Cargando…
Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study
OBJECTIVE: Mumps is a seasonal infectious disease, always occurring in winter and spring. In this study, we aim to analyze its epidemiological characteristics, transmissibility, and its correlation with meteorological variables. METHOD: A seasonal Susceptible–Exposed–Infectious/Asymptomatic–Recovere...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062423/ https://www.ncbi.nlm.nih.gov/pubmed/35573860 http://dx.doi.org/10.1016/j.idm.2022.04.004 |
_version_ | 1784698937911803904 |
---|---|
author | Huang, Jie-feng Zhao, Ze-yu Lu, Wen-kui Rui, Jia Deng, Bin Liu, Wei-kang Yang, Tian-long Li, Zhuo-yang Li, Pei-hua Liu, Chan Luo, Li Zhao, Bin Wang, Yi-fang Li, Qun Wang, Ming-zhai Chen, Tianmu |
author_facet | Huang, Jie-feng Zhao, Ze-yu Lu, Wen-kui Rui, Jia Deng, Bin Liu, Wei-kang Yang, Tian-long Li, Zhuo-yang Li, Pei-hua Liu, Chan Luo, Li Zhao, Bin Wang, Yi-fang Li, Qun Wang, Ming-zhai Chen, Tianmu |
author_sort | Huang, Jie-feng |
collection | PubMed |
description | OBJECTIVE: Mumps is a seasonal infectious disease, always occurring in winter and spring. In this study, we aim to analyze its epidemiological characteristics, transmissibility, and its correlation with meteorological variables. METHOD: A seasonal Susceptible–Exposed–Infectious/Asymptomatic–Recovered model and a next-generation matrix method were applied to estimate the time-dependent reproduction number (R(t)). RESULTS: The seasonal double peak of annual incidence was mainly in May to July and November to December. There was high transmission at the median of R(t) = 1.091 (ranged: 0 to 4.393). R(t) was seasonally distributed mainly from February to April and from September to November. Correlations were found between temperature (Pearson correlation coefficient [r] ranged: from 0.101 to 0.115), average relative humidity (r = 0.070), average local pressure (r = -0.066), and the number of new cases. In addition, average local pressure (r = 0.188), average wind speed (r = 0.111), air temperature (r ranged: -0.128 to -0.150), average relative humidity (r = -0.203) and sunshine duration (r = -0.075) were all correlated with R(t). CONCLUSION: A relatively high level of transmissibility has been found in Xiamen City, leading to a continuous epidemic of mumps. Meteorological factors, especially air temperature and relative humidity, may be more closely associated with mumps than other factors. |
format | Online Article Text |
id | pubmed-9062423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-90624232022-05-13 Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study Huang, Jie-feng Zhao, Ze-yu Lu, Wen-kui Rui, Jia Deng, Bin Liu, Wei-kang Yang, Tian-long Li, Zhuo-yang Li, Pei-hua Liu, Chan Luo, Li Zhao, Bin Wang, Yi-fang Li, Qun Wang, Ming-zhai Chen, Tianmu Infect Dis Model Original Research Article OBJECTIVE: Mumps is a seasonal infectious disease, always occurring in winter and spring. In this study, we aim to analyze its epidemiological characteristics, transmissibility, and its correlation with meteorological variables. METHOD: A seasonal Susceptible–Exposed–Infectious/Asymptomatic–Recovered model and a next-generation matrix method were applied to estimate the time-dependent reproduction number (R(t)). RESULTS: The seasonal double peak of annual incidence was mainly in May to July and November to December. There was high transmission at the median of R(t) = 1.091 (ranged: 0 to 4.393). R(t) was seasonally distributed mainly from February to April and from September to November. Correlations were found between temperature (Pearson correlation coefficient [r] ranged: from 0.101 to 0.115), average relative humidity (r = 0.070), average local pressure (r = -0.066), and the number of new cases. In addition, average local pressure (r = 0.188), average wind speed (r = 0.111), air temperature (r ranged: -0.128 to -0.150), average relative humidity (r = -0.203) and sunshine duration (r = -0.075) were all correlated with R(t). CONCLUSION: A relatively high level of transmissibility has been found in Xiamen City, leading to a continuous epidemic of mumps. Meteorological factors, especially air temperature and relative humidity, may be more closely associated with mumps than other factors. KeAi Publishing 2022-04-24 /pmc/articles/PMC9062423/ /pubmed/35573860 http://dx.doi.org/10.1016/j.idm.2022.04.004 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Original Research Article Huang, Jie-feng Zhao, Ze-yu Lu, Wen-kui Rui, Jia Deng, Bin Liu, Wei-kang Yang, Tian-long Li, Zhuo-yang Li, Pei-hua Liu, Chan Luo, Li Zhao, Bin Wang, Yi-fang Li, Qun Wang, Ming-zhai Chen, Tianmu Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title | Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title_full | Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title_fullStr | Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title_full_unstemmed | Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title_short | Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study |
title_sort | correlation between mumps and meteorological factors in xiamen city, china: a modelling study |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062423/ https://www.ncbi.nlm.nih.gov/pubmed/35573860 http://dx.doi.org/10.1016/j.idm.2022.04.004 |
work_keys_str_mv | AT huangjiefeng correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT zhaozeyu correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT luwenkui correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT ruijia correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT dengbin correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT liuweikang correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT yangtianlong correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT lizhuoyang correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT lipeihua correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT liuchan correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT luoli correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT zhaobin correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT wangyifang correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT liqun correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT wangmingzhai correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy AT chentianmu correlationbetweenmumpsandmeteorologicalfactorsinxiamencitychinaamodellingstudy |