Objectives: Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic.Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortalityacross all age groups to assess the global impact and specifically examined the top 20 countrieswith the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85. Methods: We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women. Results: Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and > 85), the highest mean excess mortality was observed in women over the age of 85. Conclusion The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statisticalmodels using the data: a binomial distribution model and a correlation coefficient model,both considering the mean excess deaths in older men and women across these 3 age groups.Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Objectives: Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic.Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortalityacross all age groups to assess the global impact and specifically examined the top 20 countrieswith the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85. Methods: We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women. Results: Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and > 85), the highest mean excess mortality was observed in women over the age of 85. Conclusion The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statisticalmodels using the data: a binomial distribution model and a correlation coefficient model,both considering the mean excess deaths in older men and women across these 3 age groups.Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Objectives: Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic.Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortalityacross all age groups to assess the global impact and specifically examined the top 20 countrieswith the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85. Methods: We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women. Results: Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and > 85), the highest mean excess mortality was observed in women over the age of 85. Conclusion The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statisticalmodels using the data: a binomial distribution model and a correlation coefficient model,both considering the mean excess deaths in older men and women across these 3 age groups.Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Objectives: Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic.Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortalityacross all age groups to assess the global impact and specifically examined the top 20 countrieswith the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85. Methods: We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women. Results: Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and > 85), the highest mean excess mortality was observed in women over the age of 85. Conclusion The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statisticalmodels using the data: a binomial distribution model and a correlation coefficient model,both considering the mean excess deaths in older men and women across these 3 age groups.Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Objectives: Mortality statistics during the coronavirus disease 2019 (COVID-19) pandemic are crucial for the allocation of medical care resources and public health decision-making. This study was initiated to investigate the excess mortality among older adults during the pandemic.Our research focuses on 2 primary areas. First, we analyzed the cumulative excess mortalityacross all age groups to assess the global impact and specifically examined the top 20 countrieswith the highest mortality rates during the pandemic. Second, we explored excess deaths among older adults by categorizing data from the years 2020 and 2021 into age groups: 65–74, 75–84, and above 85. Methods: We analyzed data from the top 20 countries with the highest mortality rates globally, focusing on 3 components: all-cause mortality means, expected deaths mean, and excess deaths mean for both older men and women. Results: Although excess mortality is higher among older men and women across all 3 age groups (65–74, 75–84, and > 85), the highest mean excess mortality was observed in women over the age of 85. Conclusion The results indicate that the severe acute respiratory syndrome coronavirus 2 virus had a disproportionately intense impact on older women. We developed 2 types of statisticalmodels using the data: a binomial distribution model and a correlation coefficient model,both considering the mean excess deaths in older men and women across these 3 age groups.Estimating the excess mortality among older adults will aid in the formulation of healthcare policies for this demographic.

Coronavirus disease 2019 (COVID-19) has developed as a pandemic, and it created an outrageous effect on the current healthcare and economic system throughout the globe. To date, there is no appropriate therapeutics or vaccines against the disease. The entire human race is eagerly waiting for the development of new therapeutics or vaccines against severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Efforts are being taken to develop vaccines at a rapid rate for fighting against the ongoing pandemic situation. Amongst the various vaccines under consideration, some are either in the preclinical stage or in the clinical stages of development (phase-I, -II, and -III). Even, phase-III trials are being conducted for some repurposed vaccines like Bacillus Calmette–Guérin, polio vaccine, and measlesmumps-rubella. We have highlighted the ongoing clinical trial landscape of the COVID-19 as well as repurposed vaccines. An insight into the current status of the available antigenic epitopes for SARS-CoV-2 and different types of vaccine platforms of COVID-19 vaccines has been discussed. These vaccines are highlighted throughout the world by different news agencies. Moreover, ongoing clinical trials for repurposed vaccines for COVID-19 and critical factors associated with the development of COVID-19 vaccines have also been described.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus (CoV), has recently emerged as a significant pathogen for humans and the cause for the recent outbreak of the 2019 novel coronavirus disease (COVID-19) throughout the globe. For developing any preventive measure, an understanding of the zoonotic pattern for this virus is a necessity. We should have a clear knowledge of its reservoir host, its distribution pattern and spreading routes. Information about zoonotic reservoirs and its transmission among them can help to understand the COVID-19 outbreaks. In this article, we discuss about the bats as the zoonotic reservoir of several CoV strains, co-existence of bats and CoV/viruses, the sequence similarity of SARS-CoV-2 with bat SARS-like CoV, the probable source of the origin of SARS-CoV-2 strain and COVID-19 outbreak, intermediate host of CoVs and SARS-CoV-2, human to human transmission and the possibility to maintain the zoonotic barriers. Our knowledge about the zoonotic reservoir of SARS-CoV-2 and its transmission ability may help develop the preventive measures and control for the future outbreak of CoV.