Global Proxemics and Virus Spread Indicators
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About
Presents a cross-cultural analysis of proxemics, detailing acceptable personal interaction distances among residents of 42 nations. This data set illuminates how cultural norms regarding personal space—often referred to as 'social distance'—function as an important cross-cultural indicator. It provides context for understanding how inherent communication distances in different societies might influence the spread rate of communicable diseases, such as viruses.
Columns
- Country/Culture: The specific nation or cultural group surveyed.
- Intimate Distance (Close Person) Mean: The average distance maintained when interacting with a close person (e.g., family or partner).
- Intimate Distance (Close Person) SD: The standard deviation for intimate distance measures.
- Personal Distance (Acquaintance) Mean: The average distance maintained when interacting with an acquaintance.
- Personal Distance (Acquaintance) SD: The standard deviation for personal distance measures.
- Social Distance (Stranger) Mean: The average distance maintained when interacting with a stranger.
- Social Distance (Stranger) SD: The standard deviation for social distance measures.
Distribution
The data set is derived from a generalised analysis of a scientific study. It contains 42 valid records, representing 42 distinct countries globally. The structure is tabular, typically provided in a CSV file format. Detailed quantitative measures for three primary types of interpersonal distance are included (Intimate, Personal, and Social).
Usage
Ideal for studies focused on epidemiology, particularly examining the connection between cultural behaviour (proxemics) and virus transmission rates, often featuring a COVID context. It is also suitable for cross-cultural psychology research, sociological modelling of interaction norms, and developing targeted public health policies relating to mandated physical distancing. The core purpose is exploring the question: How does the established idea of personal space affect the spread of a virus?
Coverage
The scope covers 42 distinct cultures and countries globally. The figures reflect perceptions of personal space published in a 2017 scientific journal study. Data points are quantitative measures of mean distances and standard deviations across the selected nations.
License
CC BY-NC-SA 4.0
Who Can Use It
- Epidemiologists: To model how pre-existing cultural contact habits affect disease transmission rates.
- Social Scientists/Psychologists: To compare proxemic norms across different global societies.
- Public Health Policy Makers: To inform culturally sensitive distancing guidelines during health crises.
- Data Journalists: For visualisations and articles on global social behaviour differences.
Dataset Name Suggestions
- Global Proxemics and Virus Spread Indicators
- Cultural Personal Space Distances (42 Nations)
- Cross-Cultural Proxemics Study (2017)
- Social Distance Norms in 42 Countries
Attributes
Original Data Source: Global Proxemics and Virus Spread Indicators
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