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A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong

Since 2020, COVID-19 has launched a rather difficult challenge in public health all over the world. For the current situation of COVID-19 outbreaks in various places, predicting the trend of COVID-19 plays a vital role in later policy-making, allocating medical materials, and developing the economy...

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Detalles Bibliográficos
Autores principales: Ai, Hao, Wang, Qiubao, Liu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767883/
https://www.ncbi.nlm.nih.gov/pubmed/36568658
http://dx.doi.org/10.1016/j.heliyon.2022.e12469
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author Ai, Hao
Wang, Qiubao
Liu, Wei
author_facet Ai, Hao
Wang, Qiubao
Liu, Wei
author_sort Ai, Hao
collection PubMed
description Since 2020, COVID-19 has launched a rather difficult challenge in public health all over the world. For the current situation of COVID-19 outbreaks in various places, predicting the trend of COVID-19 plays a vital role in later policy-making, allocating medical materials, and developing the economy and society. Although there may be corresponding specific drugs soon, which can reduce the mortality of COVID-19 to a relatively low level, but the main popular Omicron BA.1 and BA.2 strain is highly infectious, which has a great impact on the elderly population, so COVID-19 cannot be equated with general influenza. This paper aims to predict the trend of the number of infections over time and the final number of infections from the fifth wave of epidemic in Hong Kong. To establish a more practical infection model, this paper introduces an infectious disease transmission model with the influence of temperature and vaccine. The model shows that the fifth wave of the epidemic in Hong Kong will end at the end of April 2022. At that time, the cumulative number of infections is expected to reach about 1.6 million. By formulating and implementing reasonable policies, the final number of infections can be controlled at about 1.1 million. Therefore, we hope that the policymakers and managers of COVID-19 in Hong Kong will formulate and adopt reasonable measures to control these epidemic.
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spelling pubmed-97678832022-12-21 A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong Ai, Hao Wang, Qiubao Liu, Wei Heliyon Research Article Since 2020, COVID-19 has launched a rather difficult challenge in public health all over the world. For the current situation of COVID-19 outbreaks in various places, predicting the trend of COVID-19 plays a vital role in later policy-making, allocating medical materials, and developing the economy and society. Although there may be corresponding specific drugs soon, which can reduce the mortality of COVID-19 to a relatively low level, but the main popular Omicron BA.1 and BA.2 strain is highly infectious, which has a great impact on the elderly population, so COVID-19 cannot be equated with general influenza. This paper aims to predict the trend of the number of infections over time and the final number of infections from the fifth wave of epidemic in Hong Kong. To establish a more practical infection model, this paper introduces an infectious disease transmission model with the influence of temperature and vaccine. The model shows that the fifth wave of the epidemic in Hong Kong will end at the end of April 2022. At that time, the cumulative number of infections is expected to reach about 1.6 million. By formulating and implementing reasonable policies, the final number of infections can be controlled at about 1.1 million. Therefore, we hope that the policymakers and managers of COVID-19 in Hong Kong will formulate and adopt reasonable measures to control these epidemic. Elsevier 2022-12-21 /pmc/articles/PMC9767883/ /pubmed/36568658 http://dx.doi.org/10.1016/j.heliyon.2022.e12469 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Ai, Hao
Wang, Qiubao
Liu, Wei
A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title_full A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title_fullStr A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title_full_unstemmed A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title_short A mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in Hong Kong
title_sort mathematical prediction model of infectious diseases considering vaccine and temperature, and its prediction in hong kong
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767883/
https://www.ncbi.nlm.nih.gov/pubmed/36568658
http://dx.doi.org/10.1016/j.heliyon.2022.e12469
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