scholarly journals U.S. Pneumonia and Influenza Mortality Surveillance: A New Era

Author(s):  
Krista Kniss ◽  
Bianca Malcolm ◽  
Paul Sutton ◽  
Lynnette Brammer

The National Center for Health Statistics (NCHS) and the Influenza Division are collaborating to increase accuracy and decrease resources needed for pneumonia and influenza mortality surveillance in the United States Electronic death registration systems as well as funding to states have made reporting of mortality data to NCHS near real-time. We assessed the timeliness of the NCHS data and compared the data to the 122 Cities Reporting System (CMRS). Because of increased timeliness of the NCHS data and correlation to the 122 CMRS we will continue to monitor data from NCHS as a potential replacement for the 122 CMRS.

PEDIATRICS ◽  
1965 ◽  
Vol 35 (1) ◽  
pp. 142-145
Author(s):  
Myron E. Wegman

FOR A great many years there have been presented under this heading certain basic vital statistics data for the United States, drawn from the provisional report published by the National Center for Health Statistics. This year's provisional report, published July 31, 1964, as Vol. 12, No. 13, of the Monthly Vital Statistics Report, was shortly followed, through an innovation of processing final data more rapidly, by Advance Final Natality Data, Vol. 13, No. 6, September 14, 1964, and, just as this manuscript was being submitted, by Advance Final Mortality Data, Vol. 13, No. 8, November 2, 1964. Thus, for the first time, the present report may be made without the reservations relative to later correction.


Author(s):  
R. Rivera ◽  
J. E. Rosenbaum ◽  
W. Quispe

1AbstractDeaths are frequently under-estimated during emergencies, times when accurate mortality estimates are crucial for pandemic response and public adherence to non-pharmaceutical interventions. This study estimates excess all-cause, pneumonia, and influenza mortality during the COVID-19 health emergency using the June 12, 2020 release of weekly mortality data from the United States (U.S.) Mortality Surveillance Survey (MSS) from September 27, 2015 to May 9, 2020, using semiparametric and conventional time-series models in 9 states with high reported COVID-19 deaths and apparently complete mortality data: California, Colorado, Florida, Illinois, Massachusetts, Michigan, New Jersey, New York, and Washington. The May 9 endpoint was chosen due to apparently increased reporting lags in provisional mortality counts. We estimated greater excess mortality than official COVID-19 mortality in the U.S. (excess mortality 95% confidence interval (CI) (80862, 107284) vs. 78834 COVID-19 deaths) and 6 states: California (excess mortality 95% CI (2891, 5873) vs. 2849 COVID-19 deaths); Illinois (95% CI (4412, 5871) vs. 3525 COVID-19 deaths); Massachusetts (95% CI (5061, 6317) vs. 5050 COVID-19 deaths); New Jersey (95% CI (12497, 15307) vs. 10465 COVID-19 deaths); and New York (95% CI (30469, 37722) vs. 26584 COVID-19 deaths). Conventional model results were consistent with semiparametric results but less precise.Official COVID-19 mortality substantially understates actual mortality, suggesting greater case-fatality rates. Mortality reporting lags appeared to worsen during the pandemic, when timeliness in surveillance systems was most crucial for improving pandemic response.


2020 ◽  
Vol 148 ◽  
Author(s):  
R. Rivera ◽  
J. E. Rosenbaum ◽  
W. Quispe

Abstract Deaths are frequently under-estimated during emergencies, times when accurate mortality estimates are crucial for emergency response. This study estimates excess all-cause, pneumonia and influenza mortality during the coronavirus disease 2019 (COVID-19) pandemic using the 11 September 2020 release of weekly mortality data from the United States (U.S.) Mortality Surveillance System (MSS) from 27 September 2015 to 9 May 2020, using semiparametric and conventional time-series models in 13 states with high reported COVID-19 deaths and apparently complete mortality data: California, Colorado, Connecticut, Florida, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, Pennsylvania and Washington. We estimated greater excess mortality than official COVID-19 mortality in the U.S. (excess mortality 95% confidence interval (CI) 100 013–127 501 vs. 78 834 COVID-19 deaths) and 9 states: California (excess mortality 95% CI 3338–6344) vs. 2849 COVID-19 deaths); Connecticut (excess mortality 95% CI 3095–3952) vs. 2932 COVID-19 deaths); Illinois (95% CI 4646–6111) vs. 3525 COVID-19 deaths); Louisiana (excess mortality 95% CI 2341–3183 vs. 2267 COVID-19 deaths); Massachusetts (95% CI 5562–7201 vs. 5050 COVID-19 deaths); New Jersey (95% CI 13 170–16 058 vs. 10 465 COVID-19 deaths); New York (95% CI 32 538–39 960 vs. 26 584 COVID-19 deaths); and Pennsylvania (95% CI 5125–6560 vs. 3793 COVID-19 deaths). Conventional model results were consistent with semiparametric results but less precise. Significant excess pneumonia deaths were also found for all locations and we estimated hundreds of excess influenza deaths in New York. We find that official COVID-19 mortality substantially understates actual mortality, excess deaths cannot be explained entirely by official COVID-19 death counts. Mortality reporting lags appeared to worsen during the pandemic, when timeliness in surveillance systems was most crucial for improving pandemic response.


PEDIATRICS ◽  
1969 ◽  
Vol 44 (3) ◽  
pp. 467-468
Author(s):  
Bea J. van den Berg

This book, one in the series of "Vital and Health Statistics Monographs" of the American Public Health Association, is a well documented study of childhood mortality in the United States up to 1964. The data, supplemented by information from special studies, are mainly derived from vital statistics of the United States and upstate New York. Some 80 tables and figures in the text and about half this number in the Appendix review mortality data in different age periods from 1935 to 1964, with emphasis on comparison of the years around 1950 with those around 1960 in relation to such variables as sex, birth weight, ethnic group, cause of death, age of mother, parity, geographic area, and socioeconomic group.


PEDIATRICS ◽  
1981 ◽  
Vol 68 (6) ◽  
pp. 755-762
Author(s):  
Myron E. Wegman

Data for this article, as in previous reports,1 are drawn principally from the Monthly Vital Statistics Report,2-5 published by the National Center for Health Statistics. The international data come from the Demographic Yearbook6 and the quarterly Population and Vital Statistics Report,7 both published by the Statistical Office of the United Nations, which has also been kind enough to provide directly more recent data. Except for mortality data by cause and age, which are based on a 10% sample, all the United States data for 1980 are estimates by place of occurrence based upon a count of certificates received in state offices between two dates, one month apart, regardless of when the event occurred. Experience has shown that for the country as a whole the estimate is very close to the subsequent final figures. There are, however, considerable variations in a few of the states, particularly in comparing data by place of occurrence with data by place of residence. State information should be interpreted cautiously.


2010 ◽  
Vol 28 (15) ◽  
pp. 2625-2634 ◽  
Author(s):  
Malcolm A. Smith ◽  
Nita L. Seibel ◽  
Sean F. Altekruse ◽  
Lynn A.G. Ries ◽  
Danielle L. Melbert ◽  
...  

Purpose This report provides an overview of current childhood cancer statistics to facilitate analysis of the impact of past research discoveries on outcome and provide essential information for prioritizing future research directions. Methods Incidence and survival data for childhood cancers came from the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries, and mortality data were based on deaths in the United States that were reported by states to the Centers for Disease Control and Prevention by underlying cause. Results Childhood cancer incidence rates increased significantly from 1975 through 2006, with increasing rates for acute lymphoblastic leukemia being most notable. Childhood cancer mortality rates declined by more than 50% between 1975 and 2006. For leukemias and lymphomas, significantly decreasing mortality rates were observed throughout the 32-year period, though the rate of decline slowed somewhat after 1998. For remaining childhood cancers, significantly decreasing mortality rates were observed from 1975 to 1996, with stable rates from 1996 through 2006. Increased survival rates were observed for all categories of childhood cancers studied, with the extent and temporal pace of the increases varying by diagnosis. Conclusion When 1975 age-specific death rates for children are used as a baseline, approximately 38,000 childhood malignant cancer deaths were averted in the United States from 1975 through 2006 as a result of more effective treatments identified and applied during this period. Continued success in reducing childhood cancer mortality will require new treatment paradigms building on an increased understanding of the molecular processes that promote growth and survival of specific childhood cancers.


2005 ◽  
Vol 163 (2) ◽  
pp. 181-187 ◽  
Author(s):  
Jonathan Dushoff ◽  
Joshua B. Plotkin ◽  
Cecile Viboud ◽  
David J. D. Earn ◽  
Lone Simonsen

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