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Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic

BACKGROUND: West Nile Virus (WNV) was first isolated in 1937. Since the 1950s, many outbreaks have occurred in various countries. The first appearance of infected birds in Manitoba, Canada was in 2002. OBJECTIVE: This paper describes the data preparation phase of setting up a geographic information...

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Autores principales: Nasrinpour, Hamid Reza, Reimer, Alexander A, Friesen, Marcia R, McLeod, Robert D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537560/
https://www.ncbi.nlm.nih.gov/pubmed/28716770
http://dx.doi.org/10.2196/resprot.6213
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author Nasrinpour, Hamid Reza
Reimer, Alexander A
Friesen, Marcia R
McLeod, Robert D
author_facet Nasrinpour, Hamid Reza
Reimer, Alexander A
Friesen, Marcia R
McLeod, Robert D
author_sort Nasrinpour, Hamid Reza
collection PubMed
description BACKGROUND: West Nile Virus (WNV) was first isolated in 1937. Since the 1950s, many outbreaks have occurred in various countries. The first appearance of infected birds in Manitoba, Canada was in 2002. OBJECTIVE: This paper describes the data preparation phase of setting up a geographic information system (GIS) simulation environment for WNV Agent-Based Modelling in Manitoba. METHODS: The main technology used in this protocol is based on AnyLogic and ArcGIS software. A diverse variety of topics and techniques regarding the data collection phase are presented, as modelling WNV has many disparate attributes, including landscape and weather impacts on mosquito population dynamics and birds’ roosting locations, population count, and movement patterns. RESULTS: Different maps were combined to create a grid land cover map of Manitoba, Canada in a shapefile format compatible with AnyLogic, in order to modulate mosquito parameters. A significant amount of data regarding 152 bird species, along with their population estimates and locations in Manitoba, were gathered and assembled. Municipality shapefile maps were converted to built-in AnyLogic GIS regions for better compatibility with census data and initial placement of human agents. Accessing shapefiles and their databases in AnyLogic are also discussed. CONCLUSIONS: AnyLogic simulation software in combination with Esri ArcGIS provides a powerful toolbox for developers and modellers to simulate almost any GIS-based environment or process. This research should be useful to others working on a variety of mosquito-borne diseases (eg, Zika, dengue, and chikungunya) by demonstrating the importance of data relating to Manitoba and/or introducing procedures to compile such data.
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spelling pubmed-55375602017-08-21 Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic Nasrinpour, Hamid Reza Reimer, Alexander A Friesen, Marcia R McLeod, Robert D JMIR Res Protoc Protocol BACKGROUND: West Nile Virus (WNV) was first isolated in 1937. Since the 1950s, many outbreaks have occurred in various countries. The first appearance of infected birds in Manitoba, Canada was in 2002. OBJECTIVE: This paper describes the data preparation phase of setting up a geographic information system (GIS) simulation environment for WNV Agent-Based Modelling in Manitoba. METHODS: The main technology used in this protocol is based on AnyLogic and ArcGIS software. A diverse variety of topics and techniques regarding the data collection phase are presented, as modelling WNV has many disparate attributes, including landscape and weather impacts on mosquito population dynamics and birds’ roosting locations, population count, and movement patterns. RESULTS: Different maps were combined to create a grid land cover map of Manitoba, Canada in a shapefile format compatible with AnyLogic, in order to modulate mosquito parameters. A significant amount of data regarding 152 bird species, along with their population estimates and locations in Manitoba, were gathered and assembled. Municipality shapefile maps were converted to built-in AnyLogic GIS regions for better compatibility with census data and initial placement of human agents. Accessing shapefiles and their databases in AnyLogic are also discussed. CONCLUSIONS: AnyLogic simulation software in combination with Esri ArcGIS provides a powerful toolbox for developers and modellers to simulate almost any GIS-based environment or process. This research should be useful to others working on a variety of mosquito-borne diseases (eg, Zika, dengue, and chikungunya) by demonstrating the importance of data relating to Manitoba and/or introducing procedures to compile such data. JMIR Publications 2017-07-17 /pmc/articles/PMC5537560/ /pubmed/28716770 http://dx.doi.org/10.2196/resprot.6213 Text en ©Hamid Reza Nasrinpour, Alexander A Reimer, Marcia R Friesen, Robert D McLeod. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 17.07.2017. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Nasrinpour, Hamid Reza
Reimer, Alexander A
Friesen, Marcia R
McLeod, Robert D
Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title_full Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title_fullStr Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title_full_unstemmed Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title_short Data Preparation for West Nile Virus Agent-Based Modelling: Protocol for Processing Bird Population Estimates and Incorporating ArcMap in AnyLogic
title_sort data preparation for west nile virus agent-based modelling: protocol for processing bird population estimates and incorporating arcmap in anylogic
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5537560/
https://www.ncbi.nlm.nih.gov/pubmed/28716770
http://dx.doi.org/10.2196/resprot.6213
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