Evidence map›Paper›PMID 30884913›Full record

ReviewInternational journal of environmental research and public health2019

Modeling

Jason K Blackburn, Holly H Ganz, José Miguel Ponciano, Wendy C Turner, Sadie J Ryan, Pauline Kamath, Carrie Cizauskas, Kyrre Kausrud, Robert D Holt, Nils Chr Stenseth and 1 more

Abstract readReview
In one paragraph

Review in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. InvestigatingbioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Population genomics of diarrheagenic Escherichia coli uncovers high connectivity between urban and rural communities in Ecuador.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2023
    Article
  9. Article
  10. Article
  11. Detection ofFood and waterborne parasitology · 2022
    Article
  12. Emerging Animal-Associated Fungal Diseases.Journal of fungi (Basel, Switzerland) · 2022
    Review
  13. Population genomics ofMicrobial genomics · 2022
    Article
  14. Article
  15. Environmental suitability of bare-nosed wombat burrows forInternational journal for parasitology. Parasites and wildlife · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. 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

11 authors.

Jason K BlackburnSpatial Epidemiology and Ecology Research Laboratory, Department of Geography, University of Florida, 3141 Turlington Hall, Gainesville, FL 32611, USA. jkblackburn@ufl.edu.
Holly H GanzDavis Genome Center, University of California, 451 Health Sciences Dr., Davis, CA 95616, USA. holly.ganz@mac.com.
José Miguel PoncianoDepartment of Biology, University of Florida, Gainesville, FL 32611, USA. josemi@ufl.edu.
Wendy C TurnerDepartment of Biological Sciences, State University of New York, 1400 Washington Avenue, Albany, NY 12222, USA. wcturner@albany.edu.
Sadie J RyanEmerging Pathogens Institute, University of Florida, 2055 Mowry Road, Gainesville, FL 32611, USA. sjryan@ufl.edu.
Pauline KamathSchool of Food and Agriculture, University of Maine, 5763 Rogers Hall, Room 210, Orono, ME 04469, USA. pauline.kamath@maine.edu.
Carrie CizauskasDepartment of Environmental Science, Policy, and Management, University of California, Berkeley, 130 Mulford Hall, Berkeley, CA 94720, USA. cizauskas@gmail.com.
Kyrre KausrudCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, 0361 Oslo, Norway. kyrre.kausrud@gmail.com.
Robert D HoltDepartment of Biology, University of Florida, Gainesville, FL 32611, USA. rdholt@ufl.edu.
Nils Chr StensethCentre for Ecological and Evolutionary Synthesis (CEES), Department of Biosciences, University of Oslo, P.O. Box 1066 Blindern, 0361 Oslo, Norway. n.c.stenseth@ibv.uio.no.
Wayne M GetzSchool of Food and Agriculture, University of Maine, 5763 Rogers Hall, Room 210, Orono, ME 04469, USA. wgetz@berkeley.edu.

Funding

Spatio-temporally explicit estimation of R0 for pathogens with environmentally-mediated transmissionR01GM117617 · NIGMS · UNIVERSITY OF FLORIDA · PI BLACKBURN, JASON K · 2015 to 2018
$1.5M
NIGMS NIH HHS R01 GM117617
6 · The paper itself

Abstract

How a disease is transmitted affects our ability to determine R₀, the average number of new cases caused by an infectious host at the onset of an epidemic. R₀ becomes progressively more difficult to compute as transmission varies from directly transmitted diseases to diseases that are vector-borne to environmentally transmitted diseases. Pathogens responsible for diseases with environmental transmission are typically maintained in environmental reservoirs that exhibit a complex spatial distribution of local infectious zones (LIZs). Understanding host encounters with LIZs and pathogen persistence within LIZs is required for an accurate R₀ and modeling these contacts requires an integrated geospatial and dynamical systems approach. Here we review how interactions between host and pathogen populations and environmental reservoirs are driven by landscape-level variables, and synthesize the quantitative framework needed to formulate outbreak response and disease control.

Indexed as

Animal MigrationModels, BiologicalAnimalsCommunicable DiseasesDisease OutbreaksHumansanimal movementbasic reproductive number (R0)disease controldisease emergenceindirect disease transmissionpathogen spillover

Identifiers

PMID30884913
PMCPMC6466347

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.