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Che TL, Jiang BG, Xu Q, Zhang YQ, Lv CL, Chen JJ, Tian YJ, Yang Y, Hay SI, Liu W, Fang LQ. Mapping the risk distribution of Borrelia burgdorferi sensu lato in China from 1986 to 2020: a geospatial modelling analysis. Emerg Microbes Infect 2022; 11:1215-1226. [PMID: 35411829 PMCID: PMC9067995 DOI: 10.1080/22221751.2022.2065930] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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. burgdorferi 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.
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Affiliation(s)
- Tian-Le Che
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Bao-Gui Jiang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Qiang Xu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Yu-Qi Zhang
- 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
| | - Chen-Long Lv
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Jin-Jin Chen
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Ying-Jie Tian
- 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 Yang
- Department of Biostatistics, College of Public Health and Health Professions, and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA
| | - Simon I Hay
- 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
| | - Wei Liu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
| | - Li-Qun Fang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, People's Republic of China
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Bhesania S, Arora KS, Tokarski M, Ariff M, Khan F, Bhesania J, Haq SA. A Case of Tick Bite Induced Babesiosis With Lyme Disease. Cureus 2021; 13:e17401. [PMID: 34589312 PMCID: PMC8459803 DOI: 10.7759/cureus.17401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
The Ixodes tick may transmit multiple pathogens, Lyme disease being the most common. Early detection of tick bites and using prophylaxis measures is the key to prevent tick bite-associated diseases like babesiosis, anaplasmosis, and Lyme disease. It is recommended to follow preventive measures like using diethyltoluamide (DEET) on the skin, applying permethrin on clothes while visiting the tick-infested areas. Co-infection is an uncommon occurrence but still representative in endemic areas. If there is delayed initiation of therapy in these kinds of patients, there may be dire consequences that may require aggressive therapy. Clinicians should consider co-infection when suspecting tick-borne disease which can prove to be fatal if not addressed promptly. Here, we present the case of a 72-year-old female with atypical symptoms, who was found to have coinfection with Lyme disease and Babesiosis on serology testing and peripheral smear and was diagnosed and treated promptly.
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Affiliation(s)
- Siddharth Bhesania
- Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, USA
| | | | - Michal Tokarski
- Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, USA
| | - Madiha Ariff
- Internal Medicine, Dow University of Health Sciences, Karachi, PAK
| | - Fastina Khan
- Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, USA
| | - Janki Bhesania
- Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, USA
| | - Salman A Haq
- Internal Medicine, NewYork-Presbyterian Brooklyn Methodist Hospital, Brooklyn, USA
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Jiang Y, Hou X, Zhang L, Tan Y, Lu C, Xiao D, Li H, Hao Q, Wan K. Case report: A patient coinfected by Borrelia burgdorferi sensu lato and spotted fever group Rickettsiae in Urumqi, China. Medicine (Baltimore) 2019; 98:e17977. [PMID: 31725662 PMCID: PMC6867798 DOI: 10.1097/md.0000000000017977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
RATIONALE Both Borrelia burgdorferi sensu lato and spotted fever group Rickettsiae (SFGR) are pathogens carried by ticks. There is a possibility of co-infection with these tick-borne diseases. PATIENT CONCERNS Male patient, 63 years-of-age, admitted to hospital with skin rash presenting for 1 week and fever with cough and expectoration for 3 days before admission. DIAGNOSES We diagnosed that the patient was co-infected by B burgdorferi sl and SFGR using laboratory test results and the patient's clinical manifestations. INTERVENTIONS The patient started therapy with oral minocycline, then levofloxacin by intravenous injection for SFGR. Meanwhile, he was treated with penicillin G sodium, cefoperazone sulbactam sodium and ceftriaxone by intravenous injection for B burgdorferi sl. OUTCOMES After the patient was in stable condition, he was discharged from hospital. LESSONS This case report highlights the possibility of co-infection by 2 tick-borne diseases in Urumqi, Xinjiang Uygur Autonomous Region, China. The antibiotic therapy should be based on the detection of pathogenic bacteria, and the different susceptibilities of co-infecting bacteria should be considered.
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Affiliation(s)
- Yi Jiang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention / State Key Laboratory for Infectious Disease Prevention and Control, Beijing
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou
| | - Xuexia Hou
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention / State Key Laboratory for Infectious Disease Prevention and Control, Beijing
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou
| | - Lin Zhang
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention / State Key Laboratory for Infectious Disease Prevention and Control, Beijing
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou
| | - Yuhui Tan
- Department of Neurology, Xinjiang Uygur Autonomous Region Hospital, Urumqi, PR China
| | - Chen Lu
- Department of Neurology, Xinjiang Uygur Autonomous Region Hospital, Urumqi, PR China
| | - Dong Xiao
- Department of Neurology, Xinjiang Uygur Autonomous Region Hospital, Urumqi, PR China
| | - Hongyan Li
- Department of Neurology, Xinjiang Uygur Autonomous Region Hospital, Urumqi, PR China
| | - Qin Hao
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention / State Key Laboratory for Infectious Disease Prevention and Control, Beijing
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou
| | - Kanglin Wan
- National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention / State Key Laboratory for Infectious Disease Prevention and Control, Beijing
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou
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