Evidence map›Paper›PMID 34823222›Full record

ArticleEpidemics2021

Challenges in evaluating risks and policy options around endemic establishment or elimination of novel pathogens.

C Jessica E Metcalf, Soa Fy Andriamandimby, Rachel E Baker, Emma E Glennon, Katie Hampson, T Deirdre Hollingsworth, Petra Klepac, Amy Wesolowski

Abstract read
In one paragraph

Article in Epidemics, 2021. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

C Jessica E MetcalfDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton School of Public and International Affairs, Princeton University, Princeton, USA. Electronic address: cmetcalf@princeton.edu.
Soa Fy AndriamandimbyInstitut Pasteur de Madagascar, Antananarivo, Madagascar.
Rachel E BakerDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USA; Princeton High Meadows Environmental Institute, Princeton University, Princeton, NJ, USA.
Emma E GlennonDisease Dynamics Unit, Department of Veterinary Medicine, University of Cambridge, Cambridge CB3 0ES, UK.
Katie HampsonInstitute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow, Glasgow, UK.
T Deirdre HollingsworthBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
Petra KlepacLondon School of Hygiene and Tropical Medicine, London, UK.
Amy WesolowskiJohns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

Funding

Disease Emergence and Elimination: Using Mobility Data to Inform Spatial Disease DynamicsDP2LM013102 · NLM · JOHNS HOPKINS UNIVERSITY · PI WESOLOWSKI, AMY · 2018 to 2018
$2.5M
Medical Research Council MR/R025649/1NLM NIH HHS DP2 LM013102Wellcome Trust 207569Wellcome Trust 207569/Z/17/ZWellcome Trust 220463
6 · The paper itself

Abstract

When a novel pathogen emerges there may be opportunities to eliminate transmission - locally or globally - whilst case numbers are low. However, the effort required to push a disease to elimination may come at a vast cost at a time when uncertainty is high. Models currently inform policy discussions on this question, but there are a number of open challenges, particularly given unknown aspects of the pathogen biology, the effectiveness and feasibility of interventions, and the intersecting political, economic, sociological and behavioural complexities for a novel pathogen. In this overview, we detail how models might identify directions for better leveraging or expanding the scope of data available on the pathogen trajectory, for bounding the theoretical context of emergence relative to prospects for elimination, and for framing the larger economic, behavioural and social context that will influence policy decisions and the pathogen's outcome.

Indexed as

PolicyEliminationEmergenceEndemicEpidemicMathematical model

Identifiers

PMID34823222
PMCPMC7612525

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.