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Dennis M. Feehan

Researcher at University of California, Berkeley

Publications -  32
Citations -  1394

Dennis M. Feehan is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Population & Estimator. The author has an hindex of 11, co-authored 27 publications receiving 1216 citations. Previous affiliations of Dennis M. Feehan include Institute for Health Metrics and Evaluation & Harvard University.

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Estimation of potential global pandemic influenza mortality on the basis of vital registry data from the 1918–20 pandemic: a quantitative analysis

TL;DR: This analysis of the empirical record of the 1918-20 pandemic provides a plausible upper bound on pandemic mortality, indicating that most deaths will occur in poor countries--ie, in societies whose scarce health resources are already stretched by existing health priorities.
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Assessing the effect of the 2001–06 Mexican health reform: an interim report card

TL;DR: In this paper, the authors evaluated the effect of Seguro Popular on different dimensions of the health system and found that affiliation is preferentially reaching the poor and the marginalised communities.
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Benchmarking of performance of Mexican states with effective coverage

TL;DR: Monitoring of the delivery of 14 interventions in Mexico for 2005-06 found effective coverage for maternal and child health interventions is substantially higher than that for interventions that target other health problems andconsiderable variation also exists in effective coverage at similar amounts of spending.
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Validation of the symptom pattern method for analyzing verbal autopsy data.

TL;DR: A statistical strategy for analyzing VA data that overcomes the limitations of PCVA is developed and validated, and the results suggest that PCVA relies heavily on household recall of medical records and related information, limiting its applicability in low-resource settings.
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Quantifying population contact patterns in the United States during the COVID-19 pandemic.

TL;DR: In this article, the authors report results from four waves of contact surveys designed to quantify the impact of physical distancing policies during the COVID-19 pandemic in the United States and find that interpersonal contact has been dramatically reduced in the US, with an 82% (95%CI: 80%-83%) reduction in the average number of daily contacts observed during the first wave compared to pre-pandemic levels.