SynthesisEpidemiology and infection2020
Epidemiological characteristics of COVID-19: a systematic review and meta-analysis.
Synthesis in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 95 papers, 12 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
95 citing papers in PubMed, 12 syntheses or guidelines pooled it.
- Occurrence of Myocarditis in Patients Immunized with Different Types of COVID-19 Vaccines: A Systematic Review and Meta-Analysis.Virus research · 2026Pooled it
- Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis.BMC public health · 2025Pooled it
- Assessing changes in incubation period, serial interval, and generation time of SARS-CoV-2 variants of concern: a systematic review and meta-analysis.BMC medicine · 2023Pooled it
- Does dengue and COVID-19 co-infection have worse outcomes? A systematic review of current evidence.Reviews in medical virology · 2022Pooled it
- Meta-analysis and comprehensive study of coronavirus outbreaks: SARS, MERS and COVID-19.Journal of infection and public health · 2021Pooled it
- The Effect of Ambient Environmental Conditions on COVID-19 Mortality: A Systematic Review.International journal of environmental research and public health · 2021Pooled it
- Covid-19 in end-stage renal disease patients with renal replacement therapies: A systematic review and meta-analysis.PLoS neglected tropical diseases · 2021Pooled it
- The incubation period during the pandemic of COVID-19: a systematic review and meta-analysis.Systematic reviews · 2021Pooled it
- Kidney Complications of COVID-19: A Systematic Review and Meta-Analysis.Journal of research in health sciences · 2021Pooled it
- COVID-19 Among People Living with HIV: A Systematic Review.AIDS and behavior · 2021Pooled it
- Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications.European journal of epidemiology · 2020Pooled it
- Prevalence of potential respiratory symptoms in survivors of hospital admission after coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.Chronic respiratory diseasePooled it
- Post-COVID-19 social determinants of health and quality of life: a longitudinal study.Revista da Escola de Enfermagem da U S P · 2026Article
- Building a coronavirus disease 2019 healthcare registry in an evolving pandemic.Scientific reports · 2025Article
- Early COVID-19 Pandemic Preparedness: Informing Public Health Interventions and Hospital Capacity Planning Through Participatory Hybrid Simulation Modeling.International journal of environmental research and public health · 2024Article
- Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios.PLoS computational biology · 2024Article
- Epidemiology of Morbidity and Mortality of COVID-19 Patients During the Period of June 2020-September 2021 in Sulianti Saroso Infectious Disease Hospital, Indonesia.The Malaysian journal of medical sciences : MJMS · 2024Article
- Survival of hospitalised COVID-19 patients in Hawassa, Ethiopia: a cohort study.BMC infectious diseases · 2024Article
- Predicting subnational incidence of COVID-19 cases and deaths in EU countries.BMC infectious diseases · 2024Article
- Ocular manifestations of COVID-19: A systematic review of current evidence.Preventive medicine reports · 2024Review
35 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Our understanding of the Coronavirus disease 2019 (COVID-19) continues to evolve and there are many unknowns about its epidemiology. This study aims to synthesise case fatality rate (CFR) among confirmed COVID-19 patients, incubation period and time from onset of COVID-19 symptoms to first medical visit, intensive care unit (ICU) admission, recovery, and death. We searched MEDLINE, Embase, Google Scholar, and bibliographies of relevant articles from 01 December 2019 to 11 March 2020 without any language restrictions. Quantitative studies that recruited people with confirmed COVID-19 diagnosis were included. Two independent reviewers extracted the data. Out of 1675 non-duplicate studies, 43 were included in the meta-analysis. The pooled mean incubation period was 5.68 (99% confidence interval [CI]: 4.78, 6.59) days. The pooled mean number of days from the onset of COVID-19 symptoms to first clinical visit was 4.92 (95% CI: 3.95, 5.90), ICU admission was 9.84 (95% CI: 8.78, 10.90), recovery was 18.55 (95% CI: 13.69, 23.41), and death was 15.93 (95% CI: 13.07, 18.79). Pooled CFR among confirmed COVID-19 patients was 0.02 (95% CI: 0.02, 0.03). We found that the incubation period and lag between the onset of symptoms and first clinical visit for COVID-19 are longer than other respiratory viral infections including Middle East respiratory syndrome and severe acute respiratory syndrome; however, the current policy of 14 days of mandatory quarantine for everyone potentially exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) might be too conservative. Longer quarantine periods might be more justified for extreme cases.
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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.