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Supervised learning approaches for predicting Ebola-Human Protein-Protein interactions.

Gene

January 2025

Department of Computer and Information Science (IDA), REAL, AIICS, Linköping University, Sweden; Department of Computer Science & Engineering, Techno International New Town, Kolkata, India. Electronic address:

The goal of this research work is to predict protein-protein interactions (PPIs) between the Ebola virus and the host who is at risk of infection. Since there are very limited databases available on the Ebola virus; we have prepared a comprehensive database of all the PPIs between the Ebola virus and human proteins (EbolaInt). Our work focuses on the finding of some new protein-protein interactions between humans and the Ebola virus using some state- of-the-arts machine learning techniques.

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This study develops an Artificial Neural Network (ANN)-based framework to model the transmission dynamics and long-term disability outcomes of Ebola Virus Disease (EVD). Building on existing deterministic SEIR models, we extend the framework by introducing a disability compartment, capturing the progression of Ebola survivors to chronic health complications, such as post-Ebola syndrome. The proposed model stratifies the population into various epidemiological states, incorporating delays to better reflect the natural progression and intervention strategies associated with EVD.

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What Is Already Known About This Topic?: Public health laboratories (PHLs) are critical for effectively identifying, detecting, preventing, and responding to emerging and reemerging infectious diseases. Following the 2014 Ebola outbreak, Sierra Leone implemented a national laboratory strategic plan (2015-2020) aimed at creating, strengthening, and maintaining laboratory capacities for detecting, assessing, notifying, and reporting incidents, with a requirement to review PHL capabilities every five years.

What Is Added By This Report?: This study assessed the comprehensive capacity and personnel status of PHLs in Sierra Leone using a standardized assessment tool following the implementation of the 2015 National Laboratory Strategic Plan.

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Background: Ugandan health authorities declared an outbreak of Ebola disease (EBOD), caused by the Sudan virus, in September 2022. A rapid review was conducted to update the Public Health Agency of Canada's guidelines for infection prevention and control measures for EBOD in healthcare settings to prepare for potential introduction of cases.

Objective: Summarize the available evidence on personal protective equipment (PPE) use by healthcare workers (HCWs) to prevent exposure to and transmission of viral hemorrhagic fevers (VHFs), including Ebola virus.

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The Maturation of the International Health Crisis Response: The Polish Typhus Epidemic of 1916-1923 Compared to the African Ebola Virus Disease Epidemic of 2013-2016: Part I, the Polish Epidemic.

Epidemiologia (Basel)

December 2024

Division of Infectious Diseases, Medical Service, South Texas Veterans Healthcare System, 7400 Merton Minter Blvd, San Antonio, TX 78229, USA.

Poland suffered an epidemic of louse-borne typhus from 1916-1923, with 400,000 cases and more than 130,000 deaths. The causative factors were depressed economic conditions and a refugee crisis that engulfed Poland after World War I. The recognition of the epidemic in 1919 stimulated the creation of the League of Red Cross Societies (LRCS).

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