| Summary: | Vaccinationis the best approach in curbing the spread of a pandemic.However, during pandemic one of the challenge is limited number of vaccine due to limited manufacturing capacity and high demand. Therefore, optimal vaccine distribution is neededto ensure maximum effectiveness in decreasingthe total infections in the population.In this paper, the vaccine distribution is optimized usingsine cosine algorithm improved withmutation (SCAmut). The SEIR model of H1N1 pandemic in 2009 is used as the case problem here. The effectiveness of SCAmut vaccine deployment is studied usingtwofactors, which are vaccine coverage percentage andvaccine releasing time. The algorithm's result is compared withthree traditional methodsand original SCA without mutation.The findings suggestedthat the proposed SCAmutis able toprovide more effective vaccination distributionsbetter than the three traditional methods and also the original SCA.
|
|---|