First-Passage Time Analysis Based on GPS Data Offers a New Approach to Estimate Restricted Zones for the Management of Infectious Diseases in Wildlife: A Case Study Using the Example of African Swine Fever.

Elodie Wielgus, Alisa Klamm, Franz J Conraths, Carsten F Dormann, Maik Henrich, Franz Kronthaler, Marco Heurich

Abstract read

In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Elodie WielgusNational Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straße. 2, Grafenau 94481, Germany.ORCID https://orcid.org/0000-0001-8323-5128

Alisa KlammHainich National Park Administration, Department of Conservation and Research, Bei der Marktkirche 9, Bad Langensalza 99947, Germany.ORCID https://orcid.org/0009-0003-6501-2520

Franz J ConrathsFriedrich-Loeffler-Institut, Federal Research Institute for Animal Health, Institute of Epidemiology, Südufer 10, Greifswald-Insel Riems 17493, Germany.ORCID https://orcid.org/0000-0002-7400-9409

Carsten F DormannFaculty of Environment and Natural Resources, University of Freiburg, Tennenbacher Straße. 4, 79106, Freiburg, Germany.

Maik HenrichNational Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straße. 2, Grafenau 94481, Germany.ORCID https://orcid.org/0000-0001-5942-1668

Franz KronthalerBavarian Health and Food Safety Authority, Veterinärstraße 2, Oberschleißheim 85764, Germany.ORCID https://orcid.org/0009-0004-8917-9752

Marco HeurichNational Park Monitoring and Animal Management, Bavarian Forest National Park, Freyunger Straße. 2, Grafenau 94481, Germany.ORCID https://orcid.org/0000-0003-0051-2930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An essential part of any disease containment and eradication policy is the implementation of restricted zones, but determining the appropriate size of these zones can be challenging for managers. We designed a new method, based on animal movement, to help assess how large restricted zones should be after a spontaneous outbreak to successfully control infectious diseases in wildlife. Our approach uses first-passage time (FPT) analysis and Cox proportional hazard (CPH) models to calculate and compare the risk of an animal leaving different-sized areas. We illustrate our approach using the example of the African swine fever (ASF) virus and its wild pig reservoir host species, the wild boar (

Indexed as

African Swine FeverGeographic Information SystemsSus scrofaAfrican Swine Fever VirusAnimalsAnimals, WildDisease OutbreaksFemaleGermanyMaleSwine

Identifiers

PMID40303815

DOI10.1155/2023/4024083

PMCPMC12017023

What OpenQuestion holds

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LicenceCC BY

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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.