Epidemiological characteristics and spatiotemporal patterns of typhus group rickettsiosis at the county level in China, 2005–2017

Gao, Yuan; Yan, Dongming; Liu, Keke; Sun, Jimin; Niu, Yanlin; Wu, Haixia; Zhao, Chenhao; Yue, Yujuan; Wang, Jun; Zhao, Na; Lu, Liang; Liu, Qiyong

doi:10.1016/j.ijid.2019.11.018

Cited by 9 publications

(6 citation statements)

References 18 publications

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“…There was the remarkable variation in the spatiotemporal distribution of scrub typhus cases in Fujian province, with most high-risk counties mainly concentrated in the Nanping and Zhangzhou prefecture and the geographical range of scrub typhus transmission increased over the study period, indicating that scrub typhus still remains a crucial public health problem. Both LISA and spatial distribution analysis detected similar changes and areas with high incidence appeared to shift from the south to the north mirroring the nationwide trends [ 10 , 23 , 43 ]. High-high spots which suggested that natural tsutsugamushi foci were forming here revealed the contribution of geography to the number of reported scrub typhus cases presumably in relation to elevated or mountainous region [ 44 ].…”

Section: Discussionmentioning

confidence: 90%

Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province during 2012–2020

Wang²,

Wei

et al. 2022

PLoS Negl Trop Dis

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Background Scrub typhus has become a serious public health concern in the Asia-Pacific region including China. There were new natural foci continuously recognized and dramatically increased reported cases in mainland China. However, the epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province have yet to be investigated. Objective This study proposes to explore demographic characteristics and spatiotemporal dynamics of scrub typhus cases in Fujian province, and to detect high-risk regions between January 2012 and December 2020 at county/district scale and thereby help in devising public health strategies to improve scrub typhus prevention and control measures. Method Monthly cases of scrub typhus reported at the county level in Fujian province during 2012–2020 were collected from the National Notifiable Disease Surveillance System. Time-series analyses, spatial autocorrelation analyses and space-time scan statistics were applied to identify and visualize the spatiotemporal patterns of scrub typhus cases in Fujian province. The demographic differences of scrub typhus cases from high-risk and low-risk counties in Fujian province were also compared. Results A total of 11,859 scrub typhus cases reported in 87 counties from Fujian province were analyzed and the incidence showed an increasing trend from 2012 (2.31 per 100,000) to 2020 (3.20 per 100,000) with a peak in 2018 (4.59 per 100,000). There existed two seasonal peaks in June-July and September-October every year in Fujian province. A significant positive spatial autocorrelation of scrub typhus incidence in Fujian province was observed with Moran’s I values ranging from 0.258 to 0.471 (P<0.001). Several distinct spatiotemporal clusters mainly concentrated in north and southern parts of Fujian province. Compared to low-risk regions, a greater proportion of cases were female, farmer, and older residents in high-risk counties. Conclusions These results demonstrate a clear spatiotemporal heterogeneity of scrub typhus cases in Fujian province, and provide the evidence in directing future researches on risk factors and effectively assist local health authorities in the refinement of public health interventions against scrub typhus transmission in the high risk regions.

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Section: Discussionmentioning

confidence: 90%

Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province during 2012–2020

Wang²,

Wei

et al. 2022

PLoS Negl Trop Dis

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“…Given that the power of quantitative statistics and mapping visualization, techniques of spatial epidemiological have been widely applied in infectious disease control, prevention, and scientific investigations [ 20 , 21 , 22 , 23 , 24 ]. As a vector-borne infectious disease, the distribution of ST has significant spatial heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Dynamics of Scrub Typhus in Jiangxi Province, China, from 2006 to 2018

Yang

Gao

Chen

et al. 2021

IJERPH

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Background: Scrub typhus (ST) has become a significant potential threat to public health in Jiangxi. Further investigation is essential for the control and management of the spatiotemporal patterns of the disease. Methods: Time-series analyses, spatial distribution analyses, spatial autocorrelation analysis, and space-time scan statistics were performed to detect spatiotemporal dynamics distribution of the incidence of ST. Results: From 2006 to 2018, a total of 5508 ST cases occurred in Jiangxi, covering 79 counties. The number of ST cases increased continuously from 2006 to 2018, and there was obvious seasonality during the variation process in each year, with a primary peak in autumn (September to October) and a smaller peak in summer (June to August). From 2007 to 2018, the spatial distribution of the ST epidemic was significant heterogeneity, and Nanfeng, Huichang, Xunwu, Anyuan, Longnan, and Xinfeng were hotspots. Seven spatiotemporal clusters were observed using Kulldorff’s space-time scan statistic, and the most likely cluster only included one county, Nanfeng county. The high-risk areas of the disease were in the mountainous, hilly region of Wuyi and the southern mountainous region of Jiangxi. Conclusions: Targeted interventions should be executed in high-risk regions for the precise prevention and control of ST.

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“…and has been also widely conformed to characterize spatial epidemiology of diseases [14][15][16][17][18][19] . However, the dynamics spatiotemporal distributions of HFRS in Jiangxi have not yet been explored systematically.…”

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confidence: 99%

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

Yang

Gao

Liu

et al. 2020

Sci Rep

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Historically, Jiangxi province has had the largest HfRS burden in china. However, thus far, the comprehensive understanding of the spatiotemporal distributions of HfRS is limited in Jiangxi. in this study, seasonal decomposition analysis, spatial autocorrelation analysis, and space-time scan statistic analyses were performed to detect the spatiotemporal dynamics distribution of HfRS cases from 2005 to 2018 in Jiangxi at the county scale. The epidemic of HFRS showed the characteristic of bi-peak seasonality, the primary peak in winter (November to January) and the second peak in early summer (May to June), and the amplitude and the magnitude of HFRS outbreaks have been increasing. The results of global and local spatial autocorrelation analysis showed that the HfRS epidemic exhibited the characteristic of highly spatially heterogeneous, and Anyi, fengxin, Yifeng, Shanggao, Jing'an and Gao'an county were hot spots areas. A most likely cluster, and two secondary likely clusters were detected in 14-years duration. The higher risk areas of the HFRS outbreak were mainly located in Jiangxi northern hilly state, spreading to Wuyi mountain hilly state as time advanced. this study provided valuable information for local public health authorities to design and implement effective measures for the control and prevention of HfRS. Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne infectious disease caused by hantaviruses in the Bunyaviridae family 1. Transmission of hantavirus to humans occurs via inhalation of aerosolized viral particles present in the urine, feces, and saliva excreted into the environment by rodents infected with it 2. In China, the major causative agents of HFRS are Hantaan virus (HTNV) and Seoul virus (SEOV), whose natural rodents hosts are respectively striped field mice (A. agrarius) and Norway rats (R. norvegicus) 3,4. So far, China remains the most endemic country, and there were more than 11,000 HFRS cases reported annually from 2016 to 2018 5. Jiangxi province, which is located in the southern bank of the middle and lower reaches of the Yangzi River, is one of the most serious HFRS endemic areas of China. Since the first case of HFRS was reported in Pengze county in 1961, the HFRS epidemic has rapidly spread to 6 counties in the 1960s, 39 counties in the 1970s, 65 counties in the 1980s, and 88 counties in the 1990s. The number of HFRS cases has also risen sharply, and reached a peak in 1985, with an incidence of 21/100,000 persons. The epidemic of HFRS has expanded throughout the central and northern Jiangxi and reached Ningdu county, Ganzhou city, in the south 6. Jiangxi currently remains one of the provinces with the highest HFRS incidence during recent years according to the national HFRS surveillance data 7. The susceptible population of HFRS is heterogeneous in space, socioeconomic status, and the geographical difference between different regions 8. Furthermore, infectious disease outbreaks can occur in very short time periods and infect a large number of individuals 9,10. As a resu...

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Epidemiological characteristics and spatiotemporal patterns of typhus group rickettsiosis at the county level in China, 2005–2017

Cited by 9 publications

References 18 publications

Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province during 2012–2020

Epidemiological characteristics and spatiotemporal patterns of scrub typhus in Fujian province during 2012–2020

Spatiotemporal Dynamics of Scrub Typhus in Jiangxi Province, China, from 2006 to 2018

Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China

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