Limitations of COVID-19 testing and case data for evidence-informed health policy and practice

• Główni autorzy: Elizabeth Alvarez (Autor), Iwona A. Bielska (Autor), Stephanie Hopkins (Autor), Ahmed A. Belal (Autor), Donna M. Goldstein (Autor), Jean Slick (Autor), Sureka Pavalagantharajah (Autor), Anna Wynfield (Autor), Shruthi Dakey (Autor), Marie-Carmel Gedeon (Autor), Edris Alam (Autor), Katrina Bouzanis (Autor)
• Format: Książka
• Wydane: BMC, 2023-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

Streszczenie

Abstract Background Coronavirus disease 2019 (COVID-19) became a pandemic within a matter of months. Analysing the first year of the pandemic, data and surveillance gaps have subsequently surfaced. Yet, policy decisions and public trust in their country's strategies in combating COVID-19 rely on case numbers, death numbers and other unfamiliar metrics. There are many limitations on COVID-19 case counts internationally, which make cross-country comparisons of raw data and policy responses difficult. Purpose and conclusions This paper presents and describes steps in the testing and reporting process, with examples from a number of countries of barriers encountered in each step, all of which create an undercount of COVID-19 cases. This work raises factors to consider in COVID-19 data and provides recommendations to inform the current situation with COVID-19 as well as issues to be aware of in future pandemics.

Deskrypcja

10.1186/s12961-023-00963-1
1478-4505