Custom algorithms in epidemiology refer to specialized computational models or procedures designed to analyze epidemiological data. These algorithms are tailored to address specific research questions or challenges within the field, such as predicting disease outbreaks, modeling transmission dynamics, or identifying risk factors. Their flexibility allows researchers to incorporate specific variables or data types unique to a particular study or disease.