| 5357 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Identifies 10 Public Health Achievements of First Decade of 21st Century - Press Release: May 19, 2011 |
CDC Identifies 10 Public Health Achievements of First Decade of 21st Century |
| agricultural injury prevention | 0.528978 |
| lead levels | 0.540304 |
| motor vehicle travel | 0.531329 |
| Mortality Weekly Report | 0.549778 |
| Strategic National Stockpile | 0.525123 |
| neural tube defects | 0.655813 |
| important medical treatment | 0.540999 |
| state excise tax | 0.530645 |
| public health achievements | 0.801508 |
| certain chronic diseases | 0.542942 |
| deaths | 0.580981 |
| pneumococcal conjugate vaccine | 0.538077 |
| farm injury rates | 0.526496 |
| U.S. health care | 0.561314 |
| public health campaigns | 0.577526 |
| public health emergencies | 0.567044 |
| health care costs | 0.57837 |
| cervical cancer | 0.562742 |
| state public health | 0.576366 |
| domestic public health | 0.701235 |
| blood donor test | 0.535217 |
| foodborne illness outbreaks | 0.530689 |
| earlier HIV diagnosis | 0.524862 |
| folic acid fortification | 0.534833 |
| United States | 0.791298 |
|
| comprehensive smoke-free laws | 0.535302 |
| major public health | 0.617689 |
| cervical cancer screenings | 0.526712 |
| 21st century | 0.710869 |
| heart disease | 0.586112 |
| public health emergency | 0.575031 |
| folic acid | 0.604167 |
| public health | 0.948381 |
| graphic warning labels | 0.525528 |
| current childhood immunization | 0.528593 |
| percent reduction | 0.599322 |
| uncontrolled high blood | 0.531192 |
| public health measures | 0.57311 |
| healthcare costs | 0.550325 |
| percent decline | 0.671613 |
| recent economic analysis | 0.537585 |
| line-associated bloodstream infections | 0.545646 |
| Thomas R. Frieden | 0.540549 |
| U.S. blood donations | 0.539372 |
| new federal cigarette | 0.530079 |
| motor vehicle crashes | 0.685593 |
| lead poisoning prevention | 0.529732 |
| past decade | 0.82595 |
| blood lead levels | 0.533378 |
|
CLICK HERE |
| 6139 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Summary: July 28, 2011 |
MMWR News Summary: July 28, 2011 |
| American Academy | 0.710597 |
| prompt recognition | 0.71143 |
| LF programs | 0.776089 |
| seasonal influenza-related hospitalization | 0.799651 |
| heat illness | 0.912315 |
| New York City | 0.793657 |
| appropriate steps | 0.709527 |
| heat-related emergency department | 0.8396 |
| Al Lundeen | 0.712811 |
| permanent disability worldwide | 0.78358 |
| loose-fitting clothing | 0.713479 |
| influenza vaccine | 0.742493 |
| greater risk | 0.715052 |
| recreational activities | 0.713637 |
| sub-Saharan country | 0.718752 |
| influenza vaccination status | 0.852288 |
| CDC Division | 0.950977 |
| Drug company donations | 0.780278 |
| recreational activity | 0.723904 |
| Preschool children | 0.725352 |
| News Media Team | 0.81055 |
| community health workers | 0.792608 |
| limited resources | 0.778138 |
| Human immunodeficiency virus | 0.793233 |
| LF elimination program | 0.85735 |
|
| frequent rest breaks | 0.798924 |
| Public Health | 0.71159 |
| United States | 0.82598 |
| Electronic Media | 0.933457 |
| uninterrupted health insurance | 0.81383 |
| Oregon PRAMS-2 | 0.709987 |
| local health department | 0.80488 |
| Immunization Practices | 0.710534 |
| Advisory Committee | 0.710761 |
| sub-Saharan countries | 0.792419 |
| prevention tips | 0.714237 |
| emergency room care | 0.827213 |
| Oregon Pregnancy Risk | 0.80567 |
| supplemental diagnostic tests | 0.785617 |
| recent influenza vaccination | 0.851036 |
| common activities | 0.722278 |
| CDC laboratory | 0.721184 |
| influenza vaccination | 0.894393 |
| health-care usage correlates | 0.806834 |
| unstructured sports | 0.715363 |
| HIV-2 cases | 0.809471 |
| hot weather | 0.714037 |
| West Africa | 0.805598 |
| Survey follow-back survey | 0.802533 |
|
CLICK HERE |
| 8005 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Who We Are |
null |
| CDC | 0.838527 |
| global challenges | 0.509719 |
| endorsement | 0.274993 |
| maximum public health | 0.736191 |
| injuries | 0.321643 |
| disability | 0.248933 |
| non-communicable diseases | 0.555108 |
| emergency | 0.252314 |
| scientific expertise | 0.530991 |
| malaria | 0.267321 |
| global health programs | 0.748009 |
| disease eradication | 0.504675 |
| dollar | 0.254907 |
| Ministries | 0.250327 |
| HHS | 0.280504 |
| Notice | 0.254001 |
| causes | 0.2491 |
| elimination targets | 0.515121 |
| morbidity | 0.275326 |
| longer lives | 0.541353 |
|
| health goals | 0.500835 |
| global health | 0.992721 |
| HIV/AIDS | 0.256841 |
| execution | 0.256122 |
| health systems | 0.508175 |
| partnership | 0.247804 |
| global health approach | 0.770519 |
| agency | 0.25274 |
| impact | 0.294435 |
| world live healthier | 0.844032 |
| resources | 0.252684 |
| people | 0.257321 |
| non-federal site | 0.516042 |
| refugee health | 0.549435 |
| international organization goals | 0.73251 |
| U.S. Government program | 0.742166 |
| Global Health coordinates | 0.803172 |
| mortality | 0.263635 |
| employees | 0.247648 |
| especially chronic disease | 0.72198 |
|
CLICK HERE |
| 9194 |
Centers for Disease Control and Prevention |
Html |
en |
Salmonella is a Sneaky Germ: Seven Tips for Safer Eating | CDC Features |
Salmonella can contaminate more than poultry and eggs. It sneaks its way into many foods— ground beef, pork, tomatoes, sprouts—even peanut butter. Learn what you can to make your food safer to eat. |
| healthy appearing hens | 0.446146 |
| Salmonella | 0.972522 |
| Salmonella contamination | 0.6064 |
| food thermometer | 0.39117 |
| Salmonella infection | 0.590669 |
| frozen pot pies | 0.46007 |
| large outbreaks | 0.398553 |
| new cause | 0.387443 |
| Chicken feces | 0.385249 |
| foodborne illnesses | 0.396021 |
| stringent procedures | 0.386079 |
| eggs | 0.526689 |
| peanut products | 0.397662 |
| antibiotic treatment | 0.388708 |
| thoroughly cooked egg | 0.483568 |
| wide variety | 0.387652 |
| vegetables—even processed foods | 0.465253 |
| Salmonella-contaminated eggs | 0.442074 |
| grade A eggs | 0.419933 |
| impaired immune systems | 0.441647 |
| foodborne illness | 0.443034 |
| relatively small number | 0.440884 |
| egg shells | 0.400054 |
| perfectly normal-looking eggs | 0.493951 |
| egg whites | 0.391033 |
|
| rare cases | 0.388927 |
| Salmonella bacteria | 0.673128 |
| runny egg | 0.404455 |
| foods— ground beef | 0.474331 |
| foodborne germs | 0.397973 |
| Salmonella illnesses | 0.619873 |
| lightly cooked egg | 0.5885 |
| ready-to-eat foods | 0.388064 |
| Salmonella infections | 0.69971 |
| safe internal temperature | 0.445002 |
| Salmonella illness | 0.775807 |
| food poisoning | 0.475706 |
| primary culprits | 0.395433 |
| Vital Signs report | 0.463386 |
| Clean. Wash hands | 0.438725 |
| poultry | 0.393209 |
| Warmer weather | 0.38793 |
| common cause | 0.470254 |
| peanut butter | 0.398717 |
| people | 0.39133 |
| food | 0.492105 |
| cold foods | 0.388777 |
| older adults | 0.439049 |
| severe illness | 0.407587 |
|
CLICK HERE |
| 11471 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Guidance Regarding Compliance with Select Agent Regulations for Laboratories Handling Patient Specimens that are Known or Suspected to Contain Ebola Virus |
null |
| critical infrastructure | 0.238557 |
| select agent facility | 0.290764 |
| severe threat | 0.279469 |
| Human Services | 0.23966 |
| ebola virus | 0.99073 |
| Toxins List | 0.245159 |
| U.S. Department | 0.239572 |
| HHS Select Agent | 0.362819 |
| Disease Control | 0.242105 |
| No. Nucleic | 0.237701 |
| deliberate misuse | 0.240123 |
| virus isolation | 0.29961 |
| naturally occurring environment | 0.265275 |
| Select Agents Program | 0.289485 |
| select agent infection | 0.288324 |
| molecular methods | 0.268621 |
| Control Recommendations | 0.27065 |
| infectious forms | 0.237981 |
| greatest risk | 0.238802 |
| ebola virus disease | 0.549916 |
| body fluids | 0.269706 |
| patient’s body | 0.257185 |
| patient care | 0.300033 |
| biological agents | 0.276348 |
|
| EVD | 0.275984 |
| question-and-answer format | 0.244751 |
| select agents | 0.375965 |
| select agent regulations | 0.655841 |
| Clifton Rd | 0.242019 |
| Hospitalized Patients | 0.27313 |
| federal select agent | 0.293561 |
| clinical specimens | 0.245572 |
| Infection Prevention | 0.270284 |
| U.S. Hospitals | 0.270537 |
| exclusion provision | 0.238342 |
| routine patient care | 0.269432 |
| genetic material | 0.239637 |
| public health | 0.276068 |
| Contact CDC–INFO | 0.242743 |
| public confidence | 0.237776 |
| mass casualties | 0.239921 |
| additional requirements | 0.239791 |
| viral isolation | 0.238682 |
| specimens | 0.2726 |
| live-infectious Ebola virus | 0.507843 |
| select agent | 0.793183 |
| Ebola response | 0.322541 |
| APHIS/CDC Form | 0.303478 |
|
CLICK HERE |
| 12584 |
Centers for Disease Control and Prevention |
Video |
en |
Rose's Story | Tips From Former Smokers |
Rose started smoking at 13, and before long, she was spending her school lunch money on cigarettes instead of food. Her addiction to cigarettes led to lung cancer—and the fight of her life. In this video from CDC's Tips From Former Smokers campaign, Rose talks about living with cancer. She never really believed that she would get cancer from smoking—not her. Rose had chemotherapy, radiation, and surgery (twice) to fight the disease. At age 60, she died from lung cancer caused by smoking.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=b36bef48c0db3f2bb2a7a081da251b9820140620102049358 |
| Smokers | 0.968831 |
| CDC | 0.958216 |
| Rose | 0.695906 |
|
| Story | 0.693595 |
| YouTube | 0.912268 |
|
CLICK HERE |
| 12991 |
Centers for Disease Control and Prevention |
Html |
en |
World TB Day |
null |
| Basic TB Facts | 0.476865 |
| National TB Program | 0.419757 |
| TB Risk Factors | 0.472502 |
| TB Cohort Review | 0.438438 |
| latent tb infection | 0.739409 |
| Stop TB | 0.486012 |
| TB infection online | 0.51927 |
| TB Genotyping | 0.410572 |
| National TB | 0.485318 |
| Interactive TB Data | 0.485308 |
| Community Stop TB | 0.46104 |
| Latent Tuberculosis Infection | 0.267685 |
| TB Education | 0.462813 |
| Effective TB Interviewing | 0.437911 |
| National TB Indicators | 0.479509 |
| TB Facebook | 0.47217 |
| TB Terms | 0.464993 |
| Webinars TB | 0.401033 |
| World TB | 0.548817 |
| TB Contact Investigation | 0.441721 |
| TB Basics | 0.476799 |
| Toolkits TB eDOT | 0.439737 |
| U.S. TB Champions | 0.4178 |
|
| TB Prevention | 0.469376 |
| Detect Drug-Resistant TB | 0.472926 |
| TB Tweets | 0.468304 |
| TB Incidence | 0.426613 |
| TB Diagnostic Guidelines | 0.493485 |
| Drug-Resistant TB | 0.680362 |
| TB | 0.908644 |
| Research TB Epidemiologic | 0.470991 |
| TB updates | 0.461307 |
| Infectious TB | 0.401001 |
| TB Trials Consortium | 0.461838 |
| tb disease | 0.520995 |
| Latent TB Infection-Patient | 0.454275 |
| TB Day Resources | 0.407383 |
| TB Programs | 0.578835 |
| TB Notes | 0.532296 |
| Care Workers TB | 0.42634 |
| Treat Latent TB | 0.492034 |
| TB Treatment | 0.52145 |
| TB Control Programs | 0.429429 |
| TB Resources | 0.470321 |
| Federal TB Task | 0.414715 |
| TB Background | 0.439864 |
|
CLICK HERE |
| 13847 |
Centers for Disease Control and Prevention |
Html |
en |
Jackie's Story |
The story of Jackie, a 38-year-old woman with a family history of breast cancer. |
| instructions | 0.325562 |
| genetic counselor | 0.564349 |
| genetic testingTests | 0.439773 |
| ovaries | 0.325865 |
| father | 0.324767 |
| roadmap | 0.376187 |
| life | 0.327449 |
| princesses | 0.331729 |
| Amelia | 0.326889 |
| signs | 0.326184 |
| regular screening | 0.429707 |
| Jackie | 0.742031 |
| paternal family history | 0.629506 |
| options | 0.324971 |
| bright future | 0.591771 |
| genetic counseling.A | 0.443445 |
| action | 0.329396 |
| medication safety evaluator | 0.557133 |
| genetic disease | 0.442472 |
| paternal grandmother | 0.492405 |
| health care | 0.446168 |
| genetic change | 0.438717 |
|
| higher risk | 0.436388 |
| 4-year-old daughter | 0.633659 |
| breast cancer screening | 0.60564 |
| ovarian cancer | 0.954062 |
| gene mutation | 0.615901 |
| BRCA1 gene mutation | 0.560518 |
| breast cancer | 0.707925 |
| preventive surgeries | 0.441827 |
| relatives | 0.329136 |
| disease. | 0.325376 |
| doctor | 0.326388 |
| chemical database | 0.442236 |
| BRCA gene mutation | 0.606776 |
| 30s | 0.33328 |
| personal medical history | 0.558797 |
| spending time | 0.440048 |
| 40s | 0.332504 |
| risk | 0.469397 |
| paternal aunts | 0.496353 |
| Maryland | 0.324769 |
| body’s functions | 0.441907 |
|
CLICK HERE |
| 15790 |
Centers for Disease Control and Prevention |
Html |
en |
Guillain-Barré Syndrome During Ongoing Zika VirusTransmission - Puerto Rico, January 1-July 31, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| flavivirus infection | 0.656236 |
| Puerto Rico Hospital | 0.390967 |
| evidence | 0.36616 |
| neurologic signs | 0.434625 |
| virus disease outbreak | 0.369582 |
| Zika virus | 0.979557 |
| public health authorities | 0.370737 |
| recent Zika virus | 0.392871 |
| GBS cases | 0.435755 |
| neurologic conditions | 0.37719 |
| GBS patients | 0.437014 |
| active Zika virus | 0.400532 |
| GBS case | 0.405086 |
| health care providers | 0.444755 |
| median age | 0.380977 |
| patients | 0.488696 |
| dengue virus | 0.39629 |
| dengue virus infections | 0.37315 |
| ongoing Zika virus | 0.411304 |
| Zika virus disease | 0.413832 |
| possible GBS | 0.426607 |
| Zika virus transmission | 0.460055 |
| Fifty-six suspected cases | 0.386225 |
| Puerto Rico | 0.787629 |
| presumptive Zika virus | 0.460515 |
|
| infection control departments | 0.360062 |
| chikungunya virus | 0.364117 |
| Zika virus infection | 0.870261 |
| GBS incidence | 0.42959 |
| Zika virus cases | 0.400183 |
| Puerto Rico Department | 0.482271 |
| local transmission | 0.369872 |
| neurologic disorders | 0.390807 |
| IgM ELISA | 0.363717 |
| GBS | 0.665933 |
| neurologic illnesses | 0.362129 |
| Zika virus infections.* | 0.400493 |
| public health | 0.412991 |
| Chemical Emergencies Laboratory | 0.360161 |
| confirmed Zika virus | 0.402636 |
| Zika virus infections | 0.400028 |
| antecedent arboviral infection | 0.369907 |
| presumptive flavivirus infection | 0.444915 |
| presumptive recent infection | 0.368313 |
| GBS Passive Surveillance | 0.472812 |
| clinical neurologic signs | 0.360833 |
| demyelinating polyneuropathy subtype | 0.360491 |
| neurologic symptoms | 0.37564 |
| GBS diagnosis | 0.40518 |
|
CLICK HERE |
| 16382 |
Centers for Disease Control and Prevention |
Html |
en |
Resurgence of Progressive Massive Fibrosis in Coal Miners -Eastern Kentucky, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| coal mining | 0.555781 |
| PMF cases | 0.419711 |
| Kentucky coal miners | 0.547614 |
| coal miners | 0.877974 |
| underground coal | 0.504024 |
| standard coal workers | 0.472931 |
| active miners | 0.38125 |
| national surveillance program | 0.420668 |
| coal mining regions | 0.475691 |
| coal mining tenure | 0.482141 |
| central Appalachia | 0.384514 |
| respirable coal | 0.489803 |
| continuous miner machine | 0.427256 |
| effective dust control | 0.419571 |
| surveillance data | 0.376741 |
| routine national surveillance | 0.372837 |
| Surveillance Program participation | 0.375346 |
| U.S. coal miners | 0.597795 |
| state coal workforce | 0.464741 |
| coal workers | 0.938594 |
| public health practice | 0.372692 |
| underground coal seams | 0.468872 |
| practice-identified PMF | 0.404223 |
| Coal Mine Health | 0.506316 |
| voluntary Coal Workers | 0.484408 |
|
| low Coal Workers | 0.48414 |
| Coal Act | 0.493824 |
| machine extracts coal | 0.452717 |
| simple coal workers | 0.480765 |
| active coal miners | 0.527997 |
| coal production | 0.443758 |
| eastern Kentucky | 0.432875 |
| NIOSH Coal Workers | 0.48097 |
| seam coal mining | 0.474867 |
| progressive massive fibrosis | 0.402314 |
| PMF onset | 0.392805 |
| coal mine dust | 0.515938 |
| Federal Coal | 0.459389 |
| Surveillance Program data | 0.379763 |
| pneumoconiosis surveillance | 0.382382 |
| continuous miners | 0.383326 |
| roof bolters | 0.373425 |
| coal mining jobs | 0.470393 |
| U.S. coal mines | 0.519556 |
| PMF | 0.552982 |
| coal miner employment | 0.473957 |
| Health Surveillance Program | 0.595015 |
| small opacity profusion | 0.39641 |
| real-time respirable dust | 0.372913 |
|
CLICK HERE |