Spatio-temporal patterns of scrub typhus in mainland China, 2006-2017

Yue, Yujuan; Ren, Dongsheng; Liu, Xiaobo; Wang, Yujiao; Liu, Qiyong; Li, Guichang

doi:10.1371/journal.pntd.0007916

Cited by 42 publications

(37 citation statements)

References 33 publications

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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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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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“…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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“…Further, 14.7% of those were located in Chongqing Municipality and Jiangxi Province, both belonging to the central regions. Yearly rainfall in these regions ranges from 800 mm to 1600 mm or even greater than 1600 mm and belong to the torrid and sub-torrid zones [ 25 ]. Indigenous dengue fever also occurred in the regions belonging to the warm temperate zone with yearly rainfall of 400–800 mm, such as Henan and Shandong Provinces.…”

Section: Discussionmentioning

confidence: 99%

Spatial Dynamics of Dengue Fever in Mainland China, 2019

Yue

Ren

et al. 2021

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New spatial characteristics of dengue fever in mainland China during 2019 were analyzed. There was a dengue fever outbreak in mainland China in 2019, with 15,187 indigenous cases in 13 provinces, 1281 domestic imported cases from 12 provinces and 5778 overseas imported cases from 47 countries, more than the previous cases during the period 2005–2018, except for in 2014. Indigenous cases occurred in Sichuan, Hubei and Chongqing in 2019. There have been big changes in the spatial distribution and proportion of dengue cases. Indigenous cases were not only located in the southwestern border and southeastern coastal provinces of Yunnan, Guangdong, Guangxi and Fujian but also in the central provinces of Jiangxi and Chongqing. Domestic imported cases were not only from Guangdong, but also from Yunnan. There were five new sources of importation of cases. Overseas imported cases were mainly from Cambodia and Myanmar in 2019. Understanding the new spatial characteristics of dengue fever in China helps to formulate targeted, strategic plans and implement effective public health prevention and control measures.

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Spatio-temporal patterns of scrub typhus in mainland China, 2006-2017

Cited by 42 publications

References 33 publications

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

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

Spatial Dynamics of Dengue Fever in Mainland China, 2019

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