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Part 1: Document Description
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Citation |
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Title: |
Data for: A cross-sectional analysis identifies a low prevalence of Plasmodium ovale curtisi infections in symptomatic and asymptomatic individuals in Kilifi county, Kenya |
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Identification Number: |
doi:10.7910/DVN/AGTFDH |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-06-08 |
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Version: |
6 |
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Bibliographic Citation: |
Akinyi, Mercy Y.; Chifwete, Margaret; Ndwiga, Leonard; Kimenyi, Kelvin M.; Osoti, Victor; Ochola-Oyier, Lynette Isabella, 2022, "Data for: A cross-sectional analysis identifies a low prevalence of Plasmodium ovale curtisi infections in symptomatic and asymptomatic individuals in Kilifi county, Kenya", https://doi.org/10.7910/DVN/AGTFDH, Harvard Dataverse, V6 |
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Citation |
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Title: |
Data for: A cross-sectional analysis identifies a low prevalence of Plasmodium ovale curtisi infections in symptomatic and asymptomatic individuals in Kilifi county, Kenya |
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Identification Number: |
doi:10.7910/DVN/AGTFDH |
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Authoring Entity: |
Akinyi, Mercy Y. (1) KEMRI-Wellcome Trust Research Programme 2) Institute of Primate Research) |
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Chifwete, Margaret (1) KEMRI-Wellcome Trust Research Programme 2) Pwani University) |
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Ndwiga, Leonard (KEMRI-Wellcome Trust Research Programme) |
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Kimenyi, Kelvin M. (1) KEMRI-Wellcome Trust Research Programme 2) Center for Biotechnology and Bioinformatics, University of Nairobi) |
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Osoti, Victor (KEMRI-Wellcome Trust Research Programme) |
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Ochola-Oyier, Lynette Isabella (KEMRI-Wellcome Trust Research Programme) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Data Governance Office |
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Depositor: |
Wafula, James |
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Date of Deposit: |
2022-06-08 |
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Holdings Information: |
https://doi.org/10.7910/DVN/AGTFDH |
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Study Scope |
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Keywords: |
Medicine, Health and Life Sciences, Plasmodium ovale curtisi, Malaria, PCR, Microscopy, Sequencing |
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Abstract: |
For close to three decades malaria surveillance efforts in Kilifi county have mainly focused on P. falciparum. To our knowledge, there is a lack of data on the prevalence and trends of P. ovale in Kilifi county. To generate data for a proof-of-concept of molecular surveillance of P. ovale using the curtisi sub-species as an exemplar of non-Pf malarias, a convenient approach of archived samples, readily available primers and reagents were used to screen samples from cross-sectional studies in Kilifi county to: 1) determine the prevalence of P. ovale curtisi mixed and mono infections and 2) determine the sensitivity of different diagnostic assays in detecting P. ovale curtisi infections. This is the main data set for the Akinyi et al. Plasmodium ovale manuscript. This data set provides information on the prevalence of Plasmodium ovale across 3 sites in Kilifi county Kenya. It also provides microscopy and or PCR data for Plasmodium falciparum and Plasmodium malariae. |
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Notes: |
<h3><font color="black"> Further information</font></h3> For inquiries and clarifications, please contact our <a href = "mailto: dgc@kemri-wellcome.org">data governance office</a> via email. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Label: |
Akinyi et al. Extended data_Ovale.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Akinyi et al. Extended data_Ovale_2.pdf |
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Notes: |
application/pdf |
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Label: |
Akinyi et al. Extended_data_Ovale_3.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |
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Label: |
Akinyi et al. Ovale_27Jun22_de-identified.xlsx |
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Notes: |
application/vnd.openxmlformats-officedocument.spreadsheetml.sheet |
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Label: |
Data Readme File_OvaleMS.txt |
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Notes: |
text/plain |
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Label: |
KWTRP_DATA_CODEBOOK_OvaleMS.docx |
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Notes: |
application/vnd.openxmlformats-officedocument.wordprocessingml.document |