Evidence map›Paper›PMID 30033200›Full record

ArticleThe Lancet. Public health2018

Travel-related infections in mainland China, 2014-16: an active surveillance study.

Li-Qun Fang, Yu Sun, Guo-Ping Zhao, Li-Juan Liu, Zhe-Jun Jiang, Zheng-Wei Fan, Jing-Xue Wang, Yang Ji, Mai-Juan Ma, Juan Teng and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Lancet. Public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
4.4field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 3 syntheses or guidelines pooled it, 39 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China.
Yu SunInstitute of EcoHealth, Shandong University, Jinan, China; University of Chinese Academy of Sciences, Beijing, China.
Guo-Ping ZhaoState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; The Logistics University of the Chinese People's Armed Police Force, Tianjin, China.
Li-Juan LiuInstitute of Health Quarantine, The Chinese Academy of Inspection and Quarantine, Beijing, China.
Zhe-Jun JiangInstitute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China.
Zheng-Wei FanState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Jing-Xue WangInstitute of Health Services and Transfusion Medicine, Academy of Military Medical Science, Beijing, China.
Yang JiState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China.
Mai-Juan MaState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China.
Juan TengState Key Surveillance Laboratory of Vector-borne Infectious Diseases, Hainan Customs District, Haikou, China.
Yan ZhuInternational Travel Healthcare Center, Xining Customs District, Xining, China.
Ping YuXi'an Xian Yang Airport Customs House, Xian Yang, China.
Kai LiInternational Travel Healthcare Center, Ningxia Customs District, Yinchuan, China.
Ying-Jie TianUniversity of Chinese Academy of Sciences, Beijing, China.
Wu-Chun CaoState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China; Institute of EcoHealth, Shandong University, Jinan, China. Electronic address: caowc@bmi.ac.cn.
Institute of Microbiology · CNAcademy of Military Medical Sciences · CNShenzhen International Travel Health Care Center · CNUniversity of Chinese Academy of Sciences · CNChinese Academy of Inspection and Quarantine · CNChinese People's Armed Police ForceShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransmission of infection through international travel is a growing health issue, and the frequency of imported infection is increasing in China. We aimed to quantify the total number of infections imported into mainland China by arriving travellers.

methodsWe actively surveyed arriving travellers at all 272 international entry-exit ports in mainland China. Suspected cases were detected through fever screening, medical inspection, self-declaration, and reporting by on-board staff. Participants completed a standardised questionnaire with questions about demographics, their travel itinerary (including detailed information about all countries or regions visited), and clinical manifestations. Nasopharyngeal swabs, sputum samples, faecal samples, vomitus, blood, and serum were collected as appropriate for diagnoses. Diagnosis was made by specific laboratory tests according to the national technical guidelines. Infections were classified as respiratory, gastrointestinal, vector-borne, blood-transmitted and sex-transmitted, or mucocutaneous. We divided arriving travellers into two groups: travellers coming from countries other than China, and travellers coming from Hong Kong, Macau, and Taiwan. We integrated surveillance data for 2014-16, calculated incidences of travel-related infections, and compared the frequency of infections among subgroups.

findingsBetween Jan 1, 2014, and Dec 31, 2016, 22 797 cases were identified among 805 993 392 arriving travellers-an overall incidence of 28·3 per million. 45 pathogens were detected in participants: 18 respiratory (19 662 cases), ten gastrointestinal (189 cases), seven vector-borne (831 cases), seven blood-transmitted and sex-transmitted (1531 cases), and three mucocutaneous (584 cases). Both the overall number and incidence of infection were more than five times higher in 2016 than in 2014. Case numbers and incidences also varied substantially by province, autonomous region, and municipality. Overall, 17 643 (77%) infections were detected by fever screening, but 753 (49%) blood-transmitted and sex-transmitted infections were identified through medical inspection. 14 305 (73%) cases of respiratory infection and 96 (51%) of gastrointestinal infections were in tourists. Tuberculosis, hepatitis A virus, vector-borne, and blood-transmitted and sex-transmitted infections were common among Chinese labourers who worked abroad. Dengue and malaria were most commonly diagnosed in travellers arriving from Africa. 12 126 (93%) of the 12 985 cases arriving from Hong Kong, Macau, or Taiwan were respiratory infections. Hand, foot, and mouth disease accounted for 2·90% of infections in travellers from Hong Kong, Macau, or Taiwan and 0·31% of infections in international travellers.

interpretationThis report is the first to characterise the profile of travel-related infections among arriving travellers in mainland China. Our findings should increase public awareness of the potential risk of imported infections, and help health-care providers to make evidence-based health recommendations to travellers.

fundingThe Natural Science Foundation of China.

Indexed as

Population SurveillanceTravel-Related IllnessAdolescentAdultChildChinaFemaleHumansIncidenceMaleMiddle AgedYoung Adult

Identifiers

PMID30033200
PMCPMC7164813
OpenAlexW2885012249

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.