Patterns of seasonal influenza activity in U.S. core-based statistical areas, described using prescriptions of oseltamivir in Medicare claims data

Epidemics - Tập 26 - Trang 23-31 - 2019
F. Scott Dahlgren1, David K. Shay1, Hector S. Izurieta2, Richard A. Forshee2, Michael Wernecke3, Yoganand Chillarige3, Yun Lu2, Jeffrey A. Kelman4, Carrie Reed1
1Centers for Disease Control and Prevention, National Center for Immunization and Respiratory Diseases, Influenza Division, Atlanta, GA, USA
2Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA
3Acumen LLC, Burlingame, CA, USA
4Centers for Medicare and Medicaid Services, Washington, DC, USA

Tài liệu tham khảo

Arizona Department of Health Services, 2016

Bangert, 2017, Pilot study to harmonize the reported influenza intensity levels within the Spanish influenza sentinel surveillance system (SISSS) using the moving epidemic method (MEM), Epidemiol. Infect., 145, 715, 10.1017/S0950268816002727

Biggerstaff, 2017, Systematic assessment of multiple routine and near-real time indicators to classify the severity of influenza seasons and pandemics in the United States, 2003–04 through 2015–2016, Am. J. Epidemiol., 187, 1040, 10.1093/aje/kwx334

Charrad, 2014, NbClust: an R package for determining the relevant number of clusters in a data set, J. Stat. Softw., 61, 10.18637/jss.v061.i06

Charu, 2017, Human mobility and the spatial transmission of influenza in the United States, PLoS Comput. Biol., 13, 10.1371/journal.pcbi.1005382

Cohen, 1968, Weighted kappa: nominal scale agreement with provision for scaled disagreement or partial credit, Psychol. Bull., 70, 213, 10.1037/h0026256

Cryer, 2010

Dahlgren, 2018, Evaluating oseltamivir prescriptions in Centers for Medicare and Medicaid Services medical claims records as an indicator of seasonal influenza in the United States, Influenza Other Respir. Viruses, 12, 465, 10.1111/irv.12552

Davlin, 2016, Influenza activity—United States, 2015–16 season and composition of the 2016–17 influenza vaccine, MMWR Morb. Mortal Wkly. Rep., 65, 567, 10.15585/mmwr.mm6522a3

de Mendoza, 1797, Recherches sur les principaux problèmes de l’astronomie nautique, Philos. Trans. R. Soc. Lond., 87, 43, 10.1098/rstl.1797.0004

Ganatra, 2012, Update: influenza activity — United States, 2011–12 season and composition of the 2012–13 influenza vaccine, MMWR Morb. Mortal Wkly. Rep., 61, 414

Garten, 2018, Update: influenza activity in the United States during the 2017–18 season and composition of the 2018–19 influenza vaccine, MMWR Morb. Mortal Wkly. Rep., 67, 634, 10.15585/mmwr.mm6722a4

Gittleman, 1990, Adaption: statistics and a null model for estimating phylogenetic effects, Syst. Zool., 39, 227, 10.2307/2992183

Glezen, 1982, Serious morbidity and mortality associated with influenza epidemics, Epidemiol. Rev., 4, 25, 10.1093/oxfordjournals.epirev.a036250

Glezen, 1980, Epidemiologic observations of influenza B virus infections in Houston, Texas, 1976–1977, Am. J. Epidemiol., 111, 13, 10.1093/oxfordjournals.aje.a112865

Gotway, 2002, Combining incompatible spatial data, J. Am. Stat. Assoc., 97, 632, 10.1198/016214502760047140

Izurieta, 2015, Comparative effectiveness of high-dose versus standard-dose influenza vaccines in US residents aged 65 years and older from 2012 to 2013 using Medicare data: a retrospective cohort analysis, Lancet Infect. Dis., 15, 293, 10.1016/S1473-3099(14)71087-4

Kruskal, 1952, Use of ranks in one-criterion variance analysis, J. Am. Stat. Assoc., 47, 583, 10.1080/01621459.1952.10483441

Landis, 1977, The measurement of observer agreement for categorical data, Biometrics, 33, 159, 10.2307/2529310

Lee, 2018, Deploying digital health data to optimize influenza surveillance at national and local scales, PLoS Comput. Biol., 14, e1006020, 10.1371/journal.pcbi.1006020

Levene, 1960, Contributions to probability and statistics, 278

Office of Management and Budget, 2015

Podobnik, 2010, Time-lag cross-correlations in collective phenomena, Europhys. Lett., 90, 68001-p1, 10.1209/0295-5075/90/68001

Reed, 2015, Estimating influenza disease burden from population-based surveillance data in the United States, PLoS One, 10, 10.1371/journal.pone.0118369

U.S. Census Bureau, 2016, Population division

U.S. Department of Commerce, U.S. Census Bureau, Geography Division/Cartographic Products Branch, 2010. 2010 Cartographic Boundary File, State-County for United States, 1:500,000.

U.S. Geological Survey, 2006, Instituto Nacional de Estadística Geografía e Informática, Government of Canada, Natural Resources Canada, Canada Centre for Remote Sensing, The Atlas of Canada

Vega, 2013, Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method, Influenza Other Respir. Viruses, 7, 546, 10.1111/j.1750-2659.2012.00422.x

Viboud, 2006, Synchrony, waves, and spatial hierarchies in the spread of influenza, Science, 312, 447, 10.1126/science.1125237

Viboud, 2014, Demonstrating the use of high-volume electronic medical claims data to monitor local and regional influenza activity in the US, PLoS One, 9, 10.1371/journal.pone.0102429

Ward, 1963, Hierarchical grouping to optimize an objective function, J. Am. Stat. Assoc., 58, 236, 10.1080/01621459.1963.10500845

Yang, 2016, Forecasting influenza outbreaks in boroughs and neighborhoods of New York City, PLoS Comput. Biol., 12, 10.1371/journal.pcbi.1005201