Applications of Artificial Intelligence for Heat Stress Management in Ruminant Livestock DOI Creative Commons
Ebenezer Binuni Rebez, Veerasamy Sejian, M. V. Silpa

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(18), P. 5890 - 5890

Published: Sept. 11, 2024

Heat stress impacts ruminant livestock production on varied levels in this alarming climate breakdown scenario. The drastic effects of the global change-associated heat demands constructive evaluation animal performance bordering effective monitoring systems. In climate-smart digital age, adoption advanced and developing Artificial Intelligence (AI) technologies is gaining traction for efficient management. AI has widely penetrated sensitive sector due to its promising plausible scope assessing risks resilience livestock. Significant improvement been achieved alongside novel algorithms evaluate These AI-powered tools have robustness competence expand help minimising losses associated with Advanced management through automated based behaviour, physiology health responses accepted evolution like machine learning (ML), neural networks deep (DL). AI-enabled involving data collection, pre-processing, wrangling, development appropriate algorithms, deployment models assist producers decision-making real-time act as early-stage warning systems forecast disease dynamics prediction models. Due convincing performance, precision, accuracy models, imbibes scaled use successful reducing livestock, thereby ensuring sustainable safeguarding economy.

Language: Английский

First microscopic and molecular identification of Cryptosporidium spp. in fat sand rats (Psammomys obesus) in Egypt and their potential zoonotic implications DOI Creative Commons

Sara Abdel‐Aal Mohamed,

Fatma A. S. Anwar,

Ahmed Gareh

et al.

Frontiers in Veterinary Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 23, 2025

Introduction Rodents, thriving in human-altered environments, pose significant public health risks due to their role as reservoirs for numerous zoonotic parasites. Among these, Cryptosporidium spp. are recognized globally leading causes of waterborne and foodborne diarrheal illnesses humans. The specific fat sand rats ( Psammomys obesus ) the transmission Egypt genotypic characteristics circulating species these animals remain poorly understood. Methods In this study, a total 150 individual rat stool samples were collected from saline marsh periurban areas Abu-Rawash, Giza, Egypt. initially screened presence using light scanning electron microscopy characterize parasite’s oocysts. Furthermore, molecular identification characterization parasite carried out on selected microscopy-positive n = 30) conventional polymerase chain reaction (PCR) targeting oocyst wall protein (COWP) gene. A subset positive by PCR was subjected sequencing, with resulting sequences deposited GenBank™ analyzed through phylogenetic methods. Results Conventional revealed that 46.7% (70/150; 95% CI: 38.7–54.6) contained structures consistent Moreover, analysis confirmed DNA all 30 previously identified heavily infected microscopy. Notably, parvum C. sequenced samples, likely originating rats’ native habitats. These have been under accession numbers OM817461 FSA-1), OM817462 FSA-2), OM817463 FSA-3) closed genetic identity those reported human other animal same geographic location. Conclusion Overall, study represents first morphological isolated fecal trapped findings provide valuable insights into potential implications rodents disease at national level, offering crucial information awareness campaigns informing local authorities.

Language: Английский

Citations

0
Tackling Infectious Diseases in the Caribbean and South America: Epidemiological Insights, Antibiotic Resistance, Associated Infectious Diseases in Immunological Disorders, Global Infection Response, and Experimental Anti-Idiotypic Vaccine Candidates Against Microorganisms of Public Health Importance DOI Creative Commons
Angel A Justiz-Vaillant,

Sachin Soodeen,

Darren Gopaul

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(2), P. 282 - 282

Published: Jan. 27, 2025

This paper explores various aspects of microbiology and immunology, with a particular focus on the epidemiology molecular characterisation infectious diseases in Caribbean South America. Key areas investigation include tuberculosis (TB), experimental vaccines, bloodborne pathogens. A retrospective study conducted Jamaica highlights significance early HIV screening, timely diagnosis, inte-grated care. The also examines challenges posed by nosocomial infections, particularly those caused antibiotic-resistant Gram-negative bacteria methicillin-resistant Staphylococcus aureus (MRSA), emphasising critical importance infection control measures. Additionally, it regional microbiome, global response to diseases, immune responses patients immunodeficiency disorders such as severe combined (SCID) chronic granulomatous disease (CGD), underscoring their heightened susceptibility wide range infections.

Language: Английский

Citations

0
Evaluation of the epidemic intelligence from open sources (EIOS) system for the early detection of outbreaks and health emergencies in the African region DOI Creative Commons
George Sie Williams,

Etien Luc Koua,

Philip Abdelmalik

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 4, 2025

Public health today is challenged by a wide array of hazards that threaten humans, often resulting in high rates morbidity and mortality when they strike. These events should be detected responded to as early possible save lives minimize their impact. The Epidemic Intelligence from Open Sources (EIOS) system leverages natural language processing machine learning techniques for the detection public open-source information using an all-hazards approach. In this study, we quantitatively evaluate performance EIOS outbreaks emergencies African region. We retrospectively searched determine if signal was found on each event notified WHO 47 countries region 2018 2023. computed proportion system, its sensitivity, harmonic mean, timeliness. assessed association between selected predictors (year report, hazard type, subregion, source source) multivariable logistic regression model. 81.0% sensitivity 47.4%, with mean 59.8%. steadily increased over years baseline 44.1% 47.3% Signals more than 80.0% 28 were system. 22 countries, signals at least 50% early, is, before official notification National Authorities WHO. median time zero days. type (infectious zoonotic), subregion (West Central Africa), (medical social media) associated detection. conclude performed well detecting early. However, some improvements are needed. recommend increasing media local community radio sources

Language: Английский

Citations

0
Holistic Approaches to Zoonoses: Integrating Public Health, Policy, and One Health in a Dynamic Global Context DOI Creative Commons
Mohamed Mustaf Ahmed, Olalekan John Okesanya, Zhinya Kawa Othman

et al.

Zoonotic Diseases, Journal Year: 2025, Volume and Issue: 5(1), P. 5 - 5

Published: March 6, 2025

Zoonotic diseases pose a significant global health threat, driven by factors such as globalization, climate change, urbanization, antimicrobial resistance (AMR), and intensified human–animal interactions. The increasing interconnectedness of human, animal, environmental underscores the importance OH paradigm in addressing zoonotic threats globalized world. This review explores complex epidemiology diseases, challenges associated with their management, necessity for cross-sector collaboration to enhance prevention control efforts. Key public strategies, including surveillance systems, infection measures, community education programs, play crucial roles mitigating outbreaks. However, gaps governance, resource allocation, interdisciplinary cooperation hinder effective disease particularly low- middle-income countries (LMICs). To illustrate effectiveness approach, this highlights successful PREDICT project, Rwanda’s National One Health Program, EcoHealth Alliance, Rabies Elimination Program Philippines. These initiatives demonstrate how integrating efforts can early detection, improve outbreak responses, reduce burdens. Strengthening enhancing infrastructure, regulating use, investing research technological innovations are essential steps toward risks. Ultimately, coordinated, multidisciplinary approach is vital dynamic posed ensuring security an increasingly interconnected

Language: Английский

Citations

0
A machine learning model for automated contact tracing during disease outbreaks DOI Creative Commons
Zeyad Aklah, Amean Al-Safi,

Muhammand Intizar Ali

et al.

Healthcare Analytics, Journal Year: 2025, Volume and Issue: unknown, P. 100389 - 100389

Published: March 1, 2025

Language: Английский

Citations

0
Revolutionizing Food Safety in the Airline Industry: AI-Powered Smart Solutions DOI

Nida Kanwal,

Min Zhang,

Mustafa Zeb

et al.

Trends in Food Science & Technology, Journal Year: 2025, Volume and Issue: unknown, P. 104970 - 104970

Published: March 1, 2025

Language: Английский

Citations

0
Announcing the Lancet Global Health Commission on artificial intelligence (AI) and HIV: leveraging AI for equitable and sustainable impact DOI
Michael Reid,

Bridget Ivy Agutu Otieno,

Alastair van Heerden

et al.

The Lancet Global Health, Journal Year: 2025, Volume and Issue: 13(4), P. e611 - e612

Published: March 27, 2025

Language: Английский

Citations

0
Perspective Chapter: Molecular Diagnostics in Viral Outbreak Surveillance DOI
Jennifer Giandhari, Amsha Viraragavan, Michelle Gordon

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: April 16, 2025

Understanding and adopting various methods for monitoring viral outbreaks is required pathogen surveillance. Accurate diagnosis can play a significant role in the safe effective treatment prescribed. Africa remains burdened with host of infectious diseases, which challenges healthcare systems proper management diseases. Surveillance are implemented some parts that have infrastructure funding to perform routine testing screening. However, not all this continent equipped necessary tools support. With travel, tourism goods exchange, diseases spread across borders rapidly, posing threat global health, emphasising unified need efforts prevent, detect, act on disease through improved access vaccinations treatments. Effective response depends several elements, including laboratory capacity, skilled health staff, surveillance detect limit illnesses rapidly. Traditional molecular such as genotyping polymerase chain reaction (PCR)-based detection now being complemented like next-generation sequencing clustered regularly interspaced short palindromic repeats (CRISPR). This book chapter aims summarise current broadly describes issue climate change its impact outbreaks.

Language: Английский

Citations

0
AI-Driven Predictive Analytics for Syndromic Surveillance: Enhancing Early Detection of Emerging Infectious Diseases in the United States DOI

Chinedu Osita Agbakwuru

Published: April 25, 2025

Emerging infectious diseases are a major concern to public health in the United States, requiring advanced surveillance technologies for early diagnosis and response. The incorporation of artificial intelligence (AI)-driven predictive analytics into syndromic represents game-changing technique that uses big data, machine learning, real-time indicators improve disease outbreak detection. purpose this review is explore AI-driven surveillance, emphasizing its ability increase detection emerging States. findings indicate increases speed, accuracy, scalability surveillance. AI-powered methods, such as deep learning natural language processing, may identify anomalies symptom patterns, monitor progression, predict epidemics more accurately. However, with proper safety measures place, AI has potential transform increasing likely national preparedness threats.

Language: Английский

Citations

0
Internet of Things and Bigdata Analytics in Preventive Healthcare: A Synthetic Review DOI Open Access

Urška Šajnovič,

Helena Blažun Vošner, Jernej Završnik

et al.

Published: Aug. 7, 2024

Background: IoT and Big Data are newer technologies that can provide substantial support for healthcare systems help overcome their shortcomings. The aim of this paper was to analyze literature production descriptively, thematically, chronologically from an interdisciplinary perspective in a holistic way identify the most prolific research entities themes. Methods: synthetic knowledge synthesis qualitatively quantitatively analyzes through combination descriptive bibliometrics, bibliometric mapping content analysis. For analysis Scopus database used. Results: In database, 2272 publications were found, which published between 1985 June 10, 2024. first article field 1985. Until 2012 steady increasing, after exponential growth began, reached its peak 2023. productive countries USA, India, China, United Kingdom, South Korea, Germany Italy. resulted 8 themes (four computer science four medicine) 21 thematic concepts (eight 13 medicine). Conclusions: results show have become key preventive health. study outcomes might represent starting point further development combines multidisciplinary aspects healthcare.

Language: Английский

Citations

3