학술논문
Mapping the risk distribution of Borrelia burgdorferi sensu lato in China from 1986 to 2020: a geospatial modelling analysis.
Document Type
Academic Journal
Author
Che TL; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Jiang BG; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Xu Q; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Zhang YQ; School of Mathematical Sciences, University of the Chinese Academy of Sciences, Beijing, People's Republic of China.; Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, People's Republic of China.; Lv CL; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Chen JJ; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Tian YJ; Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, People's Republic of China.; School of Economics and Management, University of the Chinese Academy of Sciences, Beijing, People's Republic of China.; Yang Y; Department of Biostatistics, College of Public Health and Health Professions, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.; Hay SI; Department of Health Metrics Sciences, School of Medicine, University of Washington, Seattle, WA, USA.; Institute for Health Metrics and Evaluation, University of Washington, Seattle, WA, USA.; Liu W; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.; Fang LQ; State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China.
Source
Publisher: Taylor & Francis Country of Publication: United States NLM ID: 101594885 Publication Model: Print Cited Medium: Internet ISSN: 2222-1751 (Electronic) Linking ISSN: 22221751 NLM ISO Abbreviation: Emerg Microbes Infect Subsets: MEDLINE
Subject
Language
English
Abstract
Lyme borreliosis, recognized as one of the most important tick-borne diseases worldwide, has been increasing in incidence and spatial extent. Currently, there are few geographic studies about the distribution of Lyme borreliosis risk across China. Here we established a nationwide database that involved Borrelia burgdorferi sensu lato ( B. burgdorferi ) detected in humans, vectors, and animals in China. The eco-environmental factors that shaped the spatial pattern of B. burgdorferi were identified by using a two-stage boosted regression tree model and the model-predicted risks were mapped. During 1986-2020, a total of 2,584 human confirmed cases were reported in 25 provinces. Borrelia burgdorferi was detected from 35 tick species with the highest positive rates in Ixodes granulatus , Hyalomma asiaticum , Ixodes persulcatus , and Haemaphysalis concinna ranging 20.1%-24.0%. Thirteen factors including woodland, NDVI, rainfed cropland, and livestock density were determined as important drivers for the probability of B. burgdorfer i occurrence based on the stage 1 model. The stage 2 model identified ten factors including temperature seasonality, NDVI, and grasslands that were the main determinants used to distinguish areas at high or low-medium risk of B. burgdorferi , interpreted as potential occurrence areas within the area projected by the stage 1 model. The projected high-risk areas were not only concentrated in high latitude areas, but also were distributed in middle and low latitude areas. These high-resolution evidence-based risk maps of B. burgdorferi was first created in China and can help as a guide to future surveillance and control and help inform disease burden and infection risk estimates.