Selected article for: "community demographic structure and low income"

Author: Milne, George J; Baskaran, Pravin; Halder, Nilimesh; Karl, Stephan; Kelso, Joel
Title: Pandemic influenza in Papua New Guinea: a modelling study comparison with pandemic spread in a developed country
  • Document date: 2013_3_26
  • ID: y01w04lc_9
    Snippet: A substantial number of pandemic influenza models have been constructed in the past decade; however their primary focus is on examining intervention effectiveness in developed (e.g. the USA and European countries [7] [8] [9] [10] ) and middle income countries (e.g. Thailand [11, 12] ). These models, and analyses using them, give limited guidance as to the impact which an influenza pandemic may have on lowincome countries such as PNG and those in .....
    Document: A substantial number of pandemic influenza models have been constructed in the past decade; however their primary focus is on examining intervention effectiveness in developed (e.g. the USA and European countries [7] [8] [9] [10] ) and middle income countries (e.g. Thailand [11, 12] ). These models, and analyses using them, give limited guidance as to the impact which an influenza pandemic may have on lowincome countries such as PNG and those in sub-Saharan Africa [13] . These countries have markedly different demographic and community structure and limited resources and infrastructural constraints in comparison with developed countries. Significantly, it has been shown that co-morbidity is a strong predictor for severe and fatal outcomes following influenza infection [14] . High rates of co-morbidity arising from influenza infection coupled with disease conditions generally absent in developed countries (such as chronic malnutrition, malaria, tuberculosis, pneumonia and HIV) will result in a significantly increased burden on health infrastructures in low-income countries already operating above capacity.

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