ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection

African Swine Fever (ASF) is a deadly, viral, swine disease with serious socio-economic impacts across the globe. Developing effective active surveillance strategies is critical, given the relatively long herd level incubation period for ASF. We developed an interactive web application that interfac...

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Main Authors: Sasidhar Malladi, Peter J. Bonney, Sylvia Wanzala Martin, Amos Ssematimba, Kaitlyn M. St. Charles, Kathleen C. O'Hara, Marta D. Remmenga, Michelle Leonard, Holden C. Hutchinson, Cesar A. Corzo, Marie R. Culhane
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:SoftwareX
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Online Access:http://www.sciencedirect.com/science/article/pii/S235271102500072X
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author Sasidhar Malladi
Peter J. Bonney
Sylvia Wanzala Martin
Amos Ssematimba
Kaitlyn M. St. Charles
Kathleen C. O'Hara
Marta D. Remmenga
Michelle Leonard
Holden C. Hutchinson
Cesar A. Corzo
Marie R. Culhane
author_facet Sasidhar Malladi
Peter J. Bonney
Sylvia Wanzala Martin
Amos Ssematimba
Kaitlyn M. St. Charles
Kathleen C. O'Hara
Marta D. Remmenga
Michelle Leonard
Holden C. Hutchinson
Cesar A. Corzo
Marie R. Culhane
author_sort Sasidhar Malladi
collection DOAJ
description African Swine Fever (ASF) is a deadly, viral, swine disease with serious socio-economic impacts across the globe. Developing effective active surveillance strategies is critical, given the relatively long herd level incubation period for ASF. We developed an interactive web application that interfaces with a heterogeneous within-herd disease transmission model and enables rapid exploration of various ASF transmission scenarios and premovement surveillance options for finisher swine herds. The application demonstrates the effects of various surveillance design aspects and illustrates the benefit of an enhanced targeted biosecurity interval before movement. Developing such interactive tools can help translate complex mathematical models, and advance communication of ASF risk and surveillance strategies.
format Article
id doaj-art-2fcae6d1a49f4832902c4e041e9f1ec5
institution OA Journals
issn 2352-7110
language English
publishDate 2025-05-01
publisher Elsevier
record_format Article
series SoftwareX
spelling doaj-art-2fcae6d1a49f4832902c4e041e9f1ec52025-08-20T02:38:06ZengElsevierSoftwareX2352-71102025-05-013010210510.1016/j.softx.2025.102105ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detectionSasidhar Malladi0Peter J. Bonney1Sylvia Wanzala Martin2Amos Ssematimba3Kaitlyn M. St. Charles4Kathleen C. O'Hara5Marta D. Remmenga6Michelle Leonard7Holden C. Hutchinson8Cesar A. Corzo9Marie R. Culhane10Secure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USA; US Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, USA; Corresponding author.Secure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USASecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USASecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USA; Department of Mathematics, Faculty of Science, Gulu University, Gulu, UgandaSecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USAUS Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, USAUS Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, USASecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USAUS Department of Agriculture, Animal and Plant Health Inspection Service, Veterinary Services, Strategy and Policy, Center for Epidemiology and Animal Health, Fort Collins, CO, USASecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USASecure Food Systems Team, University of Minnesota, St. Paul, MN 55108, USAAfrican Swine Fever (ASF) is a deadly, viral, swine disease with serious socio-economic impacts across the globe. Developing effective active surveillance strategies is critical, given the relatively long herd level incubation period for ASF. We developed an interactive web application that interfaces with a heterogeneous within-herd disease transmission model and enables rapid exploration of various ASF transmission scenarios and premovement surveillance options for finisher swine herds. The application demonstrates the effects of various surveillance design aspects and illustrates the benefit of an enhanced targeted biosecurity interval before movement. Developing such interactive tools can help translate complex mathematical models, and advance communication of ASF risk and surveillance strategies.http://www.sciencedirect.com/science/article/pii/S235271102500072XAfrican Swine FeverDisease transmission dynamicsActive surveillanceSimulation modelsR Shiny
spellingShingle Sasidhar Malladi
Peter J. Bonney
Sylvia Wanzala Martin
Amos Ssematimba
Kaitlyn M. St. Charles
Kathleen C. O'Hara
Marta D. Remmenga
Michelle Leonard
Holden C. Hutchinson
Cesar A. Corzo
Marie R. Culhane
ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
SoftwareX
African Swine Fever
Disease transmission dynamics
Active surveillance
Simulation models
R Shiny
title ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
title_full ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
title_fullStr ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
title_full_unstemmed ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
title_short ASF Shiny app: An interactive web application for exploring premovement active surveillance scenarios for early African Swine Fever detection
title_sort asf shiny app an interactive web application for exploring premovement active surveillance scenarios for early african swine fever detection
topic African Swine Fever
Disease transmission dynamics
Active surveillance
Simulation models
R Shiny
url http://www.sciencedirect.com/science/article/pii/S235271102500072X
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