Drinking Water

This study supports SDGs 3 and 6 by analysing data from 88 low-income and middle-income countries and showing geographical disparities in access to clean water and sanitation facilities. These findings identify where efforts to increase access to safe water and sanitation have been successful over time, and highlight the need for targeted and tailored interventions to reach those communities and regions that have been left behind.
This study supports SDGs 3 and 6 by identifying passive chlorination at the point of collection as an effective and scalable strategy for reducing diarrhoea in children and improving access to safe and affordable drinking water in a low-income urban setting.
Water–Sanitation–Hygiene (WASH) remains vital for the 2030 Agenda for Sustainable Development, yet many countries have not localised the 17 Sustainable Development Goals (SDGs), including SDG 6, which focuses on ensuring the availability and sustainable management of water and sanitation for all. Even in leading African economies such as South Africa, many communities still use the bucket system for sanitation.
This study supports SDGs 3 and 6 by showing that elementary WASH interventions alone were insufficient in reducing the prevalence of stunting, anaemia, and diarrhoea in children in rural Zimbabwe; these findings call for greater investment into, and scale-up of, WASH programmes in rural settings, in order to achieve more meaningful improvements in child health outcomes.
As emerging contaminants, antibiotic resistance genes (ARGs) have become a public concern. This study aimed to investigate the occurrence and diversity of ARGs, and variation in the composition of bacterial communities in source water, drinking water treatment plants, and tap water in the Pearl River Delta region, South China. Various ARGs were present in the different types of water. Among the 27 target ARGs, floR and sul1 dominated in source water from three large rivers in the region.
An early warning scheme is proposed that runs ensembles of inferential models for predicting the cyanobacterial population dynamics and cyanotoxin concentrations in drinking water reservoirs on a diel basis driven by in situ sonde water quality data. When the 10- to 30-day-ahead predicted concentrations of cyanobacteria cells or cyanotoxins exceed pre-defined limit values, an early warning automatically activates an action plan considering in-lake control, e.g. intermittent mixing and ad hoc water treatment in water works, respectively.
Elsevier, Social Science and Medicine, Volume 119, October 01, 2014
Globally, an estimated 748million people remain without access to improved sources of drinking water and close to 1 billion people practice open defecation (WHO/UNICEF, 2014). The lack of access to safe water and adequate sanitation presents significant health and development challenges to individuals and communities, especially in low and middle income countries. Recent research indicates that aside from financial challenges, the lack of social capital is a barrier to collective action for community based water and sanitation initiatives (Levison etal., 2011; Bisung and Elliott, 2014).
Background: A third of the 2·5 billion people worldwide without access to improved sanitation live in India, as do two-thirds of the 1·1 billion practising open defecation and a quarter of the 1·5 million who die annually from diarrhoeal diseases. We aimed to assess the eff ectiveness of a rural sanitation intervention, within the context of the Government of India's Total Sanitation Campaign, to prevent diarrhoea, soil-transmitted helminth infection, and child malnutrition.