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Advances in understanding bat infection dynamics across biological scales

Authors: Sánchez, Cecilia A.; Phelps, Kendra L.; Frank, Hannah K.; Geldenhuys, Marike; Griffiths, Megan E.; Jones, Devin N.; Kettenburg, Gwenddolen; +9 Authors

Advances in understanding bat infection dynamics across biological scales

Abstract

Over the past two decades, research on bat-associated microbes such as viruses, bacteria and fungi has dramatically increased. Here, we synthesize themes from a conference symposium focused on advances in the research of bats and their microbes, including physiological, immunological, ecological and epidemiological research that has improved our understanding of bat infection dynamics at multiple biological scales. We first present metrics for measuring individual bat responses to infection and challenges associated with using these metrics. We next discuss infection dynamics within bat populations of the same species, before introducing complexities that arise in multi-species communities of bats, humans and/or livestock. Finally, we outline critical gaps and opportunities for future interdisciplinary work on topics involving bats and their microbes.

Countries
United States, South Africa
Keywords

infection dynamics, SDG-03: Good health and well-being, 570, Livestock, Physiology, bats, bat, Stress, stress, Chiroptera, disease ecology, Disease ecology, Humans, Animals, Animalia, Chordata, Review Articles, Taxonomy, biomarkers, health, Biodiversity, infection, Health, Chiroptera, disease ecology, biomarkers, health, stress, physiology, Mammalia, epidemiology, Biomarkers

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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!
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OpenAIRE UsageCountsViews provided by UsageCounts
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23
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