Frontiers in Microbiology, Год журнала: 2025, Номер 16
Опубликована: Апрель 2, 2025
Microbial contamination of water sources is a pressing global challenge, disproportionately affecting developing regions with inadequate infrastructure and limited access to safe drinking water. In the Global South, waterborne pathogens such as bacteria, viruses, protozoa, helminths contribute diseases like cholera, dysentery, typhoid fever, resulting in severe public health burdens. Predictive modeling emerges pivotal tool addressing these challenges, offering data-driven insights anticipate events optimize mitigation strategies. This review highlights application predictive techniques-including machine learning, hydrological simulations, quantitative microbial risk assessment -to identify hotspots, forecast pathogen dynamics, inform resource allocation South. models enable targeted actions improve safety lower prevalence by combining environmental, socioeconomic, climatic factors. Water resources South are increasingly vulnerability contamination, challenge exacerbated rapid urbanization, climate variability, insufficient sanitation infrastructure. underscores importance region-specific approaches. Case studies from sub-Saharan Africa Asia demonstrated efficacy tools guiding connected environmental matrices, prioritizing treatment efforts implementing early-warning systems during extreme weather events. Furthermore, explores integrating advanced technologies, remote sensing artificial intelligence, into frameworks, highlighting their potential accuracy scalability resource-constrained settings. Increased funding for data collecting, tools, cross-sectoral cooperation between local communities, non-governmental organizations, governments all recommended review. Such critical resilient capable withstanding stressors ensuring sustainable By leveraging core component management strategies, stakeholders can address challenges effectively, safeguard health, achieving United Nations' Sustainable Development Goals.
Язык: Английский