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Conference object . 2020
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
ZENODO
Article . 2020
License: CC BY
Data sources: Datacite
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Should animal be blamed for the pandemics? A context analysis

Authors: Fontana Filho, Maurício; Tonel, Rodrigo; Cenci, Daniel Rubens;

Should animal be blamed for the pandemics? A context analysis

Abstract

This investigation is on whether animals should be blamed for the worldwide pandemics. Its aim ison answering this inquisition with a denying initial hypothesis. Animals have been contaminatinghumans, but only as a corollary of human intervention upon their natural habitat. Animals thereforeare pushed to do so, mostly because of deforestation, urbanism and hunting. With their habitat filledwith people, wild animals tend to dive deeper into civilization. The method is the hypotheticaldeductive,through which it seeks to confirm or deny an initial hypothesis using bibliographicalresearch. An analysis of context is done for better addressing the initial question. Secondly, anexposition on demonization discourse towards the animals is fulfilled. The conclusion denies animalsas culprits for the pandemics, pointing out that humans, through their ways of life, have expandedand imposed their will upon nature, being the responsible ones.

Keywords

ambientalism, pandemic risks, pandemic preparedness, social psychology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green