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Coordinating the real‐time use of global influenza activity data for better public health planning

CITE Title : Coordinating the real‐time use of global influenza activity data for better public health planning Personal Author(s) : Biggerstaff, Matthew;Dahlgren, Fredrick Scott;Fitzner, Julia;George, Dylan;Hammond, Aspen;Hall, Ian;Haw, David;Imai, Natsuko;Johansson, Michael A.;Kramer, Sarah;McCaw, James M.;Moss, Robert;Pebody, Richard;Read, Jonathan M.;Reed, Carrie;Reich, Nicholas G.;Riley, Steven;Vandemaele, Katelijn;Viboud, Cecile;Wu, Joseph T.; Published Date : December 03 2019;3-2020; Source : Influenza Other Respir Viruses. 14(2):105-110 URL : https://stacks.cdc.gov/view/cdc/89363 Biggerstaff, Matthew et al. (2019). Coordinating the real‐time use of global influenza activity data for better public health planning. 14(2). Biggerstaff, Matthew et al. "Coordinating the real‐time use of global influenza activity data for better public health planning" 14, no. 2 (2019) Biggerstaff, Matthew et al. "Coordinating the real‐time use of global influenza activity data for better public health planning" vol. 14, no. 2, 2019 Export RIS Citation Information.

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Biggerstaff, Matthew ;

Dahlgren, Fredrick Scott

December 03 2019 | Influenza Other Respir Viruses. 14(2):105-110

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Health planners from global to local levels must anticipate year-to-year and week-to-week variation in seasonal influenza activity when planning for a...
Predictive Utility of an Adapted Marshall Head-CT Classification Scheme After Traumatic Brain Injury

CITE Title : Predictive Utility of an Adapted Marshall Head-CT Classification Scheme After Traumatic Brain Injury Personal Author(s) : Brown, Allen W.;Pretz, Christopher R.;Bell, Kathleen R.;Hammond, Flora M.;Arciniegas, David B.;Bodien, Yelena G.;Dams-O’Connor, Kristen;Giacino, Joseph T.;Hart, Tessa;Johnson-Greene, Douglas;Kowalski, Robert G.;Walker, William C.;Weintraub, Alan;Zafonte, Ross; Published Date : January 19 2019 Source : Brain Inj. 33(5):610-617 URL : https://stacks.cdc.gov/view/cdc/77020 Brown, Allen W. et al. (2019). Predictive Utility of an Adapted Marshall Head-CT Classification Scheme After Traumatic Brain Injury. 33(5). Brown, Allen W. et al. "Predictive Utility of an Adapted Marshall Head-CT Classification Scheme After Traumatic Brain Injury" 33, no. 5 (2019) Brown, Allen W. et al. "Predictive Utility of an Adapted Marshall Head-CT Classification Scheme After Traumatic Brain Injury" vol. 33, no. 5, 2019 Export RIS Citation Information.

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Brown, Allen W. ;

Pretz, Christopher R.

January 19 2019 | Brain Inj. 33(5):610-617

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Objective:To study the predictive relationship among persons with traumatic brain injury (TBI) between an objective indicator of injury severity (the ...
Results from the second year of a collaborative effort to forecast influenza seasons in the United States

CITE Title : Results from the second year of a collaborative effort to forecast influenza seasons in the United States Personal Author(s) : Biggerstaff, Matthew;Johansson, Michael;Alper, David;Brooks, Logan C.;Chakraborty, Prithwish;Farrow, David C.;Hyun, Sangwon;Kandula, Sasikiran;McGowan, Craig;Ramakrishnan, Naren;Rosenfeld, Roni;Shaman, Jeffrey;Tibshirani, Rob;Tibshirani, Ryan J.;Vespignani, Alessandro;Yang, Wan;Zhang, Qian;Reed, Carrie; Published Date : February 24 2018 Source : Epidemics. 24:26-33 URL : https://stacks.cdc.gov/view/cdc/58380 Biggerstaff, Matthew et al. (2018). Results from the second year of a collaborative effort to forecast influenza seasons in the United States. 24 Biggerstaff, Matthew et al. "Results from the second year of a collaborative effort to forecast influenza seasons in the United States" 24 (2018) Biggerstaff, Matthew et al. "Results from the second year of a collaborative effort to forecast influenza seasons in the United States" vol. 24, 2018 Export RIS Citation Information.

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Biggerstaff, Matthew ;

Johansson, Michael

February 24 2018 | Epidemics. 24:26-33

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Accurate forecasts could enable more informed public health decisions. Since 2013, CDC has worked with external researchers to improve influenza forec...
Anomalous High Rainfall and Soil Saturation as Combined Risk Indicator of Rift Valley Fever Outbreaks, South Africa, 2008–2011

CITE Title : Anomalous High Rainfall and Soil Saturation as Combined Risk Indicator of Rift Valley Fever Outbreaks, South Africa, 2008–2011 Personal Author(s) : Williams, Roy;Malherbe, Johan;Weepener, Harold;Majiwa, Phelix;Swanepoel, Robert; Published Date : Dec 15 2016 Source : Emerg Infect Dis. 22(12):2054-2062. URL : https://stacks.cdc.gov/view/cdc/43418 Williams, Roy et al. (2016). Anomalous High Rainfall and Soil Saturation as Combined Risk Indicator of Rift Valley Fever Outbreaks, South Africa, 2008–2011. 22(12). Williams, Roy et al. "Anomalous High Rainfall and Soil Saturation as Combined Risk Indicator of Rift Valley Fever Outbreaks, South Africa, 2008–2011" 22, no. 12 (2016) Williams, Roy et al. "Anomalous High Rainfall and Soil Saturation as Combined Risk Indicator of Rift Valley Fever Outbreaks, South Africa, 2008–2011" vol. 22, no. 12, 2016 Export RIS Citation Information.

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Williams, Roy ;

Malherbe, Johan

Dec 15 2016 | Emerg Infect Dis. 22(12):2054-2062.

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Rift Valley fever (RVF), a zoonotic vectorborne viral disease, causes loss of life among humans and livestock and an adverse effect on the economy of ...