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A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
Published on: April 28, 2019
Disease and economic burdens of dengue
Marcia C Castro1, Mary E Wilson2, David E Bloom1
1Department of Global Health and Population, Harvard TH Chan School of Public Health, Boston, MA, USA.
Abstract:
The burden of dengue is large and growing. More than half of the global population lives in areas with risk of dengue transmission. Uncertainty in burden estimates, however, challenges policy makers' ability to set priorities, allocate resources, and plan for interventions. In this report, the first in a Series on dengue, we explore the estimations of disease and economic burdens of dengue, and the major estimation challenges, limitations, and sources of uncertainty. We also reflect on opportunities to remedy these deficiencies. Point estimates of apparent dengue infections vary widely, although the confidence intervals of these estimates overlap. Cost estimates include different items, are mostly based on a single year of data, use different monetary references, are calculated from different perspectives, and are difficult to compare. Comprehensive estimates that decompose the cost by different stakeholders (as proposed in our framework), that consider the cost of epidemic years, and that account for productivity and tourism losses, are scarce. On the basis of these estimates, we propose the most comprehensive framework for estimating the economic burden of dengue in any region, differentiated by four very different domains of cost items and by three potential stakeholders who bear the costs. This framework can inform future estimations of the economic burden of dengue and generate demand for additional routine administrative data collection, or for systematic incorporation of additional questions in nationally representative surveys in dengue-endemic countries. Furthermore, scholars could use the framework to guide scenario simulations that consider ranges of possible values for cost items for which data are not yet available. Results would be valuable to policy makers and would also raise awareness among communities, potentially improving dengue control efforts.
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