Infectious Disease

Public Health

Latest AI and machine learning research in public health for healthcare professionals.

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Showing 1975-1995 of 5,424 articles
Pandemic-Potential Viruses are a Blind Spot for Frontier Open-Source LLMs

We study large language models (LLMs) for front-line, pre-diagnostic infectious-disease triage, a cr...

An exploration of current and future vector-borne disease threats and opportunities for change.

Vector-borne diseases, including dengue, threaten the health and livelihoods of over 80% of the worl...

Jan 2025 40443936
Advancing Early Warning Systems for Malaria: Progress, challenges, and future directions - A scoping review.

Malaria Early Warning Systems (EWS) are predictive tools that often use climatic and other environme...

Jan 2025 40367150
Artificial intelligence in vaccine research and development: an umbrella review.

BACKGROUND: The rapid development of COVID-19 vaccines highlighted the transformative potential of a...

Jan 2025 40406131
IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.

COVID-19 has not only changed the way people live but has also altered the way all organizations ope...

Jan 2025 40438060
Cholera Outbreak in Nigeria: History, Review of Socioeconomic and Meteorological Drivers, Diagnostic Challenges, and Artificial Intelligence Integration.

Cholera continues to pose a significant public health challenge in Nigeria, driven by socioeconomic ...

Jan 2025 40469257
Anomaly recognition in surveillance based on feature optimizer using deep learning.

Surveillance systems are integral to ensuring public safety by detecting unusual incidents, yet exis...

Jan 2025 40388481
EACVP: An ESM-2 LM Framework Combined CNN and CBAM Attention to Predict Anti-coronavirus Peptides.

BACKGROUND: The novel coronavirus pneumonia (COVID-19) outbreak in late 2019 killed millions worldwi...

Jan 2025 38494930
Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...

Jan 2025 40036109
What drives the effectiveness of social distancing in combating COVID-19 across U.S. states?

We propose a new theory of information-based voluntary social distancing in which people's responses...

Jan 2025 40354357
A conceptual and computational framework for modeling the complex, adaptive dynamics of epidemics: The case of the SARS-CoV-2 pandemic in Mexico.

In the quest to ensure adequate preparedness for health emergencies caused by infectious disease pan...

Jan 2025 40341262
Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines

The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extr...

Iterative structural coarse-graining for contagion dynamics in complex networks

Contagion dynamics in complex networks drive critical phenomena such as epidemic spread and inform...

Post-pandemic social contacts in Italy: implications for social distancing measures on in-person school and work attendance

The collection of updated data on social contact patterns following the COVID-19 pandemic disrupti...

Surveillance Capitalism Revealed: Tracing The Hidden World Of Web Data Collection

This study investigates the mechanisms of Surveillance Capitalism, focusing on personal data trans...

Quantifying Public Response to COVID-19 Events: Introducing the Community Sentiment and Engagement Index

This study introduces the Community Sentiment and Engagement Index (CSEI), developed to capture nu...

Neuromorphic Spiking Neural Network Based Classification of COVID-19 Spike Sequences

The availability of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) virus data post-C...

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