COVID-19, a pandemicwhich flared in December-2019 has shaken the world thoroughly. The causative agent is Novel Coronavirus which was reported to be seen particularly in animals like bats, camel,cows and pigs . Despite the rare evidence of transmission of viruses from animals to the human population the new mutant version of virus was reportedto be originated from bats. A correlation of first case of COVID-19 was tracked back to an animal market in Wuhan. Different theories on transmission of this infection and safe distancing were put forth. The virus was found to be most infectious when an individual had high viral load. The symptoms of this infection varied from No symptoms to severe respiratory distress resulting in death. Until the exact case and definitive treatment was outlined, prevention was the only option to stay safe. So steps like quarantine, lockdown and limitations of mobility were suggested and implemented globally for containing the pandemic. This affected all the domains of business, production, industry, transportation and the supply side and resulting in diminished business. The world economy witnessed drastic downfall.Production deficiencies were also witnessed.On the contrary, sudden demands for certain items resulted rapid flourishing of business of few items including masks, sanitizers, antimalarial and antiviral medicines. This article has tried to incorporate reviews of impacts of Covid-19 on various sectors, industries and business.
Background This paper describes the utilization of a mathematical modeling tool for evaluating alternative testing cadences for the SARS-CoV-2 virus that are applicable to any well-contained congregate setting. These settings include long-term care facilities, and public-school systems. Results Variables analyzed include population sizes, contagion factor, and unique testing objectives that congregate settings might have (e.g., differing susceptibilities, or varying underlying health conditions). The tool helps evaluate cost vs benefit for a range of testing cadences (e.g., daily, every 2 days, every 3 days, every week, every 2 weeks every 3 weeks and every 4 weeks) based on use of a commercially available antigen testing kit that costs $5 per test. Conclusions Critical parameters derived as output of the model include total persons tested, average number in quarantine, average percent positives in quarantine, total testing cost, total infections allowed, cases averted, and cost per case averted. These parameters allow public health officials, site managers and/or on-site healthcare workers to optimize testing plans to align with available resources and support fact-based decision making. We also discuss how this tool can work with vaccine roll-out both in the United States and elsewhere.
People all over the world have limited their physical interactions as a result of the COVID-19 pandemic. Self-imposed social distance to prevent contagion, combined with strict confinement policies introduced in many nations, has effectively placed a significant portion of conventional brick-and-mortar retail on hold, at least for the time being. This study investigates the impact of covid-19 on consumers buying behavior and pattern in the e-commerce industry which determines the vital role of e-commerce during this pandemic. This study also focuses on consumers’ satisfaction towards online shopping and e-commerce. The result indicated that many of the respondents tried online shopping for the first time due to the COVID pandemic. The majority of the respondents increased their frequency of shopping through e-commerce companies since the outbreak and the major factor in the increase was convenience and offers and discounts available. The majority of respondents agree that e-commerce is important during the pandemic and prefer online shopping to brick-and-mortar retail shopping. They also indicated that that they will continue to shop online even after the pandemic is over.
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