{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T13:25:21Z","timestamp":1790601921860,"version":"4.1.0"},"reference-count":46,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":6,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["91846302"],"award-info":[{"award-number":["91846302"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81825019"],"award-info":[{"award-number":["81825019"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"China Mega-Project on Infectious Disease Prevention","award":["2018ZX10713001"],"award-info":[{"award-number":["2018ZX10713001"]}]},{"name":"China Mega-Project on Infectious Disease Prevention","award":["2018ZX10713002"],"award-info":[{"award-number":["2018ZX10713002"]}]},{"name":"China Mega-Project on Infectious Disease Prevention","award":["2017ZX10303401"],"award-info":[{"award-number":["2017ZX10303401"]}]},{"name":"China Mega-Project on Infectious Disease Prevention","award":["2018ZX10101003-002"],"award-info":[{"award-number":["2018ZX10101003-002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,12,23]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>The frequent movement of population between countries brings an increasing number of travel-related infections. This study aims to define the spectrum and dynamics of imported infections observed from international travel in the Chinese mainland.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Sick travellers were screened by inbound sentinel surveillance and post-travel clinic visits from 2014 to 18. The infections were classified as respiratory, gastrointestinal, vector-borne, blood\/sexually transmitted and mucocutaneous. The analysed variables included the place of origin of the travellers (Chinese or foreign) and the time when travel-related infection was present (at the time of return, during travel and post-travel visits to the clinic).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>In total, 58\u2009677 cases were identified amongst 1\u2009409\u2009265\u2009253 travellers, with an incidence of 41.64\/million, comprising during-travel incidence of 27.44\/million and a post-travel incidence of 14.20\/million. Respiratory infections constituted the highest proportion of illnesses during travel (81.19%, 31\u2009393 of 38\u2009667), which mainly came from Asian countries and tourists; with influenza virus and rhinovirus infections being mainly diagnosed. Vector-borne diseases constituted the highest proportion of post-travel illnesses (98.14%, 19\u2009638 of 20\u2009010), which were mainly diagnosed from African countries and labourers; with malaria and dengue fever being mainly diagnosed. The differential infection spectrum varied in terms of the traveller\u2019s demography, travel destination and travel purpose. As such, a higher proportion of foreign travellers had blood\/sexually transmitted diseases (89.85%, 2832 of 3152), while Chinese citizens had a higher prevalence of vector-borne diseases (85.98%, 19\u2009247 of 22\u2009387) and gastrointestinal diseases (79.36%, 1115 of 1405). The highest incidence rate was observed amongst travellers arriving from Africa, while the lowest was observed amongst travellers arriving from Europe.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>The findings might help in preparing recommendations for travellers and also aid in primary care or other clinics that prepare travellers before trips abroad. The findings will also help to identify locations and the associated types of infections that might require attention.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jtm\/taaa211","type":"journal-article","created":{"date-parts":[[2020,11,16]],"date-time":"2020-11-16T12:06:44Z","timestamp":1605528404000},"source":"Crossref","is-referenced-by-count":24,"title":["Epidemiology of imported infectious diseases, China, 2014\u201318"],"prefix":"10.1093","volume":"27","author":[{"given":"Yang","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Cardiovascular, Chinese PLA General Hospital, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Yang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi-Bo","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying-Xuan","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China"},{"name":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"Han","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China"},{"name":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meng-Meng","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China"},{"name":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wei-Ming","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China"},{"name":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Ping","family":"Wang","sequence":"additional","affiliation":[{"name":"Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiu-Hua","family":"Guo","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China"},{"name":"Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, P.R. China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Li-Qun","family":"Fang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. 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