Sensitivity analysis is a critical tool in epidemiology that helps assess how the results of a study or model change in response to variations in parameters or assumptions. Here are some key applications of sensitivity analysis in this field: 1. **Model Validation**: Sensitivity analysis can be used to validate epidemiological models by testing how sensitive the outcomes are to changes in input parameters. This helps confirm the robustness of the model and its credibility in predicting disease spread.
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