Evidence map›Paper›PMID 42245036›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Same household, different choices: variation in health behaviors related to respiratory viruses in Illinois.

Soren L Larsen, Junke Yang, Erin M Haslett, Alyssa Anastasi, Annika Venegas, Lydia Schieleit, Ayesha S Mahmud, Pamela P Martinez

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Soren L LarsenDepartment of Demography, University of California Berkeley, Berkeley, CA, USA.ORCID 0000-0003-3409-3447
Junke YangDivision of Biostatistics, College of Public Health, The Ohio State University, Columbus, OH, USA.
Erin M HaslettDepartment of Political Science, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Alyssa AnastasiDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
Annika VenegasDepartment of Mathematics, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Lydia SchieleitDepartment of Statistics, University of Illinois Urbana-Champaign, Urbana, IL, USA.
Ayesha S MahmudDepartment of Demography, University of California Berkeley, Berkeley, CA, USA.ORCID 0000-0002-2282-8613
Pamela P MartinezDepartment of Statistics, University of Illinois Urbana-Champaign, Urbana, IL, USA.ORCID 0000-0002-3607-0938

Funding

Novel data and approaches for dynamic modeling of human behavior and infectious disease ecologyR35GM156856 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Ayesha Sanchita Mahmud · 2024 to 2026
$1.2M
NIGMS NIH HHS R35 GM156856
6 · The paper itself

Abstract

While SARS-CoV-2 and influenza continue to place a significant burden on population health, within-household differences in decisions towards vaccination and seeking care across these two pathogens, and across sociodemographic groups, remain largely unexplored. By conducting a household-level survey in Illinois, we found that many individuals made inconsistent decisions about vaccination: among all adults, 29% were vaccinated for only one of COVID-19 or influenza, and among those with children in the home, 39% lived with a child whose influenza or COVID-19 vaccination status differed from their own. A higher proportion of adults were vaccinated against COVID-19 compared to influenza, while the opposite was true for those younger than 18 years old. These differences hold even when accounting for disparities in coverage by age, race/ethnicity, political affiliation, and socioeconomic status. While vaccinated individuals consistently reported wanting to protect themselves or others, those who declined vaccination reported highly heterogeneous reasons ranging from resource constraints to distrust or misconceptions about vaccination. These differences are even more pronounced for COVID-19, with larger partisan gaps and higher refusal driven by safety concerns, lack of trust, or religious reasons than those who decide not to get the influenza vaccine. In contrast to vaccination, the decision to seek medical care when sick showed opposite sociodemographic trends, that are likely attributable to illness severity. Our findings highlight that closing gaps in COVID-19 and influenza vaccination coverage will require an integrative strategy that accounts for diverse motivations, fears, and barriers to access, while addressing social inequalities common to both diseases.

Identifiers

PMID42245036
PMCPMC13232350

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.