01588nas a2200253   4500000000100000008004100001260001800042100001100060700001700071700001200088700001700100700001100117700002000128700001700148700002100165700001800186700001600204700001400220245009700234856008400331300000900415490000700424520090300431       2023                            d  bSpringer Link1 aIgoe M1 aCasagrandi R1 aGatto M1 aHoover C. M.1 aMari L1 aNgonghala C. N.1 aRemais J. V.1 aSanchirico J. N.1 aSokolow S. H.1 a Lenhart S.1 ade Leo G.00aReframing Optimal Control Problems for Infectious Disease Management in Low-Income Countries  uhttps://link.springer.com/content/pdf/10.1007/s11538-023-01137-4.pdf?pdf=button  a1-310 v853 a<p>Optimal control theory can be a useful tool to identify the best strategies for the management of infectious diseases. In most of the applications to disease control with ordinary differential equations, the objective functional to be optimized is formulated in monetary terms as the sum of intervention costs and the cost associated with the burden of disease. We present alternate formulations that express epidemiological outcomes via health metrics and reframe the problem to include features such as budget constraints and epidemiological targets. These alternate formulations are illustrated with a compartmental cholera model. The alternate formulations permit us to better explore the sensitivity of the optimal control solutions to changes in available budget or the desired epidemiological target. We also discuss some limitations of comprehensive cost assessment in epidemiology</p>