| 6897 |
Centers for Disease Control and Prevention |
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Antibodies Cross-Reactive to Influenza A H3N2 Variant Virus and Impact of 2010-11 Seasonal Influenza Vaccine on Cross-Reactive Antibodies - United States |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| red blood cells | 0.500766 |
| cross-reactive antibody rates | 0.421188 |
| TIV study | 0.518658 |
| infection | 0.402236 |
| hemagglutination inhibition | 0.391681 |
| influenza infection | 0.377332 |
| trivalent influenza vaccine | 0.50576 |
| United States | 0.433785 |
| cross-reactive antibody response | 0.415077 |
| TIV study sera | 0.411556 |
| age group | 0.506401 |
| adults | 0.419574 |
| human influenza viruses | 0.545124 |
| prevaccination antibody | 0.37707 |
| HI titers | 0.787179 |
| inhibition antibody titers | 0.467973 |
| minimal cross-reactive antibodies | 0.404623 |
| MN titers т‰Ѕ80 | 0.45921 |
| institutional review board | 0.409162 |
| sustained human-to-human transmission | 0.403975 |
| seasonal influenza viruses | 0.547506 |
| novel reassortant influenza | 0.390541 |
| children | 0.620346 |
|
| postvaccination HI titers | 0.473276 |
| seasonal influenza vaccine | 0.726023 |
| adult populations | 0.386921 |
| cross-reactive antibody | 0.884157 |
| H3N2v vaccine | 0.443153 |
| influenza vaccine | 0.734194 |
| cross-reactive antibodies | 0.935453 |
| vaccine virus specific | 0.510252 |
| TIV study serum | 0.444989 |
| vaccine component | 0.405123 |
| serum samples | 0.524112 |
| age groups | 0.537233 |
| influenza vaccination | 0.379565 |
| MN titers | 0.673691 |
| cross-reactive antibody levels | 0.522257 |
| human infections | 0.387693 |
| inactivated influenza vaccine | 0.448777 |
| influenza viruses | 0.62653 |
| Serum HI titers | 0.522523 |
| older children | 0.386216 |
| et al | 0.454355 |
| MN antibody | 0.415224 |
| human infection | 0.375589 |
|
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| 7914 |
Centers for Disease Control and Prevention |
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Global Health - Nigeria - Polio |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 10710 |
Centers for Disease Control and Prevention |
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Nuclear Weapons' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 10855 |
Centers for Disease Control and Prevention |
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CDC Online Newsroom - Press Release - Gradual drop in youthtobacco use continues, but significant problem areas remain |
West Nile virus disease cases up this year |
| high school | 0.941562 |
| Hispanic high school | 0.448704 |
| Mortality Weekly Report | 0.424452 |
| nation’s youth | 0.364958 |
| youth tobacco | 0.477512 |
| direct health care | 0.411185 |
| high school males | 0.697271 |
| Disease Control | 0.372747 |
| Youth Risk Behavior | 0.434667 |
| tobacco | 0.746818 |
| cigarette-like cigars | 0.365982 |
| tobacco smoke | 0.469675 |
| High School Students—United | 0.452522 |
| hard-hitting mass media | 0.411564 |
| MMWR report | 0.369097 |
| tobacco products | 0.495941 |
| typical cigarettes | 0.366563 |
| black high school | 0.462283 |
| state-specific tobacco data | 0.512832 |
| health protection agency | 0.411749 |
| CDC Director Thomas | 0.423597 |
| middle school students | 0.441461 |
| long-term studies | 0.368316 |
| chronic health conditions | 0.40937 |
| percent | 0.53799 |
|
| key steps | 0.368894 |
| good news | 0.362863 |
| cigarette smoking | 0.369994 |
| steep rate | 0.369922 |
| slow decline | 0.380744 |
| middle school | 0.531417 |
| Current Tobacco | 0.477611 |
| middle school females | 0.460849 |
| evidence-based tobacco control | 0.51975 |
| 11-year downward trend | 0.425965 |
| visit CDC | 0.363242 |
| tobacco product | 0.534047 |
| overall decline | 0.369797 |
| adverse reproductive effects | 0.404416 |
| American middle school | 0.461231 |
| R. Frieden | 0.365786 |
| high school students | 0.724162 |
| high school females | 0.621916 |
| middle school males | 0.469938 |
| Surgeon General | 0.428687 |
| low tar | 0.363145 |
| State Tobacco Activities | 0.5107 |
| smokeless tobacco | 0.483658 |
| report | 0.441654 |
|
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| 11603 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Using Community Advisory Boards to Reduce Environmental Barriers to Health in American Indian Communities, Wisconsin, 2007"2012 - CDC |
American Indian communities have a high prevalence of chronic diseases including diabetes, obesity, cardiovascular disease, and cancer. Innovative community-based approaches are needed to identify, prioritize, and create sustainable interventions to reduce environmental barriers to healthy lifestyles and ultimately improve health. |
| community members | 0.281196 |
| current CAB members | 0.439094 |
| CAB membership | 0.377377 |
| CAB networking | 0.354427 |
| CAB members | 0.753035 |
| Bad River | 0.253961 |
| CAB function | 0.358087 |
| Monthly CAB meetings | 0.396688 |
| CAB approval | 0.373288 |
| additional community members | 0.256286 |
| CAB operation | 0.373211 |
| facilitator | 0.262799 |
| CABs | 0.453853 |
| various community members | 0.257725 |
| Reduce Environmental Barriers | 0.282768 |
| american indian communities | 0.376744 |
| CAB interventions | 0.540813 |
| CAB mission | 0.337155 |
| healthy lifestyles | 0.328101 |
| CAB operations | 0.389203 |
| new members | 0.310684 |
| Wisconsin tribal communities | 0.253436 |
| brief CAB overview | 0.360808 |
| CAB initiatives | 0.358076 |
|
| Menominee CAB | 0.349605 |
| individual tribal community | 0.262125 |
| CAB’s history | 0.369054 |
| new CAB members | 0.408092 |
| primary CAB activities | 0.373688 |
| CAB | 0.94312 |
| environmental barriers | 0.745481 |
| tribal communities | 0.288825 |
| CAB activities | 0.458269 |
| CAB visibility | 0.338975 |
| community | 0.469556 |
| community engagement | 0.30463 |
| community advisory board | 0.293206 |
| CAB work | 0.536188 |
| community advisory boards | 0.369264 |
| CAB’s help | 0.367917 |
| tribal meetings | 0.27343 |
| community health | 0.262952 |
| foster CAB success | 0.366272 |
| Successful CAB interventions | 0.456539 |
| CAB success | 0.366833 |
| CAB meetings | 0.563636 |
| Building CAB | 0.38426 |
|
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| 12890 |
Centers for Disease Control and Prevention |
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Trucker Safety infographic |
CDC Vital Signs - Trucker Safety |
| hands | 0.334191 |
| handheld cell | 0.686562 |
| adequate rest | 0.505628 |
| rating | 0.339799 |
| Highway Traffic Safety | 0.660444 |
| wheel Examples | 0.48705 |
| DROWSY DRIVING | 0.547578 |
| effective way | 0.509216 |
| TEXT MESSAGING | 0.492594 |
| trip | 0.334442 |
| road | 0.365819 |
| pounds | 0.34371 |
| truck drivers | 0.856102 |
| state | 0.335945 |
| dispatcher | 0.343222 |
| deaths | 0.336928 |
| employers | 0.494144 |
| Tractor trailer rig | 0.708021 |
| passengers | 0.334736 |
| law | 0.335891 |
| NIOSH | 0.346842 |
| text message | 0.491529 |
| Tow truck | 0.554057 |
| Large trucks | 0.539391 |
| violation | 0.348038 |
|
| SOURCE | 0.408526 |
| survey | 0.335254 |
| Federal Highway Administration | 0.697908 |
| Safety Administration | 0.650066 |
| speed limit | 0.51692 |
| Dump truck | 0.761695 |
| Accident Analysis | 0.489169 |
| distractions | 0.346463 |
| eyes | 0.370815 |
| Motor Carrier Safety | 0.666094 |
| Occupational Safety | 0.518087 |
| gross vehicle weight | 0.739255 |
| Ambulance | 0.340306 |
| good sleep | 0.500191 |
| map | 0.333656 |
| National Institute | 0.508479 |
| safety programs | 0.508178 |
| health | 0.369779 |
| written safety program | 0.70537 |
| Sleep-deprived people | 0.540709 |
| seat belt | 0.978858 |
| 10 mph | 0.526069 |
| time | 0.367175 |
| handheld cell phones | 0.660241 |
|
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| 12958 |
Centers for Disease Control and Prevention |
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Notes from the Field: Multistate Outbreak of HumanSalmonella Infections Linked to Live Poultry from a Mail-OrderHatchery in Ohio - February-October 2014 |
Colin Basler, DVM1,2, Tony M. Forshey, DVM3, Kimberly Machesky, MPH4, C. Matthew Erdman, DVM, PhD5, Thomas M. |
| Denise L. Brinson | 0.450441 |
| poultry flock owners | 0.551918 |
| outbreak strains | 0.330903 |
| live poultry purchase | 0.604071 |
| Casey Barton Behravesh | 0.435431 |
| U.S. Department | 0.316453 |
| environmental contamination | 0.382251 |
| direct contact | 0.412355 |
| Comprehensive Salmonella prevention | 0.478975 |
| Zoonotic Infectious Diseases | 0.408523 |
| ill persons | 0.84126 |
| Salmonella transmission | 0.377142 |
| foodborne disease surveillance | 0.44115 |
| Stacey Bosch | 0.332453 |
| Kimberly Machesky | 0.330777 |
| C. Matthew Erdman | 0.443148 |
| live poultry-associated salmonellosis | 0.459262 |
| animal health officials | 0.394294 |
| 4Ohio Department | 0.314401 |
| illness onset | 0.453156 |
| 1Epidemic Intelligence Service | 0.396617 |
| United States | 0.320199 |
| single investigation | 0.325959 |
| associated breeder farms | 0.397669 |
| Colin Basler | 0.460432 |
|
| Best Management Practices | 0.39927 |
| supplemental information | 0.327059 |
| Salmonella infection outbreaks | 0.532803 |
| human Salmonella infections | 0.536585 |
| Ohio hatchery | 0.348124 |
| 3Ohio Department | 0.314525 |
| chick exposure | 0.32239 |
| Salmonella serotypes Infantis | 0.509926 |
| live poultry contact | 0.624757 |
| future outbreaks | 0.362226 |
| Thai-An Nguyen | 0.332891 |
| Author affiliations | 0.328837 |
| single mail-order hatchery | 0.671014 |
| 5US Department | 0.314277 |
| Thomas M. Gomez | 0.445057 |
| Tony M. Forshey | 0.436974 |
| additional educational information | 0.407237 |
| illness prevention | 0.324696 |
| National Poultry Improvement | 0.552665 |
| national molecular subtyping | 0.450917 |
| live poultry | 0.958523 |
| live poultry exposure | 0.620226 |
| mail-order hatcheries | 0.348463 |
| zoonotic Salmonella outbreaks | 0.537048 |
|
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| 13022 |
Centers for Disease Control and Prevention |
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Use of 9-Valent Human Papillomavirus HPV Vaccine: UpdatedHPV Vaccination Recommendations of the Advisory Committee onImmunization Practices |
Emiko Petrosky, MD1,2, Joseph A. Bocchini Jr, MD3, Susan Hariri, PhD2, Harrell Chesson, PhD2, C. Robinette Curtis, MD4, Mona Saraiya, MD5, Elizabeth R. |
| 9-valent HPV vaccine | 0.612105 |
| clinical development program | 0.514816 |
| hpv vaccine | 0.904175 |
| HPV vaccination | 0.631622 |
| cervical precancers | 0.475427 |
| United States | 0.534957 |
| HPV vaccine types | 0.753046 |
| available HPV vaccine | 0.620409 |
| contains HPV | 0.571852 |
| HPV types | 0.556352 |
| routine HPV vaccination | 0.603603 |
| additional types | 0.520633 |
| quadrivalent HPV vaccine | 0.695364 |
| vaccine dose | 0.480978 |
| ACIP HPV Work | 0.60743 |
| intraepithelial neoplasia grade | 0.580624 |
| HPV natural history | 0.575063 |
| meningococcal conjugate vaccine | 0.509549 |
| advisory committee | 0.495543 |
| HPV vaccine product | 0.639527 |
| vaccination series | 0.515018 |
| group | 0.508451 |
| 3-dose series | 0.494201 |
|
| vaccine duration | 0.479116 |
| vaccine group | 0.493278 |
| females | 0.675598 |
| cervical cancer screening | 0.559642 |
| vaccine component | 0.476931 |
| Vaccine Adverse Event | 0.502307 |
| adolescent females | 0.483544 |
| cervical cancers | 0.495153 |
| males | 0.623177 |
| adverse events | 0.517527 |
| HPV-associated cancers | 0.49505 |
| Work Group | 0.494605 |
| clinical trial data | 0.516664 |
| cervical intraepithelial neoplasia | 0.480623 |
| ACIP HPV Vaccine | 0.695784 |
| HPV infection | 0.557432 |
| ACIP recommendations | 0.48432 |
| vaccine coverage | 0.480013 |
| HPV vaccines | 0.676818 |
| Bivalent HPV vaccine | 0.656815 |
| ACIP members | 0.475498 |
| vaccine schedule | 0.477462 |
| Work Group discussions | 0.474184 |
|
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| 13940 |
Centers for Disease Control and Prevention |
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How to Add the CDC Flu RSS Feed | Seasonal Influenza (Flu) |
How to Add the CDC Flu RSS Feed - CDC |
| Influenza Diagnostic Testing | 0.344034 |
| Flu Illness | 0.46387 |
| CDC Flu Website. | 0.522981 |
| Flu Viruses | 0.514345 |
| Flu Vaccines | 0.702712 |
| Influenza Testing Results | 0.387295 |
| Flu Good Health | 0.515266 |
| Influenza Viruses | 0.383896 |
| Seasonal Influenza Vaccine | 0.618221 |
| Quadrivalent Influenza Vaccine | 0.511525 |
| Flu Adults | 0.475948 |
| Flu Activity | 0.466224 |
| Influenza Pandemic Virus | 0.358139 |
| Flu Vaccine | 0.943704 |
| (Flu) | 0.761175 |
| Influenza Types | 0.338898 |
| ) Vaccination | 0.57199 |
| Influenza Vaccines | 0.422993 |
| United States Flu | 0.49875 |
| Vaccine Safety Vaccine | 0.445647 |
| Influenza Viruses Types | 0.378976 |
| Flublok Seasonal Influenza | 0.382804 |
| Vaccination Flu Vaccination | 0.554252 |
| High-Dose Seasonal Influenza | 0.38452 |
| Weekly U.S. Influenza | 0.349001 |
|
| Control Influenza Transmission | 0.325858 |
| Flu Antiviral Drugs | 0.702858 |
| Flu | 0.990509 |
| CDC International Flu | 0.539936 |
| Prevent Flu Preventive | 0.501938 |
| Influenza Surveillance | 0.312876 |
| Seasonal Flu | 0.511429 |
| Flu Vaccine Recommendation | 0.636353 |
| Flu Treatment | 0.483519 |
| Flu RSS Feed | 0.648025 |
| Influenza Vaccination Clinic | 0.364871 |
| weekly Influenza Newsletters | 0.32181 |
| Flu News | 0.424453 |
| CDC Flu RSS | 0.726462 |
| Flu Complications | 0.447415 |
| Flu Season Flu | 0.96294 |
| Diagnosis Flu Symptoms | 0.506631 |
| Flu Vaccine Safety | 0.716998 |
| Cell-Based Flu Vaccines | 0.554929 |
| Flu Season Current | 0.528872 |
| Flu Vaccines Work | 0.566137 |
| Influenza Vaccine Doses | 0.506566 |
| Past Flu Seasons | 0.506205 |
| Influenza 2015-2016 Season | 0.372888 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field: Evidence of Zika Virus Infection inBrain and Placental Tissues from Two Congenitally Infected Newbornsand Two Fetal Losses - Brazil, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| histopathologic evaluation | 0.406609 |
| active infection | 0.36741 |
| Human Services | 0.373735 |
| Zika virus | 0.951108 |
| U.S. Department | 0.373778 |
| normal-appearing chorionic villi | 0.403596 |
| MMWR Early Release | 0.402297 |
| electronic PDF version | 0.377795 |
| Brazil | 0.381113 |
| Americas.* Infection | 0.37405 |
| Zoonotic Infectious Diseases | 0.38005 |
| gestational placental tissue | 0.401587 |
| significant histopathologic changes | 0.398551 |
| FFPE tissues samples | 0.42826 |
| formalin-fixed specimens | 0.377019 |
| brain tissues | 0.384946 |
| Brazil Ministry | 0.367823 |
| dengue virus | 0.404204 |
| perivillous fibrin deposition | 0.38125 |
| Zika virus disease | 0.467548 |
| Zika virus strains | 0.457294 |
| Diseases Pathology Branch | 0.381527 |
| fetal losses | 0.358311 |
| autopsy tissues | 0.425407 |
| preferred tissues | 0.376243 |
|
| Federal University | 0.373079 |
| Aedes aegypti mosquitoes | 0.399163 |
| Rio Grande | 0.449211 |
| fetal tissues | 0.388556 |
| preferred sample type | 0.3783 |
| original MMWR paper | 0.381691 |
| Histopathologic findings | 0.361825 |
| placental tissues | 0.42709 |
| Zika virus infection | 0.784843 |
| chorionic villi | 0.443523 |
| 6Arboviral Diseases Branch | 0.380728 |
| RT-PCR assays | 0.374152 |
| miscarriages | 0.375498 |
| clinical signs | 0.381611 |
| early miscarriages | 0.37057 |
| transcription-polymerase chain reaction | 0.382885 |
| newborns | 0.3545 |
| Roosecelis Brasil Martines | 0.380214 |
| tissue samples | 0.354777 |
| heterogeneous chorionic villi | 0.403253 |
| brain anomalies | 0.355879 |
| polyclonal anti-Zika virus | 0.441729 |
| brain tissue | 0.35875 |
| postmortem viral diagnosis | 0.381888 |
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