Unmasking and tackling the underestimation of the cholera burden in Africa: A viewpoint DOI Creative Commons
Olushayo Oluseun Olu, Sylvester Maleghemi, Adebola Olayinka

et al.

PLoS neglected tropical diseases, Journal Year: 2025, Volume and Issue: 19(6), P. e0013128 - e0013128

Published: June 5, 2025

Cholera remains a significant public health challenge in Africa, with the continent recording highest Case Fatality Ratio of 1.9% among all regions from 2014 to 2023. Despite ongoing efforts, true burden cholera is substantially underestimated due poor quality and incomplete data. This article aims review factors contributing underestimation Africa explore potential solutions better characterize disease epidemiology on continent. We drew our field experiences existing literature identify key responsible for Africa. also propose strategies improve surveillance reporting. identified several underestimation, including weaknesses Integrated Disease Surveillance Response system, insecurity conflict situations, limited healthcare access, politicization outbreak comprehensive approach address these challenges, strengthening surveillance, adopting digital technologies data collection management, improving increasing awareness enhancing community engagement participation reporting, fostering political commitment transparent urge African ministries stakeholders increase their investment management

Language: Английский

Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach DOI Creative Commons
Mohammad Saddam Hosen, MD Shahidul Islam Fakir,

Shamal Chandra Hawlader

et al.

European Journal of Medical and Health Research, Journal Year: 2025, Volume and Issue: 3(2), P. 104 - 121

Published: March 20, 2025

Rural Bangladesh is confronted with substantial healthcare obstacles, such as inadequate infrastructure, information systems, and restricted access to medical personnel. These obstacles impede effective disease control pandemic preparedness. This investigation employs a structured methodology develop analyze numerous plausible scenarios systematically. A purposive sampling strategy was implemented, which involved the administration of questionnaire survey 264 rural residents in Rangamati district completion distinct by 103 The impact effectiveness study are assessed through logistic regression analysis pre-post comparison that Wilcoxon Signed-Rank test Kendall's coefficient for non-parametric paired categorical variables. evaluates evolution preparedness prior subsequent implementation Generative AI-Based Model 4.0. results indicate trust AI (β = 1.20, p 0.020) confidence sharing health data 9.049, most significant predictors adoption. At same time, infrastructure limitations digital constraints continue be constraints. concludes resilience marginalized populations can improved AI-driven, localized strategies. integration into systems offers transformative opportunity, but it contingent upon active community engagement, enhanced literacy, strong government involvement.

Language: Английский

Citations

0
Generative AI in Medicine — Evaluating Progress and Challenges DOI
Thomas M. Maddox, Peter J. Embí, James Gerhart

et al.

New England Journal of Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 10, 2025

Language: Английский

Citations

0
A State-of-the-Art Review of Artificial Intelligence (AI) Applications in Healthcare: Advances in Diabetes, Cancer, Epidemiology, and Mortality Prediction DOI Creative Commons
Mariano Vargas-Santiago, Diana A. León-Velasco, Christian E. Maldonado-Sifuentes

et al.

Computers, Journal Year: 2025, Volume and Issue: 14(4), P. 143 - 143

Published: April 10, 2025

Artificial Intelligence (AI) methodologies have profoundly influenced healthcare research, particularly in chronic disease management and public health. This paper provides a comprehensive state-of-the-art review of AI’s applications across diabetes, cancer, epidemiology, mortality prediction. The analysis highlights advancements machine learning (ML), deep (DL), natural language processing (NLP) that enable robust predictive models decision support systems, leading to significant clinical health outcomes. study examines modeling, pattern recognition, applications, addressing their respective challenges potential real-world settings. Emphasis is placed on the emerging role explainable AI (XAI), multimodal data fusion, privacy-preserving techniques such as federated learning, which aim enhance interpretability, robustness, ethical compliance. underscores vital interdisciplinary collaboration adaptive systems creating resilient, scalable, patient-centric solutions.

Language: Английский

Citations

0
Integrating artificial intelligence into public health education and healthcare: insights from the COVID-19 and monkeypox crises for future pandemic readiness DOI Creative Commons

Mustapha Abdelouahed,

Dana Yateem,

Chadi Amzil

et al.

Frontiers in Education, Journal Year: 2025, Volume and Issue: 10

Published: April 17, 2025

Higher education institutions are accustomed to sudden and abrupt jolts that provoke poor enrollments, unviable courses, unsustainable practices, budget cuts, job losses. Such a situation arose with the worldwide crisis of COVID-19 global mandate shift online teaching learning. Policies guidelines were based on available solutions, often implemented by leaders limited experience in education. As result, focus was transitioning rather than creating pragmatic policy changes. This article explores practices higher during pandemic investigates how affected learning across different countries. It also offers insights into adaptations made after pandemic, particularly within public health education, workforce training, healthcare, along actionable suggestions for integrating artificial intelligence (AI) lessons learned from these sectors. To highlight potential benefits AI we discuss AI-driven epidemiological modeling could play crucial role future outbreak preparedness, using ongoing monkeypox virus (Mpox) outbreaks as case study. Mpox continues emerge threat, remote has demonstrated importance preparing educational system uncertainties, including new outbreaks. The shown disruptions can catalyze reforms healthcare systems. Looking ahead, holds significant transforming epidemic preparedness predicting outbreaks, understanding their trajectories, even forecasting individual impact diseases analyzing immune responses. Integrating response frameworks save lives strengthen readiness crises.

Language: Английский

Citations

0
Positioned spread models: A mathematical analysis of the topological and random population systems DOI
Jung-Chao Ban, Jyy-I Hong, Cheng-Yu Tsai

et al.

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(4)

Published: April 1, 2025

Considering limited environmental resources, this article develops topological and random population systems, as well positioned spread models that emphasize spatial distribution growth. It incorporates key factors such the birth rate migration to analyze population’s dynamics using tools from dynamical systems probability theory. In addition, numerical examples simulation results are provided validate theory for both models.

Language: Английский

Citations

0
Mask wearing induces multiple transitions of respiratory infectious disease spreading in metropolitan populations DOI
Wenjie Li,

Ren-Yu You,

Jiayuan Cao

et al.

Chaos Solitons & Fractals, Journal Year: 2025, Volume and Issue: 198, P. 116541 - 116541

Published: May 15, 2025

Language: Английский

Citations

0
GRAPEVNE - Graphical Analytical Pipeline Development Environment for Infectious Diseases DOI Creative Commons
John‐Stuart Brittain, Joseph L.-H. Tsui, Rhys Inward

et al.

Wellcome Open Research, Journal Year: 2025, Volume and Issue: 10, P. 279 - 279

Published: May 27, 2025

The increase in volume and diversity of relevant data on infectious diseases their drivers provides opportunities to generate new scientific insights that can support ‘real-time’ decision-making public health across outbreak contexts enhance pandemic preparedness. However, utilising the wide array clinical, genomic, epidemiological, spatial collected globally is difficult due differences preprocessing, science capacity, access hardware cloud resources. To facilitate large-scale routine analyses disease at local level (i.e. without sharing borders), we developed GRAPEVNE (Graphical Analytical Pipeline Development Environment), a platform enabling construction modular pipelines designed for complex repetitive analysis workflows through an intuitive graphical interface. Built Snakemake workflow management system, streamlines creation, execution, analytical pipelines. Its approach already supports diverse range applications, including genomic analysis, epidemiological modeling, processing. Each module self-contained Snakemake workflow, complete with configurations, scripts, metadata, interoperability. The platform’s open-source nature ensures ongoing community-driven development scalability. empowers researchers institutions by simplifying workflows, fostering data-driven discovery, enhancing reproducibility computational research. user-driven ecosystem encourages continuous innovation biomedical research but applicable beyond that. Key use-cases include automated phylogenetic viral sequences, real-time monitoring, forecasting, For instance, our dengue virus pipeline demonstrates end-to-end automation from sequence retrieval phylogeographic inference, leveraging established bioinformatics tools which be deployed any geographical context. more details, see documentation at: https://grapevne.readthedocs.io

Language: Английский

Citations

0
Recent Advances in the Assessment Methods and Indicators for the Severity of Severe Pneumonia DOI Open Access
Fei Li, Jun Li, Wei Xiao

et al.

Journal of Biosciences and Medicines, Journal Year: 2025, Volume and Issue: 13(05), P. 317 - 330

Published: Jan. 1, 2025

Language: Английский

Citations

0
Unmasking and tackling the underestimation of the cholera burden in Africa: A viewpoint DOI Creative Commons
Olushayo Oluseun Olu, Sylvester Maleghemi, Adebola Olayinka

et al.

PLoS neglected tropical diseases, Journal Year: 2025, Volume and Issue: 19(6), P. e0013128 - e0013128

Published: June 5, 2025

Cholera remains a significant public health challenge in Africa, with the continent recording highest Case Fatality Ratio of 1.9% among all regions from 2014 to 2023. Despite ongoing efforts, true burden cholera is substantially underestimated due poor quality and incomplete data. This article aims review factors contributing underestimation Africa explore potential solutions better characterize disease epidemiology on continent. We drew our field experiences existing literature identify key responsible for Africa. also propose strategies improve surveillance reporting. identified several underestimation, including weaknesses Integrated Disease Surveillance Response system, insecurity conflict situations, limited healthcare access, politicization outbreak comprehensive approach address these challenges, strengthening surveillance, adopting digital technologies data collection management, improving increasing awareness enhancing community engagement participation reporting, fostering political commitment transparent urge African ministries stakeholders increase their investment management

Language: Английский

Citations

0