![]() This is probably the case for making the Deaths Master File (DMF), with names and dates of death of persons reported as deceased to the states and federal government, freely available to the public and other government agencies. Note that some of these recommendations may require changes in federal or state laws, federal or state regulations, or renegotiation of contracts between the federal government and states. Common scientific and engineering practice is designed to prevent serious errors and should be followed rigorously in a crisis such as the COVID-19 pandemic. In light of the previous discussion, we make a number of recommendations to improve CDC’s data practices, including improved observance of common scientific and engineering practice – such as use of significant figures and reporting of statistical and systematic errors. (Click on this URL to view the preprint) ![]() Improving CDC Data Practices Recommendations for Improving the United States Centers for Disease Control (CDC) Data Practices for Pneumonia, Influenza, and COVID-19. McGowan, Ph.D., Tam Hunt, Josh Mitteldorf. #Clarify covid 19 series#We conclude with a series of explicit recommendations for greater consistency and transparency, and ultimately to make CDC data more useful to outside epidemiologists. (5) Guidelines for filling out death certificates have changed during the COVID-19 pandemic, preventing the comparison of 2020-21 death profiles with any previous year. (4) The methodology for computing influenza deaths is not described in sufficient detail that an outside analyst might pursue the source of the discrepancy. (3) Pneumonia and influenza death data on different CDC pages is grossly contradictory. (2) What counts as an "excess death"? The method for computing the number of excess deaths does not include error bars and we show a substantial range of estimates is possible. (1) "Excess" deaths are routinely reported, but not "years of life lost", an easily-computed datum that is important for public policy. In this paper, we highlight areas in which CDC methodology might be improved and where greater transparency might lead to broad collaboration. But the methodology used and even some of the data collected by CDC remain opaque to the public and to the community of academic epidemiology. I am the corresponding author.ĭuring the pandemic, millions of Americans have become acquainted with the CDC because its reports and the data it collects affect their day-to-day lives. and myself on the US Centers for Disease Control (CDC)’s data practices during the COVID-19 pandemic and for pneumonia and influenza prior to the pandemic. ![]() This is a preprint of a new academic paper written by Tam Hunt, Josh Mitteldorf, Ph.D. Recommendations for Improving the United States Centers for Disease Control (CDC) Data Practices for Pneumonia, Influenza, and COVID-19 This is a repeat comment but seems quite relevant to the topic of this podcast: ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |