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      Stay-at-Home Orders during the COVID-19 Pandemic Reduced Urban Water Use

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          Abstract

          In response to the outbreak of the COVID-19 pandemic, many governments instituted “stay-at-home” orders to prevent the spread of the coronavirus. The resulting changes in work and life routines had the potential to substantially perturb typical patterns of urban water use. We present here an analysis of how these pandemic responses affected California’s urban water consumption. Using water demand modeling that fuses an integrated water use database, we first simulated the water use in a business-as-usual (non-pandemic) scenario for essentially all urban areas in California. We then subtracted the business-as-usual water use from the actual use to isolate the changes caused solely by the pandemic response. We found that the pandemic response decreased California’s urban water use by 7.9%, which can be largely attributed to an 11.2% decrease in the commercial, industrial, and institutional sector that more than offset a 1.4% increase in the residential sector. The influence of the stay-at-home practices on urban water use is slightly stronger than the combined influences of all non-pandemic factors. This study covers both metropolitans and suburbs; therefore, the results could also be useful for analysis of the impacts of COVID-19 on water use in other urban areas.

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          Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

          Summary Background Within 4 months of COVID-19 first being reported in the USA, it spread to every state and to more than 90% of all counties. During this period, the US COVID-19 response was highly decentralised, with stay-at-home directives issued by state and local officials, subject to varying levels of enforcement. The absence of a centralised policy and timeline combined with the complex dynamics of human mobility and the variable intensity of local outbreaks makes assessing the effect of large-scale social distancing on COVID-19 transmission in the USA a challenge. Methods We used daily mobility data derived from aggregated and anonymised cell (mobile) phone data, provided by Teralytics (Zürich, Switzerland) from Jan 1 to April 20, 2020, to capture real-time trends in movement patterns for each US county, and used these data to generate a social distancing metric. We used epidemiological data to compute the COVID-19 growth rate ratio for a given county on a given day. Using these metrics, we evaluated how social distancing, measured by the relative change in mobility, affected the rate of new infections in the 25 counties in the USA with the highest number of confirmed cases on April 16, 2020, by fitting a statistical model for each county. Findings Our analysis revealed that mobility patterns are strongly correlated with decreased COVID-19 case growth rates for the most affected counties in the USA, with Pearson correlation coefficients above 0·7 for 20 of the 25 counties evaluated. Additionally, the effect of changes in mobility patterns, which dropped by 35–63% relative to the normal conditions, on COVID-19 transmission are not likely to be perceptible for 9–12 days, and potentially up to 3 weeks, which is consistent with the incubation time of severe acute respiratory syndrome coronavirus 2 plus additional time for reporting. We also show evidence that behavioural changes were already underway in many US counties days to weeks before state-level or local-level stay-at-home policies were implemented, implying that individuals anticipated public health directives where social distancing was adopted, despite a mixed political message. Interpretation This study strongly supports a role of social distancing as an effective way to mitigate COVID-19 transmission in the USA. Until a COVID-19 vaccine is widely available, social distancing will remain one of the primary measures to combat disease spread, and these findings should serve to support more timely policy making around social distancing in the USA in the future. Funding None.
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            Increasing precipitation volatility in twenty-first-century California

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              Staying at Home: Mobility Effects of COVID-19

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                Author and article information

                Journal
                Environ Sci Technol Lett
                Environ Sci Technol Lett
                ez
                estlcu
                Environmental Science & Technology Letters
                American Chemical Society
                2328-8930
                10 February 2021
                : acs.estlett.0c00979
                Affiliations
                []Department of Geography, University of California , Los Angeles, California 90095-1524, United States
                []Department of Civil and Environmental Engineering, University of California , Los Angeles, California 90095, United States
                [§ ]Office of Water Programs, California State University , Sacramento, California 95819-6025, United States
                []Department of Economics, California State University , Sacramento, California 95819, United States
                []Institute of the Environment and Sustainability, University of California , Los Angeles, California 90095-1496, United States
                Author notes
                [* ]Phone: 310-794-4327. Email: dlettenm@ 123456ucla.edu .
                Article
                10.1021/acs.estlett.0c00979
                7885799
                37566349
                eeb9f25f-4e93-42fb-8b9d-2887a666241a
                © 2021 American Chemical Society

                This article is made available via the PMC Open Access Subset for unrestricted RESEARCH re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

                History
                : 15 December 2020
                : 03 February 2021
                : 02 February 2021
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