Demographic data can be used to characterize a given disease. For example, as the average age population increases, the pre-existing disease effect in older people becomes significantly pronounced increasing the incidence of this particular disease. Besides, this happens even if there are low levels of the pre-existing condition in young individuals. Nevertheless, within a non-crowded environment with a low number of people per household, the levels of pre-existing diseases of young people will remain a determining factor, irrespective of the population’s age distribution (Kronenfeld, 2014). Therefore, it is essential to consider the demographic complexities to characterize a disease. It is as well essential to incorporate further research in addressing this disease. For instance, future research will be focused on determining some of the most significant breakthroughs in the early detection, prevention, as well as treatment of this underlying disease. The researchers will have to study the process of this disease from all perspectives from the most molecular, cellular, and basic level to a more extensive, population-based approach (Atta, 2016). As a result, this would assist to determine those factors influencing the likelihood of an individual acquiring this disease, while utilizing this research knowledge in reducing risks as well as saving the lives of so many people. Finally, both mortality and morbidity can as well be used to characterize this disease. For example, the rates of morbidity will vary depending on this condition (Costa, 2012). This is because such a disease can either be highly contagious or lowly contagious, or it has affected a particular demographic as compared to another. Doctors, scientists, and nurses can utilize morbidity rates for calculating risks as well as making recommendations for public and personal health issues (Singh, Guéguen, Ferrie, Shipley, Martikainen, Bonenfant & Marmot, 2015). On the other hand, mortality rates can be used to determine the total number of deaths caused by this particular disease.
References
Atta-ur-Rahman. (2016). Frontiers in Clinical Drug Research - Alzheimer Disorders Volume 5. Sharjah: Bentham Science Publishers Ltd.
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Costa, D. (2012). Scarring and Mortality Selection Among Civil War POWs: A Long-Term Mortality, Morbidity, and Socioeconomic Follow-Up. Demography, 49(4), 1185-1206. doi:10.1007/s13524-012-0125-9
Kronenfeld, J. J. (2014). Impact of Demographics on Health and Healthcare: Race, Ethnicity and Other Social Factors. Bingley: Emerald Group Publishing Limited.
Singh-Manoux, A., Guéguen, A., Ferrie, J., Shipley, M., Martikainen, P., Bonenfant, S., & ... Marmot, M. (2015). Gender Differences in the Association Between Morbidity and Mortality Among Middle-Aged Men and Women. American Journal Of Public Health, 98(12), 2251-2257. doi:10.2105/AJPH.2006.107912
