| Literature DB >> 31994742 |
Weier Wang1,2, Jianming Tang3, Fangqiang Wei1.
Abstract
To help health workers and the public recognize and deal with the 2019 novel coronavirus (2019-nCoV) quickly, effectively, and calmly with an updated understanding. A comprehensive search from Chinese and worldwide official websites and announcements was performed between 1 December 2019 and 9:30 am 26 January 2020 (Beijing time). A latest summary of 2019-nCoV and the current outbreak was drawn. Up to 24 pm, 25 January 2020, a total of 1975 cases of 2019-nCoV infection were confirmed in mainland China with a total of 56 deaths having occurred. The latest mortality was approximately 2.84% with a total of 2684 cases still suspected. The China National Health Commission reported the details of the first 17 deaths up to 24 pm, 22 January 2020. The deaths included 13 males and 4 females. The median age of the people who died was 75 (range 48-89) years. Fever (64.7%) and cough (52.9%) were the most common first symptoms among those who died. The median number of days from the occurence of the first symptom to death was 14.0 (range 6-41) days, and it tended to be shorter among people aged 70 years or more (11.5 [range 6-19] days) than those aged less than 70 years (20 [range 10-41] days; P = .033). The 2019-nCoV infection is spreading and its incidence is increasing nationwide. The first deaths occurred mostly in elderly people, among whom the disease might progress faster. The public should still be cautious in dealing with the virus and pay more attention to protecting the elderly people from the virus.Entities:
Keywords: coronavirus; epidemiology; infection
Mesh:
Year: 2020 PMID: 31994742 PMCID: PMC7167192 DOI: 10.1002/jmv.25689
Source DB: PubMed Journal: J Med Virol ISSN: 0146-6615 Impact factor: 2.327
Presentation of the increased cases of 2019‐nCov infection up to 25 January 2020 at 24 pm (Beijing time)
| Date | Diagnosed cases in China mainland | Severe cases | Deaths | Mortality | Suspected cases | Involved provinces/regions in China mainland | Other involved Chinese regions | Other countries |
|---|---|---|---|---|---|---|---|---|
| 31 December 2019 | 27 | 7 | 0 | 0 | NA | Wuhan (27)/Hubei (27) | NA | |
| 10 January 2020 | 41 | 7 | 1 | 2.44% | NA | Wuhan (41)/Hubei (41) | NA | |
| 20 January 2020 | 217 | NA | NA | NA | 7 | Wuhan (198)/Hubei (198), Guangdong (14), Beijing (5) | Thailand (2), Japan (1), South Korea (1) | |
| 21 January 2020 | 440 | 102 | 9 | 2.05% | NA | Hubei (375), Guangdong (26), Beijing (10), Shanghai (9), Zhejiang (5), Chongqing (5), Sichuan (2), Jiangxi (2), Tianjin (2), Shandong (1) Henan (1), Hunan (1), Yunnan (1) | Thailand (3), Japan (1), South Korea (1) | |
| 22 January 2020 | 571 | 95 | 17 | 2.98% | 393 | Hubei (444), Guangdong (26), Shanghai (16), Beijing (14), Zhejiang (10), Chongqing (6),Sichuan (5), Henan (5), Guangxi (5), Hainan (4), Tianjin (4), Hunan (4), Jiangxi (2), Liaoning (2), Shandong (2), Yunnan (1), Anhui (1), Fujian (1), Guizhou (1), Shanxi (1), Ningxia (1), Heilongjiang (1), Hebei (1), Jiangsu (1) | Hong Kong (1), Macau (1), Taiwan (1) | Thailand (3), United States (1), Japan (1), South Korea (1) |
| The rest cases unlocated | ||||||||
| 23 January 2020 | 830 | 177 | 25 | 3.01% | 1072 | Hubei (444), Guangdong (53), Zhejiang (27), Beijing (26), Shanghai (20), Anhui (15), Guangxi (13), Hunan (9), Chongqing (9), Sichuan (8), Jiangxi (7), Shandong (6), Henan (5), Hainan (5), Tianjin (5), Fujian (5), Jiangsu (5), Heilongjiang (4), Liaoning (3), Guizhou (3), Shaanxi (3), Gansu (2), Xinjiang (2), Hebei (2), Yunnan (2), Shanxi (1), Ningxia (1), Jilin (1) | Hong Kong (2), Macau (2), Taiwan (1) | Thailand (3), United States (1), Japan (1), South Korea (1), Vietnam (1), Singapore (1) |
| The rest cases unlocated | ||||||||
| 24 January 2020 | 1287 | 236 | 41 | 3.19% | 1965 | Hubei (729), Guangdong (78), Zhejiang (62), Chongqing (57), Hunan (43), Anhui (39), Beijing (36), Shanghai (33), Henan (32), Guangxi (23), Shandong (21), Jiangxi (18), Jiangsu (18), Sichuan (15), Liaoning (12), Fujian (10), Heilongjiang (9), Hainan (8), Tianjin (8), Hebei (8), Shanxi (6), Yunnan (5), Shaanxi (5), Guizhou (4), Gansu (4), Jilin (3), Xinjiang (2), Ningxia (2), Inner Mongolia (1) | Hong Kong (5), Taiwan (3), Macau (2) | Thailand (4), Singapore (3), France (2), United States (2), Japan (2), South Korea (2), Vietnam (2), Nepal (1) |
| The rest cases unlocated | ||||||||
| 25 January 2020 | 1975 | 324 | 56 | 2.84% | 2684 | Hubei (1052), Guangdong (78), Henan (83), Hunan (69), Zhejiang (62), Anhui (60), Chongqing (57), Beijing (51), Shanghai (40), Shandong (39), Jiangxi (36), Guangxi (33), Sichuan (28), Hainan (19), Jiangsu (18), Fujian (18), Liaoning (17), Shaanxi (15), Yunnan (11), Tianjin (10), Shanxi (9), Heilongjiang (9), Hebei (8), Guizhou (5), Gansu(4), Jilin (4), Xinjiang (3), Ningxia (3), Inner Mongolia (2), Qinghai (1) | Hong Kong (5), Taiwan (3), Macau (2) | Thailand (4), Singapore (3), Malaysia (3), France (3), United States (2), Japan (2), South Korea (2), Vietnam (2), Nepal (1), Australia (1) |
| The rest cases unlocated |
Note: References 19, 21, 23, and 24 were used to demonstrate the distribution of infection nationwide on the respective date. References 1, 5, 15, 16, 17, 18, 20, and 22 were responsible for the rest information presented on the respective date.
Data from the date were calculated as of 24 pm on that day (Beijing time) unless otherwise indicated.
Data were firstly official announced on this day without a specific calculated deadline timepoint.
Data from the date were calculated as of 18 pm on this day.
Figure 1Distribution of confirmed 2019‐nCov infection in China and worldwide as of 20 January 2020 at 18 pm (Beijing time) (A); 22 January 2020 at 24 pm (Beijing time) (B); and 25 January 2020 at 24 pm (Beijing time) (C). The provinces/regions are shaded in different colors indicating different degrees of infection
Presentation of the first seventeen deaths of 2019‐nCov cases up to 22 January 2020 at 24 pm (Beijing time)
| Case | Gender | Age, y | First symptom | Comorbidity | Surgery history | First symptom to death |
|---|---|---|---|---|---|---|
| 1 | Male | 61 | Fever, cough, and fatigue for 7 d | Liver cirrhosis, kollonema | NA | 20 |
| 2 | Male | 69 | Fever, cough, and anhelation for 4 d | Aortosclerosis | NA | 16 |
| 3 | Male | 89 | Somnolence and obnubilation | Hypertension, cerebral infarction, encephalomalacia | NA | 10 |
| 4 | Male | 89 | Anhelation for 4 h | Hypertension, diabetes mellitus, coronary heart disease, frequent ventricular premature beat | Coronary stent implantation | 6 |
| 5 | Male | 66 | Fever, cough, headache, and fatigue for 6 d | Chronic obstructive pulmonary disease, hypertension, type 2 diabetes mellitus, chronic renal insufficiency, | Ascending aorta artificial aortic replacement, abdominal aortic stent implantation, cholecystectomy | 10 |
| 6 | Male | 75 | Fever, cough, expectoration for 5 d | Hypertension | Hip replacement | 14 |
| 7 | Female | 48 | Fever, muscular soreness, fatigue, cough, and expectoration | Diabetes mellitus, cerebral infarction | NA | 41 |
| 8 | Male | 82 | Chilly, muscular soreness for 5 d | NA | NA | 12 |
| 9 | Male | 66 | Dry cough for 9 d | NA | NA | 30 |
| 10 | Male | 81 | Fever for 3 d | NA | NA | 7 |
| 11 | Female | 82 | Fever, cough, chest tightness, and fatigue for 3 d | Parkinson's disease | NA | 19 |
| 12 | Male | 65 | Anhelation and fatigue for 3 d | NA | NA | 13 |
| 13 | Female | 80 | Fever and cough for 9 d | Hypertension, diabetes mellitus, Parkinson's disease | NA | 11 |
| 14 | Male | 53 | Fever | NA | NA | 20 |
| 15 | Male | 86 | Fatigue for 7 d | Hypertension, diabetes mellitus, colon cancer | Colon cancer surgery | 19 |
| 16 | Female | 70 | Continuous high fever | NA | NA | 8 |
| 17 | Male | 84 | Fever, cough, and anhelation for 3 d | Chronic bronchitis, unstable angina pectoris, hypertension, gastrointestinal bleeding, renal insufficiency, hyperlipidemia, hyperuricemia, lacunar cerebral infarction | Coronary stent implantation | 16 |
| Summary | Male: 13 |
| Top 2 symptoms | Eleven patients had comorbidities | Five patients had surgery history |
|
| Female: 4 | Fever: 11(64.7%) | |||||
| Cough: 9(52.9%) |
Abbreviation: NA, not available.
This was estimated and calculated from first symptom to death.
Variables were expressed as median and range.