Evidence map›Paper›PMID 35116142›Full record

ArticleRoyal Society open science2022

Containing the spread of mumps on college campuses.

Mirai Shah, Gabrielle Ferra, Susan Fitzgerald, Paul J Barreira, Pardis C Sabeti, Andrés Colubri

Abstract read
In one paragraph

Article in Royal Society open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Modeling the population-level impact of a third dose of MMR vaccine on a mumps outbreak at the University of Iowa.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  2. Article
  3. Containing the spread of mumps on college campuses.Royal Society open science · 2022
    Article
  4. 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

6 authors.

Mirai ShahHarvard College, Cambridge, MA, USA.
Gabrielle FerraBrown University, Providence, RI, USA.
Susan FitzgeraldHarvard University Health Services, Cambridge, MA, USA.
Paul J BarreiraHarvard Medical School, Boston, MA, USA.
Pardis C SabetiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.
Andrés ColubriDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.ORCID 0000-0001-5559-9661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

College campuses are vulnerable to infectious disease outbreaks, and there is an urgent need to develop better strategies to mitigate their size and duration, particularly as educational institutions around the world adapt to in-person instruction during the COVID-19 pandemic. Towards addressing this need, we applied a stochastic compartmental model to quantify the impact of university-level responses to contain a mumps outbreak at Harvard University in 2016. We used our model to determine which containment interventions were most effective and study alternative scenarios without and with earlier interventions. This model allows for stochastic variation in small populations, missing or unobserved case data and changes in disease transmission rates post-intervention. The results suggest that control measures implemented by the University's Health Services, including rapid isolation of suspected cases, were very effective at containing the outbreak. Without those measures, the outbreak could have been four times larger. More generally, we conclude that universities should apply (i) diagnostic protocols that address false negatives from molecular tests and (ii) strict quarantine policies to contain the spread of easily transmissible infectious diseases such as mumps among their students. This modelling approach could be applied to data from other outbreaks in college campuses and similar small population settings.

Indexed as

college campusHarvard Universityinfectious diseasemumps outbreakpublic health interventionstochastic susceptible exposed infectious recovered model

Identifiers

PMID35116142
PMCPMC8790351

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.