| Literature DB >> 35455011 |
Taufique Warsi1,2, Tanvi Arora1, Syed Shams Rizvi3, Ali Raza Moosvi3, M A Mohammed Aslam3, Mohammad Muqtada Ali Khan4, Arifullah Mohammed5.
Abstract
A pneumonia outbreak was primarily reported in the fall of 2019 in Wuhan, Hubei province, China, with the identity SARS-CoV-2, a novel coronavirus. It quickly grew from a local epidemic to a global pandemic and was declared a public health emergency by the WHO. A total of three prominent waves were identified across the globe, with a slight temporal variability as per the geographical locations, and has impacted several sectors which connect the world. By March 2022, the coronavirus had infected 444.12 million people and claimed 6.01 million human lives worldwide, and these numbers have not yet stabilized. Our paper enlightens readers on the seven strains of human coronaviruses, with special emphasis on the three severe deadliest outbreaks (SARS-2002, MERS-2012, and COVID-19). This work attempts a comprehensive understanding of the coronavirus and its impact on the possible sectors that link the world through the economic chain, climate conditions, SDGs, recycling of the event, and mitigations. There are many points that are raised by the authors in the possible sectors, which are emerging or are as yet unnoticed and thus have not been taken into consideration. This comprehension will leave sets of new challenges and opportunities for the researchers in various streams, especially in earth sciences. Science-integrated research may help to prevent upcoming disasters as a by-product of (existing) epidemics in the form of coronavirus.Entities:
Keywords: COVID recycling; SARS-CoV-2; SDGs; climate; economy; mitigation; pandemic
Year: 2022 PMID: 35455011 PMCID: PMC9025651 DOI: 10.3390/life12040520
Source DB: PubMed Journal: Life (Basel) ISSN: 2075-1729
Figure 1Worldwide distribution of corona cases across the spectrum (above 5000 cases, as of 26 September 2021).
Classification of Human coronavirus at its critical bar.
| Type (Coronaviruses) | Symptoms | Classified |
|---|---|---|
| 1 | Mild | Human coronavirus OC43 (HCoV-OC43) |
| 2 | Mild | Human coronavirus HKU1 |
| 3 | Mild | Human coronavirus NL63 (HCoV-NL63, New Haven coronavirus) |
| 4 | Mild | Human coronavirus 229E (HCoV-229E) |
| 5 | Severe | The Middle East respiratory syndrome-related coronavirus (MERS-CoV) |
| 6 | Severe | Severe acute respiratory syndrome coronavirus (SARS-CoV or “SARS-classic”) |
| 7 | Severe | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) |
Illustrates the distinction among recent bat-borne coronaviruses.
| Viruses | Source | Mediator | Acceptor | Case Fatality Rate | Incubation Period | Reference |
|---|---|---|---|---|---|---|
| SARS (2002) | Bat | Civet | Human | 916/8422 × 100 = 10.8% | 2–7 days | [ |
| MERS (2012) | Bat | Camel | Human | 850/2500 × 100 = 34% | 2–14 days | [ |
| COVID (2019) | Bat | Pangolin | Human | 6.1 M/444.12 M × 100 = 1.35% † | 2–14 days (still uncertain) | [ |
(† Case fatality rate is calculated as of 5 March 2022, with the available data provided by coronavirus world meter; these figures may vary as the containment time increases).
Figure 2Migration of COVID-19 across the globe (Data source: Worldometer and WHO).
Figure 3Impact on the global supply chain given the coronavirus outbreak, Cousin (2020). (Source: OECD TiVA Bloomberg Economics, Adapted with permission from Ref. [32]).
Figure 4Impact of COVID-19 on SDGs (Jude and Adaeze 2020). (Source: www.eresearchjournal.com, accessed on 15 December 2020. Adapted with permission from Ref. [52]. Jude Chukwunyere Iwuoha and Adaeze Ukamaka Jude-Iwuoha (2020)).