Abstract
Mathematical models of the AIDS epidemic require information from a variety of sources. To produce reliable results, these models must take into account the limitations of each data source regarding sample size, accuracy of actual data values, and data structure. Because these limitations determine what can be estimated from each source and how precisely this can be estimated, they affect the quality of model results. Therefore, it is important to consider the effect of uncertainty of estimation in interpreting models.
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De Gruttola, V., Lagakos, S. (1989). Epidemic Models, Empirical Studies, and Uncertainty. In: Castillo-Chavez, C. (eds) Mathematical and Statistical Approaches to AIDS Epidemiology. Lecture Notes in Biomathematics, vol 83. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93454-4_2
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DOI: https://doi.org/10.1007/978-3-642-93454-4_2
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