Аннотация
The COVID-19 pandemic is ongoing worldwide, and various case and death numbers are being reported to track its spread. However, the number of actual cases is uncertain due to under-reporting. Using mortality data as a more reliable indicator, this study in Kazakhstan evaluated the extent of under-reporting and under-detection of COVID-19 cases from March 2020 to September 2022 using back-casting and capture-recapture methods. The results indicate that official case reporting in Kazakhstan significantly underestimates the number of infections by at least 50%. The study also suggests that improved testing capabilities may have led to a decrease in the percentage of unreported cases, however, early in the pandemic, Kazakhstan faced significant testing shortages. The study presents a mathematical model based on mortality data that highlights the severe under-reporting of COVID-19 cases in Kazakhstan and argues that understanding the true estimate of actual cases could aid in making informed decisions to end the pandemic.
| Язык оригинала | English |
|---|---|
| Название основной публикации | Advances in Experimental Medicine and Biology |
| Издатель | Springer |
| Страницы | 373-384 |
| Число страниц | 12 |
| DOI | |
| Состояние | Published - 2024 |
| Опубликовано для внешнего пользования | Да |
Серия публикаций
| Название | Advances in Experimental Medicine and Biology |
|---|---|
| Том | 1457 |
| ISSN (печатное издание) | 0065-2598 |
| ISSN (электронное издание) | 2214-8019 |
ЦУР ООН
Работа этого автора способствует достижению следующих Целей устойчивого развития
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Good health and well being
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Quality education
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Reduced inequalities
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Responsible consumption and production
ASJC Scopus subject areas
- General Biochemistry,Genetics and Molecular Biology
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