Evidence map›Paper›PMID 37239591›Full record

ArticleInternational journal of environmental research and public health2023

Who Gets the Flu? Individualized Validation of Influenza-like Illness in Urban Spaces.

Shiran Zhong, Fenglong Ma, Jing Gao, Ling Bian

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Shiran ZhongDepartment of Geography, University of Western Ontario, London, ON N6A 3K7, Canada.ORCID 0000-0001-7616-0797
Fenglong MaCollege of Information Sciences and Technology, Pennsylvania State University, University Park, State College, PA 16802, USA.ORCID 0000-0002-4999-0303
Jing GaoSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA.
Ling BianDepartment of Geography, University at Buffalo, The State University of New York, Buffalo, NY 14261, USA.

Funding

A three-population three-scale social network model to assess disease dispersionR01GM108731 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BIAN, LING, CHEN, CYNTHIA · 2015 to 2019
$2.7M
NIH HHS R01GM108731
6 · The paper itself

Abstract

Urban dwellers are exposed to communicable diseases, such as influenza, in various urban spaces. Current disease models are able to predict health outcomes at the individual scale but are mostly validated at coarse scales due to the lack of fine-scaled ground truth data. Further, a large number of transmission-driving factors have been considered in these models. Because of the lack of individual-scaled validations, the effectiveness of factors at their intended scale is not substantiated. These gaps significantly undermine the efficacy of the models in assessing the vulnerability of individuals, communities, and urban society. The objectives of this study are twofold. First, we aim to model and, most importantly, validate influenza-like illness (ILI) symptoms at the individual scale based on four sets of transmission-driving factors pertinent to home-work space, service space, ambient environment, and demographics. The effort is supported by an ensemble approach. For the second objective, we investigate the effectiveness of the factor sets through an impact analysis. The validation accuracy reaches 73.2-95.1%. The validation substantiates the effectiveness of factors pertinent to urban spaces and unveils the underlying mechanism that connects urban spaces and population health. With more fine-scaled health data becoming available, the findings of this study may see increasing value in informing policies that improve population health and urban livability.

Indexed as

Influenza, HumanPopulation HealthVirus DiseasesHumansPolicyindividualized validationinfluenza-like illnesstransmission-driving factorsurban spaces

Identifiers

PMID37239591
PMCPMC10218228

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.