Dataset Information

The spread of SARS-CoV-2 in Spain: Hygiene habits, sociodemographic profile, mobility patterns and comorbidities.

ABSTRACT: COVID-19 constitutes the largest pandemic in the last 100 years. In view of the rapid spread of the virus, it is necessary to study the sociodemographic characteristics, hygiene habits, activity and mobility, and comorbidities of SARS-CoV-2 infection to be able to implement prevention strategies. For this purpose, a survey including the variables of interest was designed to try to understand the exponential spread of the virus despite the implemented severe restrictive mobility measures during the period of maximum confinement in Spain. This study conducted throughout the Spanish territory aims to clarify other routes of transmission of the COVID-19 during confinement, risk factors, and the effectiveness of the recommended hygiene measures to detect critical points of exposure to the virus and thus reduce its spread in this and possible future pandemics that could compromise public health. Our results show that living with a COVID-19 patient increased the risk of contagion by 60 times. Among all the sociodemographic variables analyzed, walking the dog have shown to have the strongest effect by increasing the risk by 78%. The most effective hygiene measure reducing the prevalence of the disease was the disinfection of products purchased from the market upon arrival home (which reduced the risk by 94%), above other hygiene measures, such as wearing masks, gloves, ethanol disinfection, bleaching and others. The mobility variable studied that showed the largest increase in the prevalence of the disease was working on site at the workplace (increased the risk by 76%). A significant higher prevalence of the disease was also detected among respondents who used the modality of acquiring basic commodities using home delivery service compared to those who chose in-store shopping.

SUBMITTER: Rodriguez-Barranco M

PROVIDER: S-EPMC7505892 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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The spread of SARS-CoV-2 in Spain: Hygiene habits, sociodemographic profile, mobility patterns and comorbidities.

Rodríguez-Barranco Miguel M Rivas-García Lorenzo L Quiles José L JL Redondo-Sánchez Daniel D Aranda-Ramírez Pilar P Llopis-González Juan J Sánchez Pérez María José MJ Sánchez-González Cristina C

Environmental research 20200922

COVID-19 constitutes the largest pandemic in the last 100 years. In view of the rapid spread of the virus, it is necessary to study the sociodemographic characteristics, hygiene habits, activity and mobility, and comorbidities of SARS-CoV-2 infection to be able to implement prevention strategies. For this purpose, a survey including the variables of interest was designed to try to understand the exponential spread of the virus despite the implemented severe restrictive mobility measures during t ...[more]

PMID: 32971081

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Project description:BackgroundIt is a priority to achieve an adequate nutritional status of iodine during pregnancy since iodine deficiency in this population may have repercussions on the mother during both gestation and post partum as well as on the foetus, the neonate and the child at different ages. According to the WHO, iodine deficiency is the most frequent cause of mental retardation and irrreversible cerebral lesions around the world. However, few studies have been published on the nutritional status of iodine in the pregnant population within the Primary Care setting, a health care level which plays an essential role in the education and control of pregnant women. Therefore, the aim of the present study is: 1.- To know the hygiene-dietetic habits related to the intake of foods rich in iodine and smoking during pregnancy. 2.- To determine the prevalence of iodine deficiency and the factors associated with its appearance during pregnancy.Methods/designWe will perform a cluster randomised, controlled, multicentre trial. Randomisation unit: Primary Care Team.Study population898 pregnant women over the age of 17 years attending consultation to a midwife during the first trimester of pregnancy in the participating primary care centres.Outcome measuresconsumption of iodine-rich foods and iodine deficiency. Points of assessment: each trimester of the gestation.Interventiongroup education during the first trimester of gestation on healthy hygiene-dietetic habits and the importance of an adequate iodine nutritional status.Statistical analysisdescriptive analysis of all variables will be performed as well as multilevel logistic regression. All analyses will be done carried out on an intention to treat basis and will be fitted for potential confounding factors and variables of clinical importance.DiscussionEvidence of generalised iodine deficiency during pregnancy could lead to the promotion of interventions of prevention such as how to improve and intensify health care educational programmes for pregnant women.Trial registrationClinicalTrials.gov: NCT01301768.

Project description:Understanding seasonal human mobility at subnational scales has important implications across sciences, from urban planning efforts to disease modelling and control. Assessing how, when, and where populations move over the course of the year, however, requires spatially and temporally resolved datasets spanning large periods of time, which can be rare, contain sensitive information, or may be proprietary. Here, we aim to explore how a set of broadly available covariates can describe typical seasonal subnational mobility in Kenya pre-COVID-19, therefore enabling better modelling of seasonal mobility across low- and middle-income country (LMIC) settings in non-pandemic settings. To do this, we used the Google Aggregated Mobility Research Dataset, containing anonymized mobility flows aggregated over users who have turned on the Location History setting, which is off by default. We combined this with socioeconomic and geospatial covariates from 2018 to 2019 to quantify seasonal changes in domestic and international mobility patterns across years. We undertook a spatiotemporal analysis within a Bayesian framework to identify relevant geospatial and socioeconomic covariates explaining human movement patterns, while accounting for spatial and temporal autocorrelations. Typical pre-pandemic mobility patterns in Kenya mostly consisted of shorter, within-county trips, followed by longer domestic travel between counties and international travel, which is important in establishing how mobility patterns changed post-pandemic. Mobility peaked in August and December, closely corresponding to school holiday seasons, which was found to be an important predictor in our model. We further found that socioeconomic variables including urbanicity, poverty, and female education strongly explained mobility patterns, in addition to geospatial covariates such as accessibility to major population centres and temperature. These findings derived from novel data sources elucidate broad spatiotemporal patterns of how populations move within and beyond Kenya, and can be easily generalized to other LMIC settings before the COVID-19 pandemic. Understanding such pre-pandemic mobility patterns provides a crucial baseline to interpret both how these patterns have changed as a result of the pandemic, as well as whether human mobility patterns have been permanently altered once the pandemic subsides. Our findings outline key correlates of mobility using broadly available covariates, alleviating the data bottlenecks of highly sensitive and proprietary mobile phone datasets, which many researchers do not have access to. These results further provide novel insight on monitoring mobility proxies in the context of disease surveillance and control efforts through LMIC settings.

Dataset Information

The spread of SARS-CoV-2 in Spain: Hygiene habits, sociodemographic profile, mobility patterns and comorbidities.

Publications

The spread of SARS-CoV-2 in Spain: Hygiene habits, sociodemographic profile, mobility patterns and comorbidities.

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