ReviewEmerging infectious diseases2022
Lessons Learned from CDC's Global COVID-19 Early Warning and Response Surveillance System.
Review in Emerging infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed.
- Assessing social media platform data access for automated early warning of public health threats.European journal of public health · 2026Article
- Integrating mortality surveillance as a routine component of national essential public health functions: a blueprint for action.BMJ public health · 2026Review
- Global, regional, and national characteristics of the main causes of increased disease burden due to the covid-19 pandemic: time-series modelling analysis of global burden of disease study 2021.BMJ (Clinical research ed.) · 2025Article
- Embedding public health intelligence into the global public health architecture.BMJ public health · 2024Article
- Accelerating targeted mosquito control efforts through mobile West Nile virus detection.Parasites & vectors · 2024Article
- Public health surveillance perspectives from provincial COVID-19 experiences, South Africa 2021.Jamba (Potchefstroom, South Africa) · 2024Article
- Global public health intelligence: World Health Organization operational practices.PLOS global public health · 2023Review
- Global Responses to the COVID-19 PandemicEmerging infectious diseases · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Early warning and response surveillance (EWARS) systems were widely used during the early COVID-19 response. Evaluating the effectiveness of EWARS systems is critical to ensuring global health security. We describe the Centers for Disease Control and Prevention (CDC) global COVID-19 EWARS (CDC EWARS) system and the resources CDC used to gather, manage, and analyze publicly available data during the prepandemic period. We evaluated data quality and validity by measuring reporting completeness and compared these with data from Johns Hopkins University, the European Centre for Disease Prevention and Control, and indicator-based data from the World Health Organization. CDC EWARS was integral in guiding CDC's early COVID-19 response but was labor-intensive and became less informative as case-level data decreased and the pandemic evolved. However, CDC EWARS data were similar to those reported by other organizations, confirming the validity of each system and suggesting collaboration could improve EWARS systems during future pandemics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.