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Frequency and spelling of names in the Sierra Leone Ebola Database

Although there is no published analysis of surnames and given names used in Sierra Leone, certain names are common and identical names are frequently encountered. This makes disease tracking and contact tracing difficult. During the Ebola outbreak in 2014-2016, deficiencies in public health informat...

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Autores principales: Alpren, Charles, Womack, Lindsay Shively, Martineau, Frederick, Kamara, Elizabeth, Kamara, Ansumana, Jambai, Amara, Singh, Tushar, Kaiser, Reinhard, Redd, John Terrell
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The African Field Epidemiology Network 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922075/
https://www.ncbi.nlm.nih.gov/pubmed/36785678
http://dx.doi.org/10.11604/pamj.2022.43.141.30408
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author Alpren, Charles
Womack, Lindsay Shively
Martineau, Frederick
Kamara, Elizabeth
Kamara, Ansumana
Jambai, Amara
Singh, Tushar
Kaiser, Reinhard
Redd, John Terrell
author_facet Alpren, Charles
Womack, Lindsay Shively
Martineau, Frederick
Kamara, Elizabeth
Kamara, Ansumana
Jambai, Amara
Singh, Tushar
Kaiser, Reinhard
Redd, John Terrell
author_sort Alpren, Charles
collection PubMed
description Although there is no published analysis of surnames and given names used in Sierra Leone, certain names are common and identical names are frequently encountered. This makes disease tracking and contact tracing difficult. During the Ebola outbreak in 2014-2016, deficiencies in public health information systems in Sierra Leone exacerbated data collection difficulties. The study objective was to examine frequency of names recorded in the Viral Hemorrhagic Fever database (VHF) component of the Sierra Leone Ebola Database (SLED). First names and surnames were standardized by a Sierra Leonean linguist. Frequencies of standardized first names, surnames, full names, and initials were analyzed. The most frequent surname was used by 18.2% of VHF records and the most frequent 20 surnames accounted for 74.1%. The most frequent male first name accounted for 5.5% of VHF records and the most frequent female first name for 4.6%. The 20 most frequent full names accounted for 12.4% of records, and the most frequent initials were used in 7.3% of VHF records. A limited number of names are used in Sierra Leone, which poses a challenge to large public health responses. Algorithms that address inconsistent spelling could be used to improve computer-based databases. Databases must also use variables other than name for identification. The lessons learned in this analysis can assist other investigations, particularly those requiring contact tracing to limit disease spread.
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spelling pubmed-99220752023-02-12 Frequency and spelling of names in the Sierra Leone Ebola Database Alpren, Charles Womack, Lindsay Shively Martineau, Frederick Kamara, Elizabeth Kamara, Ansumana Jambai, Amara Singh, Tushar Kaiser, Reinhard Redd, John Terrell Pan Afr Med J Essay Although there is no published analysis of surnames and given names used in Sierra Leone, certain names are common and identical names are frequently encountered. This makes disease tracking and contact tracing difficult. During the Ebola outbreak in 2014-2016, deficiencies in public health information systems in Sierra Leone exacerbated data collection difficulties. The study objective was to examine frequency of names recorded in the Viral Hemorrhagic Fever database (VHF) component of the Sierra Leone Ebola Database (SLED). First names and surnames were standardized by a Sierra Leonean linguist. Frequencies of standardized first names, surnames, full names, and initials were analyzed. The most frequent surname was used by 18.2% of VHF records and the most frequent 20 surnames accounted for 74.1%. The most frequent male first name accounted for 5.5% of VHF records and the most frequent female first name for 4.6%. The 20 most frequent full names accounted for 12.4% of records, and the most frequent initials were used in 7.3% of VHF records. A limited number of names are used in Sierra Leone, which poses a challenge to large public health responses. Algorithms that address inconsistent spelling could be used to improve computer-based databases. Databases must also use variables other than name for identification. The lessons learned in this analysis can assist other investigations, particularly those requiring contact tracing to limit disease spread. The African Field Epidemiology Network 2022-11-15 /pmc/articles/PMC9922075/ /pubmed/36785678 http://dx.doi.org/10.11604/pamj.2022.43.141.30408 Text en Copyright: Charles Alpren et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Essay
Alpren, Charles
Womack, Lindsay Shively
Martineau, Frederick
Kamara, Elizabeth
Kamara, Ansumana
Jambai, Amara
Singh, Tushar
Kaiser, Reinhard
Redd, John Terrell
Frequency and spelling of names in the Sierra Leone Ebola Database
title Frequency and spelling of names in the Sierra Leone Ebola Database
title_full Frequency and spelling of names in the Sierra Leone Ebola Database
title_fullStr Frequency and spelling of names in the Sierra Leone Ebola Database
title_full_unstemmed Frequency and spelling of names in the Sierra Leone Ebola Database
title_short Frequency and spelling of names in the Sierra Leone Ebola Database
title_sort frequency and spelling of names in the sierra leone ebola database
topic Essay
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9922075/
https://www.ncbi.nlm.nih.gov/pubmed/36785678
http://dx.doi.org/10.11604/pamj.2022.43.141.30408
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