Highlights
-
•
As of 29 Feb. 2020, COVID-19 has affected 85 403 patients in 57 countries/territories and caused 2924 deaths in 9 countries.
-
•
The incidence (per 1 000 000 people) ranged from 61.4 in Republic of Korea to 0.0002 in India.
-
•
Daily cumulative index (DCI) of COVID-19 (cumulative cases/no. of days between first reported case and 29 Feb. 2020) was greatest in China (1320.85).
-
•
High DCIs were also seen in the Republic of Korea (78.78), Iran (43.11) and Italy (30.62).
-
•
The incidence and mortality were correlated with the DCI.
Keywords: Coronavirus disease 2019, COVID-19, Disease incidence, Daily cumulative index, Mortality, Country healthcare resources
Abstract
It has been 2 months since the first case of coronavirus disease 2019 (COVID-19) was reported in Wuhan, China. So far, COVID-19 has affected 85 403 patients in 57 countries/territories and has caused 2924 deaths in 9 countries. However, epidemiological data differ between countries. Although China had higher morbidity and mortality than other sites, the number of new daily cases in China has been lower than outside of China since 26 February 2020. The incidence ranged from 61.44 per 1 000 000 people in the Republic of Korea to 0.0002 per 1 000 000 people in India. The daily cumulative index (DCI) of COVID-19 (cumulative cases/no. of days between the first reported case and 29 February 2020) was greatest in China (1320.85), followed by the Republic of Korea (78.78), Iran (43.11) and Italy (30.62). However, the DCIs in other countries/territories were <10 per day. Several effective measures including restricting travel from China, controlling the distribution of masks, extensive investigation of COVID-19 spread, and once-daily press conferences by the government to inform and educate people were aggressively conducted in Taiwan. This is probably the reason why there was only 39 cases (as of 29 February 2020) with a DCI of 1 case per day in Taiwan, which is much lower than that of nearby countries such as the Republic of Korea and Japan. In addition, the incidence and mortality were correlated with the DCI. However, further study and continued monitoring are needed to better understand the underlying mechanism of COVID-19.
1. Global epidemiology of coronavirus disease 2019 (COVID-19)
Since the first reported case of COVID-19 in Wuhan, China, at the end of 2019, COVID-19 has rapidly spread throughout China and has also involved many other countries despite global efforts to prevent its spread [1], [2], [3], [4]. According to a report of the World Health Organization (WHO), COVID-19 has affected 85 403 patients in 57 countries/territories and has caused 2924 deaths as of 29 February 2020, of which approximately 92.9% of cases and 97.1% of deaths have been in China [1]. Among these 57 countries/territories, cases reported in 20 countries/territories were attributed to local transmission of COVID-19, whilst those in 37 countries/regions were imported cases. However, the incidence and mortality of COVID-19 varied in different countries//territories. The incidence ranged from 61.44 per 1 000 000 people in Republic of Korea to 0.0002 per 1 000 000 people in India (Table 1 ).
Table 1.
Country/territory | Cumulative case no. | No. of deaths | Mortality rate (%) | Incidence per 1 000 000 population | Deaths per 1 000 000 population | DCI | GDP ($US) | HCI [5] | Days since last reported case | Local transmission |
---|---|---|---|---|---|---|---|---|---|---|
Asia | ||||||||||
China | 79 251 | 2835 | 3.58 | 55.06 | 1.97 | 1320.85 | 10 098 | 64.48 | 0 | Yes |
Republic of Korea | 3150 | 17 | 0.54 | 61.44 | 0.33 | 78.78 | 31 430 | 81.97 | 0 | Yes |
Japan | 230 | 5 | 2.17 | 1.82 | 0.04 | 5.11 | 40 846 | 81.14 | 25 | Yes |
Singapore | 98 | 0 | 0.00 | 16.75 | 0.00 | 2.72 | 63 987 | 70.84 | 0 | Yes |
Hong Kong SAR | 94 | 2 | 2.13 | 12.54 | 0.27 | 2.54 | 49 334 | 66.08 | 0 | Yes |
Thailand | 42 | 0 | 0.00 | 0.60 | 0.00 | 0.89 | 7791 | 77.95 | 0 | Yes |
Taiwan | 39 | 1 | 2.56 | 1.64 | 0.04 | 1.03 | 24 827 | 86.71 | 0 | Yes |
Australia | 24 | 0 | 0.00 | 0.94 | 0.00 | 0.69 | 50 022 | 77.38 | 0 | Yes |
Malaysia | 24 | 0 | 0.00 | 0.74 | 0.00 | 0.71 | 11 136 | 68.10 | 2 | Yes |
Vietnam | 16 | 0 | 0.00 | 0.16 | 0.00 | 0.44 | 2740 | 57.70 | 16 | Yes |
Macau SAR | 10 | 0 | 0.00 | 15.40 | 0.00 | 0.27 | 81 151 | NA | 25 | No |
Philippines | 3 | 1 | 33.33 | 0.03 | 0.01 | 0.10 | 3294 | 67.47 | 33 | No |
India | 3 | 0 | 0.00 | 0.00 | 0.00 | 0.10 | 2171 | 67.13 | 0 | Yes |
Cambodia | 1 | 0 | 0.00 | 0.06 | 0.00 | 0.03 | 1620 | NA | 26 | No |
Nepal | 1 | 0 | 0.00 | 0.03 | 0.00 | 0.03 | 1047 | 56.88 | 47 | No |
Sri Lanka | 1 | 0 | 0.00 | 0.05 | 0.00 | 0.03 | 3946 | 72.53 | 33 | No |
New Zealand | 1 | 0 | 0.00 | 0.21 | 0.00 | 1.00 | 40 634 | 73.81 | 1 | No |
Subtotal | 82 988 | 2861 | 3.45 | |||||||
America | ||||||||||
USA | 62 | 0 | 0.00 | 0.19 | 0.00 | 1.68 | 65 111 | 69.27 | 0 | Yes |
Canada | 14 | 0 | 0.00 | 0.37 | 0.00 | 0.42 | 46 212 | 71.58 | 0 | No |
Brazil | 1 | 0 | 0.00 | 0.00 | 0.00 | 0.50 | 8796 | 56.29 | 3 | No |
Mexico | 2 | 0 | 0.00 | 0.02 | 0.00 | NA | 10 118 | 70.12 | 0 | No |
Subtotal | 79 | 0 | 0.00 | |||||||
Europe | ||||||||||
Italy | 888 | 21 | 2.36 | 14.69 | 0.35 | 30.62 | 32 946 | 66.59 | 0 | Yes |
Germany | 57 | 0 | 0.00 | 0.68 | 0.00 | 1.78 | 46 563 | 73.32 | 0 | Yes |
France | 57 | 2 | 3.51 | 0.87 | 0.03 | 1.63 | 41 760 | 79.99 | 0 | Yes |
Spain | 32 | 0 | 0.00 | 0.68 | 0.00 | 1.14 | 29 961 | 78.88 | 0 | Yes |
UK | 20 | 0 | 0.00 | 0.29 | 0.00 | 0.71 | 41 030 | 74.46 | 0 | Yes |
Sweden | 12 | 0 | 0.00 | 1.19 | 0.00 | 0.43 | 51 241 | 69.23 | 0 | No |
Switzerland | 10 | 0 | 0.00 | 1.16 | 0.00 | 3.33 | 83 716 | 72.44 | 0 | No |
Norway | 6 | 0 | 0.00 | 1.11 | 0.00 | 3.00 | 77 975 | 74.36 | 0 | No |
Israel | 5 | 0 | 0.00 | 0.58 | 0.00 | 0.71 | 42 823 | 73.29 | 0 | No |
Austria | 5 | 0 | 0.00 | 0.56 | 0.00 | 1.67 | 50 022 | 78.73 | 0 | No |
Croatia | 5 | 0 | 0.00 | 1.22 | 0.00 | 1.67 | 14 949 | 62.68 | 0 | Yes |
Greece | 3 | 0 | 0.00 | 0.29 | 0.00 | 1.50 | 19 974 | 56.21 | 2 | No |
Romania | 3 | 0 | 0.00 | 0.16 | 0.00 | 1.50 | 12 482 | 55.06 | 0 | No |
Russian Federation | 2 | 0 | 0.00 | 0.01 | 0.00 | 0.07 | 11 162 | 57.59 | 29 | No |
Finland | 2 | 0 | 0.00 | 0.36 | 0.00 | 0.07 | 48 868 | 75.79 | 3 | No |
Denmark | 2 | 0 | 0.00 | 0.35 | 0.00 | 1.00 | 59 795 | 80.00 | 0 | No |
Georgia | 2 | 0 | 0.00 | 0.50 | 0.00 | 1.00 | 4289 | 51.24 | 0 | No |
Netherland | 2 | 0 | 0.00 | 1.17 | 0.00 | 2.00 | 52 367 | 74.65 | 0 | No |
Estonia | 1 | 0 | 0.00 | 0.75 | 0.00 | 0.50 | 23 523 | 72.67 | 2 | No |
Belgium | 1 | 0 | 0.00 | 0.09 | 0.00 | 0.04 | 45 175 | 74.34 | 0 | No |
North Macedonia | 1 | 0 | 0.00 | 0.48 | 0.00 | 0.50 | 6096 | 56.38 | 3 | No |
Belarus | 1 | 0 | 0.00 | 0.11 | 0.00 | 1.00 | 6603 | 59.04 | 1 | No |
Lithuania | 1 | 0 | 0.00 | 0.37 | 0.00 | 1.00 | 19 266 | 69.49 | 1 | No |
San Marino | 1 | 0 | 0.00 | 29.47 | 0.00 | NA | 47 279 | NA | 0 | Yes |
Subtotal | 1119 | 23 | 2.06 | |||||||
Eastern Mediterranean region | ||||||||||
Iran | 388 | 34 | 8.76 | 4.62 | 0.40 | 43.11 | 5506 | 51.70 | 0 | Yes |
Kuwait | 45 | 0 | 0.00 | 10.54 | 0.00 | 9.00 | 29 266 | 56.21 | 0 | No |
Bahrain | 38 | 0 | 0.00 | 22.33 | 0.00 | 9.50 | 25 273 | NA | 0 | No |
United Arab Emirates | 19 | 0 | 0.00 | 1.92 | 0.00 | 0.61 | 37 749 | 67.04 | 2 | Yes |
Iraq | 8 | 0 | 0.00 | 0.20 | 0.00 | 2.00 | 5738 | 41.36 | 2 | No |
Oman | 6 | 0 | 0.00 | 1.17 | 0.00 | 1.50 | 17 791 | 58.15 | 2 | No |
Lebanon | 2 | 0 | 0.00 | 0.29 | 0.00 | 0.29 | 9654 | 64.38 | 3 | No |
Pakistan | 2 | 0 | 0.00 | 0.01 | 0.00 | 1.00 | 1388 | 60.59 | 3 | No |
Afghanistan | 1 | 0 | 0.00 | 0.03 | 0.00 | 0.25 | 513 | NA | 5 | No |
Egypt | 1 | 0 | 0.00 | 0.01 | 0.00 | 0.07 | 3046 | 45.84 | 15 | No |
Subtotal | 510 | 34 | 6.67 | |||||||
Africa | ||||||||||
Algeria | 1 | 0 | 0.00 | 0.02 | 0.33 | 3980 | 54.86 | 0 | No | |
Nigeria | 1 | 0 | 0.00 | 0.00 | 1.00 | 2222 | 51.59 | 0 | No | |
Subtotal | 2 | 0 | 0.00 | |||||||
International conveyance | 705 | 6 | 0.85 | 29.38 | 3 | Yes | ||||
Total | 85 403 | 2924 | 3.42 |
DCI, daily cumulative index (cumulative cases/no. of days between the first reported case and 29 February 2020); GDP, gross domestic product; HCI, Health Care Index; NA, not applicable.
2. COVID-19 in different geographical regions of the world
To date, five regions have observed COVID-19 cases, including Asia, Eastern Mediterranean region, Europe, America and Africa. Of course, the highest incidence of COVID-19 was reported in Asia (n = 82 988), followed by Europe (n = 1119), Eastern Mediterranean region (n = 510), America (n = 79) and Africa (n = 2) (Fig. 1 ). Within the last week of February, the number of new cases was highest in Asia (n = 5019), followed by Europe (n = 998) and the Eastern Mediterranean region (n = 467). The overall mortality rate was highest in the Eastern Mediterranean region (6.67%; n = 34), followed by Asia (3.45%; n = 2861) and Europe (2.06%; n = 23%). In contrast, there had been no deaths in America or Africa as of 29 February 2020.
3. Disease incidence, mortality rate and daily cumulative index of COVID-19 by country
The incidence (cases per 1 000 000 population) of COVID-19 cases was highest in the Republic of Korea (61.44), followed by China (55.06), San Marino (29.47), Bahrain (22.33), Singapore (16.75, Macau Special Administrative Region (SAR) (15.40), Italy (14.69), Hong Kong SAR (12.54), Kuwait (10.54) and Iran (4.62). In the other 47 countries, the incidence of COVID-19 cases was <2 per 1 000 000 population. Only nine countries had observed COVID-19-associated deaths, and the mortality rate ranged from 33.33% (1/3) in the Philippines to 0.54% (17/3150) in the Republic of Korea.
The daily cumulative index (DCI) of COVID-19 cases is defined as the cumulative cases/no. of days between the first reported case and 29 February 2020. The DCI was greatest in China (1320.85), followed by the Republic of Korea (78.78), Iran (43.11), Italy (30.62), Bahrain (9.50), Kuwait (9.00) and Japan (5.11). The DCI in other countries/SARs was <4 per day.
3.1. China
China has the highest number of COVID-19 cases in the world (n = 79 251), with an incidence of 55.06 per 1 000 000 people. Among these cases, 2835 patients died, with an overall mortality rate of 3.58%. Despite the increasing trend of daily new cases in the early stage, the trend of daily new cases appeared to decline with time since late February 2020. Moreover, the number of daily new cases in China has been lower than outside of China since 26 February 2020. According to the Chinese Center for Disease Control and Prevention [5], 81% of patients with COVID-19 had a mild case and 87% were aged 30–79 years. In addition, 3.8% of those with COVID-19 were healthcare personnel. The case fatality rate was higher in those with critical cases (49%) and patients aged ≥80 years (14.8%) [5].
3.2. International conveyance (Diamond Princess)
Until the end of February 2020, 705 of the 3700 passengers on the Diamond Princess cruise ship had confirmed COVID-19 and 6 died, with a mortality rate of 0.85%. The basic reproduction rate (R0) was initially four times higher on-board than the R0 in Wuhan. However, implementation of isolation and quarantine procedures helped to prevent the spread of COVID-19 in more than 2000 passengers and lowered the R0 to 1.78 [6]. Although the experience of this cruise ship provided a good model for understanding the behaviour of COVID-19 spread, the spread of disease could have been prevented if all passengers and crew were evacuated early.
3.3. Countries/territories with more than 100 cumulative cases
In addition to China, four countries (Republic of Korea, Japan, Italy and Iran) had ≥100 COVID-19 cases. Besides Japan, which showed slowly increasing cases, the other three countries had a rapid increase in COVID-19 incidence since late February (Fig. 2 A). Among these four countries, Iran had the highest mortality (n = 34), with a mortality rate of 8.76%. Although these countries had more COVID-19 cases than other sites except China, the number of cases appeared to increase with time.
3.4. Countries/territories with 10–99 cumulative cases
Five countries/territories had 50–99 cumulative cases, including Hong Kong SAR, Singapore, USA, Germany and France. Although the first COVID-19 case reported in these five sites occurred in late January 2020, the number of cases continued to increase at the end of February (Fig. 2B). Seven countries had 20–49 cumulative cases, including Taiwan, Australia, Malaysia, the UK, Spain, Bahrain and Kuwait. Except the five countries whose first cases were reported in late January 2020, the first COVID-19 cases in Bahrain and Kuwait were reported on 25 February and 29 February 2020, respectively (Fig. 2C). Six countries/territories had 10–19 cumulative cases, including Switzerland, United Arab Emirates, Macau SAR, Sweden, Vietnam and Canada. Except Switzerland, all of the other five reported the first cases before February (Fig. 2D). In addition, no new cases were reported in Macau SAR and Vietnam for 25 days and 16 days, respectively.
3.5. Countries/territories with a stable number of COVID-19 cases
Ten of fifty-seven countries/regions had stable numbers of COVID-19 cases for ≥15 days, including Nepal, Cambodia, Sri Lanka, Russian Federation, India, Macau SAR, the Philippines, Belgium, Vietnam and Egypt. The days since last reported case was highest for Nepal (n = 47), followed by Sri Lanka (n = 33) and Cambodia (n = 26). Except Vietnam and Macau SAR (which had 16 and 10 COVID-19 cases, respectively), the other eight countries had a total of ≤3 cases. In addition to the Philippines, none of them reported of any COVID-19-related deaths.
3.6. Taiwan
Taiwan is a country geographically near China and that has a close contact with China, making it more susceptible to COVID-19 spread. To manage this challenge, infection control measures including prohibiting travel from China, controlling the distribution of face masks, extensive investigation of COVID-19 spread, and a once-daily press conference by the government to inform and educate people were aggressively conducted in Taiwan (Fig. 3 A). Under these interventions, Taiwan has a total of 39 cases with a DCI of 1 case per day, which was much lower than that of the nearby countries such as the Republic of Korea and Japan (Fig. 3B). Among the 39 patients, 18 acquired the COVID-19 infection outside of Taiwan, of whom 3 were Chinese visitors from China, whilst the other 21 developed the infection in Taiwan (http://nidss.cdc.gov.tw/ch/SingleDisease.aspx?dc=1&dt=5&disease=19CoV). Four familial cluster transmissions and one nosocomial transmission were reported. To date, 11 patients were discharged (Fig. 3C). Several important actions and responses conducted by the National Health Command Center of Taiwan, including border control, resource re-allocation, case identification (using new data and technology), quarantine of suspicious cases using big data analytics, reassurance and education of the public, mask control and hand hygiene, and formulation of policies toward schools and childcare, have so far successfully alleviated the crisis and contained the epidemic in Taiwan [7].
4. Association between mortality and disease incidence
Based on the earlier experience in China, Ji et al. found a significant correlation between mortality and healthcare resource availability (r = 0.61) [8]. We wonder whether the association between mortality and healthcare burden can be demonstrated outside of China and whether there are other confounding factors, such as the level of health care. Therefore, we used two indexes to represent the level of healthcare: Health Care Index (HCI) [9] and Healthcare Access and Quality Index (HAQI) [10]. The HCI is based on surveys from visitors of one open website and questions for these surveys are similar to many similar scientific and government surveys [9]. The HAQI uses 32 scaled cause values, providing an overall score of 0–100 of personal healthcare access and quality by location over time [10]. First, we found that the mortality rate, incidence and death per 1 000 000 people were correlated with the DCI (Spearman's rank-order correlation, all P < 0.05) (Fig. 4 A) and this association was more prominent in countries with local transmission (Table 2 ). This finding is consistent with the findings of Ji et al. [8] and suggests that rapidly increasing cases in a short time can result in more cases and even more deaths. Second, the incidence was associated with life expectancy (r = 0.613, P < 0.001). This could be because countries with more older adults were more likely to acquire COVID-19. Finally, the incidence was found to be correlated with both HAQI (r = 0.516, P < 0.001) and HCI (r = 0.345, P < 0.012), but mortality and deaths per 1 000 000 people were not associated with the level of health care (Fig. 4B,C). This finding may be explained by the fact that countries with more advanced healthcare systems have better diagnostic ability to identify more cases. By contrast, no death cases were reported in most countries; thus, no significant correlation could be found. However, further study is warranted to clarify these findings.
Table 2.
Countries with local transmission |
Countries with imported cases only |
|||
---|---|---|---|---|
r | P-value | r | P-value | |
Disease incidence (per 1 000 000 population) | ||||
DCI | 0.737 | <0.001 | 0.524 | 0.001 |
HCI | −0.050 | 0.835 | 0.384 | 0.030 |
HAQI | 0.307 | 0.201 | 0.628 | <0.001 |
Mortality rate (%) | ||||
DCI | 0.642 | 0.002 | −0.171 | 0.327 |
HCI | 0.000 | 1.000 | 0.010 | 0.958 |
HAQI | 0.161 | 0.510 | −0.215 | 0.263 |
Deaths (per 1 000 000 population) | ||||
DCI | 0.747 | <0.001 | −0.168 | 0.351 |
HCI | −0.073 | 0.760 | −0.011 | 0.955 |
HAQI | 0.177 | 0.468 | −0.215 | 0.273 |
DCI = cumulative cases/no. of days between the first reported case and 29 February 2020).
5. Conclusion
Between 31 December 2019 and 29 February 2020, COVID-19 has affected more than 80 000 patients in 57 countries/territories and caused 2924 deaths in 9 countries. Although China had higher morbidity and mortality rates than other sites, the number of daily new cases has been lower in China than outside of China since 26 February 2020. Seven countries had a DCI of >5 cases per day, but the DCI of the other fifty countries/territories was <4 cases per day. The incidence and mortality rates were correlated with DCI, especially in countries with local transmission. Overall, this preliminary report shows us the initial epidemiological findings of COVID-19, but continuous monitoring of patients with this disease is still warranted.
Acknowledgments
Funding: None.
Competing interests: None declared.
Ethical approval: Not required.
Editor: Jean-Marc Rolain
References
- 1.World Health Organization (WHO) WHO; Geneva, Switzerland: 2020. Coronavirus disease 2019 (COVD-19). Situation report – 40.https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200229-sitrep-40-covid-19.pdf?sfvrsn=849d0665_2 Data as reported by 10AM CET 29 February 2020. [accessed 17 March 2020] [Google Scholar]
- 2.Guan W.J., Ni Z.Y., Hu Y., Liang W.H., Ou C.Q., He J.X. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med. 2020 Feb 28 doi: 10.1056/NEJMoa2002032. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Lai C.C., Shih T.P., Ko W.C., Tang H.J., Hsueh P.R. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): the epidemic and the challenges. Int J Antimicrob Agents. 2020;55 doi: 10.1016/j.ijantimicag.2020.105924. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lai C.C., Liu Y.H., Wang C.Y., Wang Y.H., Hsueh S.C., Yen M.Y. Asymptomatic carrier state, acute respiratory disease, and pneumonia due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2): facts and myths. J Microbiol Immunol Infect. 2020 March 4 doi: 10.1016/j.jmii.2020.02.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Wu Z., McGoogan J.M. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China. Summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. JAMA. 2020 Feb 24 doi: 10.1001/jama.2020.2648. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 6.Rocklov J., Sjodin H., Wilder-Smith A. COVID-19 outbreak on the Diamond Princess cruise ship: estimating the epidemic potential and effectiveness of public health countermeasures. J Travel Med. 2020 Feb 28 doi: 10.1093/jtm/taaa030. pii: taaa030 [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Wang C.J., Ng C.Y., Brook R.H. Response to COVID-19 in Taiwan: big data analytics, new technology, and proactive testing. JAMA. 2020 Mar 3 doi: 10.1001/jama.2020.3151. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
- 8.Ji Y.M.Z., Peppelenbosch M.P., Pan Q. Potential association between COVID-19 mortality and health-care resource availability. Lancet Glob Health. 2020 February 25 doi: 10.1016/S2214-109X(20)30068-1. [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Health Care Index by country 2020. https://www.numbeo.com/health-care/rankings_by_country.jsp[accessed 1 March 2020].
- 10.GBD 2016 Healthcare Access and Quality Collaborators Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. Lancet. 2018;391:2236–2271. doi: 10.1016/S0140-6736(18)30994-2. [DOI] [PMC free article] [PubMed] [Google Scholar]