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COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population
SARS-CoV2 a new emerging Corona Virus Disease in humans, which called for containment measures by many countries. The current paper aims to discuss the impact of two different sampling methodologies when executing a drive through COVID-19 survey on the quality of estimated disease burden measures. S...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138580/ https://www.ncbi.nlm.nih.gov/pubmed/34026715 http://dx.doi.org/10.3389/fpubh.2021.654734 |
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author | A/Qotba, Hamda Abdulla Al Nuaimi, Ahmed Sameer Al Mujalli, Hanan Zainel, Abduljaleel Abdullatif Khudadad, Hanan Marji, Tamara Veettil, Shajitha Thekke Syed, Mohamed Ahmed |
author_facet | A/Qotba, Hamda Abdulla Al Nuaimi, Ahmed Sameer Al Mujalli, Hanan Zainel, Abduljaleel Abdullatif Khudadad, Hanan Marji, Tamara Veettil, Shajitha Thekke Syed, Mohamed Ahmed |
author_sort | A/Qotba, Hamda Abdulla |
collection | PubMed |
description | SARS-CoV2 a new emerging Corona Virus Disease in humans, which called for containment measures by many countries. The current paper aims to discuss the impact of two different sampling methodologies when executing a drive through COVID-19 survey on the quality of estimated disease burden measures. Secondary data analysis of a pilot cross-sectional survey targeting Qatar's primary health care registered population was done. Two groups with different sampling methods were compared for estimating COVID-19 point prevalence using molecular testing for nasopharyngeal swabs. The first group is a stratified random sample non-proportional to size (N = 260). A total of 16 population strata based on age group, gender, and nationality were sampled. The second group is the Open invitation group (N = 841). The results showed that the two groups were obviously and significantly different in age and nationality. Besides, reporting of COVID-19 symptoms was more frequent in the open invitation group (28.2%) than the random sample (16.2%). The open invitation group overestimated the symptomatic COVID-19 prevalence rate by more than four times, while it overestimated the asymptomatic COVID-19 cases by a small margin. The overall prevalence rate of active COVID-19 cases in the open invitation sample (13.3%) was almost double that of the random sample (6.9%). Furthermore, using population sampling weights reduced the prevalence rate to 0.8%. The lesson learned here is that it is wise to consider the magnitude of bias introduced in a surveillance system when relying on convenient sampling approaches in response to time constraints. |
format | Online Article Text |
id | pubmed-8138580 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81385802021-05-22 COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population A/Qotba, Hamda Abdulla Al Nuaimi, Ahmed Sameer Al Mujalli, Hanan Zainel, Abduljaleel Abdullatif Khudadad, Hanan Marji, Tamara Veettil, Shajitha Thekke Syed, Mohamed Ahmed Front Public Health Public Health SARS-CoV2 a new emerging Corona Virus Disease in humans, which called for containment measures by many countries. The current paper aims to discuss the impact of two different sampling methodologies when executing a drive through COVID-19 survey on the quality of estimated disease burden measures. Secondary data analysis of a pilot cross-sectional survey targeting Qatar's primary health care registered population was done. Two groups with different sampling methods were compared for estimating COVID-19 point prevalence using molecular testing for nasopharyngeal swabs. The first group is a stratified random sample non-proportional to size (N = 260). A total of 16 population strata based on age group, gender, and nationality were sampled. The second group is the Open invitation group (N = 841). The results showed that the two groups were obviously and significantly different in age and nationality. Besides, reporting of COVID-19 symptoms was more frequent in the open invitation group (28.2%) than the random sample (16.2%). The open invitation group overestimated the symptomatic COVID-19 prevalence rate by more than four times, while it overestimated the asymptomatic COVID-19 cases by a small margin. The overall prevalence rate of active COVID-19 cases in the open invitation sample (13.3%) was almost double that of the random sample (6.9%). Furthermore, using population sampling weights reduced the prevalence rate to 0.8%. The lesson learned here is that it is wise to consider the magnitude of bias introduced in a surveillance system when relying on convenient sampling approaches in response to time constraints. Frontiers Media S.A. 2021-05-07 /pmc/articles/PMC8138580/ /pubmed/34026715 http://dx.doi.org/10.3389/fpubh.2021.654734 Text en Copyright © 2021 A/Qotba, Al Nuaimi, Al Mujalli, Zainel, Khudadad, Marji, Veettil and Syed. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health A/Qotba, Hamda Abdulla Al Nuaimi, Ahmed Sameer Al Mujalli, Hanan Zainel, Abduljaleel Abdullatif Khudadad, Hanan Marji, Tamara Veettil, Shajitha Thekke Syed, Mohamed Ahmed COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title | COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title_full | COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title_fullStr | COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title_full_unstemmed | COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title_short | COVID-19 Surveillance in the Primary Health Care Population of Qatar: Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population |
title_sort | covid-19 surveillance in the primary health care population of qatar: experience of prioritizing timeliness over representativeness when sampling the population |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138580/ https://www.ncbi.nlm.nih.gov/pubmed/34026715 http://dx.doi.org/10.3389/fpubh.2021.654734 |
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