Cargando…

COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?

SIMPLE SUMMARY: Every epidemic generates a series of problems of a health, economic, social, and environmental nature at a local and/or planetary level. It is essential to identify them, understand their dynamic evolution, and then find a solution as soon as possible. In this study, a simple mathema...

Descripción completa

Detalles Bibliográficos
Autores principales: Boselli, Pietro M., Soriano, Jose M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135801/
https://www.ncbi.nlm.nih.gov/pubmed/37106784
http://dx.doi.org/10.3390/biology12040584
_version_ 1785032066769879040
author Boselli, Pietro M.
Soriano, Jose M.
author_facet Boselli, Pietro M.
Soriano, Jose M.
author_sort Boselli, Pietro M.
collection PubMed
description SIMPLE SUMMARY: Every epidemic generates a series of problems of a health, economic, social, and environmental nature at a local and/or planetary level. It is essential to identify them, understand their dynamic evolution, and then find a solution as soon as possible. In this study, a simple mathematical model was used to interpret the temporal trends of the positive-alive and the dead. The purpose of this study is to find a way to predict, if possible, the duration of the epidemic and its phases. Obviously, the epidemic will last until the number of positive-alive collapses towards zero, and that of the accumulated dead will stabilize at the maximum value. The analysis was conducted in Italy in the period between January 2020 and December 2022. The results obtained show that both the analyzes of the positive-alive and dead curves provide reliable predictions that are consistent with each other. However, the analysis of cumulative deaths leads to more precise forecasts of the duration of both the phases and the entire development of the epidemic. ABSTRACT: When an epidemic breaks out, many health, economic, social, and political problems arise that require a prompt and effective solution. It would be useful to obtain all information about the virus, including epidemiological ones, as soon as possible. In a previous study of our group, the analysis of the positive-alive was proposed to estimate the epidemic duration. It was stated that every epidemic ends when the number of positive-alive (=infected-healed-dead) glides toward zero. In fact, if with the contagion everyone can enter the epidemic phenomenon, only by healing or dying can they get out of it. In this work, a different biomathematical model is proposed. A necessary condition for the epidemic to be resolved is that the mortality reaches the asymptotic value, from there, remains stable. At that time, the number of positive-alive must also be close to zero. This model seems to allow us to interpret the entire development of the epidemic and highlight its phases. It is also more appropriate than the previous one, especially when the spread of the infection is so rapid that the increase in live positives is staggering.
format Online
Article
Text
id pubmed-10135801
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-101358012023-04-28 COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts? Boselli, Pietro M. Soriano, Jose M. Biology (Basel) Communication SIMPLE SUMMARY: Every epidemic generates a series of problems of a health, economic, social, and environmental nature at a local and/or planetary level. It is essential to identify them, understand their dynamic evolution, and then find a solution as soon as possible. In this study, a simple mathematical model was used to interpret the temporal trends of the positive-alive and the dead. The purpose of this study is to find a way to predict, if possible, the duration of the epidemic and its phases. Obviously, the epidemic will last until the number of positive-alive collapses towards zero, and that of the accumulated dead will stabilize at the maximum value. The analysis was conducted in Italy in the period between January 2020 and December 2022. The results obtained show that both the analyzes of the positive-alive and dead curves provide reliable predictions that are consistent with each other. However, the analysis of cumulative deaths leads to more precise forecasts of the duration of both the phases and the entire development of the epidemic. ABSTRACT: When an epidemic breaks out, many health, economic, social, and political problems arise that require a prompt and effective solution. It would be useful to obtain all information about the virus, including epidemiological ones, as soon as possible. In a previous study of our group, the analysis of the positive-alive was proposed to estimate the epidemic duration. It was stated that every epidemic ends when the number of positive-alive (=infected-healed-dead) glides toward zero. In fact, if with the contagion everyone can enter the epidemic phenomenon, only by healing or dying can they get out of it. In this work, a different biomathematical model is proposed. A necessary condition for the epidemic to be resolved is that the mortality reaches the asymptotic value, from there, remains stable. At that time, the number of positive-alive must also be close to zero. This model seems to allow us to interpret the entire development of the epidemic and highlight its phases. It is also more appropriate than the previous one, especially when the spread of the infection is so rapid that the increase in live positives is staggering. MDPI 2023-04-11 /pmc/articles/PMC10135801/ /pubmed/37106784 http://dx.doi.org/10.3390/biology12040584 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Boselli, Pietro M.
Soriano, Jose M.
COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title_full COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title_fullStr COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title_full_unstemmed COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title_short COVID-19 in Italy: Is the Mortality Analysis a Way to Estimate How the Epidemic Lasts?
title_sort covid-19 in italy: is the mortality analysis a way to estimate how the epidemic lasts?
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10135801/
https://www.ncbi.nlm.nih.gov/pubmed/37106784
http://dx.doi.org/10.3390/biology12040584
work_keys_str_mv AT bosellipietrom covid19initalyisthemortalityanalysisawaytoestimatehowtheepidemiclasts
AT sorianojosem covid19initalyisthemortalityanalysisawaytoestimatehowtheepidemiclasts