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Estimating the lethal impact of a pandemic on a religious community with significant barriers to outsiders can be exceedingly difficult. Nevertheless, Stein and colleagues (2021) developed an innovative means of arriving at such an estimate for the lethal impact of COVID-19 on the Amish community in 2020 by counting user-generated death reports in the widely circulated Amish periodical The Budget. By comparing monthly averages of reported deaths before and during the COVID-19 pandemic, Stein and colleagues were able to arrive at a rough estimate of "excess deaths" during the first year of the pandemic. Our research extends the same research method, applying it to the years during and immediately preceding the global influenza pandemic of 1918. Results show similarly robust findings, including three notable "waves" of excess deaths among Amish and conservative Mennonites in the USA in 1918, 1919, and 1920. Such results point to the promise of utilizing religious periodicals like The Budget as a relatively untapped trove of user-generated data on public health outcomes among religious minorities more than a century in the past. [ABSTRACT FROM AUTHOR]

Virus attacks have had devastating effects on mankind. The prominent viruses such as Ebola virus (2012), SARS-CoV or Severe acute respiratory syndrome, Middle East respiratory syndrome-related coronavirus called as the MERS (EMC/2012), Spanish flu (H1N1 virus-1918) and the most recent COVID-19(SARS-CoV-2) are the ones that have created a difficult situation for the survival of the human race. Currently, throughout the world, a global pandemic situation has put economy, livelihood and human existence in a very pathetic situation. Most of the above-mentioned viruses exhibit some similar characteristics and genetic pattern. Analysing such characteristics and genetic pattern can help the researchers to get a deeper insight into the viruses and helps in finding appropriate medicine or cure. To address these issues, this paper proposes an experimental analysis of the above-mentioned viruses data using correlation methods. The virus data considered for the experimental analysis include the distribution of various amino acids, protein sequences, 3D modelling of viruses, pairwise alignment of proteins that comprise the DNA genome of the viruses. Furthermore, this comparative analysis can be used by the researchers and organizations like WHO(World Health Organization), computational biologists, genetic engineers to frame a layout for studying the DNA sequence distribution, percentage of GC (guanine–cytosine) protein which determines the heat stability of viruses. We have used the Biopython to illustrate the gene study of prominent viruses and have derived results and insights in the form of 3D modelling. The experimental results are more promising with an accuracy rate of 96% in overall virus relationship calculation. [ABSTRACT FROM AUTHOR]

In this paper, we discuss the classical modelling approach of pandemics as a negative labour shock. We perform an archival analysis of one of the largest Italian banks (Credito Italiano) during the First World War – Spanish Flu period (1914–1920). In particular, we scrutinise the circulars that the central management of the bank sent out to the local branches, with the aim to assess whether the Spanish Flu has been perceived by contemporaries as an event seriously affecting personnel management. Though restricted to a single case-study, archival evidence does not support the existence of a remarkable negative labour supply shock affecting personnel management because of the Spanish Flu pandemic. Other war-related events probably increased the system's resilience. [ABSTRACT FROM AUTHOR]

Although mortality from COVID-19 progressively increases with age, there are controversial data in the literature on the probability of centenarians dying from COVID-19. Moreover, it has been claimed that men in their 90s and 100s are more resilient than women. To gain insight into this matter, we analysed, according to gender, mortality data during the first year of pandemic of Sicilian nonagenarians and centenarians. We used mortality data from the 2019 as a control. The crude excess mortality between the two years was calculated. Data on deaths of Sicilian 90 + years show that, in line with what is known about the different response to infections between the two genders, oldest females are more resilient to COVID-19 than males. Moreover, centenarians born before 1919, but not "younger centenarians", are resilient to COVID-19. This latter datum should be related to the 1918 Spanish flu epidemic, although the mechanisms involved are not clear. [ABSTRACT FROM AUTHOR]

Pre-war baseball attendance data afford a unique opportunity to assess how leisure spending fared not only through deflation but also after such shocks as the Spanish Flu of 1918 and the 1929 Wall Street Crash. Long-run analysis via a vector error correction model (VECM) reveals significant cointegration of baseball attendance with both prices and output. A long-run positive relationship with prices offers evidence of a negative impact of deflation on leisure spending, suggesting that deflation is indeed more to be feared than inflation. There are also apparent parallels between the post-pandemic boom in leisure spending in 1919 and the post-2020 experience. [ABSTRACT FROM AUTHOR]

Aim: In view of the spread of the contagious coronavirus disease (COVID-19) globally, the present review focuses on the details of past pandemic diseases, along with comparisons and lessons learned. A general awareness of COVID-19 infection is addressed, and it is compared with the Spanish flu pandemic. Based on the successes, failures and lessons learned in the past, governmental efforts must be undertaken to empower citizens by providing accurate information and implementing post-COVID-19 precautions that need to be taken now to stop the spread and recurrence of the virus locally, and to restore health and economic normalcy. Methods: A detailed literature survey of past pandemics is undertaken in order to extract the successes, failures and lessons learned from previous breakouts. The comparison of past pandemics will enable us to determine post-COVID-19 precautions that should be followed. Separate tables are prepared to highlight the lessons learned and measures to be taken. Both general precautions and preventive measures for pregnant women are compiled. Results: The literature shows a continuous struggle of humans with disease outbreaks, with the most adverse impact of the Spanish flu killing 20–50 million people. Precautions need to be taken including social distancing, compulsory mask-wearing, avoiding public gatherings and washing hands regularly. The lessons from earlier pandemics show that they were equally devastating, and vaccines were not available at the time of outbreaks. Vaccines developed for polio, H1N1, measles, and other viral diseases have proven to save countless lives. Living with COVID-19 and evolving the work culture of protecting oneself and protecting others also has to be adopted. Conclusions: COVID-19 has become an everyday topic of discussion throughout the world, indicating the increasing number of COVID-19 cases, deaths and recoveries. The lessons learned from past pandemics such as social distancing, wearing masks, avoiding public gatherings and adherence to guidelines, along with personal hygiene, are the key measures that must be taken in order to live with COVID-19. Precautions for the elderly and pregnant women advised by medical authorities are to be strictly adhered to. These will help in reducing COVID-19 cases and in turn will reduce the pressure on hospitals to serve those in need. India has learned lessons from the past and the present pandemic and will move towards growth through its self-reliance. [ABSTRACT FROM AUTHOR]

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Copyright of Der Urologe A is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Nonhomogeneous Markov models of nucleotide substitution have received scant attention. Here we explore the possibility of using nonhomogeneous models to identify host shift nodes along phylogenetic trees of pathogens evolving in different hosts. It has been noticed that influenza viruses show marked differences in nucleotide composition in human and avian hosts. We take advantage of this fact to identify the host shift event that led to the 1918 ‘Spanish’ influenza. This disease killed over 50 million people worldwide, ranking it as the deadliest pandemic in recorded history. Our model suggests that the eight RNA segments which eventually became the 1918 viral genome were introduced into a mammalian host around 1882–1913. The viruses later diverged into the classical swine and human H1N1 influenza lineages around 1913–1915. The last common ancestor of human strains dates from February 1917 to April 1918. Because pigs are more readily infected with avian influenza viruses than humans, it would seem that they were the original recipient of the virus. This would suggest that the virus was introduced into humans sometime between 1913 and 1918. [ABSTRACT FROM AUTHOR]