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• W2913706701 abstract "Abstract One of the challenges faced by global disease surveillance efforts is the lack of comparability across systems. Reporting commonly focuses on overall incidence, despite differences in surveillance quality between and within countries. For most immunizing infections, the age-distribution of incident cases provides a more robust picture of trends in transmission. We present a framework to estimate transmission intensity for dengue virus from age-specific incidence data, and apply it to 363 administrative units in Thailand, Colombia, Brazil and Mexico. Our estimates correlate well with those derived from seroprevalence data (the gold-standard), capture the expected spatial heterogeneity in risk, and correlate with known environmental drivers of transmission. We show how this approach could be used to guide the implementation of control strategies such as vaccination. Since age-specific counts are routinely collected by many surveillance systems, they represent a unique opportunity to further our understanding of disease burden and risk for many diseases." @default.
• W2913706701 created "2019-02-21" @default.
• W2913706701 creator A5021062034 @default.
• W2913706701 creator A5046059142 @default.
• W2913706701 creator A5086547092 @default.
• W2913706701 date "2019-02-08" @default.
• W2913706701 modified "2023-09-27" @default.
• W2913706701 title "Opportunities for improved surveillance and control of infectious diseases from age-specific case data" @default.
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• W2913706701 doi "https://doi.org/10.1101/545319" @default.
• W2913706701 hasPublicationYear "2019" @default.
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