Evidence map›Paper›PMID 34856500›Full record

ReviewEpidemics2021

Challenges in modelling the dynamics of infectious diseases at the wildlife-human interface.

Mick Roberts, Andrew Dobson, Olivier Restif, Konstans Wells

Abstract readReview
In one paragraph

Review in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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.

Mick RobertsSchool of Natural & Computational Sciences, New Zealand Institute for Advanced Study and the Infectious Disease Research Centre, Massey University, Private Bag 102 904, North Shore Mail Centre, Auckland, New Zealand. Electronic address: m.g.roberts@massey.ac.nz.
Andrew DobsonEEB, Eno Hall, Princeton University, Princeton, NJ 08544, USA; Santa Fe Institute, Hyde Park Rd., Santa Fe, NM, USA.
Olivier RestifDepartment of Veterinary Medicine, University of Cambridge, Madingley Road, Cambridge CB3 0ES, UK.
Konstans WellsDepartment of Biosciences, Swansea University, Swansea SA2 8PP, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Covid-19 pandemic is of zoonotic origin, and many other emerging infections of humans have their origin in an animal host population. We review the challenges involved in modelling the dynamics of wildlife-human interfaces governing infectious disease emergence and spread. We argue that we need a better understanding of the dynamic nature of such interfaces, the underpinning diversity of pathogens and host-pathogen association networks, and the scales and frequencies at which environmental conditions enable spillover and host shifting from animals to humans to occur. The major drivers of the emergence of zoonoses are anthropogenic, including the global change in climate and land use. These, and other ecological processes pose challenges that must be overcome to counterbalance pandemic risk. The development of more detailed and nuanced models will provide better tools for analysing and understanding infectious disease emergence and spread.

Indexed as

Communicable DiseasesCOVID-19AnimalsAnimals, WildHumansPandemicsSARS-CoV-2Climate changeEcological dynamicsEcological invasionsSpilloverZoonoses

Identifiers

PMID34856500
PMCPMC8603269

What OpenQuestion holds

Textmetadata
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.