| Literature DB >> 34012304 |
Jaffar Abbas1,2, Dake Wang2, Zhaohui Su3, Arash Ziapour4.
Abstract
BACKGROUND: This study focuses on how educating people through social media platforms can help reduce the mental health consequences of the COVID-19 to manage the global health crisis. The pandemic has posed a global mental health crisis, and correct information is indispensable to dispel uncertainty, fear, and mental stress to unify global communities in collective combat against COVID-19 disease worldwide. Mounting studies specified that manifestly endless coronavirus-related newsfeeds and death numbers considerably increased the risk of global mental health issues. Social media provided positive and negative data, and the COVID-19 has resulted in a worldwide infodemic. It has eroded public trust and impeded virus restraint, which outlived the coronavirus pandemic itself.Entities:
Keywords: COVID-19; health crisis; mental health; social media; social support; tele-education
Year: 2021 PMID: 34012304 PMCID: PMC8126999 DOI: 10.2147/RMHP.S284313
Source DB: PubMed Journal: Risk Manag Healthc Policy ISSN: 1179-1594
Figure 1Timeline of main events of the COVID-19 pandemic in Wuhan city, China.
COVID-19 Cases and Mortality, The Most Affected Countries, as of April 21, 2020 (First Wave)
| Country | Confirmed | Deaths | Case-Fatality | Deaths/100k Pop. |
|---|---|---|---|---|
| US | 784,326 | 42,094 | 5.40% | 12.87 |
| Italy | 181,228 | 24,114 | 13.30% | 39.9 |
| Spain | 200,210 | 20,852 | 10.40% | 44.63 |
| France | 156,480 | 20,292 | 13.00% | 30.29 |
| United Kingdom | 125,856 | 16,550 | 13.10% | 24.89 |
| Belgium | 39,983 | 5828 | 14.60% | 51.02 |
| Iran | 83,505 | 5209 | 6.20% | 6.37 |
| Germany | 147,065 | 4862 | 3.30% | 5.86 |
| China | 83,817 | 4636 | 5.50% | 0.33 |
| Netherlands | 33,588 | 3764 | 11.20% | 21.84 |
| Brazil | 40,743 | 2587 | 6.30% | 1.24 |
| Turkey | 90,980 | 2140 | 2.40% | 2.6 |
| Canada | 37,657 | 1725 | 4.60% | 4.65 |
| Sweden | 14,777 | 1580 | 10.70% | 15.52 |
| Switzerland | 27,944 | 1429 | 5.10% | 16.78 |
| Portugal | 20,863 | 735 | 3.50% | 7.15 |
| Ireland | 15,652 | 687 | 4.40% | 14.15 |
Note:Data from CSSE COVID-19 data; unpublished data; February 23, 2021.
Figure 2Cumulative confirmed cases of the COVID-19 pandemic, as of February 23, 2021.
Cases and Mortality by Most Affected Countries, as of February 23, 2021 (Second-Wave)
| Country | Confirmed | Deaths | Case-Fatality | Deaths/100k Pop. |
|---|---|---|---|---|
| United States | 28,188,571 | 500,244 | 1.8% | 152.90 |
| India | 11,016,434 | 156,463 | 1.4% | 11.57 |
| Brazil | 10,195,160 | 247,143 | 2.4% | 117.99 |
| United Kingdom | 4,138,233 | 120,988 | 2.9% | 181.97 |
| Russia | 4,130,447 | 82,255 | 2.0% | 56.93 |
| France | 3,669,354 | 84,764 | 2.3% | 126.54 |
| Spain | 3,153,971 | 67,636 | 2.1% | 144.76 |
| Italy | 2,818,863 | 95,992 | 3.4% | 158.84 |
| Turkey | 2,646,526 | 28,138 | 1.1% | 34.18 |
| Germany | 2,399,499 | 68,363 | 2.8% | 82.44 |
| Colombia | 2,229,663 | 58,974 | 2.6% | 118.78 |
| Argentina | 2,069,751 | 51,359 | 2.5% | 115.43 |
| Mexico | 2,043,632 | 180,536 | 8.8% | 143.07 |
| Poland | 1,642,658 | 42,188 | 2.6% | 111.08 |
| Iran | 1,582,275 | 59,572 | 3.8% | 72.83 |
| South Africa | 1,504,588 | 49,150 | 3.3% | 85.06 |
| Ukraine | 1,354,545 | 26,531 | 2.0% | 59.46 |
| Indonesia | 1,288,833 | 34,691 | 2.7% | 12.96 |
| Peru | 1,283,309 | 45,097 | 3.5% | 140.98 |
| Czechia | 1,157,180 | 19,330 | 1.7% | 181.92 |
| Netherlands | 1,075,425 | 15,372 | 1.4% | 89.21 |
| Pakistan | 573,384 | 12,658 | 2.2% | 5.96 |
Note: Data from CSSE COVID-19 data; unpublished data; February 23, 2021.
Figure 3The case fatality rate (CFR) of the COVID-19, as of February 23, 2021, worldwide.
Figure 4Daily new COVID-19 cases per million population, as of February 23, 2021, worldwide.
Figure 5COVID-19 active cases, recovery vs death rate in Pakistan, as of September 12, 2020.