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Other literature type . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ResearchGate Data
Preprint . 2026
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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A Preventive Inverse-Entity–Guided Framework for Addressing Nipah Virus Susceptibility A Conceptual, Translational, and IP-Protected Preprint

Authors: Ray, Sumeru;

A Preventive Inverse-Entity–Guided Framework for Addressing Nipah Virus Susceptibility A Conceptual, Translational, and IP-Protected Preprint

Abstract

Nipah virus (NiV) represents one of the most lethal zoonotic pathogens known to date, with recurrent outbreaks characterized by high case fatality rates, neurological involvement, and cross-species transmission affecting both humans and animals. Existing control strategies rely predominantly on reactive outbreak containment, exposure avoidance, and pathogen-centric biomedical responses, which have demonstrated limited scalability and preparedness value in high-risk regions. This preprint proposes a preventive, inverse-entity–guided conceptual framework that reframes Nipah virus risk not solely as a problem of viral exposure, but as a function of host susceptibility, systemic dysregulation, and outcome amplification. Without disclosing formulation, preparation, or application protocols, the paper outlines a directional pathway toward reducing severe disease probability through non-biological, non-exposure-based host conditioning strategies. The work is presented as a preprint for translational discussion, institutional collaboration, and protected intellectual property engagement, rather than as a therapeutic claim or clinical protocol. All actionable technical details remain undisclosed and subject to formal non-disclosure agreements.

Keywords

Nipah Virus

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    popularity
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    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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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