2025, "Replication Data for: Widening geographic range of Rift Valley fever disease clusters associated with climate change in East Africa.", https://doi.org/10.7910/DVN/MDCQ1W, Harvard Dataverse, V1
he dataset provides comprehensive data on outbreaks, capturing geographical, environmental, and epidemiological variables. It includes spatial identifiers such as outbreak codes, GPS coordinates, and administrative boundaries (country, region, county/district, sub-county, and village). Temporal details span outbreak start and end dates, year, and m... |
Jan 10, 2025 -
Replication Data for: Widening geographic range of Rift Valley fever disease clusters associated with climate change in East Africa.
MS Excel Spreadsheet - 82.3 KB -
MD5: a22f26cac8654fca3bc55eb99892e731
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