Data · dataset · 2022
Assessing the impact of Sars-CoV-2 on water consumption in São Paulo State, Brazil
Listed in Teesside University Research Data Repository
The pandemic caused by Sars-CoV-2 in 2020 led to a significant change in human behaviors, mainly because of the quarantine to avoid the spread of the virus.
Description
Measures affected both economic activities and citizens´ behaviors as they developed more intense hygiene habits to avoid contamination and switched to home office. These exceptional behaviors also affect the way that water is consumed and need to be fully understood to manage supply systems.
Therefore, this study aims to investigate changes in residential and commercial water consumption in 31 municipalities in the State of São Paulo during the Sars-CoV-2. To do this, the expected consumption for the first half of 2020 was forecasted using the Holt-Winters Multiplicative method and compared to the data observed for the same period. The data and algorithm presented in this work allow the reproducibility of the results showed in the article mentioned above.
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For use the algorithm, it is necessary a Matlab software. In our work, we used the Matlab version R2015a. All instructions are presented in the file "README - INSTRUCTIONS".
Adriano Anadinho Ferreira (Federal University of Goiás) downloaded all the materials, installed, ran the models using the data and functions in "analise_consumo_covid_matlab.m" and "boxplot_theils_mape.m" and reproduce the results in Tables 2, 3 and 4 and in Figures 4-6, 8 and 9.
Links
Where it is published
- DOI doi.org/10.17632/46gjm5vwy4.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/46gjm5vwy4.1 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |