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新冠病毒检测和病例数据在循证卫生政策和实践方面的局限性。

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

机构信息

Department of Health Research Methods, Evidence and Impact, McMaster University, CRL 2nd Floor, 1280 Main Street West, Hamilton, ON, L8S4K1, Canada.

Department of Anthropology, University of Colorado Boulder, Boulder, CO, USA.

出版信息

Health Res Policy Syst. 2023 Jan 25;21(1):11. doi: 10.1186/s12961-023-00963-1.

DOI:10.1186/s12961-023-00963-1
PMID:36698202
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9876649/
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.

摘要

背景：新冠肺炎（COVID-19）在数月内成为全球大流行。对大流行第一年进行分析后，随后出现了数据和监测方面的差距。然而，政策决策和公众对本国抗击 COVID-19 战略的信任取决于病例数量、死亡人数和其他不熟悉的指标。国际上对 COVID-19 病例的统计存在诸多限制，这使得对原始数据和政策应对措施进行跨国比较变得困难。

目的和结论：本文提出并描述了检测和报告流程中的步骤，并以一些国家为例说明了在每个步骤中遇到的障碍，所有这些都导致了 COVID-19 病例的漏报。这项工作提出了在 COVID-19 数据中需要考虑的因素，并为当前的 COVID-19 情况提供了建议，以及在未来的大流行中需要注意的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a311/9878944/4329ba283e33/12961_2023_963_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a311/9878944/4329ba283e33/12961_2023_963_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a311/9878944/4329ba283e33/12961_2023_963_Fig1_HTML.jpg

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

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[2]
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[3]
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Front Immunol. 2025-6-25

[4]
Trends in Testing for SARS-CoV-2 Among Healthcare Workers in a Canadian Cohort Study During the COVID-19 Pandemic, June 2020 to November 2023.

Can J Infect Dis Med Microbiol. 2025-5-30

[5]
Statistical Relationship Between Wastewater Data and Case Notifications for COVID-19 Surveillance in the United States From 2020 to 2023: Bayesian Hierarchical Modeling Approach.

JMIR Public Health Surveill. 2025-5-22

[6]
Wastewater Speaks: Evaluating SARS-CoV-2 Surveillance, Sampling Methods, and Seasonal Infection Trends on a University Campus.

Microorganisms. 2025-4-17

[7]
Variability of Clinical Metrics in Small Population Communities Drive Perceived Wastewater and Environmental Surveillance Data Quality: Ontario, Canada-Wide Study.

ACS ES T Water. 2025-3-7

[8]
Effects of behavioral intervention components to increase COVID-19 testing for African American/Black and Latine frontline essential workers not up-to-date on COVID-19 vaccination: Results of an optimization randomized controlled trial.

J Behav Med. 2025-4-17

[9]
Building systems' resilience in the mpox outbreak response in Africa.

J Public Health Afr. 2025-3-31

[10]
Development of Bayesian segmented Poisson regression model to forecast COVID-19 dynamics based on wastewater data: a case study in Nanning City, China.

BMC Public Health. 2025-1-9

本文引用的文献

[1]
Immigrants facing Covid 19 containment in France : An ordinary hardship of disaffiliation.

J Migr Health. 2020-12-9

[2]
To comply or not comply? A latent profile analysis of behaviours and attitudes during the COVID-19 pandemic.

PLoS One. 2021

[3]
Trust and transparency in times of crisis: Results from an online survey during the first wave (April 2020) of the COVID-19 epidemic in the UK.

PLoS One. 2021

[4]
Early warning of epidemics: towards a national intelligent syndromic surveillance system (NISSS) in China.

BMJ Glob Health. 2020-10

[5]
SARS-CoV-2 testing in low- and middle-income countries: availability and affordability in the private health sector.

Microbes Infect. 2020

[6]
A cross-country database of COVID-19 testing.

Sci Data. 2020-10-8

[7]
Rethinking Covid-19 Test Sensitivity - A Strategy for Containment.

N Engl J Med. 2020-11-26

[8]
Have we misjudged the role of children in spreading COVID-19?

CMAJ. 2020-9-21

[9]
COVID-19 in Italy: An Analysis of Death Registry Data.

J Public Health (Oxf). 2020-11-23

[10]
Bangladesh's COVID-19 testing criticised.

Lancet. 2020-8-29

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