| Literature DB >> 32036011 |
D Katterine Bonilla-Aldana1, Yeimer Holguin-Rivera2, Isabella Cortes-Bonilla2, María C Cardona-Trujillo3, Alejandra García-Barco2, Hugo A Bedoya-Arias2, Ali A Rabaan4, Ranjit Sah5, Alfonso J Rodriguez-Morales6.
Abstract
INTRODUCTION: Sources describing the global burden of emerging diseases accurately are still limited. We reviewed coronavirus infections reported by ProMED and assessed the reliability of the data retrieved compared to published reports. We evaluated the effectiveness of ProMED as a source of epidemiological data on coronavirus.Entities:
Keywords: Coronavirus; Epidemiology; Outbreak; ProMED
Mesh:
Year: 2020 PMID: 32036011 PMCID: PMC7102564 DOI: 10.1016/j.tmaid.2020.101575
Source DB: PubMed Journal: Travel Med Infect Dis ISSN: 1477-8939 Impact factor: 6.211
The number of infected and fatal coronavirus cases reported to ProMED between 2000 and 2020.
| Country | Infected patients, n | Country of origin, imported cases | Reported deaths, n | CFR% | % SARS-CoV | % MERS-CoV | % 2019-nCoV | % |
|---|---|---|---|---|---|---|---|---|
| China | 589 | 34 | 5.8 | 0.2 | 0 | 99.8 | 0 | |
| United Arab Emirates | 183 | 80 | 43.7 | 0 | 100 | 0 | 0 | |
| Saudi Arabia | 158 | 71 | 44.9 | 1.3 | 95.6 | 0 | 3.8 | |
| Jordan | 11 | 2 | 18.2 | 0 | 0 | 0 | 100.0 | |
| United Kingdom | 9 | 4 from Qatar, 2 from Saudi Arabia (1 died) | 1 | 11.1 | 44.4 | 11.11 | 0 | 44.4 |
| Thailand | 5 | China | 0 | 0.0 | 0 | 0 | 100.0 | 0 |
| France | 2 | 1 from Saudi Arabia and 1 from United Arab Emirates | 0 | 0.0 | 0 | 100.0 | 0 | 0 |
| Qatar | 1 | 0 | 0.0 | 100.0 | 0 | 0 | 0 | |
| Japan | 1 | China | 0 | 0.0 | 0 | 100.0 | 0 | 0 |
| Nepal | 1 | China | 0 | 0.0 | 0 | 100.0 | 0 | 0 |
| South Korea | 1 | China | 0 | 0.0 | 0 | 100.0 | 0 | 0 |
| USA | 1 | China | 0 | 0.0 | 0 | 100.0 | 0 | 0 |
CFR%, case fatality rate.
imported cases.
Fig. 1Number of reports on “coronavirus” per year, ProMED, 2000–2020.
Coronavirus cases reported to ProMED in animals between 2000 and 2020.
| Country | Reports | % | % | n, animals | |||||
|---|---|---|---|---|---|---|---|---|---|
| ECoV | SDCV | PDCoV | PEDV | MERS-CoV | Others CoV | ||||
| USA | 17 | 48.57 | 41.2 | 17.6 | 11.8 | 11.8 | 0.0 | 17.6 | 10154 |
| China | 4 | 11.43 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 294 |
| Brazil | 4 | 11.42 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 8 |
| Saudi Arabia | 3 | 8.57 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 1 |
| Canada | 2 | 5.71 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | N/A |
| Ecuador | 1 | 2.86 | 0.0 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1341 |
| Ireland | 1 | 2.86 | 100.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 5 |
| Myanmar | 1 | 2.86 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | N/A |
| Qatar | 1 | 2.86 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 1 |
| UAE | 1 | 2.86 | 0.0 | 0.0 | 0.0 | 0.0 | 100.0 | 0.0 | 14 |
PDCoV, porcine deltacoronavirus; SDCV, swine delta coronavirus; PEDV, porcine epidemic diarrhea virus; MERS, Middle East Respiratory Syndrome.