Abstract Non-Pharmaceutical Interventions (NPIs) have been widely employed globally over
the past three years to control the rapid spread of coronavirus disease 2019 (COVID-19) …

This study aims to investigate the spatiotemporal trends and impact of COVID-19 lockdowns
to the profile of physiochemical parameters in the influent of wastewater treatment plants …

This study presents a comparative analysis of various Machine Learning (ML) techniques for
predicting water consumption using a comprehensive dataset from Kocaeli Province …

The change in the way of life caused by the introduction of social restriction measures
(closures, the restriction of working hours, and restriction of movement) by governments and …

This study focuses on Kocaeli province in Turkey and employs Artificial Neural Networks
(ANN) to predict monthly water consumption. With approximately 800.000 water subscribers …

A presente tese de doutorado intitulada" Impactos da Pandemia de COVID-19 no Consumo
Urbano de Água: Uma Análise Temporal, Espacial e Sociodemográfica," apresenta uma …

Objective: To evaluate the association between intermittent water supply, Family Health Unit
(FHU) coverage, and COVID-19 spread among older adults (≥ 70 years) in Bauru, São …

Water is essential for living things and cannot be substituted. The rapidly growing world
population causes people to change their needs and habits. The need for water is …