Evidence map›Paper›PMID 36127637›Full record

ArticleBMC infectious diseases2022

COVID's collateral damage: likelihood of measles resurgence in the United States.

Mugdha Thakur, Richard Zhou, Mukundan Mohan, Achla Marathe, Jiangzhuo Chen, Stefan Hoops, Dustin Machi, Bryan Lewis, Anil Vullikanti

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Measles: Contemporary considerations for the emergency physician.Journal of the American College of Emergency Physicians open · 2023
    Review
  8. Article
  9. Observational
  10. Are all underimmunized measles clusters equally critical?medRxiv : the preprint server for health sciences · 2023
    Article
  11. Review
  12. 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

9 authors at 1 institution in 1 country.

Mugdha ThakurBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA. mat3kk@virginia.edu.
Richard ZhouBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Mukundan MohanBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Achla MaratheBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Jiangzhuo ChenBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Stefan HoopsBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Dustin MachiBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Bryan LewisBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Anil VullikantiBiocomplexity Institute, Town Center Four, 994 Research Park Boulevard, Charlottesville, VA, 22904, USA.
Biocom · 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
NIGMS NIH HHS R01 GM109718
6 · The paper itself

Abstract

backgroundLockdowns imposed throughout the US to control the COVID-19 pandemic led to a decline in all routine immunizations rates, including the MMR (measles, mumps, rubella) vaccine. It is feared that post-lockdown, these reduced MMR rates will lead to a resurgence of measles.

methodsTo measure the potential impact of reduced MMR vaccination rates on measles outbreak, this research examines several counterfactual scenarios in pre-COVID-19 and post-COVID-19 era. An agent-based modeling framework is used to simulate the spread of measles on a synthetic yet realistic social network of Virginia. The change in vulnerability of various communities to measles due to reduced MMR rate is analyzed.

resultsResults show that a decrease in vaccination rate [Formula: see text] has a highly non-linear effect on the number of measles cases and this effect grows exponentially beyond a threshold [Formula: see text]. At low vaccination rates, faster isolation of cases and higher compliance to home-isolation are not enough to control the outbreak. The overall impact on urban and rural counties is proportional to their population size but the younger children, African Americans and American Indians are disproportionately infected and hence are more vulnerable to the reduction in the vaccination rate.

conclusionsAt low vaccination rates, broader interventions are needed to control the outbreak. Identifying the cause of the decline in vaccination rates (e.g., low income) can help design targeted interventions which can dampen the disproportional impact on more vulnerable populations and reduce disparities in health. Per capita burden of the potential measles resurgence is equivalent in the rural and the urban communities and hence proportionally equitable public health resources should be allocated to rural regions.

Indexed as

COVID-19MeaslesChildCommunicable Disease ControlHumansMeasles-Mumps-Rubella VaccinePandemicsUnited StatesMeasles-Mumps-Rubella VaccineAgent-based modelHealth equityHome isolationMMR vaccinationNetwork epidemiologyNISSocial networkVulnerable populations

Identifiers

PMID36127637
PMCPMC9487857
OpenAlexW4296709986

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.