Replication Data for: Surveillance of respiratory viruses in the outpatient setting in rural coastal Kenya: baseline epidemiological observations  (doi:10.7910/DVN/ZX7NS4)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
Part 5: Other Study-Related Materials
Entire Codebook

Replication Data for: Surveillance of respiratory viruses in the outpatient setting in rural coastal Kenya: baseline epidemiological observations

doi:10.7910/DVN/ZX7NS4

Harvard Dataverse

2018-07-05

3

Nyiro, Joyce Uchi; Nokes, David James; Otieno, Grieven, 2018, "Replication Data for: Surveillance of respiratory viruses in the outpatient setting in rural coastal Kenya: baseline epidemiological observations", https://doi.org/10.7910/DVN/ZX7NS4, Harvard Dataverse, V3, UNF:6:4D9I073fM0F3LdQaGE7SVQ== [fileUNF]

Replication Data for: Surveillance of respiratory viruses in the outpatient setting in rural coastal Kenya: baseline epidemiological observations

doi:10.7910/DVN/ZX7NS4

Nyiro, Joyce Uchi (KEMRI-Wellcome Trust Research programme, Kilifi, Kenya)

Nokes, David James (KEMRI-Wellcome Trust Research programme, Kilifi, Kenya; University of Warwick, Imperial College London)

Otieno, Grieven (KEMRI-Wellcome Trust Research programme, Kilifi, Kenya)

Harvard Dataverse

Nyiro, Joyce Uchi

Nyiro, Joyce Uchi

2018-06-29

https://doi.org/10.7910/DVN/ZX7NS4

Medicine, Health and Life Sciences

<p>This data was created from a database generated through a surveillance to characterize the transmission pathways of viral respiratory infections in Kilifi County. Data was collected from patients presenting in nine outpatient health facilities within the KHDSS area with symptoms of respiratory infection. The study was conducted from December 2015 to June 2017. However, this dataset includes surveillance conducted in 2016 only. </p>

<strong>Data Availability Statement</strong> <p>Access to the dataset is restricted as it contains sensitive information on participants. Accompanying documentation is available under open access. For more detailed information beyond the metadata and documentation provided, there is a process of managed access requiring submission of a request form for consideration by our Data Governance Committee ( <a href="http://kemri-wellcome.org/about-us/#ChildVerticalTab_15">http://kemri-wellcome.org/about-us/#ChildVerticalTab_15 </a> ). Please contact the Data Governance Committee via this email address- dgc@kemri-wellcome.org </p>

Publications based on this data collection should acknowledge this source by means of bibliographic citation. To ensure that such source attributions are captured for bibliographic utilities, citations must appear in footnotes or in the reference section of publications. The bibliographic citation for this data collection is: "Nyiro, Joyce Uchi; Nokes, David James; Otieno, Grieven, 2018, "Replication Data for: Surveillance of respiratory viruses in the outpatient setting in rural coastal Kenya: baseline epidemiological observations", https://doi.org/10.7910/DVN/ZX7NS4, Harvard Dataverse, V1"

<p>This data is made available under the Creative Commons Attribution 4.0 International (CC BY 4.0) -https://creativecommons.org/licenses/by/4.0/legalcode. Publications based on these data should acknowledge this source by means of bibliographic citations. </p> <p>For more information on these data, please contact the authors: JNyiro@kemri-wellcome.org OR the data governance office via this email address: dgc@kemri-wellcome.org </p>

Access to the dataset is restricted as it contains sensitive information on participants. Accompanying documentation is available under open access. For more detailed information beyond the metadata and documentation provided, there is a process of managed access requiring submission of a request form for consideration by our Data Governance Committee ( <a href="http://kemri-wellcome.org/about-us/#ChildVerticalTab_15">http://kemri-wellcome.org/about-us/#ChildVerticalTab_15 </a> ). Please contact the Data Governance Committee via this email address- dgc@kemri-wellcome.org

• Number of cases: 422

• No. of variables per record: 3

• Type of File: text/tab-separated-values

UNF:6:mVM19kl3t9/mREbFAxKiFw==

Analysis dataset (STATA v13.1)

• Number of cases: 16

• No. of variables per record: 2

• Type of File: text/tab-separated-values

UNF:6:y52fwgv87Jgqi8pgAwVFig==

Analysis dataset (STATA v13.1)

• serial - Sample ID
• target - Sample type
• vir
• target - Sample type
• kch

f3181504 Location:

Summary Statistics: Mean 138548.1374407583; Max. 142982.0; Valid 422.0; Min. 135886.0; StDev 2081.9468939975905

Variable Format: numeric

Notes: UNF:6:wGvN892ElVji0G2i74MsQQ==

f3181504 Location:

Summary Statistics: Max. 15.0; Valid 422.0; Min. 1.0; Mean 7.196682464454984; StDev 5.736219747910546

Variable Format: numeric

Notes: UNF:6:H5q8FdTkl/ATfi9qCaSA9g==

f3181504 Location:

Summary Statistics: StDev 4.585440718671952; Mean 29.12539038725938; Min. 17.323057174683; Valid 422.0; Max. 39.963356018066

Variable Format: numeric

Notes: UNF:6:pRtHaM2uUVg6ZuZSb9EjDQ==

f3181505 Location:

Summary Statistics: Min. 1.0; StDev 4.760952285695233; Mean 8.5; Valid 16.0; Max. 16.0

Variable Format: numeric

Notes: UNF:6:2gH76V78fTaMc83KJgglGQ==

f3181505 Location:

Summary Statistics: Mean 25.25; Max. 229.0; Min. 0.0; Valid 16.0; StDev 56.1159513863928;

Variable Format: numeric

Notes: UNF:6:jR/ojMQI2BfQNXiKuR1BOg==

Label:

1.0_virus_distribution_graphs.do

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STATA do file

application/x-stata-syntax

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1.3.3_virus_dist_and_descriptive analysis.do

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Analysis Code (STATA do file)

application/x-stata-syntax

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2.0_Frequency_tables.do

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STATA do file

application/x-stata-syntax

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KCH_inpatient.dta

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Analysis Dataset (STATA v13)

application/x-stata-13

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KHDSS Pathways study Clinical form.pdf

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Case Report Form

application/pdf

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Khdss_outpatient.dta

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Analysis Dataset (STATA v13)

application/x-stata-13

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Nyiro_et_al_KHDSS_ARI_Surveillance_Codebook.pdf

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Codebook / Data Dictionary

application/pdf

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RSV_Outpatient_Surveillance_Data Readme File Template.txt

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Readme File

text/plain