The Risk Perception of Covid-19 infection at the Neighborhood Scale
These are the data used to survey the manuscript with the same name. The manuscript aims to explore the environmental features at the neighborhood level which increase the risk of coronavirus infection based on the perspective of the general population. It includes the answers to an open-ended quest...
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creator | shiva ghafari |
description | These are the data used to survey the manuscript with the same name. The manuscript aims to explore the environmental features at the neighborhood level which increase the risk of coronavirus infection based on the perspective of the general population.
It includes the answers to an open-ended questionnaire applied in Tabriz and Tehran cities, Iran. The data was coded at MAXQDA2020 software and weighted the finding factors using the entropy Shannon's calculations. We categorized our results into three topics: 1-requirements, 2-negative factors, and 3-positive factors., and discussed the top four important factors of each topic. |
doi_str_mv | 10.17632/w83rxwsxwk.1 |
format | Dataset |
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It includes the answers to an open-ended questionnaire applied in Tabriz and Tehran cities, Iran. The data was coded at MAXQDA2020 software and weighted the finding factors using the entropy Shannon's calculations. We categorized our results into three topics: 1-requirements, 2-negative factors, and 3-positive factors., and discussed the top four important factors of each topic.</description><fulltext>true</fulltext><rsrctype>dataset</rsrctype><creationdate>2022</creationdate><recordtype>dataset</recordtype><sourceid>PQ8</sourceid><recordid>eNpjYBA1NNAzNDczNtIvtzAuqigvrijP1jPkZHAOyUhVCMoszlYISC1KTi0oyczPU8hPU3DOL8tM0TW0VMjMS0tNBosmliiUABX7pWamZyTlF2Xk56coBCcn5qTyMLCmJeYUp_JCaW4GXTfXEGcP3ZTEksTkzJLU-IKizNzEosp4Q4N4sCPiEY6INzQmVT0ACeVCPg</recordid><startdate>20220428</startdate><enddate>20220428</enddate><creator>shiva ghafari</creator><general>Mendeley</general><scope>DYCCY</scope><scope>PQ8</scope></search><sort><creationdate>20220428</creationdate><title>The Risk Perception of Covid-19 infection at the Neighborhood Scale</title><author>shiva ghafari</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-datacite_primary_10_17632_w83rxwsxwk_13</frbrgroupid><rsrctype>datasets</rsrctype><prefilter>datasets</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>online_resources</toplevel><creatorcontrib>shiva ghafari</creatorcontrib><collection>DataCite (Open Access)</collection><collection>DataCite</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>shiva ghafari</au><format>book</format><genre>unknown</genre><ristype>DATA</ristype><title>The Risk Perception of Covid-19 infection at the Neighborhood Scale</title><date>2022-04-28</date><risdate>2022</risdate><abstract>These are the data used to survey the manuscript with the same name. The manuscript aims to explore the environmental features at the neighborhood level which increase the risk of coronavirus infection based on the perspective of the general population.
It includes the answers to an open-ended questionnaire applied in Tabriz and Tehran cities, Iran. The data was coded at MAXQDA2020 software and weighted the finding factors using the entropy Shannon's calculations. We categorized our results into three topics: 1-requirements, 2-negative factors, and 3-positive factors., and discussed the top four important factors of each topic.</abstract><pub>Mendeley</pub><doi>10.17632/w83rxwsxwk.1</doi><oa>free_for_read</oa></addata></record> |
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title | The Risk Perception of Covid-19 infection at the Neighborhood Scale |
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