ArticleParasites & vectors2023
Using ecological niche modeling to predict the potential distribution of scrub typhus in Fujian Province, China.
Article in Parasites & vectors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 34 citations in OpenAlex.
- 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
- Scrub typhus in the era of climate change: exploring lagged and cumulative effects of meteorological factors in the Republic of Korea, 2001-2024, a nationwide time-series study.Osong public health and research perspectives · 2025Article
- Epidemiologic features and potential year of life lost of scrub typhus in China: A nationwide surveillance analysis (2006- 2023).PLoS neglected tropical diseases · 2025Article
- Variation in Small Mammal Species Composition and the Occurrence of Parasitic Mites in Two Landscapes in a Scrub Typhus Endemic Region of Western Yunnan Province, China.Ecology and evolution · 2025Article
- Scrub typhus in Nan province (Thailand): Seventeen years of data to understand the impact of land cover change.PLoS neglected tropical diseases · 2025Article
- Analysis of the Spatiotemporal Distribution and Evolutionary Trends of Scrub Typhus in Jiangsu Province from 2006 to 2023.Journal of epidemiology and 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
- 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
- Predicting the potential distribution areas ofFrontiers in public health · 2025Article
- Habitat Type-Based Assemblage and Distribution Prediction of Small Mammals and Chigger Mites (Acari: Trombiculidae) in Chuncheon City, Republic of Korea.Animals : an open access journal from MDPI · 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
- Exploring the effects and interactions of meteorological factors on the incidence of scrub typhus in Ganzhou City, 2008-2021.BMC 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 distribution and environmental influences of severe fever with thrombocytopenia syndrome in Shandong Province, China.BMC infectious diseases · 2023Article
- Spatiotemporal epidemiology and risk factors of scrub typhus in Hainan Province, China, 2011-2020.One health (Amsterdam, Netherlands) · 2023Article
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite the increasing number of cases of scrub typhus and its expanding geographical distribution in China, its potential distribution in Fujian Province, which is endemic for the disease, has yet to be investigated.
methodsA negative binomial regression model for panel data mainly comprising meteorological, socioeconomic and land cover variables was used to determine the risk factors for the occurrence of scrub typhus. Maximum entropy modeling was used to identify the key predictive variables of scrub typhus and their ranges, map the suitability of different environments for the disease, and estimate the proportion of the population at different levels of infection risk.
resultsThe final multivariate negative binomial regression model for panel data showed that the annual mean normalized difference vegetation index had the strongest correlation with the number of scrub typhus cases. With each 0.1% rise in shrubland and 1% rise in barren land there was a 75.0% and 37.0% increase in monthly scrub typhus cases, respectively. In contrast, each unit rise in mean wind speed in the previous 2 months and each 1% increase in water bodies corresponded to a decrease of 40.0% and 4.0% in monthly scrub typhus cases, respectively. The predictions of the maximum entropy model were robust, and the average area under the curve value was as high as 0.864. The best predictive variables for scrub typhus occurrence were population density, annual mean normalized difference vegetation index, and land cover types. The projected potentially most suitable areas for scrub typhus were widely distributed across the eastern coastal area of Fujian Province, with highly suitable and moderately suitable areas accounting for 16.14% and 9.42%, respectively. Of the total human population of the province, 81.63% reside in highly suitable areas for scrub typhus.
conclusionsThese findings could help deepen our understanding of the risk factors of scrub typhus, and provide information for public health authorities in Fujian Province to develop more effective surveillance and control strategies in identified high risk areas in Fujian Province.
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