{"title":"评估猪生物安全网站作为教育和推广工具,并确定最终用户参与的最佳实践:一种学习分析方法","authors":"Isha Agrawal , Corinne Bromfield , Csaba Varga","doi":"10.1016/j.prevetmed.2025.106544","DOIUrl":null,"url":null,"abstract":"<div><h3>Introduction</h3><div>Implementing biosecurity measures on commercial and small-scale swine farms is an ongoing effort to prevent the introduction and spread of infectious diseases. Educating and training swine producers on effective on-farm biosecurity practices is imperative. This study aims to assess a swine biosecurity website as an outreach tool and identify best practices for end-user engagement by tracking and analyzing data on user demographics, engagement, and interaction.</div></div><div><h3>Methods</h3><div>User data for a swine biosecurity website were recorded between 5th July 2022 and 31st December 2023 using Google Analytics. A direct interaction between RStudio software and Google Analytics facilitated data export and analysis on user demographics and website traffic. A multivariable negative binomial regression model assessed associations between website event counts (outcome) and predictors representing the type of devices used to access the website and how the website was found. A multivariable linear regression model evaluated associations between the previously described predictor variables and the duration for which the users engaged with the website (outcome). The number of users and event counts in each state was illustrated in choropleth maps, and the Local Moran's I method was used to identify states with a high number of users and event counts to evaluate the website’s outreach across the United States of America (US) and worldwide.</div></div><div><h3>Results</h3><div>Google Analytics reported 768 users with an aggregated event count of 9643. Users were from 78 countries, of which the most users were from the US (708), the Philippines (202), and Canada (49). The website users were distributed across all age categories. The \"biosecurity checklist\" and \"biosecurity protocol of entering the swine farm\" were the most downloaded infographics. The website engagement (total events and engagement duration) was significantly higher if users accessed the website on desktop computers compared to mobile phones and tablets, and was higher for users accessing the website through direct links, and search engines. In the US, local clusters of high website users were identified in leading swine production states, including Iowa, Minnesota, Illinois, Nebraska, Indiana, and Missouri.</div></div><div><h3>Conclusion</h3><div>The study findings support the utility of a web-based learning environment, which can provide swine biosecurity education and resources to a broad audience. The website traffic data obtained through Google Analytics helped examine the website users’ behavioral patterns, preferences, and engagement tendencies, which can be used to enhance the website in the future. The website tracking and analytical methods presented in this study can be applied to other educational websites.</div></div>","PeriodicalId":20413,"journal":{"name":"Preventive veterinary medicine","volume":"240 ","pages":"Article 106544"},"PeriodicalIF":2.2000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluating a swine biosecurity website as an education and outreach tool and identifying best practices for end-user engagement: A learning analytics approach\",\"authors\":\"Isha Agrawal , Corinne Bromfield , Csaba Varga\",\"doi\":\"10.1016/j.prevetmed.2025.106544\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Introduction</h3><div>Implementing biosecurity measures on commercial and small-scale swine farms is an ongoing effort to prevent the introduction and spread of infectious diseases. Educating and training swine producers on effective on-farm biosecurity practices is imperative. This study aims to assess a swine biosecurity website as an outreach tool and identify best practices for end-user engagement by tracking and analyzing data on user demographics, engagement, and interaction.</div></div><div><h3>Methods</h3><div>User data for a swine biosecurity website were recorded between 5th July 2022 and 31st December 2023 using Google Analytics. A direct interaction between RStudio software and Google Analytics facilitated data export and analysis on user demographics and website traffic. A multivariable negative binomial regression model assessed associations between website event counts (outcome) and predictors representing the type of devices used to access the website and how the website was found. A multivariable linear regression model evaluated associations between the previously described predictor variables and the duration for which the users engaged with the website (outcome). The number of users and event counts in each state was illustrated in choropleth maps, and the Local Moran's I method was used to identify states with a high number of users and event counts to evaluate the website’s outreach across the United States of America (US) and worldwide.</div></div><div><h3>Results</h3><div>Google Analytics reported 768 users with an aggregated event count of 9643. Users were from 78 countries, of which the most users were from the US (708), the Philippines (202), and Canada (49). The website users were distributed across all age categories. The \\\"biosecurity checklist\\\" and \\\"biosecurity protocol of entering the swine farm\\\" were the most downloaded infographics. The website engagement (total events and engagement duration) was significantly higher if users accessed the website on desktop computers compared to mobile phones and tablets, and was higher for users accessing the website through direct links, and search engines. In the US, local clusters of high website users were identified in leading swine production states, including Iowa, Minnesota, Illinois, Nebraska, Indiana, and Missouri.</div></div><div><h3>Conclusion</h3><div>The study findings support the utility of a web-based learning environment, which can provide swine biosecurity education and resources to a broad audience. The website traffic data obtained through Google Analytics helped examine the website users’ behavioral patterns, preferences, and engagement tendencies, which can be used to enhance the website in the future. The website tracking and analytical methods presented in this study can be applied to other educational websites.</div></div>\",\"PeriodicalId\":20413,\"journal\":{\"name\":\"Preventive veterinary medicine\",\"volume\":\"240 \",\"pages\":\"Article 106544\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Preventive veterinary medicine\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167587725001291\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Preventive veterinary medicine","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167587725001291","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
Evaluating a swine biosecurity website as an education and outreach tool and identifying best practices for end-user engagement: A learning analytics approach
Introduction
Implementing biosecurity measures on commercial and small-scale swine farms is an ongoing effort to prevent the introduction and spread of infectious diseases. Educating and training swine producers on effective on-farm biosecurity practices is imperative. This study aims to assess a swine biosecurity website as an outreach tool and identify best practices for end-user engagement by tracking and analyzing data on user demographics, engagement, and interaction.
Methods
User data for a swine biosecurity website were recorded between 5th July 2022 and 31st December 2023 using Google Analytics. A direct interaction between RStudio software and Google Analytics facilitated data export and analysis on user demographics and website traffic. A multivariable negative binomial regression model assessed associations between website event counts (outcome) and predictors representing the type of devices used to access the website and how the website was found. A multivariable linear regression model evaluated associations between the previously described predictor variables and the duration for which the users engaged with the website (outcome). The number of users and event counts in each state was illustrated in choropleth maps, and the Local Moran's I method was used to identify states with a high number of users and event counts to evaluate the website’s outreach across the United States of America (US) and worldwide.
Results
Google Analytics reported 768 users with an aggregated event count of 9643. Users were from 78 countries, of which the most users were from the US (708), the Philippines (202), and Canada (49). The website users were distributed across all age categories. The "biosecurity checklist" and "biosecurity protocol of entering the swine farm" were the most downloaded infographics. The website engagement (total events and engagement duration) was significantly higher if users accessed the website on desktop computers compared to mobile phones and tablets, and was higher for users accessing the website through direct links, and search engines. In the US, local clusters of high website users were identified in leading swine production states, including Iowa, Minnesota, Illinois, Nebraska, Indiana, and Missouri.
Conclusion
The study findings support the utility of a web-based learning environment, which can provide swine biosecurity education and resources to a broad audience. The website traffic data obtained through Google Analytics helped examine the website users’ behavioral patterns, preferences, and engagement tendencies, which can be used to enhance the website in the future. The website tracking and analytical methods presented in this study can be applied to other educational websites.
期刊介绍:
Preventive Veterinary Medicine is one of the leading international resources for scientific reports on animal health programs and preventive veterinary medicine. The journal follows the guidelines for standardizing and strengthening the reporting of biomedical research which are available from the CONSORT, MOOSE, PRISMA, REFLECT, STARD, and STROBE statements. The journal focuses on:
Epidemiology of health events relevant to domestic and wild animals;
Economic impacts of epidemic and endemic animal and zoonotic diseases;
Latest methods and approaches in veterinary epidemiology;
Disease and infection control or eradication measures;
The "One Health" concept and the relationships between veterinary medicine, human health, animal-production systems, and the environment;
Development of new techniques in surveillance systems and diagnosis;
Evaluation and control of diseases in animal populations.