It has been scientifically demonstrated that the use of mathematical models can be beneficial in predicting outcomes of epidemic, policy implementation, and other public health related endeavors. These models can depict scenarios at a community, country, or even global scale. However, there are caveats to the usage of these models. An especially important one to consider is the data of which these models are based on. Models rely on the inputs from equations, which are formulated on the basis of data collected that pertains to the event being modeled. If there is inaccurate collection of data of which the model is based on, then it is likely that the model will not accurately predict the events that it is meant to model. This can lead to detrimental and costly results, as the action taken based on the model could fail or have adverse effects.
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