Evidence map›Paper›PMID 28676111›Full record

ArticleMalaria journal2017

A study on the epidemiological characteristics and infectious forecast model of malaria at Guangzhou Airport among Chinese returnees from Africa.

Hui-Ming Wu, Zhi-Qiang Fang, Dang Zhao, Yan-Ling Chen, Chuan-Ge Liu, Xi Liang

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Malaria Risk and Prevention in Asian Migrants to Angola.The American journal of tropical medicine and hygiene · 2020
    Article
  3. Epidemiology ofThe American journal of tropical medicine and hygiene · 2020
    Article
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

6 authors at 3 institutions in 1 country.

Hui-Ming WuGuangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470, China. gzwhm@126.com.
Zhi-Qiang FangChinese Academy of Inspection and Quarantine, Beijing, 100176, China.
Dang ZhaoGuangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470, China.
Yan-Ling ChenGuangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470, China.
Chuan-Ge LiuGuangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470, China.
Xi LiangGuangzhou Airport Entry-Exit Inspection and Quarantine Bureau, Guangzhou, 510470, China.
Guangdong Inspection and Quarantine Technology Center (China) · CNEntry Exit Inspection and Quarantine Bureau · CNChinese Academy of Inspection and Quarantine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCross-border malaria transmission in China is a major component of Chinese imported malaria cases. Such cases mostly are travellers returning from malaria endemic countries in Africa. By investigating malaria infectious status among Chinese worker in Africa, this study analysed the malaria risk factors, in order to establish infectious forecast model.

methodsChinese returnees data from Africa were collected at Guangzhou Baiyun International Airport, Guangzhou, China between August 2015 and March 2016 and were included in the cross-sectional and retrospective survey.

resultsA total of 1492 respondents were included in the study with the majority consisting of junior middle school educated male. Most of them are manual and technical workers hired by companies, with average of 37.04 years of age. Overall malaria incidence rate of the population was 8.98% (134/1492), and there were no significant differences regarding age, gender, occupation, or team. Forecast model was developed on the basis of malaria risk factors including working country, local ecological environment type, work duration and intensity of mosquito bite prevention.

conclusionsThe survey suggested that malaria incidence was high among Chinese travellers who had worked in Africa countries of heavy malaria burden. Further research on the frequency and severity of clinical episodes among Chinese travellers having worked in Africa is needed.

Indexed as

AirportsTravelAdolescentAdultAfrica South of the SaharaChinaCross-Sectional StudiesFemaleHumansIncidenceMalariaMaleMiddle AgedRetrospective StudiesRisk FactorsYoung AdultAfricaChinese travellersEpidemiological characteristicsForecast modelMalaria

Identifiers

PMID28676111
PMCPMC5496372
OpenAlexW2734039354

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.