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Part 1: Document Description
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Citation |
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Title: |
Replication Data for: The indirect health effects of malaria estimated from health advantages of the sickle cell trait |
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Identification Number: |
doi:10.7910/DVN/OB8FFI |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2020-08-12 |
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Version: |
2 |
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Bibliographic Citation: |
Nyutu, Gideon; Uyoga, Sophie; Williams, Thomas N., 2020, "Replication Data for: The indirect health effects of malaria estimated from health advantages of the sickle cell trait", https://doi.org/10.7910/DVN/OB8FFI, Harvard Dataverse, V2 |
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Citation |
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Title: |
Replication Data for: The indirect health effects of malaria estimated from health advantages of the sickle cell trait |
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Identification Number: |
doi:10.7910/DVN/OB8FFI |
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Authoring Entity: |
Nyutu, Gideon (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
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Uyoga, Sophie (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
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Williams, Thomas N. (KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Williams, Thomas N. |
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Depositor: |
Uyoga, Sophie |
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Date of Deposit: |
2020-06-26 |
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Holdings Information: |
https://doi.org/10.7910/DVN/OB8FFI |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, Sickle cell disease, Africa, Natural history |
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Abstract: |
<p>This is a replication dataset for the paper "<i><a href="https://doi.org/10.1038/s41467-019-08775-0">Uyoga, S., Macharia, A.W., Ndila, C.M., Nyutu, G., Shebe, M., Awuondo, K.O., Mturi, N., Peshu, N., Tsofa, B., Scott, J.A.G. and Maitland, K., 2019. The indirect health effects of malaria estimated from health advantages of the sickle cell trait. Nature communications, 10(1), pp.1-7.</a></i>"</p> <p>Most estimates of the burden of malaria are based on its direct impacts; however, its true burden is likely to be greater because of its wider effects on overall health. We present data from 20,574 children < 14 years of age who were admitted to Kilifi County Hospital (KCH) from within the study area covered by the Kilifi Health and Demographic Surveillance System (KHDSS) during the 5-year period between 1st January 2000 and 31st December 2004. The dataset contains baseline demographic, anthropometric and hematological characteristics of these children. 18,864 (92%) potential cases, were genotyped successfully for HbS and were included in the reported analysis.</p> |
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Notes: |
<strong>Data Availability</strong> <p>Access to these data requires submission of a formal request for consideration by our Data Governance Committee. </p> <strong>How to request</strong> <ol> <li>Download and complete the <a href="https://kemri-wellcome.org/zp-content/uploads/2021/02/KWTRP_Dataverse_Data_Request_Form_2019.docx"><strong>data request form</strong></a></li> <li> Email completed data request form to the Data Governance Committee at <a href="mailto:dgc@kemri-wellcome.org?cc=lmwango@kemri-wellcome.org?Subject=Data%20Access%20Request"><strong>dgc@kemri-wellcome.org</strong></a> </li> </ol> |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Citation Requirement: |
<p>Publications based on this data collection should acknowledge this source by means of bibliographic citation.</p> |
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Notes: |
<p>This data is licensed under the <a href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</a> <a href="https://creativecommons.org/licenses/by/4.0/legalcode"><img src="https://i.creativecommons.org/l/by/3.0/88x31.png"> </a> </p> |
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For access to data and 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="mailto:dgc@kemri-wellcome.org">dgc@kemri-wellcome.org</a> ]. <strong> <a href="https://kemri-wellcome.org/wp-content/uploads/2016/02/Data-Sharing-guidelines-External-requests.docx">Click to download Data Request Form</a></strong> |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Title: |
Uyoga, S., Macharia, A.W., Ndila, C.M., Nyutu, G., Shebe, M., Awuondo, K.O., Mturi, N., Peshu, N., Tsofa, B., Scott, J.A.G. and Maitland, K., 2019. The indirect health effects of malaria estimated from health advantages of the sickle cell trait. Nature communications, 10(1), pp.1-7. |
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Identification Number: |
10.1002/jia2.25323 |
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Bibliographic Citation: |
Uyoga, S., Macharia, A.W., Ndila, C.M., Nyutu, G., Shebe, M., Awuondo, K.O., Mturi, N., Peshu, N., Tsofa, B., Scott, J.A.G. and Maitland, K., 2019. The indirect health effects of malaria estimated from health advantages of the sickle cell trait. Nature communications, 10(1), pp.1-7. |
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Label: |
Data.zip |
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Text: |
Analysis datasets (STATA and CSV formats) |
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Notes: |
application/zip |
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Label: |
Uyoga_2019.do |
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Text: |
Analysis code (STATA do file) - generates Tables 1 - 3 and supplementary tables |
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Notes: |
application/x-stata-syntax |
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Label: |
Uyoga_2019_CODEBOOK.do |
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Text: |
STATA do file - attaches variable description and value labels to dataset |
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Notes: |
application/x-stata-syntax |
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Label: |
Uyoga_2019_CODEBOOK_v1.pdf |
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Text: |
Data dictionary - contains variable descriptions and value labels |
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Notes: |
application/pdf |
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Label: |
Uyoga_2019_Readme.txt |
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Text: |
Readme file |
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Notes: |
text/plain |