Evidence map›Paper›PMID 32414340›Full record

ArticleBMC infectious diseases2020

Epidemiological analysis of the Kaohsiung city strategy for dengue fever quarantine and epidemic prevention.

Chao-Ying Pan, Wei-Liang Liu, Matthew-P Su, Te-Pin Chang, Hui-Pin Ho, Pei-Yun Shu, Joh-Jong Huang, Li-Jen Lin, Chun-Hong Chen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Chao-Ying PanDepartment of Health, Kaohsiung City Government, Kaohsiung City, Taiwan.
Wei-Liang LiuNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan, Taiwan.
Matthew-P SuDepartment of Biological Science, Nagoya University, Nagoya, 464-8602, Japan.
Te-Pin ChangNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan, Taiwan.
Hui-Pin HoDepartment of Health, Kaohsiung City Government, Kaohsiung City, Taiwan.
Pei-Yun ShuCenter for Diagnostics and Vaccine Development, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan, Republic of China.
Joh-Jong HuangBureau of Social Affairs, Tainan City Government, Tainan City, Taiwan.
Li-Jen LinDepartment of Health, Kaohsiung City Government, Kaohsiung City, Taiwan. eight@kcg.gov.tw.
Chun-Hong ChenNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Zhunan, Taiwan. chunhong@gmail.com.
Ministry of Health and Welfare · TWNational Health Research Institutes · TWNagoya University · JPTaichung City Government · TWTaipei City Government · TW

Funding

National Health Research Institutes, Taiwan 07A1-MRAP06-035 and 08A1-MRAP04-035National Health Research Institutes, Taiwan 07A1-MRPP09-035 and 08A1-MRGP12-035
6 · The paper itself

Abstract

backgroundDengue is endemic in over 100 countries and is an important public health problem worldwide. Dengue fever is not endemic in Taiwan; the importation of dengue viruses from neighboring countries via close commercial links and air travel is considered to be the cause of local outbreaks. Therefore, efforts toward disease control have focused on preventing the importation of dengue into Taiwan. In this study, we investigated the relationships between the numbers of imported and indigenous dengue cases to test the validity of this strategy.

methodsData on cases of dengue fever that occurred between 2013 and 2018 were obtained from the surveillance systems of the Taiwan Center for Disease Control and Kaohsiung City Health Department. Standard epidemiological data, including the monthly numbers of indigenous and imported cases of dengue, were calculated. Potential associations between the numbers of indigenous and imported cases were investigated using correlation analyses.

resultsWe identified a possible relationship between the period of disease concealment and the number of imported dengue cases, which resulted in epidemics of indigenous dengue fever within local communities. Further analysis of confirmed cases during previous epidemics in Kaohsiung City found that the risk of indigenous dengue fever may be related to the likelihood that patients with imported dengue fever will stay within local communities.

conclusionGiven the correlations found between imported and indigenous cases of dengue fever, as well as the relationship between the disease concealment period and the risk of indigenous dengue fever, prevention of disease importation and efficient identification of dengue cases within high-risk communities remain the major priorities for disease control.

Indexed as

Air TravelDengueDisease OutbreaksFemaleHumansMalePublic HealthQuarantineTaiwanAirport fever screeningConcealmentDengue virusImported dengue casesIndigenous dengue feverNoncontact infrared thermometers

Identifiers

PMID32414340
PMCPMC7226716
OpenAlexW3027783071

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.