Covid-19 Surveillance in the Primary Health Care Population of Qatar
Experience of Prioritizing Timeliness Over Representativeness When Sampling the Population
Bibliographic Data
| ID | 22088569 |
|---|---|
| Authors | Hamda Abdulla A Qotba (Primary Health Care), Hamda Abdulla A/Qotba, Ahmed Sameer Al Nuaimi (Primary Health Care, corresponding author), Hanan Al Mujalli (0000-0001-5120-4116, Primary Health Care), Abduljaleel Abdullatif Zainel (0000-0003-1441-117X, Primary Health Care), Hanan Khudadad (0000-0002-5075-9387, Primary Health Care), Tamara Marji (0000-0002-1745-969X, Primary Health Care), Shajitha Thekke Veettil (0000-0002-6322-4808, Primary Health Care), Mohamed Ahmed Syed (0000-0002-2396-3534, Primary Health Care) |
| Year | 2021 |
| Volume | 9 |
| Pages | 654734-654734 |
| Publication date | 2021-05-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2021.654734 |
| PMID | 34026715 |
| OpenAlex | W3160795026 |
| Language | EN |
| References cited | 11 |
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
Disease · Environmental health · Pathology · Population · Representativeness heuristic · Sample size determination · Statistics · Stratified sampling · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Demography · Mathematics · Medicine · SARS-CoV-2 detection and testing · Internal Medicine
Good practice in the conduct and reporting of survey research
Geographical tracking and mapping of coronavirus disease Covid-19/severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) epidemic and associated events around the world
Estimating the asymptomatic proportion of coronavirus disease 2019 (Covid-19) cases on board the Diamond Princess cruise ship, Yokohama, Japan, 2020
| Highly cited | No |
|---|