ArticleThe International journal of health planning and management2022
Association of COVID-19 with lifestyle behaviours and socio-economic variables in Turkey: An analysis of Google Trends.
Article in The International journal of health planning and management, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The Relationship between Searches for COVID-19 Vaccines and Dynamics of Vaccinated People in Poland: An Infodemiological Study.International journal of environmental research and public health · 2022Article
- Association of COVID-19 with lifestyle behaviours and socio-economic variables in Turkey: An analysis of Google Trends.The International journal of health planning and management · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aims to examine the relationship between COVID-19 cases/deaths and Google data on lifestyle behaviours and socio-economic variables in Turkey. The data of the research are composed of Google Trends search volume for various words related to socio-economic conditions, nutritional attitudes, indoor behaviour, outdoor activities and confirmed COVID-19 case and death data from the Ministry of Health from 31 December 2019 to 31 January 2021. Spearman correlation analysis was conducted to evaluate the relationship between the Google search volumes of selected keywords and COVID-19 case and deaths. In addition, repeated ANOVA and Bonferroni post-hoc tests were performed to compare the differences in search volumes of selected keywords before and during the COVID-19 outbreak. Correlation analysis showed that the strongest variables in each category were vitamin C, zinc, Zoom, online shopping, hotel, market, gym, unemployment and unemployment benefit. Compared to previous years, during the pandemic, there was a significant increase or decrease in the search volumes of almost all words. These results showed that the COVID-19 significantly changed people's online interests regarding lifestyle behaviours and socio-economic conditions. It is thought that the findings can guide health policies to be followed in reducing the effects of both behavioural changes and negative socio-economic consequences.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.