18pgs, The novel coronavirus was first discovered in Wuhan, China in December 2019. This zoonotic disease quickly spread through over 100 countries, including the U.S. The World Health Organization (WHO) declared a global health emergency by the end of January 2020. Soon after, many U.S. states issued mandatory stay-at-home orders, which caused adverse effects for agricultural businesses and food supply chains. During this crisis, the Centers for Disease Control and Prevention (CDC) shared information through social media platforms such as Facebook. This study sought to understand how the CDC framed direct communication to the public about issues related to COVID-19 using Facebook videos. Five videos directly related to COVID-19 were selected from the CDC’s Facebook page for analysis. A content and framing analysis was used to determine emergent frames and the use of organization-public relationship (OPR) indicators to better understand how a public entity communicates with the public during a pandemic. Emergent frames were community, protecting yourself, encouragement to take action, understanding, and fear. A conversational tone of voice was used in four out of the five videos, and each video demonstrated the use of at least one OPR indicator. Implications from this work reinforce that Facebook videos can be used to communicate the importance of scientific information using conversational voice and OPR indicators. It is recommended that agricultural communicators include OPR indicators in social media videos during other similar zoonotic disease crises. Future research should seek to understand the public’s response to this type of scientific communication.
13 pages, Agricultural fairs provide one of the last frontiers, and largest stages, for showcasing livestock agriculture to the public. However, public funding, attendance revenue, animal biosecurity, and public health concerns are all aspects worthy of conversation and increased research attention given the interaction between livestock animals and the general public in fair and festival settings. A prominent social media listening and data analytics platform was used to quantify online and social media chatter concerning agricultural fairs during a 27-mo period. A general search for online media referencing agricultural fair keywords was designed; social and online media mentions of agricultural fairs (n = 2,091,350 mentions) were further queried according to their reference to livestock, fair food, or the major agricultural product producing species of dairy and beef cattle (n = 68,900), poultry (n = 39,600), and swine (n = 31,250). Numbers of search results were found to be seasonal and Twitter was the single largest domain for all fair-related results; in contrast, the majority of livestock-related media was generated by news sources rather than from Twitter. On a weekly basis, the percentage of fair livestock mentions with species-specific reference was highly variable ranging from 0% to 86.8% for cattle, 0% to 85.7% for poultry, and 0% to 76.9% for swine. In addition to quantifying total search hits or mentions, the positivity/negativity of the search results was analyzed using natural language processing capabilities. The net sentiment quantified is the total percentage of positive posts minus the percentage of negative posts, which results in a necessarily bounded net sentiment between −100% and +100%. Overall net sentiment associated with mentions of agricultural fairs was positive; the topics garnering the highest positive sentiments were fair food and cattle (both 98% positive). Online discussion pertaining to agricultural fairs and swine was overall positive despite references to swine flu outbreaks. In conclusion, livestock and animal products had positive net sentiment over the time period studied, but there are multiple aspects of agricultural fairs worthy of further investigation and continued vigilance, including zoonotic disease risk and public perceptions of livestock industries.
Journal homepage: www.elsevier.com/locate/actatropica, Via online journal, Zoonotic diseases cause significant health and economic impact in developing countries such as India. Many zoonotic diseases are prevalent in the livestock and as an occupational zoonosis in the livestock farmers in India. Lack of knowledge on the disease transmission, prevention and control measures is a potential high risk for the occurrence of zoonotic diseases in the livestock and its keepers in India. We conducted this study to understand knowledge, attitude and practices of livestock farmers regarding zoonoses. Five villages from each of the 22 districts of the state were conveniently selected (n = 110). Farmers available at village community sites were enrolled in the study and requested to complete a custom designed questionnaire (n = 558). In addition, livestock farmers attending basic livestock husbandry training were also surveyed (n = 301). Data from questionnaires was used to create three index variables: (a) knowledge score; (b) attitude score and (c) practice score. Association between demographic and other explanatory variables with knowledge score was evaluated using linear regression analyses. Similarly, the association between knowledge and attitude score with practice score was evaluated. Of the 859 participants, 685 (80%) livestock farmers had heard the term ‘zoonoses’ but only 345 (40%), 264 (31%) and 214 (25%) farmers were aware of the zoonotic nature of tuberculosis, Japanese encephalitis and taeniosis, respectively. For practices, 23% farmers reported consumption of raw milk and only 10% and 8% livestock farmers ever got their animals tested for brucellosis and tuberculosis, respectively. The low level of education and being a cattle farmer were negatively associated with the farmer’s knowledge on zoonotic diseases. The attitude score was positively associated with the practice score of the participants. The results indicate need for educating the livestock farmers particularly those with a low level of education to reduce the health and economic impact of zoonotic diseases in India.
15 pages., "Images with a negative valence trounced those with a positive tone in frequency and intensity, a finding that favors the more vocal opponents of genetic engineering."
