Evidence map›Paper›PMID 35663468›Full record

SynthesisFrontiers in cellular and infection microbiology2022

Effects of COVID-19 Non-Pharmacological Interventions on Dengue Infection: A Systematic Review and Meta-Analysis.

Qin Wu, Shuwen Dong, Xiaokang Li, Boyang Yi, Huan Hu, Zhongmin Guo, Jiahai Lu

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  4. Review
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  9. Observational
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  14. Journal of traditional and complementary medicine · 2023
    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

7 authors at 2 institutions in 1 country.

Qin WuOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Shuwen DongOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiaokang LiOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Boyang YiOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Huan HuOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Zhongmin GuoSun Yat-Sen College of Medical Science, Sun Yat-sen University, Guangzhou, China.
Jiahai LuOne Health Center of Excellence for Research and Training, School of Public Health, Sun Yat-sen University, Guangzhou, China.
Sun Yat-sen University · CNNational Medical Products Administration · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-pharmacological interventions (NPIs) implemented during the coronavirus disease 2019 (COVID-19) pandemic have demonstrated significant positive effects on other communicable diseases. Nevertheless, the response for dengue fever has been mixed. To illustrate the real implications of NPIs on dengue transmission and to determine the effective measures for preventing and controlling dengue, we performed a systematic review and meta-analysis of the available global data to summarize the effects comprehensively. We searched Embase, PubMed, and Web of Science in line with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines from December 31, 2019, to March 30, 2022, for studies of NPI efficacy on dengue infection. We obtained the annual reported dengue cases from highly dengue-endemic countries in 2015-2021 from the European Centre for Disease Prevention and Control to determine the actual change in dengue cases in 2020 and 2021, respectively. A random-effects estimate of the pooled odds was generated with the Mantel-Haenszel method. Between-study heterogeneity was assessed using the inconsistency index (

Indexed as

COVID-19DengueHumansPandemicsTravelTravel-Related IllnessCOVID-19dengue incidencemeta-analysismobility restrictionsnon-pharmacological interventions

Identifiers

PMID35663468
PMCPMC9162155
OpenAlexW4280510370

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.