Cargando…

Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China

BACKGROUND: Influenza is a seasonal infectious disease, and meteorological parameters critically influence the incidence of influenza. However, the meteorological parameters linked to influenza occurrence in semi-arid areas are not studied in detail. This study aimed to clarify the impact of meteoro...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Jinyu, Zhang, Ling, Lei, Ruoyi, Li, Pu, Li, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902077/
https://www.ncbi.nlm.nih.gov/pubmed/35273941
http://dx.doi.org/10.3389/fpubh.2022.833710
_version_ 1784664514651750400
author Wang, Jinyu
Zhang, Ling
Lei, Ruoyi
Li, Pu
Li, Sheng
author_facet Wang, Jinyu
Zhang, Ling
Lei, Ruoyi
Li, Pu
Li, Sheng
author_sort Wang, Jinyu
collection PubMed
description BACKGROUND: Influenza is a seasonal infectious disease, and meteorological parameters critically influence the incidence of influenza. However, the meteorological parameters linked to influenza occurrence in semi-arid areas are not studied in detail. This study aimed to clarify the impact of meteorological parameters on influenza incidence during 2010–2019 in Lanzhou. The results are expected to facilitate the optimization of influenza-related public health policies by the local healthcare departments. METHODS: Descriptive data related to influenza incidence and meteorology during 2010–2019 in Lanzhou were analyzed. The exposure-response relationship between the risk of influenza occurrence and meteorological parameters was explored according to the distributed lag no-linear model (DLNM) with Poisson distribution. The response surface model and stratified model were used to estimate the interactive effect between relative humidity (RH) and other meteorological parameters on influenza incidence. RESULTS: A total of 6701 cases of influenza were reported during 2010–2019. DLNM results showed that the risk of influenza would gradually increase as the weekly mean average ambient temperature (AT), RH, and absolute humidity (AH) decrease at lag 3 weeks when they were lower than 12.16°C, 51.38%, and 5.24 g/m(3), respectively. The low Tem (at 5th percentile, P(5)) had the greatest effect on influenza incidence; the greatest estimated relative risk (RR) was 4.54 (95%CI: 3.19–6.46) at cumulative lag 2 weeks. The largest estimates of RRs for low RH (P(5)) and AH (P(5)) were 4.81 (95%CI: 3.82–6.05) and 4.17 (95%CI: 3.30–5.28) at cumulative lag 3 weeks, respectively. An increase in AT by 1°C led to an estimates of percent change (95%CI) of 3.12% (−4.75% to −1.46%) decrease in the weekly influenza case counts in a low RH environment. In addition, RH showed significant interaction with AT and AP on influenza incidence but not with wind speed. CONCLUSION: This study indicated that low AT, low humidity (RH and AH), and high air pressure (AP) increased the risk of influenza. Moreover, the interactive effect of low RH with low AT and high AP can aggravate the incidence of influenza.
format Online
Article
Text
id pubmed-8902077
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89020772022-03-09 Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China Wang, Jinyu Zhang, Ling Lei, Ruoyi Li, Pu Li, Sheng Front Public Health Public Health BACKGROUND: Influenza is a seasonal infectious disease, and meteorological parameters critically influence the incidence of influenza. However, the meteorological parameters linked to influenza occurrence in semi-arid areas are not studied in detail. This study aimed to clarify the impact of meteorological parameters on influenza incidence during 2010–2019 in Lanzhou. The results are expected to facilitate the optimization of influenza-related public health policies by the local healthcare departments. METHODS: Descriptive data related to influenza incidence and meteorology during 2010–2019 in Lanzhou were analyzed. The exposure-response relationship between the risk of influenza occurrence and meteorological parameters was explored according to the distributed lag no-linear model (DLNM) with Poisson distribution. The response surface model and stratified model were used to estimate the interactive effect between relative humidity (RH) and other meteorological parameters on influenza incidence. RESULTS: A total of 6701 cases of influenza were reported during 2010–2019. DLNM results showed that the risk of influenza would gradually increase as the weekly mean average ambient temperature (AT), RH, and absolute humidity (AH) decrease at lag 3 weeks when they were lower than 12.16°C, 51.38%, and 5.24 g/m(3), respectively. The low Tem (at 5th percentile, P(5)) had the greatest effect on influenza incidence; the greatest estimated relative risk (RR) was 4.54 (95%CI: 3.19–6.46) at cumulative lag 2 weeks. The largest estimates of RRs for low RH (P(5)) and AH (P(5)) were 4.81 (95%CI: 3.82–6.05) and 4.17 (95%CI: 3.30–5.28) at cumulative lag 3 weeks, respectively. An increase in AT by 1°C led to an estimates of percent change (95%CI) of 3.12% (−4.75% to −1.46%) decrease in the weekly influenza case counts in a low RH environment. In addition, RH showed significant interaction with AT and AP on influenza incidence but not with wind speed. CONCLUSION: This study indicated that low AT, low humidity (RH and AH), and high air pressure (AP) increased the risk of influenza. Moreover, the interactive effect of low RH with low AT and high AP can aggravate the incidence of influenza. Frontiers Media S.A. 2022-02-22 /pmc/articles/PMC8902077/ /pubmed/35273941 http://dx.doi.org/10.3389/fpubh.2022.833710 Text en Copyright © 2022 Wang, Zhang, Lei, Li and Li. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Wang, Jinyu
Zhang, Ling
Lei, Ruoyi
Li, Pu
Li, Sheng
Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title_full Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title_fullStr Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title_full_unstemmed Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title_short Effects and Interaction of Meteorological Parameters on Influenza Incidence During 2010–2019 in Lanzhou, China
title_sort effects and interaction of meteorological parameters on influenza incidence during 2010–2019 in lanzhou, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8902077/
https://www.ncbi.nlm.nih.gov/pubmed/35273941
http://dx.doi.org/10.3389/fpubh.2022.833710
work_keys_str_mv AT wangjinyu effectsandinteractionofmeteorologicalparametersoninfluenzaincidenceduring20102019inlanzhouchina
AT zhangling effectsandinteractionofmeteorologicalparametersoninfluenzaincidenceduring20102019inlanzhouchina
AT leiruoyi effectsandinteractionofmeteorologicalparametersoninfluenzaincidenceduring20102019inlanzhouchina
AT lipu effectsandinteractionofmeteorologicalparametersoninfluenzaincidenceduring20102019inlanzhouchina
AT lisheng effectsandinteractionofmeteorologicalparametersoninfluenzaincidenceduring20102019inlanzhouchina