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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9767883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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