| Literature DB >> 35095263 |
Priyanka Ray Choudhury1, Tapoja Saha1, Sachin Goel2, Janvi Manish Shah3, Deepak Ganjewala1.
Abstract
BACKGROUND: The majority of pandemics are known to be a result of either bacteria or viruses out of which viruses seem to be an entity of growing concern due to the sheer number of yet unidentified and potentially threatening viruses, their ability to quickly evolve and transform, their ability to transfer and change from one host organism to another and the difficulty in creating safe vaccines on time. MAIN BODY: The present review attempts to bring forth the potential risks, prevention and its impact on the global society in terms of sociological and economic parameters. Taking hindsight from previously as well as ongoing current viral epidemics, this article aims to draw a concrete correlation between these viruses in terms of their origin, spread and attempts to compare how much they can affect the population. The study also assesses the worst-case scenarios and the amount of preparedness, required to fight against such pandemics and compares the required amount of preparedness to the current precautions and measures by different governments all across the world. SHORTEntities:
Keywords: ACE-2; COVID-19; Epidemiology; MERS; Pandemics; SARS-CoV-2; Vaccine; Zoonotic viruses
Year: 2022 PMID: 35095263 PMCID: PMC8787036 DOI: 10.1186/s42269-022-00701-7
Source DB: PubMed Journal: Bull Natl Res Cent ISSN: 1110-0591
Fig. 1The PRISMA flow diagram of the literature review process
Fig. 2Re-assortment of different influenza viral strains in intermediate organisms
Fig. 3Genera Alphacoronavirus including viruses that can infect human population example Including human coronavirus (HCov-NL63), porcine respiratory coronavirus (PRCV) and porcine transmissible gastroenteritis coronavirus (TGEV) and Betacoronaviruses which includes viruses that can infect human beings e.g., Bat coronavirus HKU4, SARS-CoV, mouse hepatitis virus (MHV), human coronavirus (OC43), bovine coronavirus(BCoV), and MERS-CoV. Gammacoronavirus includes viruses that are capable of infecting the avian population whereas Deltacoronavirus comprises viruses that can effectively infect mammalian as well as avian species e.g., Including infectious bronchitis coronavirus (IBV) and procrinedeltacoronavirus (PdCV), respectively
Fig. 4Structure of novel SARS-CoV-2 (COVID-19 coronavirus)
Estimated time of incubation as per WHO consensus
| Time of incubation | |
|---|---|
| Mean | 4–6 days |
| Median | 4–5 days |
| Minimum | 1 |
| Maximum | 14 |
Estimated incubation period (days) by geographical region (WHO 2003)
| The incubation period (Days) | ||||
|---|---|---|---|---|
| Area | Minimum | Maximum | Mean | Median |
| China | 1 | 12 | 4 | 4 |
| Vietnam | 5 | 10 | 6–7 | – |
| Singapore | 1 | 10 | 5.3 | 5 |
| Europe | 5 | 10 | 7.2 | 7 |
| Canada | 2 | 10 | 4.8 | 4.2 |
Fig. 5Crude case fatality ratios area-wise (According to WHO consensus)
Fig. 6Age-specific CFR (As per WHO consensus)
Fig. 7The case fatality rate (CFR) from Feb-March 2020 (as per ourworldindata.org). The CFR rates may vary according to the methodology used for calculation as well as the source of data taken
Fig. 8The total affected versus dead versus recovered patients of COVID-19 (as of 20th May 2020)
Comparison of estimated death tolls of pandemics (the numbers may vary from site to site).
Sources
| Pandemic | Year | Death count | Notes |
|---|---|---|---|
| Antonine Plague | 165 AD | 5 million | The cause is yet unknown although it is thought to have been measles or smallpox |
| The Black death | 1346–1353 | 75–200 million | Lead to mass deaths and devastation across three continents. Causative agent: |
| Third Cholera pandemic | 1852–1860 | 1 million | Considered to be the most deadliest of all the cholera pandemics; Originated in India |
| “Russian flu” | 1889–1890 | 1 million | Causative agent: Influenza A virus subtype H3N8 |
| Sixth Cholera pandemic | 1910–1911 | 800,000 + | – |
| “Spanish flu” | 1918 | 20–50 million | Affected young and healthy individuals; infected over a third of the world’s population |
| “Asian flu” | 1956–1958 | 2 million | – |
| SARS | 2002–2003 | 774 | – |
| MERS | 2012 | 912 | – |
| COVID-19 | 2019–2020 | 324,000 + | As of 20th May 2020 |
Fig. 9Comparison between SARS, MERS and COVID-19
Fig. 10Comparison of fatality
Fig. 11The top 10 countries are best prepared for a pandemic
Comparative analysis of the currently available vaccines.
Sources: The information summarized in the tables were extracted from the reports collected
| Name | Type | Efficacy (%) | Dosage | Storage | Country/origin |
|---|---|---|---|---|---|
| Covaxin | Inactivated virus vaccine | 81 | 2 doses with a gap of 28 days in between | + 2–8 °C | Bharat Biotech (India) |
| BBIBP—CorV | Inactivated virus vaccine | 72–86 | 2 doses with a gap of 21 days in between | + 2–8 °C | Sinopharm (China) |
| CoronaVac | Inactivated virus vaccine | 50.7–83.7 | 2 doses with a gap of 14 days in between | + 2–8 °C | SinoVac (China) |
| JNJ-78436735 | Viral vector vaccine | 72 | 1 dose | + 2–8 °C for short-term storage and − 20 °C for long term storage | Johnson and Johnson (USA) |
| Sputnik V | Viral vector vaccine | 91 | 2 doses with a gap of 21 days in between | + 2–8 °C for short-term storage and − 20 °C for long term storage | Gamaleya (Russia) |
| Novavax | Virus-like particle vaccine | 96 | 2 doses with a gap of 21 days in between | + 2–8 °C for short-term storage and − 20 °C for long term storage | (USA) |
| Covishield | Viral vector vaccine | 70–82 | 2 doses with a gap of upto 12 weeks in between | + 2–8 °C | Oxford/Astrazneca (UK and Sweden) |
| BioNTech/Pfizer | Encapsulated mRNA vaccine | 96 | 2 doses with a gap of 21 days in between | + 2–8 °C for 5 days and − 70 °C for longer duration | (USA and Germany) |
| Moderna | Encapsulated mRNA vaccine | 94.1 | 2 doses with a gap of 28 days in between | + 2–8 °C for short-term storage and − 20 °C for long term storage | USA |