Evidence map›Paper›PMID 38062417›Full record

ArticleBMC public health2023

Spatiotemporal variations of "triple-demic" outbreaks of respiratory infections in the United States in the post-COVID-19 era.

Wei Luo, Qianhuang Liu, Yuxuan Zhou, Yiding Ran, Zhaoyin Liu, Weitao Hou, Sen Pei, Shengjie Lai

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 2% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  11. Detection of SARS-CoV-2 RNA on air purifier filters in university spaces without symptomatic or confirmed cases.Aerosol science and technology : the journal of the American Association for Aerosol Research · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 4 countries.

Wei Luo *GeoSpatialX Lab, Department of Geography, National University of Singapore, 1 Arts Link, #04-32 Block AS2, Singapore, 117570, Singapore. geowl@nus.edu.sg.
Qianhuang Liu *GeoSpatialX Lab, Department of Geography, National University of Singapore, 1 Arts Link, #04-32 Block AS2, Singapore, 117570, Singapore.
Yuxuan Zhou *Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China.
Yiding RanGeoSpatialX Lab, Department of Geography, National University of Singapore, 1 Arts Link, #04-32 Block AS2, Singapore, 117570, Singapore.
Zhaoyin LiuGeoSpatialX Lab, Department of Geography, National University of Singapore, 1 Arts Link, #04-32 Block AS2, Singapore, 117570, Singapore.
Weitao HouDepartment Of Biological Sciences, National University of Singapore, Singapore, Singapore.
Sen PeiDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, USA.
Shengjie LaiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton, SO17 1BJ, UK. Shengjie.Lai@soton.ac.uk.
National University of Singapore · SGCity University of Hong Kong · HKColumbia University · USUniversity of Southampton · GB

Funding

Human mobility models to forecast disease dynamics and the effectiveness of public health interventionsR01AI160780 · NIAID · JOHNS HOPKINS UNIVERSITY · PI CUMMINGS, DEREK A, WESOLOWSKI, AMY · 2021 to 2025
$3.3M
NIAID NIH HHS R01 AI160780
6 · The paper itself

Abstract

backgroundThe US confronted a "triple-demic" of influenza, respiratory syncytial virus (RSV), and COVID-19 in the winter of 2022, leading to increased respiratory infections and a higher demand for medical supplies. It is urgent to analyze these epidemics and their spatial-temporal co-occurrence, identifying hotspots and informing public health strategies.

methodsWe employed retrospective and prospective space-time scan statistics to assess the situations of COVID-19, influenza, and RSV in 51 US states from October 2021 to February 2022, and from October 2022 to February 2023, respectively. This enabled monitoring of spatiotemporal variations for each epidemic individually and collectively.

resultsCompared to winter 2021, COVID-19 cases decreased while influenza and RSV infections significantly increased in winter 2022. We found a high-risk cluster of influenza and COVID-19 (not all three) in winter 2021. In late November 2022, a large high-risk cluster of triple-demic emerged in the central US. The number of states at high risk for multiple epidemics increased from 15 in October 2022 to 21 in January 2023.

conclusionsOur study offers a novel spatiotemporal approach that combines both univariate and multivariate surveillance, as well as retrospective and prospective analyses. This approach offers a more comprehensive and timely understanding of how the co-occurrence of COVID-19, influenza, and RSV impacts various regions within the United States. Our findings assist in tailor-made strategies to mitigate the effects of these respiratory infections.

Indexed as

COVID-19Influenza, HumanRespiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsRespiratory Tract InfectionsDisease OutbreaksHumansRetrospective StudiesUnited StatesCOVID-19InfluenzaMultivariate surveillanceRespiratory syncytial virusSpace-time clustersTriple-demic

Identifiers

PMID38062417
PMCPMC10704638
OpenAlexW4389429266

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.