Association between Severe Fever with Thrombocytopenia Syndrome Incidence and Ambient Temperature

Sun, Jimin; Lu, Liang; Yang, Jun; Liu, Keke; Wu, Haixia

doi:10.4269/ajtmh.17-0991

Cited by 12 publications

(10 citation statements)

References 27 publications

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“…Consistent with previous studies [19,[22][23]38], temperature and relative humidity also played important roles in the dynamics of SFTS. The optimal ranges of relative humidity and temperature in our study were similar to the results of other papers [19,38]. The metabolic rate, growth rate and fecundity of ticks accelerate in warm and humid weather.…”

Section: Plos Neglected Tropical Diseasessupporting

confidence: 91%

“…In addition, humans as well as animals are more likely to spend time on outdoor activities at temperatures greater than 20˚C, which enhances the probability of exposure to ticks. These possibilities function together in explaining the association between the SFTS epidemic and relative humidity and temperature [20,38]. As noted in a previous study, wind speed also affects the growth and reproduction of ticks [21].…”

Section: Plos Neglected Tropical Diseasesmentioning

confidence: 77%

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Spatial-temporal characteristics of severe fever with thrombocytopenia syndrome and the relationship with meteorological factors from 2011 to 2018 in Zhejiang Province, China

et al. 2020

PLoS Negl Trop Dis

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Background Zhejiang Province has the fifth-highest incidence of severe fever with thrombocytopenia syndrome (SFTS) in China. While the top four provinces are all located in northern and central China, only Zhejiang Province is located in the Yangtze River Delta region of southeast China. This study was undertaken to identify the epidemiological characteristics of SFTS in Zhejiang from 2011 to 2018. Methods The epidemic data from SFTS cases in Zhejiang Province from January 2011 to December 2018 were obtained from the China Information Network System of Disease Prevention and Control. Meteorological data were collected from the China Meteorological Data Sharing Service System. A multivariate time series model was used to analyze the heterogeneity of spatial-temporal transmission of the disease. Random forest analysis was performed to detect the importance of meteorological factors and the dose-response association of the incidence of SFTS with these factors. Results In total, 412 SFTS cases (49 fatal) were reported from January 2011 to December 2018 in Zhejiang Province, China. The number of SFTS cases and the number of affected counties increased year by year. The case fatality rate in Zhejiang Province was 11.89%, which was the highest in China. Elderly patients and farmers were the most affected. The total effect values of the autoregressive component, spatiotemporal component and endemic component of the model in all ranges were 0.4580, 0.0377 and 0.0137, respectively. There was obvious heterogeneity across counties for the mean values of the spatiotemporal component and the autoregressive component. The autoregressive component was obviously the PLOS NEGLECTED TROPICAL DISEASES

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Section: Plos Neglected Tropical Diseasessupporting

confidence: 91%

Section: Plos Neglected Tropical Diseasesmentioning

confidence: 77%

Spatial-temporal characteristics of severe fever with thrombocytopenia syndrome and the relationship with meteorological factors from 2011 to 2018 in Zhejiang Province, China

et al. 2020

PLoS Negl Trop Dis

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“…Meteorological factors may exert some impact on ecology of SFTSV directly or indirectly by affecting tick in itself, tick-human interactions, and virus replication. [63].…”

Section: Tick-borne Diseasesmentioning

confidence: 99%

Ambient Temperature and Major Infectious Diseases in China

Sun

Liu

Fan

et al. 2019

Ambient Temperature and Health in China

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Infectious diseases are a group of diseases which have complex transmission ways and various influencing factors. Clarifying the correlation between ambient temperature and major infectious diseases in China is a crucial step toward the successful control of infectious diseases including vector-borne diseases, water-borne diseases, food-borne diseases, respiratory infectious diseases, etc. and the implementations of climate change adaption strategy and measures in China. However, no study has systematically reviewed the available evidences on the impact of ambient temperature on the incidence of major infectious diseases, and such information is essential for policymakers and stakeholders to take specific actions to control infectious diseases and pro-the current evidence for the effect of ambient temperature on major infectious diseases in China. The findings could provide explicit information for the scientific prevention and control of infectious diseases in China.

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“…DLNMs have been widely used to analyze air pollution on years of life lost, mortality, hospital admissions and so on [19][20][21]. Furthermore, in recent years, DLNMs have been applied to study association between meteorological factors and communicable diseases, for example, dengue, hand, foot and mouth disease, severe fever with thrombocytopenia syndrome (SFTS) [22][23][24]. In detail, Sun et al found a reversed U-shaped nonlinear relationship between ambient temperature and SFTS [24].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, in recent years, DLNMs have been applied to study association between meteorological factors and communicable diseases, for example, dengue, hand, foot and mouth disease, severe fever with thrombocytopenia syndrome (SFTS) [22][23][24]. In detail, Sun et al found a reversed U-shaped nonlinear relationship between ambient temperature and SFTS [24]. However, no study has been conducted to study the association between meteorological factors and TGR incidence.…”

Section: Introductionmentioning

confidence: 99%

Climate factors driven typhus group rickettsiosis incidence dynamics in Xishuangbanna Dai autonomous prefecture of Yunnan province in China, 2005–2017

et al. 2020

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Background: Typhus group rickettsiosis (TGR), which is a neglected vector-borne infectious disease, including epidemic typhus and endemic typhus. We explored the lag effects and nonlinear association between meteorological factors and TGR incidence in Xishuangbanna Dai autonomous prefecture from 2005 to 2017, China. Methods: A Poisson regression with a distributed lag nonlinear model (DLNM) was utilized to analyze TGR cases data and the contemporaneous meteorological data. Results: A J-shaped nonlinear association between weekly mean temperature and TGR incidence was found. The cumulative exposure to weekly mean temperature indicated that the RR increased with the increment of temperature. Taking the median value as the reference, lower temperatures could decrease the risk of TGR incidence, while higher temperatures could increase the risk of TGR incidence and last for 21 weeks. We also found a reversed U-shaped nonlinear association between weekly mean precipitation and TGR incidence. Precipitation between 5 mm and 13 mm could increase the risk of TGR incidence. Taking the median value as the reference, no precipitation and lower precipitation could decrease the risk of TGR incidence, while higher precipitation could increase the risk of TGR incidence and last for 18 weeks. Conclusions: The prevention and control measures of TGR should be implemented according to climatic conditions by the local government and health departments in order to improve the efficiency.

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Association between Severe Fever with Thrombocytopenia Syndrome Incidence and Ambient Temperature

Cited by 12 publications

References 27 publications

Spatial-temporal characteristics of severe fever with thrombocytopenia syndrome and the relationship with meteorological factors from 2011 to 2018 in Zhejiang Province, China

Spatial-temporal characteristics of severe fever with thrombocytopenia syndrome and the relationship with meteorological factors from 2011 to 2018 in Zhejiang Province, China

Ambient Temperature and Major Infectious Diseases in China

Climate factors driven typhus group rickettsiosis incidence dynamics in Xishuangbanna Dai autonomous prefecture of Yunnan province in China, 2005–2017

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