Evidence map›Paper›PMID 33073176›Full record

ArticleOne health outlook2020

Controlling emerging zoonoses at the animal-human interface.

Riley O Mummah, Nicole A Hoff, Anne W Rimoin, James O Lloyd-Smith

Open access · goldAbstract read
In one paragraph

Article in One health outlook, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Mathematical modeling of mpox: A scoping review.One health (Amsterdam, Netherlands) · 2023
    Article
  6. Review
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 at 2 institutions in 1 country.

Riley O MummahDepartment of Ecology and Evolutionary Biology, University of California, 610 Charles E Young Dr S, Los Angeles, CA 90095 USA.ORCID 0000-0002-4542-3483
Nicole A HoffDepartment of Epidemiology, University of California, Los Angeles, CA 90095 USA.
Anne W RimoinDepartment of Epidemiology, University of California, Los Angeles, CA 90095 USA.
James O Lloyd-SmithDepartment of Ecology and Evolutionary Biology, University of California, 610 Charles E Young Dr S, Los Angeles, CA 90095 USA.
University of California, Los Angeles · USNational Institutes of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFor many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmission. Interventions aiming to reduce incidence of these infections can be focused on preventing spillover or reducing human-to-human transmission, or sometimes both at once, and typically are governed by resource constraints that require policymakers to make choices. Despite increasing emphasis on using mathematical models to inform disease control policies, little attention has been paid to guiding rational disease control at the animal-human interface.

methodsWe introduce a modeling framework to analyze the impacts of different disease control policies, focusing on pathogens exhibiting subcritical transmission among humans (i.e. pathogens that cannot establish sustained human-to-human transmission). We quantify the relative effectiveness of measures to reduce spillover (e.g. reducing contact with animal hosts), human-to-human transmission (e.g. case isolation), or both at once (e.g. vaccination), across a range of epidemiological contexts.

resultsWe provide guidelines for choosing which mode of control to prioritize in different epidemiological scenarios and considering different levels of resource and relative costs. We contextualize our analysis with current zoonotic pathogens and other subcritical pathogens, such as post-elimination measles, and control policies that have been applied.

conclusionsOur work provides a model-based, theoretical foundation to understand and guide policy for subcritical zoonoses, integrating across disciplinary and species boundaries in a manner consistent with One Health principles.

Indexed as

Cross-species spillover transmissionEmerging infectious diseasesEpidemiological controlHuman-to-human transmissionInfectious disease dynamicsStuttering zoonosesSubcritical zoonoses

Identifiers

PMID33073176
PMCPMC7550773
OpenAlexW3046265208

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.