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International Journal of Paleopathology
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Paleoparasitology and pathoecology in Russia: Investigations and perspectives

Authors: Slepchenko, Sergey; Reinhard, Karl;

Paleoparasitology and pathoecology in Russia: Investigations and perspectives

Abstract

Russia, both as the USSR and the Russian federation, provided a source of parasitological theory for decades. A key figure in Russian parasitology was Yevgeny Pavlovsky. He developed the nidus concept of Pavlovsky provided the conceptual basis for the field of pathoecology. He also coined the term "Paleoparasitology". Pathoecology is a foundation concept in archaeological parasitology. Paleoparasitology, as defined by Pavlovsky, is an avenue for understanding of host parasite evolution over very long time periods. These contributions are not fully recognized internationally. Similarly, the long history of Russian paleontological and archaeological investigations are not fully known. Most recently, discoveries from archaeological sites show that a pattern of zoonotic infection prevailed among archaeological populations in central Russia. This included a case of apparent host switching of beef tapeworm infection to reindeer. This latter discovery raises the possibility that archaeological parasitology can contribute to the new Stockholm Paradigm of ecological fitting, host switching, and emergent disease. This review covers all of the parasitological discoveries from ancient Russia and illustrates how Russian models and discoveries defined parasitological theory in the past and present.

Country
United States
Keywords

Paleopathology, Ecology and Evolutionary Biology, 930, nidality, Host-Parasite Interactions, Russia, Environmental Public Health, archaeoparasitology, pathoecology, Animals, Humans, Immunology and Infectious Disease, Ecology, Other Public Health, Pavlovsky, Siberia, Archaeology, 900, Anthropology, Parasitology, paleoparasitology, Archaeological Anthropology

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
23
Top 10%
Top 10%
Top 10%
bronze