Evidence map›Paper›PMID 33893185›Full record

ArticleJournal of epidemiology and community health2021

Epidemiological observations on breaking COVID-19 transmission: from the experience of Taiwan.

Iona MacDonald, Jye-Lin Hsu

Abstract read
In one paragraph

Article in Journal of epidemiology and community health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Genomic characterization of invasiveMicrobial genomics · 2026
    Article
  2. Article
  3. Article
  4. Impact of COVID-19 Preventative Measures on Otolaryngology in Taiwan: A Nationwide Study.International journal of environmental research and public health · 2023
    Article
  5. Article
  6. 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

2 authors.

Iona MacDonaldDepartment of Pharmacology, China Medical University, Taichung, Taiwan.ORCID 0000-0002-4307-7337
Jye-Lin HsuGraduate Institute of Biomedical Sciences, China Medical University, Taichung, Taiwan jlh@mail.cmu.edu.tw.ORCID 0000-0001-6687-4083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With almost no community-transmitted cases and without any complete lockdown throughout 2020, Taiwan is one of very few countries worldwide that has recorded minimal impact from the COVID-19 pandemic attack. This is despite being only 130 km from China and having frequent business communications with that country, where COVID-19 first emerged. At the end of December 2020, Taiwan had recorded just 873 cases and 7 deaths, in a country of around 24 million people. How to determine the effectiveness of public health policies is an important issue that must be resolved, especially in those countries that have experienced few cases of community-transmitted COVID-19. Our analysis of epidemiological data in Taiwan relating to influenza-like illness (ILI), enterovirus and diarrhoea from the past 3 years reveals dramatic reductions in the incidence of ILI and enterovirus in 2020, compared with 2018 and 2019. These reductions occurred within 2 weeks of the government issuing public health policies for COVID-19 and indicate that such policies can effectively reduce infectious diseases overall. In contrast, no such reduction in ILI activity was observed in 2020 after the first COVID-19 case was reported in the USA. We suggest that infectious diseases data can be used to inform effective public health policies needed to break the transmission chain of COVID-19 and that ongoing monitoring of infectious diseases data can provide confidence about nationwide health.

Indexed as

Communicable Disease ControlCOVID-19HumansPandemicsSARS-CoV-2Taiwancontrol of diseasesCOVID-19epidemiology

Identifiers

PMID33893185
PMCPMC8292557

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.