Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China
Abstract Background Severe fever with thrombocytopenia syndrome (SFTS), one kind of tick-borne acute infectious disease, is caused by a novel bunyavirus. The relationship between meteorological factors and infectious diseases is a hot topic of current research. Liaoning Province has reported a high...
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BMC
2022-08-01
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Online Access: | https://doi.org/10.1186/s13071-022-05395-4 |
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author | Zijiang Wang Shiting Yang Li Luo Xiaohao Guo Bin Deng Zeyu Zhao Jia Rui Shanshan Yu Bin Zhao Yifang Wang Jingyi Chen Yingwei Sun Tianmu Chen Xinyu Feng |
author_facet | Zijiang Wang Shiting Yang Li Luo Xiaohao Guo Bin Deng Zeyu Zhao Jia Rui Shanshan Yu Bin Zhao Yifang Wang Jingyi Chen Yingwei Sun Tianmu Chen Xinyu Feng |
author_sort | Zijiang Wang |
collection | DOAJ |
description | Abstract Background Severe fever with thrombocytopenia syndrome (SFTS), one kind of tick-borne acute infectious disease, is caused by a novel bunyavirus. The relationship between meteorological factors and infectious diseases is a hot topic of current research. Liaoning Province has reported a high incidence of SFTS in recent years. However, the epidemiological characteristics of SFTS and its relationship with meteorological factors in the province remain largely unexplored. Methods Data on reported SFTS cases were collected from 2011 to 2019. Epidemiological characteristics of SFTS were analyzed. Spearman’s correlation test and generalized linear models (GLM) were used to identify the relationship between meteorological factors and the number of SFTS cases. Results From 2011 to 2019, the incidence showed an overall upward trend in Liaoning Province, with the highest incidence in 2019 (0.35/100,000). The incidence was slightly higher in males (55.9%, 438/783), and there were more SFTS patients in the 60–69 age group (31.29%, 245/783). Dalian City and Dandong City had the largest number of cases of SFTS (87.99%, 689/783). The median duration from the date of illness onset to the date of diagnosis was 8 days [interquartile range (IQR): 4–13 days]. Spearman correlation analysis and GLM showed that the number of SFTS cases was positively correlated with monthly average rainfall (r s = 0.750, P < 0.001; β = 0.285, P < 0.001), monthly average relative humidity (r s = 0.683, P < 0.001; β = 0.096, P < 0.001), monthly average temperature (r s = 0.822, P < 0.001; β = 0.154, P < 0.001), and monthly average ground temperature (r s = 0.810, P < 0.001; β = 0.134, P < 0.001), while negatively correlated with monthly average air pressure (r s = −0.728, P < 0.001; β = −0.145, P < 0.001), and monthly average wind speed (r s = −0.272, P < 0.05; β = −1.048, P < 0.001). By comparing both correlation coefficients and regression coefficients between the number of SFTS cases (dependent variable) and meteorological factors (independent variables), no significant differences were observed when considering immediate cases and cases with lags of 1 to 5 weeks for dependent variables. Based on the forward and backward stepwise GLM regression, the monthly average air pressure, monthly average temperature, monthly average wind speed, and time sequence were selected as relevant influences on the number of SFTS cases. Conclusion The annual incidence of SFTS increased year on year in Liaoning Province. Incidence of SFTS was affected by several meteorological factors, including monthly average air pressure, monthly average temperature, and monthly average wind speed. Graphical Abstract |
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spelling | doaj.art-0d757a5398e94312af6cd08454ad79c22022-12-22T02:48:35ZengBMCParasites & Vectors1756-33052022-08-0115111210.1186/s13071-022-05395-4Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, ChinaZijiang Wang0Shiting Yang1Li Luo2Xiaohao Guo3Bin Deng4Zeyu Zhao5Jia Rui6Shanshan Yu7Bin Zhao8Yifang Wang9Jingyi Chen10Yingwei Sun11Tianmu Chen12Xinyu Feng13Liaoning Provincial Center for Disease Control and PreventionState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityLaboratory Department, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Xiang’an Hospital of Xiamen UniversitySchool of Informatics, Xiamen UniversitySchool of Medicine, Nankai UniversityLiaoning Provincial Center for Disease Control and PreventionState Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, School of Public Health, Xiamen UniversityChinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, National Institute of Parasitic Diseases, WHO Collaborating Centre for Tropical Diseases, National Center for International Research On Tropical Diseases, Joint Research Laboratory of Genetics and Ecology On Parasite-Host Interaction, Chinese Center for Disease Control and Prevention & Fudan UniversityAbstract Background Severe fever with thrombocytopenia syndrome (SFTS), one kind of tick-borne acute infectious disease, is caused by a novel bunyavirus. The relationship between meteorological factors and infectious diseases is a hot topic of current research. Liaoning Province has reported a high incidence of SFTS in recent years. However, the epidemiological characteristics of SFTS and its relationship with meteorological factors in the province remain largely unexplored. Methods Data on reported SFTS cases were collected from 2011 to 2019. Epidemiological characteristics of SFTS were analyzed. Spearman’s correlation test and generalized linear models (GLM) were used to identify the relationship between meteorological factors and the number of SFTS cases. Results From 2011 to 2019, the incidence showed an overall upward trend in Liaoning Province, with the highest incidence in 2019 (0.35/100,000). The incidence was slightly higher in males (55.9%, 438/783), and there were more SFTS patients in the 60–69 age group (31.29%, 245/783). Dalian City and Dandong City had the largest number of cases of SFTS (87.99%, 689/783). The median duration from the date of illness onset to the date of diagnosis was 8 days [interquartile range (IQR): 4–13 days]. Spearman correlation analysis and GLM showed that the number of SFTS cases was positively correlated with monthly average rainfall (r s = 0.750, P < 0.001; β = 0.285, P < 0.001), monthly average relative humidity (r s = 0.683, P < 0.001; β = 0.096, P < 0.001), monthly average temperature (r s = 0.822, P < 0.001; β = 0.154, P < 0.001), and monthly average ground temperature (r s = 0.810, P < 0.001; β = 0.134, P < 0.001), while negatively correlated with monthly average air pressure (r s = −0.728, P < 0.001; β = −0.145, P < 0.001), and monthly average wind speed (r s = −0.272, P < 0.05; β = −1.048, P < 0.001). By comparing both correlation coefficients and regression coefficients between the number of SFTS cases (dependent variable) and meteorological factors (independent variables), no significant differences were observed when considering immediate cases and cases with lags of 1 to 5 weeks for dependent variables. Based on the forward and backward stepwise GLM regression, the monthly average air pressure, monthly average temperature, monthly average wind speed, and time sequence were selected as relevant influences on the number of SFTS cases. Conclusion The annual incidence of SFTS increased year on year in Liaoning Province. Incidence of SFTS was affected by several meteorological factors, including monthly average air pressure, monthly average temperature, and monthly average wind speed. Graphical Abstracthttps://doi.org/10.1186/s13071-022-05395-4Epidemiological characteristicsSevere fever with thrombocytopenia syndromeMeteorological factors |
spellingShingle | Zijiang Wang Shiting Yang Li Luo Xiaohao Guo Bin Deng Zeyu Zhao Jia Rui Shanshan Yu Bin Zhao Yifang Wang Jingyi Chen Yingwei Sun Tianmu Chen Xinyu Feng Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China Parasites & Vectors Epidemiological characteristics Severe fever with thrombocytopenia syndrome Meteorological factors |
title | Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China |
title_full | Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China |
title_fullStr | Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China |
title_full_unstemmed | Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China |
title_short | Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China |
title_sort | epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in liaoning province china |
topic | Epidemiological characteristics Severe fever with thrombocytopenia syndrome Meteorological factors |
url | https://doi.org/10.1186/s13071-022-05395-4 |
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