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Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model
Background: Small-scale studies have identified temperature and other meteorological factors as risk factors for human health. However, only a few have quantified the specific impact of meteorological factors on mumps. A quantitative examination of the exposure–response relationship between meteorol...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508524/ https://www.ncbi.nlm.nih.gov/pubmed/34639658 http://dx.doi.org/10.3390/ijerph181910359 |
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author | Zhu, Yuchen Zhang, Dandan Hu, Yuchen Li, Chunyu Jia, Yan She, Kaili Liu, Tingxuan Xu, Qing Zhang, Ying Li, Xiujun |
author_facet | Zhu, Yuchen Zhang, Dandan Hu, Yuchen Li, Chunyu Jia, Yan She, Kaili Liu, Tingxuan Xu, Qing Zhang, Ying Li, Xiujun |
author_sort | Zhu, Yuchen |
collection | PubMed |
description | Background: Small-scale studies have identified temperature and other meteorological factors as risk factors for human health. However, only a few have quantified the specific impact of meteorological factors on mumps. A quantitative examination of the exposure–response relationship between meteorological factors and mumps is needed to provide new insights for multi-city analysis. Methods: The daily recorded number of mumps cases and meteorological data in 17 cities of Shandong Province from 2009 to 2017 were collected. A two-stage model was built to explore the relationship between meteorological factors and mumps. Results: A total of 104,685 cases of mumps were recorded from 2009 to 2017. After controlling for seasonality and long-term trends, the effect of low temperature on mumps was significant at the provincial level, with a cumulative RR of 1.035 (95%CI: 1.002–1.069) with a 1-day lagged effect. The proportion of primary and middle school students was determined as an effect modifier, which had a significant impact on mumps (Stat = 8.374, p = 0.039). There was heterogeneity in the combined effect of temperature on mumps (Q = 95.447, p = 0.000), and its size was I(2) = 49.7%. Conclusions: We have identified a non-linear relationship between mumps and temperature in Shandong Province. In particular, low temperatures could bring more cases of mumps, with certain lagged effects. More public health measures should be taken to reduce the risks when temperatures are low, especially for cities with a high proportion of primary and secondary school students. |
format | Online Article Text |
id | pubmed-8508524 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85085242021-10-13 Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model Zhu, Yuchen Zhang, Dandan Hu, Yuchen Li, Chunyu Jia, Yan She, Kaili Liu, Tingxuan Xu, Qing Zhang, Ying Li, Xiujun Int J Environ Res Public Health Article Background: Small-scale studies have identified temperature and other meteorological factors as risk factors for human health. However, only a few have quantified the specific impact of meteorological factors on mumps. A quantitative examination of the exposure–response relationship between meteorological factors and mumps is needed to provide new insights for multi-city analysis. Methods: The daily recorded number of mumps cases and meteorological data in 17 cities of Shandong Province from 2009 to 2017 were collected. A two-stage model was built to explore the relationship between meteorological factors and mumps. Results: A total of 104,685 cases of mumps were recorded from 2009 to 2017. After controlling for seasonality and long-term trends, the effect of low temperature on mumps was significant at the provincial level, with a cumulative RR of 1.035 (95%CI: 1.002–1.069) with a 1-day lagged effect. The proportion of primary and middle school students was determined as an effect modifier, which had a significant impact on mumps (Stat = 8.374, p = 0.039). There was heterogeneity in the combined effect of temperature on mumps (Q = 95.447, p = 0.000), and its size was I(2) = 49.7%. Conclusions: We have identified a non-linear relationship between mumps and temperature in Shandong Province. In particular, low temperatures could bring more cases of mumps, with certain lagged effects. More public health measures should be taken to reduce the risks when temperatures are low, especially for cities with a high proportion of primary and secondary school students. MDPI 2021-10-01 /pmc/articles/PMC8508524/ /pubmed/34639658 http://dx.doi.org/10.3390/ijerph181910359 Text en © 2021 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 | Article Zhu, Yuchen Zhang, Dandan Hu, Yuchen Li, Chunyu Jia, Yan She, Kaili Liu, Tingxuan Xu, Qing Zhang, Ying Li, Xiujun Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title | Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title_full | Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title_fullStr | Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title_full_unstemmed | Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title_short | Exploring the Relationship between Mumps and Meteorological Factors in Shandong Province, China Based on a Two-Stage Model |
title_sort | exploring the relationship between mumps and meteorological factors in shandong province, china based on a two-stage model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8508524/ https://www.ncbi.nlm.nih.gov/pubmed/34639658 http://dx.doi.org/10.3390/ijerph181910359 |
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