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The highly interconnected nature of the human protein interaction network (interactome) indicates that, at the molecular level, it is difficult to consider diseases as being independent of one another.
Note that, in this work, we just consider diseases contracted after birth.
In addition, physicians treating returning travelers should consider diseases such as leptospirosis in patients with a history of water exposures.
Indigenous people consider diseases to be individual, a sign of social or world disorder, which contradicts the understanding of occidental biomedicine [ 40].
Likewise, it is essential to consider diseases as being potentially dependent on each other and to take into account environmental factors capable of modulating disease dynamics.
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This model has been studied by many authors [1 11]; however, many literature works did not consider disease resistance in humans.
Hence, we consider disease transmission in a finite population in this paper, and let n be the maximum degree.
(1) Models that consider disease effects on the host population tend to focus on pathogen proliferation within the host.
We consider disease parameters estimated for the novel 2009 pH1N1 pandemic as well as more highly transmissible strains of pandemic influenza.
To consider disease dynamics beyond the initial pandemic period, we have developed a mathematical approach based on percolation methods.
This study did not consider disease types.
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