What is Misinterpretation of Data in Epidemiology?
Misinterpretation of data in epidemiology refers to the incorrect analysis, understanding, or communication of epidemiological findings. This can lead to misleading conclusions about the occurrence, distribution, and determinants of health-related states or events in specified populations. Misinterpretation can occur at multiple levels, from data collection to statistical analysis to the dissemination of findings.