Advances in Infectious Diseases, Год журнала: 2024, Номер 14(04), С. 645 - 658
Опубликована: Янв. 1, 2024
Язык: Английский
Advances in Infectious Diseases, Год журнала: 2024, Номер 14(04), С. 645 - 658
Опубликована: Янв. 1, 2024
Язык: Английский
Chemosphere, Год журнала: 2025, Номер 374, С. 144153 - 144153
Опубликована: Фев. 12, 2025
Язык: Английский
Процитировано
1Environmental Pollution, Год журнала: 2024, Номер 362, С. 125018 - 125018
Опубликована: Сен. 23, 2024
Язык: Английский
Процитировано
4Journal of Geoscience and Environment Protection, Год журнала: 2025, Номер 13(01), С. 444 - 456
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0BMJ Global Health, Год журнала: 2025, Номер 10(5), С. e017595 - e017595
Опубликована: Май 1, 2025
Introduction The Global Approach to Biology Research, Infectious diseases and Epidemics in Low-income countries (GABRIEL) network is an international scientific of 21 centres coordinated by the Merieux Foundation (Lyon, France). Mapping characterising similarities differences expertise activities across four major infectious (tuberculosis, antimicrobial-resistant infections, acute respiratory infections emerging pathogens) among these would help provide a better understanding network’s capacity. It will also highlight how applied methodology can enhance information sharing within research networks. Methods Each centre responded questionnaire on their core themes. An advanced multivariate analysis was performed relate all items together new synergies members GABRIEL network. Similarities were found using clustering algorithm data visualised alluvial plots. Results This strategy enabled find patterns for implementation projects global health, regardless geographical proximity or historical connections. Five clusters based activities, consisting 6, 1, 3, 9 2 units, respectively, have been identified, with 1 4, including majority units. Four defined diseases, comprising 7, 5 6 respectively. Conclusions same could be identify proximities other networks experts between different more efficient surveillance programmes.
Язык: Английский
Процитировано
0Microorganisms, Год журнала: 2025, Номер 13(5), С. 1169 - 1169
Опубликована: Май 21, 2025
Wastewater-based epidemiology (WBE) has emerged as a transformative approach for community-level health monitoring, particularly during the COVID-19 pandemic. This review critically examines methodological framework of WBE systems through following three core components: (1) sampling strategies that address spatial–temporal variability in wastewater systems, (2) comparative performance different platforms pathogen detection, and (3) predictive modeling integrating machine learning approaches. We systematically analyze how these components collectively overcome limitations conventional surveillance methods early outbreak asymptomatic case identification, population-level trend monitoring. While highlighting technical breakthroughs viral concentration variant tracking sequencing, also identifies persistent challenges, including data standardization, cost-effectiveness concerns resource-limited settings, ethical considerations public surveillance. Drawing insights from global implementation cases, we propose recommendations optimizing each operational phase discuss emerging applications beyond pandemic response. highlights an indispensable tool modern health, whose refinements cross-disciplinary integration are critical transforming reactive containment to proactive population management.
Язык: Английский
Процитировано
0Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 117244 - 117244
Опубликована: Май 1, 2025
Язык: Английский
Процитировано
0Advances in Infectious Diseases, Год журнала: 2024, Номер 14(04), С. 645 - 658
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
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