How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018
Scrub typhus, caused by Orientia tsutsugamushi, is a serious public health problem in the Asia-Pacific region, threatening the health of more than one billion people. China is one of the countries with the most serious disease burden of scrub typhus. Previous epidemiological evidence indicated that...
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.992555/full |
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| author | Yizhe Luo Yizhe Luo Longyao Zhang Heng Lv Changqiang Zhu Lele Ai Yong Qi Na Yue Lingling Zhang Jiahong Wu Weilong Tan Weilong Tan |
| author_facet | Yizhe Luo Yizhe Luo Longyao Zhang Heng Lv Changqiang Zhu Lele Ai Yong Qi Na Yue Lingling Zhang Jiahong Wu Weilong Tan Weilong Tan |
| author_sort | Yizhe Luo |
| collection | DOAJ |
| description | Scrub typhus, caused by Orientia tsutsugamushi, is a serious public health problem in the Asia-Pacific region, threatening the health of more than one billion people. China is one of the countries with the most serious disease burden of scrub typhus. Previous epidemiological evidence indicated that meteorological factors may affect the incidence of scrub typhus, but there was limited evidence for the correlation between local natural environment factors dominated by meteorological factors and scrub typhus. This study aimed to evaluate the correlation between monthly scrub typhus incidence and meteorological factors in areas with high scrub typhus prevalence using a distributed lag non-linear model (DLNM). The monthly data on scrub typhus cases in ten provinces from 2006 to 2018 and meteorological parameters were obtained from the Public Health Science Data Center and the National Meteorological Data Sharing Center. The results of the single-variable and multiple-variable models showed a non-linear relationship between incidence and meteorological factors of mean temperature (Tmean), rainfall (RF), sunshine hours (SH), and relative humidity (RH). Taking the median of meteorological factors as the reference value, the relative risks (RRs) of monthly Tmean at 0°C, RH at 46%, and RF at 800 mm were most significant, with RRs of 2.28 (95% CI: 0.95–5.43), 1.71 (95% CI: 1.39–2.09), and 3.33 (95% CI: 1.89–5.86). In conclusion, relatively high temperature, high humidity, and favorable rainfall were associated with an increased risk of scrub typhus. |
| first_indexed | 2024-04-11T07:28:52Z |
| format | Article |
| id | doaj.art-9aa3bffded08496c830fad7648f75303 |
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| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-11T07:28:52Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-9aa3bffded08496c830fad7648f753032022-12-22T04:36:58ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-10-011010.3389/fpubh.2022.992555992555How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018Yizhe Luo0Yizhe Luo1Longyao Zhang2Heng Lv3Changqiang Zhu4Lele Ai5Yong Qi6Na Yue7Lingling Zhang8Jiahong Wu9Weilong Tan10Weilong Tan11Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaDepartment of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaCollege of Life Science, Fujian Agriculture and Forestry University, Fuzhou, ChinaGuizhou Medical University, School of Basic Medical Sciences, Guiyang, ChinaDepartment of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, ChinaNanjing Bioengineering (Gene) Technology Centre for Medicine, Nanjing, ChinaScrub typhus, caused by Orientia tsutsugamushi, is a serious public health problem in the Asia-Pacific region, threatening the health of more than one billion people. China is one of the countries with the most serious disease burden of scrub typhus. Previous epidemiological evidence indicated that meteorological factors may affect the incidence of scrub typhus, but there was limited evidence for the correlation between local natural environment factors dominated by meteorological factors and scrub typhus. This study aimed to evaluate the correlation between monthly scrub typhus incidence and meteorological factors in areas with high scrub typhus prevalence using a distributed lag non-linear model (DLNM). The monthly data on scrub typhus cases in ten provinces from 2006 to 2018 and meteorological parameters were obtained from the Public Health Science Data Center and the National Meteorological Data Sharing Center. The results of the single-variable and multiple-variable models showed a non-linear relationship between incidence and meteorological factors of mean temperature (Tmean), rainfall (RF), sunshine hours (SH), and relative humidity (RH). Taking the median of meteorological factors as the reference value, the relative risks (RRs) of monthly Tmean at 0°C, RH at 46%, and RF at 800 mm were most significant, with RRs of 2.28 (95% CI: 0.95–5.43), 1.71 (95% CI: 1.39–2.09), and 3.33 (95% CI: 1.89–5.86). In conclusion, relatively high temperature, high humidity, and favorable rainfall were associated with an increased risk of scrub typhus.https://www.frontiersin.org/articles/10.3389/fpubh.2022.992555/fullmeteorological factorsscrub typhusriskdistributed lag non-linear modelslag effect |
| spellingShingle | Yizhe Luo Yizhe Luo Longyao Zhang Heng Lv Changqiang Zhu Lele Ai Yong Qi Na Yue Lingling Zhang Jiahong Wu Weilong Tan Weilong Tan How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 Frontiers in Public Health meteorological factors scrub typhus risk distributed lag non-linear models lag effect |
| title | How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 |
| title_full | How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 |
| title_fullStr | How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 |
| title_full_unstemmed | How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 |
| title_short | How meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces, China, 2006–2018 |
| title_sort | how meteorological factors impacting on scrub typhus incidences in the main epidemic areas of 10 provinces china 2006 2018 |
| topic | meteorological factors scrub typhus risk distributed lag non-linear models lag effect |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.992555/full |
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