Infectious diseases have detrimental impacts across wildlife taxa. Despite this, we often lack information on the complex spatial and contact structures of host populations, reducing our ability to understand disease spread and our preparedness for epidemic response. This is also prevalent in the marine environment, where rapid habitat changes due to anthropogenic disturbances and human-induced climate change are heightening the vulnerability of marine species to disease. Recognizing these risks, we leveraged a collated dataset to establish a data-driven epidemiological metapopulation model for Tamanend’s bottlenose dolphins (Tursiops erebennus), whose populations are periodically impacted by deadly respiratory disease. We found their spatial distribution and contact is heterogeneous throughout their habitat and by ecotype, which explains differences in past infection burdens. With our metapopulation approach, we demonstrate spatial hotspots for epidemic risk during migratory seasons and that populations in some central estuaries would be the most effective sentinels for disease surveillance. These mathematical models provide a generalizable, non-invasive tool that takes advantage of routinely collected wildlife data to mechanistically understand disease transmission and inform disease surveillance tactics. Our findings highlight the heterogeneities that play a crucial role in shaping the impacts of infectious diseases, and how a data-driven understanding of these mechanisms enhances epidemic preparedness.
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In search of earliest records of Plague endemic: Past research and new endeavors
Yersinia pestis, the bacterium responsible for at least three pandemics in the past, is still a threat to modern populations. The bacterium has potential to evolve rapidly and persists in natural animal reservoirs around the globe. Epidemic diseases such as plague can dramatically alter and shape human demography, biology, and socio-cultural practices. Through the synthesis of biomolecular analyses with bioarchaeological data, researchers have begun to uncover the effects of past epidemics on modern populations and are also searching for the origins of the Y. pestis bacterium. Understanding the origins, behaviors, and consequences of diseases with epidemic potential in the past can contribute to ongoing discourse in public health, social policy, economy, and biology, as well as inspire positive changes in living populations. We review here recent literature on Y. pestis ecology and evidence of the bacteria’s evolution in prehistory before discussing ongoing research at the Hamin Neolithic settlement site that is suspected to have collapsed from an epidemic disease.
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- Award ID(s):
- 2040388
- PAR ID:
- 10438581
- Date Published:
- Journal Name:
- Asian journal of paleopathology
- Volume:
- 5
- ISSN:
- 2434-5075
- Page Range / eLocation ID:
- 21-29
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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