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From the article, they alluded that aspects of depression and anxiety were the effects of cabin fever because of the impaired cognitive ability and hostility. Closing down schools and workplaces was the start of the mental crisis because of the absolute isolation from everyone in fear of catching this sickness.

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This is the Proportion of marital status across countries with more than 200 participants in the online survey.

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Connection: Mental Health, Marital Status, and Isolation. 

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Connection: Mental Health, Marital Status, and Isolation. 

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I thought that this was an amazing piece of information given by the article because it's something our group didn't think of before. Those who were married and had a growing family back home during covid 19, probably did not fall into an isolated depression. While those who were un-married, living alone, or not living with their significant other probably fell into the said isolated depression.

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The article includes various measures such as  perceived stress, trust in authorities, compliance with preventative measures, and more from 39 countries in 47 languages and dialects. It highlights the influence of factors such as trust in media and medical authorities, perceptions of disease’s severity, and compliance with preventative measures. Additionally, the database looks at the psychological impacts of isolation, confinement and information behavior on individuals' well-being, suggesting that extended periods of quarantine could cause negative effects including anxiety, depression, and impaired cognitive ability.

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When the articles looks at the gender distribution in the ten countries with the largest sample, there is a clear disproportion with more female participants than male. The article acknowledges this stating that although the data is not representative of the target population it still remains valuable. Consider this, I am really interested in knowing the impacts of this disparity on the findings and if the experiences of women compared to men differed during the pandemic.

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The article shows the proportion of educational level across 200 participants in the study. It is imperative and interesting to point out the educational difference between the survey respondents, because it contextualize and gives background information relating on the status of isolation that a person could afford during COVID. For example, the status of complete isolation were the highest among the respondents, however the proportion of respondents with a bachelors degree or PhD are also the highest, which could indicate a possible bias in the study, meaning that people with lower educational levels could not afford complete isolation or none at all, but are not taken into account inside the study.

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According to the study, all of the participant countries had a similar proportion of current risk infection varying from .600-.700. However, I found it very interesting to learn that Brazil had the highest risk infection among all countries with .900, while Asian countries had the lowest risk of infection, varying from .300-.400.  Referring to the US and Mexico, both countries share a similar if not same proportion of risk of infection.

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As we continue through the article's data records that cover various countries with diverse demographic profiles, I find it important to highlight the significance of the SLON-3 dataset (Scale of Loneliness). The SLON scale assesses feelings of loneliness and social isolation, offering a quantitative measure of this important aspect of mental well-being. In the article the basic descriptive statistics of the SLON-3 are summarized in the table above.

Something worth mentioning about the SLON-3 and its capabilities is it may accurately pinpoint the nations that may have suffered a more serious emotional toll during the pandemic. Taiwan, in particular, is seen to have a mean score of 1.887 on the SLON-3 scale, indicating a relatively lower degree of loneliness compared to a country like Poland with a mean score of 3.052. I really do believe that this scale does a great job to inform and expose the extent to which people are living and suffering alone.