Cargando…

Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020

BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Zhejiang Province, China, while few studies have concentrated on the influence of meteorological factors on HFRS incidence in the area. METHODS: Data on HFRS and meteorological factors from January 1, 2008 to December 31, 2020 in...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Rong, Zhang, Ning, Sun, Wanwan, Lin, Haijiang, Liu, Ying, Zhang, Tao, Tao, Mingyong, Sun, Jimin, Ling, Feng, Wang, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161505/
https://www.ncbi.nlm.nih.gov/pubmed/35650552
http://dx.doi.org/10.1186/s12889-022-13423-2
_version_ 1784719499462705152
author Zhang, Rong
Zhang, Ning
Sun, Wanwan
Lin, Haijiang
Liu, Ying
Zhang, Tao
Tao, Mingyong
Sun, Jimin
Ling, Feng
Wang, Zhen
author_facet Zhang, Rong
Zhang, Ning
Sun, Wanwan
Lin, Haijiang
Liu, Ying
Zhang, Tao
Tao, Mingyong
Sun, Jimin
Ling, Feng
Wang, Zhen
author_sort Zhang, Rong
collection PubMed
description BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Zhejiang Province, China, while few studies have concentrated on the influence of meteorological factors on HFRS incidence in the area. METHODS: Data on HFRS and meteorological factors from January 1, 2008 to December 31, 2020 in Taizhou City, Zhejiang Province were collected. Multivariate analysis was conducted to the relationship between meteorological factors including minimum temperatures, relative humidity, and cumulative rainfall with HFRS. RESULTS: The HFRS incidence peaked in November and December and it was negatively correlated with average and highest average temperatures. Compared with median of meteorological factors, the relative risks (RR) of weekly average temperature at 12 ℃, weekly highest temperature at 18 ℃relative humidity at 40%, and cumulative rainfall at 240 mm were most significant and RRs were 1.41 (95% CI: 1.09–1.82), 1.32 (95% CI: 1.05–1.66), 2.18 (95% CI: 1.16–4.07), and 1.91 (95% CI: 1.16–2.73), respectively. Average temperature, precipitation, relative humidity had interactions on HFRS and the risk of HFRS occurrence increased with the decrease of average temperature and the increase of precipitation. CONCLUSION: Our study results are indicative of the association of environmental factors with the HFRS incidence, probable recommendation could be use of environmental factors as early warning signals for initiating the control measure and response.  SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13423-2.
format Online
Article
Text
id pubmed-9161505
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-91615052022-06-03 Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020 Zhang, Rong Zhang, Ning Sun, Wanwan Lin, Haijiang Liu, Ying Zhang, Tao Tao, Mingyong Sun, Jimin Ling, Feng Wang, Zhen BMC Public Health Research BACKGROUND: Hemorrhagic fever with renal syndrome (HFRS) is endemic in Zhejiang Province, China, while few studies have concentrated on the influence of meteorological factors on HFRS incidence in the area. METHODS: Data on HFRS and meteorological factors from January 1, 2008 to December 31, 2020 in Taizhou City, Zhejiang Province were collected. Multivariate analysis was conducted to the relationship between meteorological factors including minimum temperatures, relative humidity, and cumulative rainfall with HFRS. RESULTS: The HFRS incidence peaked in November and December and it was negatively correlated with average and highest average temperatures. Compared with median of meteorological factors, the relative risks (RR) of weekly average temperature at 12 ℃, weekly highest temperature at 18 ℃relative humidity at 40%, and cumulative rainfall at 240 mm were most significant and RRs were 1.41 (95% CI: 1.09–1.82), 1.32 (95% CI: 1.05–1.66), 2.18 (95% CI: 1.16–4.07), and 1.91 (95% CI: 1.16–2.73), respectively. Average temperature, precipitation, relative humidity had interactions on HFRS and the risk of HFRS occurrence increased with the decrease of average temperature and the increase of precipitation. CONCLUSION: Our study results are indicative of the association of environmental factors with the HFRS incidence, probable recommendation could be use of environmental factors as early warning signals for initiating the control measure and response.  SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13423-2. BioMed Central 2022-06-01 /pmc/articles/PMC9161505/ /pubmed/35650552 http://dx.doi.org/10.1186/s12889-022-13423-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhang, Rong
Zhang, Ning
Sun, Wanwan
Lin, Haijiang
Liu, Ying
Zhang, Tao
Tao, Mingyong
Sun, Jimin
Ling, Feng
Wang, Zhen
Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title_full Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title_fullStr Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title_full_unstemmed Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title_short Analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in Taizhou City, China, 2008–2020
title_sort analysis of the effect of meteorological factors on hemorrhagic fever with renal syndrome in taizhou city, china, 2008–2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9161505/
https://www.ncbi.nlm.nih.gov/pubmed/35650552
http://dx.doi.org/10.1186/s12889-022-13423-2
work_keys_str_mv AT zhangrong analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT zhangning analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT sunwanwan analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT linhaijiang analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT liuying analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT zhangtao analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT taomingyong analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT sunjimin analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT lingfeng analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020
AT wangzhen analysisoftheeffectofmeteorologicalfactorsonhemorrhagicfeverwithrenalsyndromeintaizhoucitychina20082020