Evidence map›Paper›PMID 30832594›Full record

ArticleBMC infectious diseases2019

Impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States.

Meghendra Singh, Prasenjit Sarkhel, Gloria J Kang, Achla Marathe, Kevin Boyle, Pamela Murray-Tuite, Kaja M Abbas, Samarth Swarup

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.9field-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

9 citing papers in PubMed, 28 citations in OpenAlex.

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  7. Personality, trait EI and coping with COVID 19 measures.International journal of disaster risk reduction : IJDRR · 2020
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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

8 authors at 5 institutions in 3 countries.

Meghendra SinghNetwork Dynamics and Simulation Science Laboratory, Biocomplexity Institute of Virginia Tech, Blacksburg, 24060, Virginia, USA.
Prasenjit SarkhelDepartment of Economics, University of Kalyani, Nadia, 741235, West Bengal, India.
Gloria J KangNetwork Dynamics and Simulation Science Laboratory, Biocomplexity Institute of Virginia Tech, Blacksburg, 24060, Virginia, USA.
Achla MaratheBiocomplexity Institute & Initiative, University of Virginia, Charlottesville, 22908, Virginia, USA. achla@virginia.edu.ORCID http://orcid.org/0000-0002-0258-1588
Kevin BoyleDepartment of Agricultural and Applied Economics, Virginia Tech, Blacksburg, 24060, Virginia, USA.
Pamela Murray-TuiteDepartment of Civil Engineering, Clemson University, Clemson, 29634, South Carolina, USA.
Kaja M AbbasDepartment of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, WC1E7HT, UK.
Samarth SwarupBiocomplexity Institute & Initiative, University of Virginia, Charlottesville, 22908, Virginia, USA.
Biocom · USClemson University · USLondon School of Hygiene & Tropical Medicine · GBUniversity of Kalyani · INVirginia Tech · US

Funding

Systems Analysis of Social Pathways of Epidemics to Reduce Health DisparitiesR01GM109718 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARATHE, ACHLA, VULLIKANTI, ANIL · 2014 to 2022
$3.6M
Defense Threat Reduction Agency HDTRA1-11-1-0016Directorate for Education and Human Resources NRT-DESE- 154362Directorate for Social, Behavioral and Economic Sciences 1520359National Institute of General Medical Sciences 1R01GM109718NIGMS NIH HHS R01 GM109718
6 · The paper itself

Abstract

backgroundSelf-protective behaviors of social distancing and vaccination uptake vary by demographics and affect the transmission dynamics of influenza in the United States. By incorporating the socio-behavioral differences in social distancing and vaccination uptake into mathematical models of influenza transmission dynamics, we can improve our estimates of epidemic outcomes. In this study we analyze the impact of demographic disparities in social distancing and vaccination on influenza epidemics in urban and rural regions of the United States.

methodsWe conducted a survey of a nationally representative sample of US adults to collect data on their self-protective behaviors, including social distancing and vaccination to protect themselves from influenza infection. We incorporated this data in an agent-based model to simulate the transmission dynamics of influenza in the urban region of Miami Dade county in Florida and the rural region of Montgomery county in Virginia.

resultsWe compare epidemic scenarios wherein the social distancing and vaccination behaviors are uniform versus non-uniform across different demographic subpopulations. We infer that a uniform compliance of social distancing and vaccination uptake among different demographic subpopulations underestimates the severity of the epidemic in comparison to differentiated compliance among different demographic subpopulations. This result holds for both urban and rural regions.

conclusionsBy taking into account the behavioral differences in social distancing and vaccination uptake among different demographic subpopulations in analysis of influenza epidemics, we provide improved estimates of epidemic outcomes that can assist in improved public health interventions for prevention and control of influenza.

Indexed as

Psychological DistanceAdolescentAdultAgedEpidemicsFemaleHealth BehaviorHumansInfluenza, HumanInfluenza VaccinesMaleMiddle AgedModels, TheoreticalRural PopulationUnited StatesUrban PopulationInfluenza VaccinesEpidemicsHealth disparitiesInfluenzaSelf-protective behaviors

Identifiers

PMID30832594
PMCPMC6399923
OpenAlexW2943167964

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.