Evidence map›Paper›PMID 32606834›Full record

ArticleInfection and drug resistance2020

Modelling the Measles Outbreak at Hong Kong International Airport in 2019: A Data-Driven Analysis on the Effects of Timely Reporting and Public Awareness.

Shi Zhao, Xiujuan Tang, Xue Liang, Marc K C Chong, Jinjun Ran, Salihu S Musa, Guangpu Yang, Peihua Cao, Kai Wang, Benny C Y Zee and 3 more

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 7 institutions in 2 countries.

Shi Zhao *Division of Biostatistics, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0001-8722-6149
Xiujuan Tang *Shenzhen Center for Disease Control and Prevention, Shenzhen, People's Republic of China.
Xue Liang *Department of Hematology, The 989th Hospital of the Joint Logistics Support Force of Chinese PLA, Luoyang 471031, People's Republic of China.
Marc K C ChongDivision of Biostatistics, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0001-5610-1298
Jinjun RanSchool of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-2684-6341
Salihu S MusaDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, People's Republic of China.ORCID 0000-0001-6335-2335
Guangpu YangDepartment of Orthopaedics and Traumatology, Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Peihua CaoClinical Research Centre, Zhujiang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Kai WangDepartment of Medical Engineering and Technology, Xinjiang Medical University, Urumqi 830011, People's Republic of China.
Benny C Y ZeeDivision of Biostatistics, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, People's Republic of China.ORCID 0000-0002-7238-845X
Xin WangShenzhen Center for Disease Control and Prevention, Shenzhen, People's Republic of China.
Daihai HeDepartment of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, People's Republic of China.ORCID 0000-0003-3253-654X
Maggie H WangDivision of Biostatistics, JC School of Public Health and Primary Care, Chinese University of Hong Kong, Hong Kong, People's Republic of China.
Chinese University of Hong Kong · HKHong Kong Polytechnic University · HKShenzhen Center for Disease Control and Prevention · CNPeople's Liberation Army 401 Hospital · CNUniversity of Hong Kong · HKXinjiang Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasles, a highly contagious disease, still poses a huge burden worldwide. Lately, a trend of resurgence threatened the developed countries. A measles outbreak occurred in the Hong Kong International Airport (HKIA) between March and April 2019, which infected 29 airport staff. During the outbreak, multiple measures were taken including daily situation updates, setting up a public enquiry platform on March 23, and an emergent vaccination program targeting unprotected staff. The outbreak was put out promptly. The effectiveness of these measures was unclear.

methodsWe quantified the transmissibility of outbreak in HKIA by the effective reproduction number,

resultsOur estimated average

conclusionTimely reporting on outbreak situation and public awareness measured by the number of public enquiries helped to control the outbreak.

Indexed as

airportmeaslesoutbreakpublic awarenessreproduction numberstatistical modelling

Identifiers

PMID32606834
PMCPMC7308762
OpenAlexW3035414448

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.