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      A War on Two Fronts: Cancer Care in the Time of COVID-19

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          Abstract

          Initial reports suggest that COVID-19 can be particularly lethal in patients with cancer. This commentary discusses how to balance a delay in cancer diagnosis or treatment against the risk for a potential COVID-19 exposure, mitigate the risks for significant care disruptions associated with social distancing behaviors, and manage the appropriate allocation of limited health care resources in this unprecedented time of health care crisis.

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          Most cited references1

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          The effect of public health measures on the 1918 influenza pandemic in U.S. cities.

          During the 1918 influenza pandemic, the U.S., unlike Europe, put considerable effort into public health interventions. There was also more geographic variation in the autumn wave of the pandemic in the U.S. compared with Europe, with some cities seeing only a single large peak in mortality and others seeing double-peaked epidemics. Here we examine whether differences in the public health measures adopted by different cities can explain the variation in epidemic patterns and overall mortality observed. We show that city-specific per-capita excess mortality in 1918 was significantly correlated with 1917 per-capita mortality, indicating some intrinsic variation in overall mortality, perhaps related to sociodemographic factors. In the subset of 23 cities for which we had partial data on the timing of interventions, an even stronger correlation was found between excess mortality and how early in the epidemic interventions were introduced. We then fitted an epidemic model to weekly mortality in 16 cities with nearly complete intervention-timing data and estimated the impact of interventions. The model reproduced the observed epidemic patterns well. In line with theoretical arguments, we found the time-limited interventions used reduced total mortality only moderately (perhaps 10-30%), and that the impact was often very limited because of interventions being introduced too late and lifted too early. San Francisco, St. Louis, Milwaukee, and Kansas City had the most effective interventions, reducing transmission rates by up to 30-50%. Our analysis also suggests that individuals reactively reduced their contact rates in response to high levels of mortality during the pandemic.
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            Author and article information

            Journal
            Ann Intern Med
            Ann. Intern. Med
            aim
            Annals of Internal Medicine
            American College of Physicians
            0003-4819
            1539-3704
            27 March 2020
            : M20-1133
            Affiliations
            [1]Fox Chase Cancer Center, Philadelphia, Pennsylvania (A.K., D.S.W., M.J.E., E.M.H., R.G.U., R.I.F.)
            Article
            aim-olf-M201133
            10.7326/M20-1133
            7133056
            32219410
            d636005f-5222-4767-8f81-9439b3238bcf
            Copyright @ 2020

            This article is made available via the PMC Open Access Subset for unrestricted re-use for research, analyses, and text and data mining through PubMed Central. Acknowledgement of the original source shall include a notice similar to the following: "© 2020 American College of Physicians. Some rights reserved. This work permits non-commercial use, distribution, and reproduction in any medium, provided the original author and source are credited." These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

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