Literature DB >> 33382232

Preventing zoonotic influenza H5N1 in human: Pictorial versus literal health communication methods.

Olubunmi Gabriel Fasanmi1, Olumide John Okuneye2, Syed Sayeem Uddin Ahmed, Aminu Shittu3, Folorunso Oludayo Fasina4.   

Abstract

Outbreaks of avian influenza H5N1 in poultry occurred in Africa's poultry and 16 countries have reported human infections globally. Intensified human-animal interactions necessitate correct communication of health messages to reduce zoonotic infection. This work was done to determine differences between pictorial and literal health education communication. Cross-sectional survey using literal and pictorial questionnaires in LBMs and poultry farms was carried out among respondents based on matching criteria. Responses were scored and analysed with probability of independence using Chi square test and pairwise correlation. The degree of knowledge of clinical signs in birds, species affected, communication means and biosecurity were good, that of the post-mortem signs was poor with increasing potentials of human exposure to virus-rich visceral tissues from slaughtered sick birds. Marked differences exist for the various items listed within each knowledge field, the odds of having correct responses from pictorial were better than with literal respondents. Risky practices were still practised in the LBMs despite the good degree of knowledge of hygiene and biosecurity. Knowledge and implementation does not always correlate and pictorial representation out surpasses literal method in communicating potential zoonotic H5N1 influenza A infection to the undiscerning public.

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Year:  2020        PMID: 33382232     DOI: 10.12834/VetIt.1156.6369.2

Source DB:  PubMed          Journal:  Vet Ital        ISSN: 0505-401X            Impact factor:   1.101


  1 in total

1.  Investigating public support for biosecurity measures to mitigate pathogen transmission through the herpetological trade.

Authors:  Elizabeth F Pienaar; Diane J Episcopio-Sturgeon; Zachary T Steele
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  1 in total

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