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

Wu, Han; Wu, Chen; Lu, Qinbao; Ding, Zheyuan; Xue, Ming; Lin, Junfen

doi:10.1371/journal.pntd.0008186

Cited by 29 publications

(36 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A national-wide study in China from 2010 to 2018 showed that precipitation had a positive linear association with SFTS occurrence ( 9 ). A nonlinear relationship with monthly mean temperature and precipitation was observed in both a study conducted in Zhejiang Province from 2011 to 2018 ( 20 ) and a national-wide study from 2010 to 2013 ( 21 ). Using ecological niche modes, Sun et al also found that SFTS occurrence had a nonlinear relationship with annual average temperature and precipitation ( 6 ), which is quite consistent with our results.…”

Section: Discussionmentioning

confidence: 96%

Factors Associated With Severe Fever With Thrombocytopenia Syndrome in Endemic Areas of China

Jiang

Wang

Zhang

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

ObjectiveTo explore the influence of climatic, environmental and socioeconomic factors on SFTS occurrence in Shandong Province, China.MethodsWe used generalized additive model to estimate the association between SFTS cases and climatic factors, environmental factors and socioeconomic factors, including annual average temperature, precipitation, land cover, normalized difference vegetation index, altitude, population density, meat production, milk production, and gross domestic product (GDP).ResultsThere were a total of 4,830 cases reported in 100 (70.9%) counties and districts in Shandong Province from 2010 to 2020. The results showed that the annual average temperature, precipitation, forest and grassland coverage rate, altitude and meat production (square root transform) had a reversed “V” relationship with SFTS occurrence, with the inflection points around 12.5–13.0°C in temperature, around 650 mm in precipitation, around 0.3 in forest and grassland coverage rate, around 300 m in altitude, and around 200–300 tons in meat production (square root transform), respectively. SFTS occurrence had a “V” relationship with milk production (square root transform) and GDP (square root transform), with the inflection points around 100–200 tons in milk production (square root transform), and around 150,000–200,000 yuan in GDP (square root transform), respectively.ConclusionsClimatic, environmental, and socioeconomic factors contributed to the heterogeneous distribution of SFTS in Shandong Province, and the influence of these factors on SFTS occurrence was nonlinear.

show abstract

Section: Discussionmentioning

confidence: 96%

Factors Associated With Severe Fever With Thrombocytopenia Syndrome in Endemic Areas of China

Jiang

Wang

Zhang

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

show abstract

“…The main clinical manifestations of SFTS included high fever, gastrointestinal symptoms, and bleeding tendency. Most SFTS patients went through a self-limiting clinical course, but some cases developed serious symptoms (8,(14)(15)(16)(17). Some of the patients (12-30%) may develop thrombocytopenia and leukopenia, and then die due to multiple organ failure (9,14,(17)(18)(19).…”

Section: Introductionmentioning

confidence: 99%

“…Most SFTS patients went through a self-limiting clinical course, but some cases developed serious symptoms (8,(14)(15)(16)(17). Some of the patients (12-30%) may develop thrombocytopenia and leukopenia, and then die due to multiple organ failure (9,14,(17)(18)(19). WHO had listed SFTS as one of the nine infectious diseases on its priority list, due to the increasing number of SFTS cases and its potential threat to human health.…”

Section: Introductionmentioning

confidence: 99%

Severe Fever With Thrombocytopenia Syndrome in Southeastern China, 2011–2019

Tao

Liu

et al. 2022

Front. Public Health

View full text Add to dashboard Cite

IntroductionSevere fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease, and the number of cases has increased in recent years in Zhejiang Province, China. However, whether the seasonal distribution, geographic distribution, and demographic characteristics of SFTS have changed with the increase of incidence was unclear.Materials and MethodsData on SFTS cases in Zhejiang Province and tick density in Daishan County from 2011 to 2019 were collected. The changing epidemiological characteristics of SFTS including seasonal distribution, geographical distribution, and demographic features were analyzed using descriptive statistical methods, Global Moran's I, local Getis-Ord Gi* statistic, and spatial scan statistic.ResultsA total of 463 SFTS cases including 53 (11.45%) deaths were reported from 2011 to 2019 in Zhejiang Province, and the annual number of cases showed increasing tendency. SFTS cases were reported in almost half of the counties (40/89) of Zhejiang Province. Elderly farmers accounted for most cases and the proportion of farmers has increased. Most cases (81.21%) occurred during April and August. The interval from illness onset to confirmation was significantly shortened (Z = 5.194, p < 0.001). The majority of cases were reported in Zhoushan City from 2011 to 2016, but most cases were reported in Taizhou City since 2017.DiscussionWe observed dynamic changes in the seasonal distribution, geographical distribution, and demographic features of SFTS, and comprehensive intervention measures, such as clearance of breeding sites, killing of tick adults, and health education should be strengthened in farmers of the key areas according to the changed epidemiological characteristics.

show abstract

“…Previous studies have reported that meteorological factors influence the risk of tick-borne infections by affecting tick growth dynamics, tick-human interactions, and virus replication 8 . Meteorological factors, including temperature, relative humidity, precipitation, duration of sunshine, and environmental factors, such as land cover and tick density, have been associated with the occurrence of SFTS 9 . The disease usually presents from March to November, peaking between May and July.…”

Section: Introductionmentioning

confidence: 99%

“…Several previous studies have reported risk factors of SFTS infection analyzed using epidemiological data 9 – 14 . The risk factors of SFTS cases in China have been analyzed using univariate analysis of epidemiological data 11 , 13 .…”

Section: Introductionmentioning

confidence: 99%

Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea

Cho

Lee

2021

Sci Rep

View full text Add to dashboard Cite

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Korea using epidemiological data including demographic, geographic, and meteorological factors. Important features were chosen through univariate feature selection. Two models using machine learning methods were analyzed: the classification model in machine learning (CMML) and regression model in machine learning (RMML). We developed a novel model incorporating the CMML results into RMML, defined as modified-RMML. Feature importance was computed to assess the contribution of estimating the number of SFTS cases using modified-RMML. Aspect to the accuracy of the novel model, the performance of modified-RMML was improved by reducing the MSE for the test data as 12.6–52.2%, compared to the RMML using five machine learning methods. During the period of increasing the SFTS cases from May to October, the modified-RMML could give more accurate estimation. Computing the feature importance, it is clearly observed that climate factors such as average maximum temperature, precipitation as well as mountain visitors, and the estimation of SFTS occurrence obtained from CMML had high Gini importance. The novel model incorporating CMML and RMML models improves the accuracy of the estimation of SFTS cases. Using the model, climate factors, including temperature, relative humidity, and mountain visitors play important roles in transmitting SFTS in Korea. Our findings highlighted that the guidelines for mountain visitors to prevent SFTS transmissions should be addressed. Moreover, it provides important insights for establishing control interventions that predict early identification of SFTS cases.

show abstract

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

Cited by 29 publications

References 37 publications

Factors Associated With Severe Fever With Thrombocytopenia Syndrome in Endemic Areas of China

Factors Associated With Severe Fever With Thrombocytopenia Syndrome in Endemic Areas of China

Severe Fever With Thrombocytopenia Syndrome in Southeastern China, 2011–2019

Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea

Contact Info

Product

Resources

About