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- W4384132457 abstract "Abstract Background Over the past decades, Outbreaks of numerous infectious diseases have become international emergencies; one of the epidemics of the 21st century was the Covid-19 pandemic. Since the beginning of the corona virus, mass vaccination has been proposed as one of the most effective ways to end this epidemic. Yet, even after vaccination, re-infection with severe acute respiratory syndrome coronavirus2 (SARS-CoV-2) may occur which is called breakthrough infections, because the Covid-19 vaccines do not offer 100% protection. For this reason, our goal is to investigate the effectiveness of the covid-19 vaccination in reducing cases of infection and mortality Methods In this study, Proportional Vaccinated Case (P.V.C) was used to calculate the effectiveness of vaccination in the city of Shiraz and the cities covered by Shiraz University of Medical Sciences between August 23 and December 21, 2022. Our data is gathered from electronic collection systems, including the Sib system, the CORONA LAB system, and the MCMC system. Result the Effectiveness of all vaccines were studied in reducing morbidity and mortality in people who had injected their second dose of vaccine and 14 days or more had passed since their injection was 48.17% and 97.47%, respectively. In contrast, for BIBP-CorV vaccine these numbers are estimated to be 49.58% and 92.88% respectively. Conclusion Finally, the aim of this study was to use a new approach to calculate the effectiveness of the vaccine in reducing mortality and infection. Our study showed that vaccination has been effective in reducing deaths caused by covid-19، although the effective results of vaccination in our study in reducing cases of infection wasn't very high .Yet, more and more extensive studies on different strains of the Covid-19 virus are required to prove this issue." @default.
- W4384132457 created "2023-07-14" @default.
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- W4384132457 date "2023-07-13" @default.
- W4384132457 modified "2023-09-25" @default.
- W4384132457 title "New approach to estimate effectiveness of vaccination against COVID - 19: a proportional case vaccinated-based model" @default.
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- W4384132457 doi "https://doi.org/10.21203/rs.3.rs-3152551/v1" @default.
- W4384132457 hasPublicationYear "2023" @default.
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