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This suggests that a local solution to the vaccination problem may be a better overall solution as the network grows in size or has a global solution that is difficult to calculate.
In references to "Data-Aware Vaccination Allocation" [11] this paper demonstrates that the Data Aware Vaccination problem is NP-hard using a reduction from the MinKU set problem [18].
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Of the 3344 caregivers studied who had at least one undervaccinated child, 2177 (65.1%) attributed their child's incomplete schedule to parental negligence, lack of time, or not paying attention to the dates on the vaccination card all problems related to the demand for rather than the supply of vaccines.
A recent study [24] has evaluated the influenza vaccine allocation problem considering a vaccination coverage of 35% at the pandemic onset or near the pandemic peak when the population is stratified by age and low and high risks.
The owners were interested in using vaccination, but the problem was high cost and large dose requirement of the vaccines.
While we focus on a specific problem (vaccination analysis), the proposed workflow is generalizable to many biomedical data analysis questions involving labeled data.
Subunit vaccination avoided the problem with whole MHV-68 of eliciting antibodies mainly to gp150, which promote FcR-dependent infection [21].
A deficiency of public health professionals and poor health services structure, administrative issues, including ineffective means of performance evaluation, bureaucratic and political influences, problems in vaccination areas and vaccinators' field programs, no birth records at health facilities, and poor linkage between different preventive programs were highlighted in the study.
Among the problems of vaccination with genetically engineered vaccines is low immunogenicity.
Furthermore, informal sources of information reporting on problems with the vaccine affect vaccination decisions.
A serious problem of vaccination strategy is the emergence of vaccine-resistant strains [19], [20], [21], [22].
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