کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
2813558 1569436 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Social deprivation and burden of influenza: Testing hypotheses and gaining insights from a simulation model for the spread of influenza
ترجمه فارسی عنوان
محرومیت اجتماعی و بار آنفولانزای: تست فرضیه ها و به دست آوردن بینش از یک مدل شبیه سازی برای گسترش آنفلوانزا
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
چکیده انگلیسی


• Social deprivation is negatively associated with burden of influenza.
• Neighborhood composition and spatial arrangement may be driving this relationship.
• Affecting these factors may reduce disparities in the burden of influenza.

Factors associated with the burden of influenza among vulnerable populations have mainly been identified using statistical methodologies. Complex simulation models provide mechanistic explanations, in terms of spatial heterogeneity and contact rates, while controlling other factors and may be used to better understand statistical patterns and, ultimately, design optimal population-level interventions. We extended a sophisticated simulation model, which was applied to forecast epidemics and validated for predictive ability, to identify mechanisms for the empirical relationship between social deprivation and the burden of influenza. Our modeled scenarios and associated epidemic metrics systematically assessed whether neighborhood composition and/or spatial arrangement could qualitatively replicate this empirical relationship. We further used the model to determine consequences of local-scale heterogeneities on larger scale disease spread. Our findings indicated that both neighborhood composition and spatial arrangement were critical to qualitatively match the empirical relationship of interest. Also, when social deprivation was fully included in the model, we observed lower age-based attack rates and greater delay in epidemic peak week in the most socially deprived neighborhoods. Insights from simulation models complement current understandings from statistical-based association studies. Additional insights from our study are: (1) heterogeneous spatial arrangement of neighborhoods is a necessary condition for simulating observed disparities in the burden of influenza and (2) unmeasured factors may lead to a better quantitative match between simulated and observed rate ratio in the burden of influenza between the most and least socially deprived populations.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Epidemics - Volume 11, June 2015, Pages 71–79
نویسندگان
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