ArticleEmerging microbes & infections2019
The scrub typhus in mainland China: spatiotemporal expansion and risk prediction underpinned by complex factors.
Article in Emerging microbes & infections, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Geospatial epidemiological approaches to the prevention and control of vector-borne diseases: A systematic review.Infectious diseases & immunity · 2026Review
- Influence of meteorological factors on scrub typhus in Southeast China: a study across 100 districts in Jiangxi Province.Tropical medicine and health · 2025Article
- Associations between meteorological factors and scrub typhus incidence: a systematic review and meta-analysis of linear and nonlinear dose-response relationships.Tropical medicine and health · 2025Article
- Current and Future Projection of Scrub Typhus Risk Related to Land Use Change in China.GeoHealth · 2025Article
- Molecular Epidemiology and Genetic Diversity of Orientia tsutsugamushi From Patients and Small Mammals in Xiangyun County, Yunnan Province, China.Veterinary medicine and science · 2025Article
- Spatiotemporal evolution and impacts of environment on scrub typhus in northern China, 2006-2019.Journal of global health · 2025Article
- Epidemiological characteristics and influencing factors of scrub typhus in Jiangxi Province.Parasites & vectors · 2025Article
- Associations of greenhouse gases, air pollutants and dynamics of scrub typhus incidence in China: a nationwide time-series study.BMC public health · 2025Article
- The Association Between Environmental Factors and Scrub Typhus: A Review.Tropical medicine and infectious disease · 2025Review
- Mathematical analysis of scrub typhus seasonal infection with re-scaled transmission rate considering Northeast India reported data from 2010 to 2022.Scientific reports · 2025Article
- Exploring the influencing factors of scrub typhus in Gannan region, China, based on spatial regression modelling and geographical detector.Infectious Disease Modelling · 2025Article
- Meteorological factors and normalized difference vegetation index drivers of scrub typhus incidence in Shandong Province based on a 16-year time-frequency analysis.BMC public health · 2025Article
- Cavitary pulmonary tuberculosis withFrontiers in medicine · 2025Article
- Retrospective analysis of spatiotemporal variation of scrub typhus in Yunnan Province, 2006-2022.PLoS neglected tropical diseases · 2024Article
- Article
- Epidemiological characteristics of ventilator-associated pneumonia in neurosurgery: A 10-year surveillance study in a Chinese tertiary hospital.Infectious medicine · 2024Article
- Spatiotemporal heterogeneity and long-term impact of meteorological, environmental, and socio-economic factors on scrub typhus in China from 2006 to 2018.BMC public health · 2024Article
- The impact of meteorological parameters on the scrub typhus incidence in Baoshan City, western Yunnan, China.Frontiers in public health · 2024Article
- Estimation of scrub typhus incidence and spatiotemporal multicomponent characteristics from 2016 to 2023 in Zhejiang Province, China.Frontiers in public health · 2024Article
- Spatiotemporal epidemiology and risk factors of scrub typhus in Hainan Province, China, 2011-2020.One health (Amsterdam, Netherlands) · 2023Article
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12 authors.
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Abstract
In mainland China, a geographic northward expansion of scrub typhus has been seen, highlighting the need to understand the factors and identify the risk for disease prevention. Incidence data from 1980 to 2013 were used. A Cox proportional hazard model was used to identify drivers for spatial spread, and a boosted regression tree (BRT) model was constructed to predict potential risk areas. Since the 1980s, an invasive expansion from South Natural Foci towards North Natural Foci was clearly identified, with the epidemiological heterogeneity observed between two regions, mainly in spatial distribution, seasonality, and demographic characteristics. Survival analysis disclosed significant factors contributing to the spatial expansion as following: being intersected by freeway (HR = 1.31, 95% CI: 1.11-1.54), coverage percentage of broadleaf forest (HR = 1.10, 95% CI: 1.06-1.15), and monthly average temperature (HR = 1.27, 95% CI: 1.25-1.30). The BRT models showed that precipitation, sunshine hour, temperature, crop field, and relative humidity contributed substantially to the spatial distribution of scrub typhus. A county-scale risk map was created to predict the regions with high probability of the disease. The current study enabled a comprehensive overview of epidemiological characteristics of scrub typhus in mainland China.
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