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Perceptions of COVID-19 and HIV Risk and Related Preventive Health Behaviors in Rural Zambia
Mei Tan1, Philip E Thuma2, Susie Hoffman3
1HIV Center for Clinical and Behavioral Studies, Columbia University, New York, USA. mtt2114@cumc.columbia.edu.
Perceived risk for COVID-19 and HIV in rural Zambia did not correlate with preventive behaviors. Different diseases, like COVID-19 and HIV, have unique risk perception factors and influence preventive actions differently.
Area of Science:
- Public Health
- Health Behavior Research
- Epidemiology
Background:
- Understanding risk perception is crucial for effective disease prevention strategies.
- Research on how risk perception relates to preventive behaviors across different diseases is limited.
- A holistic model of risk perception provides a framework for examining these relationships.
Purpose of the Study:
- To compare perceived risk levels for COVID-19 and HIV in a rural Zambian community.
- To examine factors associated with perceived risk for each disease.
- To evaluate the link between perceived risk, its correlates, and preventive behaviors for COVID-19 and HIV.
Main Methods:
- A survey was administered to 118 adults in a rural Zambian community.
- Data collected included risk perception, preventive behaviors, knowledge, trust in information sources, disease experience, and prosociality.
- Statistical analyses were performed to compare perceived risk and its correlates for COVID-19 and HIV.
Main Results:
- Perceived risk for COVID-19 and HIV differed significantly, as did their associated factors.
- Neither disease's perceived risk was directly related to its specific preventive behaviors.
- Trusted information sources for HIV correlated with higher HIV risk perception; direct COVID-19 experience correlated with higher COVID-19 risk perception.
- Prosociality was linked to COVID-19 preventive behaviors, while knowledge was linked to preventive behaviors for both diseases.
Conclusions:
- Disease prevention strategies must consider the distinct risk perception and behavioral correlates for different diseases.
- Factors such as prior experience and cultural context likely influence these differences.
- Targeting interventions based on disease-specific factors, rather than a one-size-fits-all approach, is essential for public health.
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