Evidence map›Paper›PMID 33283238›Full record

ArticleJournal of travel medicine2020

Epidemiology of imported infectious diseases, China, 2014-18.

Yang Wu, Meng-Yang Liu, Jin-Long Wang, Hai-Yang Zhang, Yu Sun, Yang Yuan, Shi-Xia Zhou, Yi-Xing Wang, Zhi-Bo Wang, Ying-Xuan Zhu and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of travel medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  20. Knockdown resistance mutations distribution and characteristics ofFrontiers in cellular and infection microbiology · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Yang WuDepartment of Cardiovascular, Chinese PLA General Hospital, Beijing, P.R. China.
Meng-Yang LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Jin-Long WangDivision of Science and Technology, Chinese Center for Disease Control and Prevention, Beijing, P.R. China.
Hai-Yang ZhangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Yu SunTsinghua University Press, Beijing, P.R. China.
Yang YuanState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Shi-Xia ZhouState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Yi-Xing WangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Zhi-Bo WangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Ying-Xuan ZhuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Yong HanDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Meng-Meng LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Wei-Ming LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Li-Ping WangDivision of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing, P.R. China.
Xiu-Hua GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, P.R. China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.
Wei LiuState Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 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.

methodsSick 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).

resultsIn total, 58 677 cases were identified amongst 1 409 265 253 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%, 31 393 of 38 667), 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%, 19 638 of 20 010), 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's 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%, 19 247 of 22 387) 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.

conclusionsThe 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.

Indexed as

Communicable Diseases, ImportedPrimary PreventionTravelTravel-Related IllnessVector Borne DiseasesVirus DiseasesAdultChinaFemaleHumansIncidenceMaleNeeds AssessmentCOVID-19dengueHIVinfluenzamalariaTravelyellow fever

Identifiers

PMID33283238
PMCPMC7757385

What OpenQuestion holds

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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.