| Literature DB >> 32183901 |
Sasmita Poudel Adhikari1, Sha Meng1, Yu-Ju Wu1, Yu-Ping Mao2, Rui-Xue Ye1, Qing-Zhi Wang1, Chang Sun1, Sean Sylvia3, Scott Rozelle4, Hein Raat5, Huan Zhou6.
Abstract
BACKGROUND: The coronavirus disease (COVID-19) has been identified as the cause of an outbreak of respiratory illness in Wuhan, Hubei Province, China beginning in December 2019. As of 31 January 2020, this epidemic had spread to 19 countries with 11 791 confirmed cases, including 213 deaths. The World Health Organization has declared it a Public Health Emergency of International Concern.Entities:
Keywords: COVID-19; Causes; Epidemiology; Prevention and control; Review
Mesh:
Year: 2020 PMID: 32183901 PMCID: PMC7079521 DOI: 10.1186/s40249-020-00646-x
Source DB: PubMed Journal: Infect Dis Poverty ISSN: 2049-9957 Impact factor: 4.520
Fig. 1PRISMA flow diagram for the scoping review process
Breakdown of research domains by language in January 2020
| Research domains | English literature | Chinese literature | Total | |||
|---|---|---|---|---|---|---|
| % | % | % | ||||
| Epidemiology | 19 | 32.8 | 0 | 0.0 | 19 | 29.2 |
| Causes | 25 | 43.1 | 0 | 0.0 | 25 | 38.5 |
| Clinical manifestation and diagnosis | 8 | 13.8 | 1 | 14.3 | 9 | 13.8 |
| Prevention and control | 6 | 10.3 | 6 | 85.7 | 12 | 18.5 |
| Total | 58 | 89.2 | 7 | 10.8 | 65 | 100 |
Fig. 2Research domains of published research articles
Fig. 3Publication dates of research articles
Breakdown of research domains by collaboration type in January 2020
| Research domains | Inside China | Outside China | International collaboration | Total | ||||
|---|---|---|---|---|---|---|---|---|
| % | % | % | % | |||||
| Epidemiology | 8 | 18.2 | 9 | 47.4 | 2 | 100 | 19 | 29.2 |
| Causes | 17 | 38.6 | 8 | 42.1 | 0 | 0.0 | 25 | 38.5 |
| Clinical manifestation and diagnosis | 8 | 18.2 | 1 | 5.3 | 0 | 0.0 | 9 | 13.8 |
| Prevention and control | 11 | 25.0 | 1 | 5.3 | 0 | 0.0 | 12 | 18.5 |
| Total | 44 | 67.7 | 19 | 29.2 | 2 | 3.1 | 65 | 100 |
Methodological characteristics of COVID-19 research articles in January 2020
| Characteristics | Categories | % | |
|---|---|---|---|
Study design ( | Cross-sectional studies | 12 | 18.5 |
| Mathematical modeling | 29 | 44.6 | |
| Molecular studies | 10 | 15.4 | |
| Diagnostic studies | 2 | 3.1 | |
| Review | 3 | 4.6 | |
| Theoretical study | 9 | 13.9 | |
Targets of study ( | Population | 32 | 49.2 |
| Patients | 22 | 33.9 | |
| General population | 6 | 9.2 | |
| Healthcare workers | 4 | 6.2 | |
| Species (virus structure, gene sequence) | 24 | 36.9 | |
| Other | 9 | 13.9 | |
| Study related to population ( | |||
| Sample size | 1–10 | 11 | 34.4 |
| 11–50 | 5 | 15.6 | |
| 51–100 | 3 | 9.4 | |
| > 100 | 3 | 9.4 | |
| Not specified | 10 | 31.3 | |
| Study setting | Laboratory | 2 | 6.3 |
| Hospital | 10 | 31.3 | |
| Community | 0 | 0.0 | |
| Hospital and community | 0 | 0.0 | |
| Not specified | 20 | 62.5 | |
| Questionnaire | 7 | 10.8 | |
| Data-collection instrumenta | Biological specimen collection | 1 | 3.1 |
| Physical examinations | 0 | 0.0 | |
| Environmental sample | 0 | 0.0 | |
| Hospital, medical, or exposure records | 14 | 43.7 | |
| Secondary data | 16 | 50.0 | |
| Quality-control activities for data collection | Indicated in the article | 14 | 56.3 |
| Not specified | 18 | 43.8 | |
a Percentages in this section do not add up to 100% because multiple answers were possible
Main epidemiological indicators of COVID-19 research articles in January 2020
| Indicators | Description |
|---|---|
| Age of patients | • Cases range between 25 and 89 years, with most patients aged between 35 and 55 years and fewer cases among children and infants [ |
| • Median age of patients is 59 years, ranging from 51 to 89 [ | |
| • Average age of patients was 55.5 years; age distribution: ≤ 39: 10%; 40–49: 22%, 50–59: 30%; 60–69: 22%, ≥ 70: 15% [ | |
| • Cases range from 2 to 72 years [ | |
| Sex of patients | • More cases were males [ |
| • 59% males [ | |
| • 68% males [ | |
| Age of the deaths | • Median age of death was 75 (with a range between 48 and 89 years) [ |
| Exposure history | • Huanan Seafood Market in Wuhan [ |
| • Wuhan residents or people who visited Wuhan [ | |
| Incubation time | • 4.8 ± 2.6 days (2–11 days) [ |
| • 5.2 days (4.1–7 days) [ | |
| • Average of 7 days (2–14 days) [ | |
| • Average of 10 days [ | |
| • 5–6 days [ | |
| • Average of 6.4 days (5.6–7.7 days) [ | |
| Basic Reproduction (R0) | • 2.6 (uncertainty range: 1.5–3.5) [ |
| • 3.8 (95% | |
| • 2.2 (1.4–3.8) [ | |
| • 4.71 (4.50–4.92) [ | |
| • 2.68 (95% | |
| Susceptible populations | • Elderly people [ |
| • People with poor immune function [ | |
| • People with chronic co-morbidities [ | |
| • People with long-term use of immunosuppressive agents [ | |
| • Surgery history before admission [ | |
| Mortality rate | • 3% (between 29 December 2019 to 23 January, 2020) [ |
| • 2.3% (as of 28 January 2020) [ | |
| • 2.8% (as of 25 January, 2020) [ | |
| • 2.9% (as of 25 January, 2020) [ | |
| • 11% (as of 25 January, 2020) [ | |
| • 3.1% (as of 24 January 2020) [ |
Fig. 4Distribution of COVID-19 cases in China
Fig. 5Global distribution of COVID-19 cases