| 4444 |
Centers for Disease Control and Prevention |
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Influenza (Flu) References and Resources |
Flu References and Resources for Health Professionals - CDC |
| APHIS coordinates efforts | 0.548089 |
| influenza vaccine | 0.632906 |
| avian species | 0.32964 |
| Veterinary Services | 0.434902 |
| influenza A viruses | 0.644599 |
| Association Annual Meeting | 0.411998 |
| U.S. Department | 0.247296 |
| influenza infections | 0.757421 |
| Southeast Poultry Research | 0.417072 |
| avian influenza research | 0.895879 |
| exotic animal diseases | 0.438416 |
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| U.S. Animal Health | 0.428442 |
| pathogenic avian influenza | 0.976183 |
| critical role | 0.223679 |
| news releases | 0.248188 |
| NIAID fact sheets | 0.590597 |
| Infectious Diseases | 0.282349 |
| supports research | 0.277765 |
| federal agencies | 0.245719 |
| Plant Health Inspection | 0.446656 |
| better ways | 0.2682 |
| National Institute | 0.273616 |
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| 4854 |
Centers for Disease Control and Prevention |
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Science Clips - Monday, November 22, 2010 |
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| H1N1 influenza vaccine | 0.780021 |
| Clin Nutr. | 0.779543 |
| non-metal mining facilities | 0.830269 |
| Perinatal HIV infection | 0.775519 |
| theater-based HIV prevention | 0.796097 |
| pandemic H1N1 influenza | 0.787804 |
| Ann Occup Hyg. | 0.930751 |
| CDC Science Clips | 0.874674 |
| cancer control programs | 0.785241 |
| new weekly digest | 0.773118 |
| underground non-metal mining | 0.830277 |
| additive risk models | 0.777415 |
| breast cancer treatment | 0.774165 |
| pandemic influenza virus | 0.780311 |
| Chief Science Officer | 0.779445 |
| Lubin JH | 0.778681 |
| miners study | 0.825845 |
| Clin Infect Dis. | 0.799088 |
| Stewart PA | 0.820136 |
| public health practice | 0.789474 |
| Nov | 0.868082 |
| Coble JB | 0.833376 |
| successful colorectal cancer | 0.776757 |
| 2009 pandemic | 0.774945 |
| Stephen B. Thacker | 0.839309 |
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| rotavirus structural components | 0.772011 |
| swine H1N1 influenza | 0.778112 |
| Clin Perinatol. | 0.888346 |
| health insurance design | 0.784485 |
| Silverman DT | 0.831235 |
| functional antibody activity | 0.769311 |
| diesel exhaust | 0.844545 |
| Clin J Sport | 0.784092 |
| Kourtis AP | 0.801433 |
| HIV drug resistance | 0.772325 |
| high-risk male adolescents | 0.771526 |
| mother-to-child transmission | 0.794818 |
| H1N1 influenza | 0.797925 |
| Kuzara JL | 0.771883 |
| public health literature | 0.771604 |
| B. Thacker CDC | 0.865296 |
| Prev Med. | 0.775154 |
| emergency medical service | 0.772032 |
| HIV prevention interventions | 0.783556 |
| Clin Vaccine Immunol. | 0.816517 |
| West Nile virus | 0.773718 |
| et al | 0.836667 |
| Human monoclonal antibodies | 0.774426 |
| Thacker CDC Library | 0.865286 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, September 28, 2009 |
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| Family-based treatment | 0.473854 |
| endorsement | 0.451382 |
| emergency medicine | 0.475155 |
| current awareness | 0.468746 |
| findings | 0.420673 |
| Beach MJ | 0.476602 |
| Disease Control | 0.468028 |
| CDC Knowledge | 0.641153 |
| Action Science Clips | 0.954569 |
| factual accuracy | 0.46825 |
| results | 0.43492 |
| new weekly digest | 0.551898 |
| Melanoma epidemic | 0.473508 |
| Chief Science Officer | 0.548538 |
| possible biomarker | 0.477322 |
| SEER registry reports | 0.544051 |
| midsummer night | 0.472158 |
| article | 0.418662 |
| cancer screening decisions | 0.5362 |
| DHHS | 0.485069 |
| booster dose | 0.472814 |
| medical decisions | 0.479214 |
| public domain | 0.478039 |
| Stephen B. Thacker | 0.679444 |
| items | 0.426852 |
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| core principles | 0.474275 |
| carcinogenic potential | 0.477258 |
| Antibody levels | 0.474569 |
| national survey | 0.470649 |
| 22-year follow-up study | 0.542643 |
| severe pediatric obesity | 0.524175 |
| views | 0.419262 |
| beta-Ionone reactions | 0.470415 |
| double strand breaks | 0.531716 |
| hepatitis B vaccine | 0.472078 |
| informational purposes | 0.462671 |
| public health literature | 0.526824 |
| Yoder JS | 0.480465 |
| B. Thacker CDC | 0.781065 |
| cancer receptor status | 0.544025 |
| pathology laboratory | 0.474156 |
| original authors | 0.469833 |
| non-CDC Websites | 0.468268 |
| Climate change | 0.471659 |
| Mol Cancer. | 0.483063 |
| original sources | 0.480172 |
| gas-phase products | 0.47872 |
| news sources | 0.470758 |
| titanium dioxide | 0.471295 |
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Centers for Disease Control and Prevention |
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Lost Opportunities for Smoking Cessation Among Adults With Diabetes in Florida (2007) and Maryland (2006) |
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| smoking rates | 0.529584 |
| smoking cessation interventions | 0.52479 |
| data | 0.53097 |
| Risk Factor Surveillance | 0.493551 |
| diabetes smoke | 0.547878 |
| smoking cessation skills | 0.524487 |
| noninstitutionalized Maryland adults | 0.496655 |
| current smokers | 0.669294 |
| Maryland College Park | 0.489051 |
| undiagnosed diabetes | 0.547968 |
| current smoking | 0.516852 |
| non-hispanic white adults | 0.518216 |
| dentists | 0.544321 |
| non-Hispanic black adults | 0.49436 |
| smoking interventions | 0.481921 |
| Tammie M. Johnson | 0.496093 |
| Florida | 0.56974 |
| smoking cessation training | 0.526234 |
| Tobacco Callback Survey | 0.500572 |
| dentist | 0.484007 |
| smoking intervention | 0.498513 |
| smoking cessation | 0.858931 |
| smoking cessation activities | 0.539903 |
| smoking prevention | 0.486452 |
| survey | 0.503868 |
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| Behavioral Risk Factor | 0.493623 |
| Maryland | 0.600016 |
| adult current smokers | 0.50791 |
| smoking cessation advice | 0.784874 |
| oral health professionals | 0.570487 |
| self-reported diabetes diagnosis | 0.53708 |
| adults | 0.693346 |
| Lisa A. Bethune | 0.491971 |
| state telephone surveys | 0.501293 |
| incorporate smoking cessation | 0.525171 |
| Factor Surveillance Survey | 0.501114 |
| Maryland Adult Tobacco | 0.511929 |
| Current smoking rates | 0.507092 |
| non-Hispanic blacks | 0.484792 |
| Adult Tobacco Survey | 0.500586 |
| non-Hispanic whites | 0.52936 |
| health care | 0.584187 |
| borderline diabetes | 0.528542 |
| Diabetes organizations | 0.570557 |
| higher smoking rates | 0.521015 |
| Florida Tobacco Callback | 0.507642 |
| diabetes complications | 0.568344 |
| Florida Behavioral Risk | 0.510602 |
| diabetes management | 0.515012 |
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| 8401 |
Centers for Disease Control and Prevention |
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Fact Sheets - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
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| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
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| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
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Centers for Disease Control and Prevention |
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New CDC Vital Signs: Alcohol Screening and Counseling | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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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| 10300 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Challenges in Meeting Healthy People 2020 Objectives for Cancer-Related Preventive Services, National Health Interview Survey, 2008 and 2010 - CDC |
Healthy People (HP) is the US program that formulates and tracks national health objectives for the nation. The National Health Interview Survey (NHIS) is a designated data source for setting and evaluating several HP targets in cancer. We used data from the 2008 and 2010 NHIS to provide a benchmark for national performance toward meeting HP 2020 cancer-related objectives. |
| non-Hispanic Asians | 0.487025 |
| health insurance | 0.874832 |
| health care provider | 0.582445 |
| HP | 0.559491 |
| overall population | 0.495675 |
| National Health Interview | 0.620282 |
| private health insurance | 0.541061 |
| health insurance status | 0.539457 |
| health care reform | 0.498656 |
| colorectal cancer screening | 0.709654 |
| HP cancer control | 0.497516 |
| health care providers | 0.485156 |
| health care access | 0.619678 |
| health insurance coverage | 0.672713 |
| ovarian cancer | 0.543561 |
| HP cancer goals | 0.495401 |
| cervical cancer screening | 0.588712 |
| Health Interview Survey | 0.622622 |
| public health insurance | 0.516104 |
| Affordable Care Act | 0.484674 |
| healthy people | 0.526417 |
| cancer genetic counseling | 0.484498 |
| preventive health services | 0.505893 |
| usual source | 0.811946 |
| women | 0.544457 |
|
| NHIS | 0.555291 |
| Prostate cancer screening | 0.505033 |
| clinical health care | 0.501168 |
| cancer screening | 0.997731 |
| proportion | 0.485308 |
| United States | 0.537443 |
| Cancer Epidemiol Biomarkers | 0.555535 |
| provider counseling | 0.580882 |
| percentage points | 0.730041 |
| genetic counseling | 0.57685 |
| cancer screening rates | 0.531932 |
| national health objectives | 0.495303 |
| health services | 0.521002 |
| National Cancer Institute | 0.529519 |
| Epidemiol Biomarkers Prev | 0.540726 |
| health care | 0.70175 |
| public health | 0.608348 |
| breast cancer screening | 0.568043 |
| HP objectives | 0.537624 |
| cancer screening tests | 0.586363 |
| Klabunde CN | 0.490758 |
| primary care | 0.494984 |
| blood stool test | 0.527207 |
| preventive services | 0.525774 |
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Centers for Disease Control and Prevention |
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Ebola Virus Disease Cases Among Health Care Workers NotWorking in Ebola Treatment Units - Liberia, June-August,2014 |
On November 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| adequate infection control | 0.512116 |
| Ebola virus exposure | 0.526423 |
| ebola virus | 0.705898 |
| Ebola symptoms | 0.452152 |
| county health officials | 0.427616 |
| Social Welfare | 0.460501 |
| HCWs | 0.61207 |
| largest Ebola virus | 0.511392 |
| health care facility | 0.400434 |
| personal protective equipment | 0.39742 |
| health facilities | 0.556806 |
| HCW clusters | 0.393567 |
| infected patients | 0.410545 |
| source patients | 0.433354 |
| ebola virus disease | 0.543068 |
| body fluids | 0.411171 |
| patient care | 0.39366 |
| Liberian Ministry | 0.421696 |
| health care facilities | 0.777664 |
| ebola treatment units | 0.544046 |
| health care settings | 0.603032 |
| Ebola patients | 0.568588 |
| Ebola | 0.876498 |
| standard infection control | 0.397901 |
| direct physical contact | 0.425935 |
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| robust Ebola response | 0.473085 |
| infection control | 0.842441 |
| Ebola cases | 0.567548 |
| infection control precautions | 0.389282 |
| physical contact | 0.427373 |
| source patient | 0.421804 |
| health care workers | 0.473283 |
| health care | 0.974704 |
| infection control practices | 0.561276 |
| clusters | 0.520375 |
| routine health care | 0.389945 |
| Inadequate infection control | 0.389726 |
| HCW source patients | 0.393393 |
| non-ETU health facilities | 0.45525 |
| infection control infrastructure | 0.507871 |
| West Africa Ebola | 0.469774 |
| infection control protocols | 0.395955 |
| functioning health care | 0.390848 |
| potential Ebola cases | 0.485875 |
| Liberia | 0.423193 |
| infection control measures | 0.408106 |
| HCW cases | 0.421776 |
| non-ETU health care | 0.776807 |
| infection control equipment | 0.399673 |
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| 12373 |
Centers for Disease Control and Prevention |
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Know: BRCA - Everyone Has BRCA Genes (612W x 612H) |
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CLICK HERE |
| 15806 |
Centers for Disease Control and Prevention |
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Culture-Independent Diagnostic Tests - Foodborne Illness |
Culture independent tests for foodborne illness are disrupting the ability of public health scientists to detect outbreaks and track antibiotic resistance. |
| Campylobacter diarrheal | 0.378149 |
| CDC | 0.378558 |
| extracts important information | 0.424053 |
| pure bacterial strain | 0.485596 |
| perform tests | 0.371984 |
| positive CIDTs | 0.372924 |
| scientific data | 0.363917 |
| CIDT kit manufacturers | 0.410724 |
| Shiga toxin-producing E. | 0.415102 |
| PulseNet data | 0.370415 |
| harmful bacteria | 0.396811 |
| disease trends | 0.506683 |
| diagnostic laboratories | 0.373719 |
| additional information | 0.364849 |
| practical tests | 0.368848 |
| Culture-derived bacterial isolates | 0.508397 |
| sick people | 0.365682 |
| petri dish | 0.36398 |
| public health officials | 0.896863 |
| prevention measures | 0.367005 |
| Foodborne Diseases Active | 0.430072 |
| clinical laboratories | 0.576187 |
| foodborne illness | 0.771906 |
| FoodNet sites | 0.376508 |
| precise strains | 0.366677 |
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| PulseNet cluster detection | 0.423252 |
| public health laboratories | 0.585337 |
| culturing process | 0.384322 |
| foodborne illness outbreaks | 0.510811 |
| foodborne illness cases | 0.479362 |
| bacterial culture process | 0.461999 |
| laboratory network | 0.365831 |
| public health scientists | 0.442274 |
| bacterial isolates | 0.704372 |
| resistance pattern | 0.375114 |
| antibiotic resistance | 0.588715 |
| track antibiotic resistance | 0.441041 |
| public health | 0.932952 |
| new precise method | 0.423461 |
| Culture-independent diagnostic tests | 0.441999 |
| antibiotic-resistant Campylobacter | 0.373394 |
| valuable opportunities | 0.365226 |
| final stage | 0.364913 |
| common source | 0.368024 |
| CIDTs | 0.473257 |
| DNA fingerprints | 0.548864 |
| monitor disease trends | 0.434866 |
| DNA fingerprinting methods | 0.424108 |
| foodborne illness trends | 0.464794 |
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