| Literature DB >> 33071295 |
Gizachew Tadesse Wassie1, Abebaw Gedef Azene1, Getasew Mulat Bantie2, Getenet Dessie3, Abiba Mihret Aragaw4.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) has currently become a major global public health problem. The prevalence of COVID-19 has increased rapidly worldwide. Because there is no effective COVID-19 vaccine available yet, it is increasingly important to understand the average incubation period of severe acute respiratory syndrome novel coronavirus 2 (SARS-CoV-2), the virus that causes COVID-19, to design appropriate preventive and control strategies.Entities:
Keywords: COVID-19; SARS-CoV-2; incubation period; meta-analysis; systematic review
Year: 2020 PMID: 33071295 PMCID: PMC7548076 DOI: 10.1016/j.curtheres.2020.100607
Source DB: PubMed Journal: Curr Ther Res Clin Exp ISSN: 0011-393X
Figure 1Flow diagram of study selection for the systematic review and meta-analysis of the average incubation period of severe acute respiratory syndrome novel coronavirus 2 that causes coronavirus disease 2019.
Characteristics of studies included in a systematic review and meta-analysis of the incubation period of severe acute respiratory syndrome novel coronavirus 2 that causes coronavirus disease 2019.
| No. | Reference | Publication year | Country | Sample size | Study design | Mean (SE) | Risk of bias |
|---|---|---|---|---|---|---|---|
| 1 | Guan W, et al | 2020 | China | 1099 | Retrospective | 7.5 (0.181) | High |
| 2 | Qin J, et al | 2020 | China | 1211 | Prospective | 8.62 (0.39) | High |
| 3 | Lauer SA, et al | 2020 | China | 181 | Retrospective | 5.1 (0.36) | Low |
| 4 | Linton NM, et al | 2020 | Global | 158 | Retrospective | 5 (0.24) | Low |
| 5 | Pung R, et al | 2020 | Singapore | 17 | Retrospective | 4.33 (0.587) | High |
| 6 | Li Q, et al | 2020 | China | 425 | Retrospective | 5.2 (0.92) | Low |
| 7 | Guan W, et al | 2020 | China | 1099 | Retrospective | 4.33 (0.113) | Medium |
| 8 | Backer JA, et al | 2020 | China | 88 | Retrospective | 6.4 (0.663) | Low |
| 9 | Song R, et al | 2020 | China | 24 | Retrospective | 12.8 (0.58) | Low |
| 10 | Leung C19 | 2020 | China | 175 | Retrospective | 1.8 (0.47) | Low |
| 11 | Leung C19 | 2020 | China | 175 | Retrospective | 7.2 (0.612) | Low |
| 12 | Jin X, et al | 2020 | China | 74 | Retrospective | 4.67 (0.35) | Low |
| 13 | Qian G-Q, et al | 2020 | China | 91 | Retrospective | 5.67 (0.4) | High |
| 14 | Yang Y, et al | 2020 | China | 8,866 | Retrospective | 4.8 (0.025) | Low |
| 15 | Tian S, et al | 2020 | China | 262 | Retrospective | 6.7 (0.76) | Low |
| 16 | Jiang X, et al | 2020 | Global | 49 | Retrospective | 4.9 (0.31) | Low |
| 17 | Ki M, et al | 2020 | South Korea | 22 | Retrospective | 3.6 (0.426) | Low |
| 18 | Zhang J, et al | 2020 | China | 8579 | Retrospective | 5.2 (1.73) | Low |
Figure 2Forest plot to show the average incubation period of severe acute respiratory syndrome novel coronavirus 2 that causes coronavirus disease 2019.
Subgroup analyses by country in a systematic review and meta-analysis of the incubation period of severe acute respiratory syndrome novel coronavirus 2 that causes coronavirus disease 2019.
| Variable | Subgroup | No. of studies | Mean (95% confidence interval) | Heterogeneity test | |
|---|---|---|---|---|---|
| Country | China | 14 | 6.14 (5.34–6.94) | 97.8 | 0.360 |
| Others | 4 | 4.54 (3.92–5.16 | 66.8 | ||
| Sample size | ≤ 500 | 13 | 5.61 (4.50–6.72) | 95.4 | 0.006 |
| > 500 | 5 | 6.17 (5.00–7.34) | 98.8 | ||
| Risk of bias | Low risk | 13 | 5.59 (4.76–6.43) | 95.5 | < 0.001 |
| Medium risk | 1 | 4.33 (4.11–4.55) | 0.0 | ||
| High risk | 4 | 6.59 (5.10–8.07) | 94.5 |
Singapore, South Korea, and global.
Figure 3Funnel plot to show the average incubation period of severe acute respiratory syndrome novel coronavirus 2 that causes coronavirus disease 2019, along with the standard error