Evidence map›Paper›PMID 27588425›Full record

ArticlePLoS neglected tropical diseases2016

A Unified Framework for the Infection Dynamics of Zoonotic Spillover and Spread.

Giovanni Lo Iacono, Andrew A Cunningham, Elisabeth Fichet-Calvet, Robert F Garry, Donald S Grant, Melissa Leach, Lina M Moses, Gordon Nichols, John S Schieffelin, Jeffrey G Shaffer and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
6.7field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Modelling Lassa virus dynamics in West AfricanJournal of the Royal Society, Interface · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Lassa Virus Genetics.Current topics in microbiology and immunology · 2023
    Article
  13. Article
  14. Review
  15. Understanding the origin of COVID-19 requires to change the paradigm on zoonotic emergence from the spillover to the circulation model.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Review
  16. Spillover, hybridization, and persistence in schistosome transmission dynamics at the human-animal interface.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  17. Review
  18. Habitat loss and the risk of disease outbreak.Journal of environmental economics and management · 2021
    Article
  19. Article
  20. One Health, "Disease X" & the challenge of "Unknown" Unknowns.The Indian journal of medical research · 2021
    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

12 authors at 7 institutions in 3 countries.

Giovanni Lo IaconoDepartment of Veterinary Medicine, Disease Dynamics Unit, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-6150-2843
Andrew A CunninghamInstitute of Zoology, Zoological Society of London, United Kingdom.
Elisabeth Fichet-CalvetBernhard-Nocht Institute of Tropical Medicine, Hamburg, Germany.
Robert F GarryDepartment of Microbiology and Immunology, Tulane University, New Orleans, Louisiana, United States of America.
Donald S GrantLassa Fever Program, Kenema Government Hospital, Kenema, Sierra Leone.
Melissa LeachInstitute of Development Studies, University of Sussex, Brighton, United Kingdom.
Lina M MosesDepartment of Microbiology and Immunology, Tulane University, New Orleans, Louisiana, United States of America.
Gordon NicholsGastrointestinal, Emerging and Zoonotic Infections, Public Health England, London, United Kingdom.
John S SchieffelinSections of Infectious Disease, Departments of Pediatrics and Internal Medicine, School of Medicine, Tulane University, New Orleans, Louisiana, United States of America.
Jeffrey G ShafferDepartment of Biostatistics and Bioinformatics, Tulane School of Public Health and Tropical Medicine, New Orleans, Louisiana, United States of America.
Colleen T WebbDepartment of Biology, Colorado State University, Fort Collins, Colorado, United States of America.
James L N WoodDepartment of Veterinary Medicine, Disease Dynamics Unit, University of Cambridge, Cambridge, United Kingdom.
Tulane University · USUniversity of Cambridge · GBBernhard Nocht Institute for Tropical Medicine · DEColorado State University · USPublic Health England · GBUniversity of Sussex · GBZoological Society of London · GB

Funding

Mechanistic Virology CoreU19AI109762 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI SAPHIRE, ERICA OLLMANN · 2014 to 2018
$29.6M
Tulane Building Interdisciplinary Research Careers in Women's Health (BIRCWH)K12HD043451 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI KROUSEL-WOOD, MARIE · 2002 to 2023
$9.9M
Mentoring Translational Researchers in LouisianaP20GM103501 · NIGMS · LSU HEALTH SCIENCES CENTER · PI OCHOA, AUGUSTO C. · 2012 to 2014
$6.3M
Antibody immunotherapeutics for biodefense against Lassa virusR01AI104621 · NIAID · TULANE UNIVERSITY OF LOUISIANA · PI GARRY, ROBERT F · 2013 to 2017
$5.8M
Recombinant antigen diagnostics for filovirusesR44AI088843 · NIAID · ZALGEN LABS, LLC · PI BOISEN, MATTHEW L · 2014 to 2016
$3.0M
Department of HealthNIAID NIH HHS HHSN272200900049CNIAID NIH HHS HHSN272201000022CNIAID NIH HHS R01 AI104621NIAID NIH HHS R44 AI088843NIAID NIH HHS U19 AI109762NICHD NIH HHS K12 HD043451NIGMS NIH HHS P20 GM103501Wellcome Trust 100891
6 · The paper itself

Abstract

A considerable amount of disease is transmitted from animals to humans and many of these zoonoses are neglected tropical diseases. As outbreaks of SARS, avian influenza and Ebola have demonstrated, however, zoonotic diseases are serious threats to global public health and are not just problems confined to remote regions. There are two fundamental, and poorly studied, stages of zoonotic disease emergence: 'spillover', i.e. transmission of pathogens from animals to humans, and 'stuttering transmission', i.e. when limited human-to-human infections occur, leading to self-limiting chains of transmission. We developed a transparent, theoretical framework, based on a generalization of Poisson processes with memory of past human infections, that unifies these stages. Once we have quantified pathogen dynamics in the reservoir, with some knowledge of the mechanism of contact, the approach provides a tool to estimate the likelihood of spillover events. Comparisons with independent agent-based models demonstrates the ability of the framework to correctly estimate the relative contributions of human-to-human vs animal transmission. As an illustrative example, we applied our model to Lassa fever, a rodent-borne, viral haemorrhagic disease common in West Africa, for which data on human outbreaks were available. The approach developed here is general and applicable to a range of zoonoses. This kind of methodology is of crucial importance for the scientific, medical and public health communities working at the interface between animal and human diseases to assess the risk associated with the disease and to plan intervention and appropriate control measures. The Lassa case study revealed important knowledge gaps, and opportunities, arising from limited knowledge of the temporal patterns in reporting, abundance of and infection prevalence in, the host reservoir.

Indexed as

Models, TheoreticalAnimalsDisease OutbreaksDisease SusceptibilityHumansLassa FeverRodentiaZoonoses

Identifiers

PMID27588425
PMCPMC5010258
OpenAlexW2516940191

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.