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Centers for Disease Control and Prevention |
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Flu Vaccine Effectiveness Info for Health Professionals |
Flu Vaccine Effectiveness - CDC |
| influenza infection | 0.364792 |
| trivalent influenza vaccine | 0.467822 |
| cold-adapted influenza vaccine | 0.414934 |
| influenza virus vaccine | 0.419263 |
| maternal influenza immunization | 0.352091 |
| inactivated influenza vaccines | 0.378168 |
| common influenza outcomes | 0.358226 |
| live attenuated influenza | 0.445303 |
| influenza vaccine efficacy | 0.50957 |
| observational studies | 0.422001 |
| influenza illness | 0.350351 |
| influenza vaccine | 0.927232 |
| symptomatic seasonal influenza | 0.311292 |
| antenatal influenza immunization | 0.312314 |
| dose influenza vaccine | 0.446682 |
| influenza virus infections | 0.386748 |
| influenza vaccination status | 0.36418 |
| licensed inactivated influenza | 0.335263 |
| vaccine effectiveness | 0.645849 |
| influenza vaccine effectiveness | 0.583249 |
| inactivated influenza vaccine | 0.676395 |
| annual influenza vaccination | 0.417038 |
| Laboratory-confirmed influenza virus | 0.341067 |
| consecutive influenza seasons | 0.321092 |
| culture-confirmed influenza | 0.330909 |
|
| live-attenuated influenza vaccines | 0.334825 |
| Infect Dis | 0.356587 |
| subunit influenza vaccines | 0.325151 |
| little influenza activity | 0.323198 |
| influenza disease | 0.340498 |
| influenza virus infection | 0.342128 |
| seasonal influenza vaccine | 0.430451 |
| laboratory-confirmed influenza | 0.442285 |
| trivalent inactivated influenza | 0.364343 |
| 2012-13 influenza seasons | 0.32646 |
| antigenically drifted influenza | 0.319065 |
| influenza vaccines | 0.482305 |
| influenza antigen | 0.309735 |
| B. Influenza Vaccine | 0.421294 |
| split-virus influenza vaccine | 0.424847 |
| Vero-cell-culture-derived trivalent influenza | 0.312381 |
| influenza vaccination | 0.690102 |
| New influenza infections | 0.336967 |
| influenza seasons | 0.392879 |
| influenza infections | 0.355724 |
| cell-based inactivated influenza | 0.334045 |
| H1N1 influenza pandemic | 0.31184 |
| influenza viruses | 0.452872 |
| et al | 0.46694 |
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Centers for Disease Control and Prevention |
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Tert-Butyl chromate - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Methoxyflurane - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7620 |
Centers for Disease Control and Prevention |
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Global Health - Kenya - Blog: Putting Nomadic Pastoralists on the Map |
null |
| existing data sources | 0.477779 |
| census data | 0.595299 |
| pastoralist movement | 0.408136 |
| civil conflict figure | 0.459282 |
| routine services | 0.41097 |
| Global Immunization Division | 0.522556 |
| clinical services | 0.408893 |
| culturally familiar context | 0.485946 |
| health care providers | 0.845629 |
| health care access | 0.532328 |
| previously unrecorded locations | 0.473307 |
| health care services | 0.696649 |
| health facilities | 0.446397 |
| mobile groups | 0.409157 |
| polio cases | 0.436477 |
| U.S. CDC-Kenya Office | 0.521608 |
| Google Earth imagery | 0.462723 |
| nomadic pastoralists | 0.627251 |
| polio surveillance | 0.430005 |
| Mobile populations | 0.41152 |
| urgent health needs | 0.542706 |
| Lab Training Program | 0.510338 |
| smaller livestock | 0.4116 |
| human health providers | 0.527118 |
| northern Nigeria | 0.553467 |
|
| Nigeria Field Epidemiology | 0.561963 |
| nomadic groups | 0.449644 |
| pastoralist children | 0.419023 |
| grazing area | 0.407524 |
| sedentary populations | 0.408977 |
| Health care systems | 0.572041 |
| pastoralist districts | 0.411192 |
| Nomads Project | 0.414115 |
| polio immunization coverage | 0.528422 |
| nomadic pastoralist tribes | 0.555785 |
| Kenyan agricultural expert | 0.469366 |
| traditional nomadic routes | 0.536573 |
| health care | 0.980386 |
| recurrent seasonal migration | 0.478801 |
| District Production Livestock | 0.478368 |
| health education opportunities | 0.521829 |
| KENYA BLOG | 0.462695 |
| polio virus | 0.439399 |
| veterinary health providers | 0.527543 |
| NGO partners | 0.408455 |
| grazing areas | 0.498164 |
| Dr. Chris Ajele | 0.469022 |
| public health challenge | 0.523774 |
| bilateral government | 0.408139 |
|
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Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory |
BRFSS 2008 - Table C6 Current Asthma Prevalence Rate (Percent) and Prevalence (Number) by Education and State or Territory |
| Total** HS Grad | 0.772752 |
| U.S. Total** HS | 0.980941 |
|
| Total** HS Nongrad | 0.801342 |
|
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| 10716 |
Centers for Disease Control and Prevention |
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University Reports and Verification of Findings'Pneumonic Plague' 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 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis: September 4, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| smoke causes | 0.496063 |
| Administered | 0.419267 |
| SIDS | 0.421945 |
| half | 0.415994 |
| United States | 0.492634 |
| laboratory workers | 0.547363 |
| nonsmoking adults | 0.506082 |
| respiratory problems | 0.49659 |
| smoke-free rules | 0.604658 |
| concern | 0.418593 |
| children | 0.415916 |
| Considerable progress | 0.504553 |
| U.S. DEPARTMENT | 0.48915 |
| HEALTH | 0.41552 |
| deaths | 0.419192 |
| laboratory biosafety recommendations | 0.702489 |
| U.S. homes | 0.508116 |
|
| current laboratory biosafety | 0.583778 |
| period | 0.417615 |
| adult smokers | 0.52897 |
| Reports | 0.415779 |
| Expired | 0.422007 |
| Exposure | 0.416836 |
| cigarette smokers | 0.534801 |
| U.S. households | 0.547198 |
| smoke-free home rules | 0.98217 |
| Anita Gore | 0.503907 |
| nonsmokers | 0.426793 |
| cdph.ca.gov | 0.416806 |
| HUMAN SERVICES | 0.491488 |
| decades | 0.419563 |
| CDC Media Relations | 0.608731 |
| Attenuated Influenza Vaccine | 0.589093 |
| national percentage | 0.636924 |
|
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Q&A’s about the Transport of Pediatric Patients (< 18years of age) Under Investigation or with Confirmed Ebola | EbolaHemorrhagic Fever | CDC |
null |
| CDC’s Waste | 0.623798 |
| group best-practice recommendations | 0.585995 |
| child restraint | 0.569156 |
| car seat | 0.836692 |
| durable medical equipment | 0.802274 |
| hospital-based transport teams | 0.69977 |
| PPE | 0.594361 |
| pediatric care | 0.573335 |
| agency’s car | 0.523824 |
| isolation transport units | 0.670099 |
| pediatric PUI | 0.721566 |
| pediatric transport | 0.910713 |
| appropriate CDC guidance | 0.601945 |
| waste management guidelines | 0.791863 |
| pediatric patients | 0.689674 |
| emergency medical services | 0.793669 |
| EMS agency | 0.670221 |
| Medical transport agencies | 0.691203 |
| ill child | 0.539961 |
| individual emergency | 0.528715 |
| standard ambulance cot | 0.598345 |
| medical equipment suppliers | 0.650822 |
| emergency ground ambulances | 0.591916 |
| Traffic Safety Administration | 0.578811 |
|
| medical services providers | 0.647673 |
| EMS transfer | 0.572233 |
| emergency medical technicians | 0.649367 |
| responder agencies | 0.523762 |
| personal protective equipment | 0.784734 |
| legal guardian | 0.615058 |
| law enforcement agencies | 0.651939 |
| safe pediatric transport | 0.751373 |
| EMS agencies | 0.770674 |
| EMS provider | 0.563452 |
| body fluids | 0.678782 |
| EMS units | 0.572323 |
| safe transport | 0.640874 |
| EMS systems | 0.599825 |
| Public Safety Answering | 0.624429 |
| transport vehicle | 0.562452 |
| decontamination team | 0.538756 |
| service agencies | 0.548261 |
| pediatric isolation transport | 0.895478 |
| advanced life support | 0.598222 |
| alternative adult caregiver | 0.667556 |
| equipment decontamination plan | 0.668355 |
| child | 0.712897 |
|
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Centers for Disease Control and Prevention |
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Antibiotic Resistant Gonorrhea |
Antibiotic-Resistant Gonorrhea - STD information from CDC. Fact Sheets, Statistics, Treatment Guidelines, Resources for Clinicians and Educators. |
| nation | 0.416557 |
| antimicrobial-resistant gonorrhea | 0.657371 |
| Healthcare Providers | 0.498872 |
| core actions | 0.491174 |
| antibiotic options | 0.595908 |
| navigation Skip | 0.581168 |
| research | 0.417388 |
| AR Investment Map | 0.595489 |
| Profiles | 0.416883 |
| AMD | 0.418659 |
| Antibiotic Resistance Solutions | 0.74133 |
| key investments | 0.499912 |
| Gonococcal Isolate Surveillance | 0.870094 |
| GISP | 0.431375 |
| development | 0.417374 |
| list Skip | 0.584612 |
| page options Skip | 0.681676 |
| Sites | 0.415945 |
| Neisseria gonorrhoeae | 0.64473 |
| antibiotic drugs | 0.614026 |
| gonococcal fluoroquinolone resistance | 0.795509 |
| drug resistance | 0.575355 |
| Basic Information | 0.507165 |
| Genomic sequencing | 0.498138 |
|
| gonorrhea | 0.775726 |
| United States | 0.565589 |
| Advanced Molecular Detection | 0.573663 |
| urgent threat | 0.503662 |
| foundation | 0.417982 |
| STD Treatment Guidelines | 0.580761 |
| new treatment regimens | 0.604921 |
| Antimicrobial Susceptibility Surveillance | 0.599459 |
| interactive tool | 0.502 |
| NCHHSTP Director | 0.500345 |
| lab information | 0.502775 |
| antibiotic resistance | 0.905991 |
| Blog | 0.416441 |
| Antibiotic-Resistant Gonorrhea | 0.683771 |
| emergence | 0.420183 |
| First-line Antibiotics | 0.526791 |
| Data | 0.417096 |
| spread | 0.416357 |
| resistant gonorrhea | 0.674756 |
| cephalosporin antibiotics | 0.53992 |
| Gonococcal Infections | 0.579174 |
| cephalosporin-resistant gonorrhea | 0.695489 |
| CDC report | 0.500229 |
| Antibiotic Resistance Threats | 0.731761 |
|
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E-cigarette Ads and Youth Infographics | VitalSigns |
CDC Vital Signs - E-cigarette Ads and Youth |
| U.S. High School | 0.520836 |
| brain development | 0.429714 |
| TV/movies | 0.267136 |
| TV | 0.2364 |
| U.S. Middle School | 0.52284 |
| e-cigarette advertisements | 0.56273 |
| School Students Overall | 0.530493 |
| high proportion | 0.409769 |
| high school students | 0.924476 |
| U.S. Middle | 0.656102 |
|
| newspapers | 0.242494 |
| e-cigarette advertising expenditures | 0.548301 |
| Magazines/newspapers | 0.266983 |
| ADDICTION | 0.242787 |
| U.S. youths | 0.394553 |
| continued tobacco product | 0.630421 |
| magazines | 0.237035 |
| Internet | 0.269418 |
| e-cigarette contain NIOTINE | 0.618334 |
| corresponding increases | 0.414243 |
|
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