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Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases
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publication venue for: Global epidemiology and impact of the SARS-CoV-2 pandemic
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RDF description of Global epidemiology and impact of the SARS-CoV-2 pandemic - http://orbis.uaslp.mx/vivo/individual/d11791
rights: termsOfUse
date: 2026-08-24T21:51:23
publisher: vivo
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Global epidemiology and impact of the SARS-CoV-2 pandemic
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page end: 42
has publication venue: Mathematical Modelling, Simulations, and AI for Emergent Pandemic Diseases
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freetext keyword: Epidemiology, Incidence, Lethality, Morality, Orphanhood, Public policies, SARS-CoV-2
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doi: 10.1016/B978-0-323-95064-0.00011-7
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abstract: In this chapter, we evaluated the development and impact of the SARS-CoV-2 pandemic. The evaluation was performed by continent and country. The structure of the weekly mortality curves on all continents is very different from the weekly incidence rate. With the data from the Johns Hopkins University Coronavirus Resource Center and the Institute of Health Metrics and Evaluation published in The Lancet, we have calculated the COVID-19 directed and associated mortality rate for 181 countries. Despite the structural similarity between the second, third, and fourth waves being similar, the weekly mortality rate intensity of the four waves was very asynchronous among all the countries. One of the primary consequences of this pandemic is orphanhood. Recently, the Imperial College of London has published a webpage that calculates the number of orphans generated by the COVID-19 pandemic. Despite the fact that before the SARS-CoV-2 outbreak there was plenty of scientific evidence about how to handle and/or mitigate a pandemic, almost every government adopted different policies with different anti-epidemic effects and impacts. © 2023 Elsevier B.V. All rights reserved.
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