| 4949 |
Centers for Disease Control and Prevention |
Html |
en |
Motor Vehicle Injuries |
Preventing motor vehicle injuries is a winnable battle. Motor vehicle-related injuries are the leading cause of death in the first three decades of life. |
| significant impact | 0.350147 |
| useful information | 0.330466 |
| United States | 0.383357 |
| public health partners | 0.540788 |
| PowerPoint slides | 0.367999 |
| cause | 0.204378 |
| case studies | 0.333373 |
| Vehicle Injuries Winnable | 0.749884 |
| local levels | 0.504216 |
| nation’s health | 0.346518 |
| motor vehicle | 0.702657 |
| visit www.cdc.gov/Motorvehiclesafety | 0.323312 |
|
| priority area | 0.355239 |
| contact adprogram | 0.331958 |
| additional effort | 0.3527 |
| motor vehicle injury | 0.579898 |
| Battle materials | 0.344105 |
| Winnable Battle | 0.912495 |
| programmatic interventions | 0.387404 |
| specific data | 0.333726 |
| Motor vehicle-related injuries | 0.702371 |
| road traffic crashes | 0.605578 |
| cost-effective strategies | 0.363186 |
|
CLICK HERE |
| 6218 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, August 22, 2011 |
null |
| impaired lung function | 0.538913 |
| current awareness | 0.413724 |
| food stamp program | 0.520146 |
| social determinants | 0.431585 |
| Disease Control | 0.419979 |
| CDC Science Clips | 0.908188 |
| restrictive lung pattern | 0.539152 |
| historical exposures | 0.421295 |
| occupational history | 0.413728 |
| Nutrition Examination Survey | 0.516646 |
| indirect costs | 0.423756 |
| Chief Science Officer | 0.551909 |
| historical exposure | 0.415467 |
| non-melanoma skin cancer | 0.550193 |
| DHHS | 0.452357 |
| National Health | 0.431814 |
| HPV vaccine impact | 0.53611 |
| body weight status | 0.524523 |
| public domain | 0.437375 |
| Public Health Rep. | 0.546339 |
| Student Research Contest | 0.532867 |
| competitive female cyclists | 0.511828 |
| Stephen B. Thacker | 0.76588 |
| primary manufacturing facility | 0.679618 |
| Pericardial fat | 0.434017 |
|
| at-risk populations | 0.424844 |
| potential life | 0.427515 |
| United States | 0.420771 |
| bike seats | 0.415641 |
| Immunization Practices | 0.417397 |
| Human papillomavirus | 0.432256 |
| Advisory Committee | 0.415445 |
| unhealthy foods | 0.431485 |
| weekly digest | 0.43543 |
| Jackson Heart Study | 0.537016 |
| chronic beryllium disease | 0.688733 |
| public health literature | 0.527068 |
| B. Thacker CDC | 0.93049 |
| systematic review | 0.542595 |
| U.S. low-income women | 0.525526 |
| Genet Med. | 0.435359 |
| human pregnancy | 0.420577 |
| original authors | 0.417224 |
| Prev Med. | 0.441954 |
| non-CDC Websites | 0.413969 |
| examine hospitalization rates | 0.535292 |
| original sources | 0.43835 |
| data systems | 0.424961 |
| news sources | 0.419818 |
|
CLICK HERE |
| 7648 |
Centers for Disease Control and Prevention |
Html |
en |
Comprehensive Smoke-Free Laws - 50 Largest U.S. Cities, 2000and 2012 |
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. |
| state tobacco-related laws | 0.340859 |
| North Carolina | 0.299308 |
| Control Laws Database | 0.350513 |
| comprehensive state protections | 0.311978 |
| local SHS protections | 0.390555 |
| U.S. Tobacco Control | 0.325046 |
| local CSF law | 0.589787 |
| statewide CSF laws | 0.484044 |
| largest cities | 0.36295 |
| statewide smoking restrictions | 0.345341 |
| ineffective smoking restrictions | 0.339866 |
| completely eliminating smoking | 0.30051 |
| comprehensive local protections | 0.306029 |
| state smoke-free laws | 0.396873 |
| New local CSF | 0.41238 |
| CSF policy coverage | 0.394958 |
| large U.S. cities | 0.292241 |
| comprehensive state smoking | 0.342914 |
| comprehensive SHS protections | 0.31961 |
| state csf laws | 0.686153 |
| state administrative laws | 0.319627 |
| smoke-free policies | 0.29444 |
| southern United States | 0.394984 |
| state tobacco-related legislation | 0.303626 |
|
| smoking restrictions | 0.97362 |
| local laws | 0.34188 |
| smoke-free workplace policies | 0.28701 |
| local smoking restrictions | 0.761152 |
| CSF laws | 0.957711 |
| U.S. population | 0.306189 |
| local jurisdictions | 0.286701 |
| local action | 0.283813 |
| local CSF | 0.621009 |
| state smoking restrictions | 0.721165 |
| largest U.S. cities | 0.619217 |
| local CSF laws | 0.578059 |
| SHS exposure | 0.310025 |
| State Tobacco Activities | 0.301109 |
| smoke-free policy coverage | 0.292128 |
| state laws | 0.321055 |
| state CSF law | 0.590533 |
| state preemption laws | 0.323948 |
| local level | 0.291429 |
| public health protections | 0.285434 |
| strongest smoking restrictions | 0.359859 |
| state level | 0.369262 |
| SHS protections | 0.399284 |
|
CLICK HERE |
| 9796 |
Centers for Disease Control and Prevention |
Html |
en |
Chronic Fatigue Syndrome (CFS) - Monitoring the Use of All Medicines and Supplement |
null |
| bed | 0.237798 |
| severe fatigue | 0.476778 |
| thinking | 0.237693 |
| times | 0.237969 |
| Institute | 0.233133 |
| complex disease | 0.390667 |
| understanding | 0.233113 |
| health care providers | 0.539427 |
| ME/CFS | 0.833269 |
| dizziness | 0.257062 |
| pain | 0.235244 |
| timely diagnosis | 0.403076 |
| committee | 0.23346 |
| IOM | 0.260819 |
|
| Americans | 0.236337 |
| encephalomyelitis/chronic fatigue syndrome | 0.995804 |
| sleep problems | 0.402557 |
| usual activities | 0.430562 |
| body systems | 0.430988 |
| people | 0.311776 |
| symptoms | 0.233915 |
| symptom | 0.252966 |
| post-exertional malaise | 0.428804 |
| long-term illness | 0.481315 |
| new diagnostic criteria | 0.557353 |
| PEM | 0.255933 |
| MyalÂgic Encephalomyelitis/Chronic Fatigue | 0.602573 |
|
CLICK HERE |
| 9931 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom - Digital Press Kit: New Study Finds Strong Evidence of Humans Surviving Rabies Bites Without Treatment - photos |
New Study Finds Strong Evidence of Humans Surviving Rabies Bites Without Treatment |
| Sergio Recuenco | 0.912471 |
| mulitple bats | 0.525369 |
| Humans | 0.33928 |
| Amy Gilbert | 0.678661 |
| email address | 0.460728 |
| photo | 0.592307 |
| photos | 0.333038 |
| Strong Evidence | 0.507615 |
| New Study | 0.503492 |
| Daniel Streicker | 0.761033 |
|
| Treatment | 0.333096 |
| South American locations | 0.927658 |
| Santa Marta | 0.492359 |
| Surviving Rabies Bites | 0.794038 |
| vampire bat | 0.685608 |
| CDC Online Newsroom | 0.710616 |
| Digital Press Kit | 0.674867 |
| Field worker | 0.49738 |
| village | 0.35418 |
| Peru | 0.384874 |
|
CLICK HERE |
| 10700 |
Centers for Disease Control and Prevention |
Html |
en |
Short and Extended Messages'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 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
CLICK HERE |
| 10884 |
Centers for Disease Control and Prevention |
Html |
en |
CDC to announce record-breaking year in reported cases of measles in the United States | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| M.D. | 0.428665 |
| historical purposes | 0.595112 |
| briefing | 0.438373 |
| navigation Skip | 0.747093 |
| transcript | 0.467972 |
| PASSCODE | 0.462888 |
| Important Instructions | 0.568688 |
| RADM | 0.428628 |
| United States Public | 0.717924 |
| dial | 0.437125 |
| National Center | 0.572066 |
| Health Service | 0.572861 |
| Immunization | 0.443793 |
| website | 0.431725 |
| list Skip | 0.746292 |
|
| CDC Media | 0.588747 |
| question | 0.500802 |
| director | 0.428367 |
| page options Skip | 0.902568 |
| start | 0.428207 |
| USPHS | 0.46575 |
| assistant surgeon general | 0.727505 |
| touchtone phone | 0.583874 |
| ET | 0.432443 |
| Thursday | 0.433003 |
| Anne Schuchat | 0.576472 |
| Respiratory Diseases | 0.580448 |
| time | 0.427064 |
| press conference | 0.557138 |
|
CLICK HERE |
| 10982 |
Centers for Disease Control and Prevention |
Html |
en |
EID News Synopsis: June 2014 | CDC Media Relations |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| well-separated continents | 0.44739 |
| Central America | 0.43802 |
| Health Science | 0.447809 |
| new technology | 0.445574 |
| multiple genotypes | 0.43569 |
| Zika virus | 0.695003 |
| Jaymin C. Patel | 0.554095 |
| CDC study | 0.50655 |
| Lin-Fa Wang | 0.449199 |
| North America | 0.444449 |
| North Pacific | 0.433853 |
| genetically related phleboviruses | 0.568154 |
| NC USA | 0.431013 |
| closely related viruses | 0.561044 |
| malaria treatment policies | 0.577799 |
| Democratic Republic | 0.437318 |
| South Pacific | 0.550186 |
| virus reemergence | 0.485689 |
| future epidemics | 0.436638 |
| respiratory infections | 0.458602 |
| public health risks | 0.561306 |
| drug-resistant malaria | 0.482344 |
| phlebovirus infection | 0.440772 |
| similar tick-borne viruses | 0.603444 |
| half century | 0.430546 |
|
| Disease journal page | 0.572675 |
| Infectious Diseases | 0.456406 |
| malaria parasites | 0.464572 |
| different genotypes | 0.436818 |
| United States | 0.447601 |
| CSIRO Animal | 0.440761 |
| similar viruses | 0.471679 |
| drug-resistant parasites | 0.460715 |
| disease outbreak | 0.462626 |
| public health journal | 0.59609 |
| North Carolina-Chapel Hill | 0.558681 |
| Genetic analysis | 0.680223 |
| Institut Louis Malardé | 0.782459 |
| tick-borne phlebovirus | 0.451952 |
| Australian Animal Health | 0.563989 |
| mosquito-borne virus | 0.499989 |
| Van-Mai Cao-Lormeau | 0.575136 |
| 18-year absence | 0.437424 |
| p.m. EDT | 0.473669 |
| French Polynesia | 0.960911 |
| malaria transmission | 0.458936 |
| dengue virus serotype | 0.860188 |
| linfa.wang@csiro.au | 0.446856 |
| dengue serotypes | 0.503611 |
|
CLICK HERE |
| 11587 |
Centers for Disease Control and Prevention |
Html |
en |
NER - Peer-Reviewed Biomonitoring Articles | CDC |
null |
| Jones RL | 0.4756 |
| McGuirk MF | 0.444772 |
| Food Chem Toxicol. | 0.444293 |
| adequate exposure biomarkers | 0.453187 |
| urinary metabolite NNAL | 0.450621 |
| Pirkle JL | 0.488 |
| Expo Sci Environ | 0.582725 |
| Environ Res. | 0.523821 |
| Preau JL Jr | 0.468102 |
| Jain RB | 0.461233 |
| blood levels | 0.444593 |
| Nutrition Examination Survey | 0.999816 |
| Needham | 0.442906 |
| Sampson EJ | 0.442349 |
| Examination Survey Data | 0.464393 |
| Environ Int. | 0.533008 |
| National Health | 0.736547 |
| Dietary acrylamide exposure | 0.465548 |
| exposure | 0.479435 |
| Environ Health Perspect. | 0.80025 |
| Bernert JT | 0.442315 |
| Patterson DG Jr | 0.490965 |
| Reidy JA | 0.480887 |
| Caldwell KL | 0.493329 |
| united states population | 0.553414 |
|
| Environ Sci Technol. | 0.579332 |
| hemoglobin adducts–National Health | 0.463592 |
| blood mercury concentrations | 0.452075 |
| Hyg Environ Health | 0.514292 |
| Cancer Epidemiol Biomarkers | 0.486147 |
| representative sample | 0.442716 |
| Caudill SP | 0.547385 |
| drinking water exposure | 0.448585 |
| U.S. Smokeless Tobacco | 0.447076 |
| deCastro BR | 0.444051 |
| Vesper HW | 0.446602 |
| u.s. population | 0.69886 |
| Hyg Environ Health. | 0.497637 |
| volatile organic compound | 0.479604 |
| United States Residents | 0.444034 |
| Epidemiol Biomarkers Prev. | 0.486141 |
| Ye XY | 0.461593 |
| Sci Environ Epidemiol. | 0.58418 |
| urinary concentrations | 0.513248 |
| blood trihalomethane concentrations | 0.457595 |
| secondhand smoke exposure | 0.453769 |
| van Bemmel DM | 0.442525 |
| Blount BC | 0.643495 |
| Environ Health Perspect | 0.593247 |
|
CLICK HERE |
| 13720 |
Centers for Disease Control and Prevention |
Html |
en |
Cassie's Story |
The story of Cassie, a 42-year-old woman with a family history of breast cancer. |
| instructions | 0.330138 |
| BringYourBrave | 0.328656 |
| genetic testingTests | 0.455003 |
| ovaries | 0.35914 |
| mom’s sisters | 0.481845 |
| changes | 0.331125 |
| husband | 0.327717 |
| BRCA1 | 0.363427 |
| BRCA gene mutation.BRCA | 0.617571 |
| BRCA2 | 0.331 |
| bilateral mastectomy—to | 0.468475 |
| genetic counseling | 0.456663 |
| mother | 0.37161 |
| http://1.usa.gov/1Nlua9j | 0.328675 |
| mutations | 0.334032 |
| world | 0.32739 |
| hereditary breast cancer | 0.618104 |
| international aid worker | 0.562278 |
| children | 0.359201 |
| aunt | 0.339369 |
| action | 0.327432 |
| BReast CAncer gene | 0.680587 |
|
| Cassie | 0.73221 |
| ovarian cancer risk | 0.583338 |
| genetic change | 0.453965 |
| family members | 0.580525 |
| higher risk | 0.591522 |
| BRCA gene | 0.628868 |
| breast cancer risk | 0.653181 |
| genes | 0.331094 |
| breast cancer | 0.982135 |
| nonprofit consultant | 0.445855 |
| birth | 0.328159 |
| disease. | 0.329944 |
| doctor | 0.328265 |
| chemical database | 0.463246 |
| BRCA gene mutation | 0.590761 |
| family history | 0.448497 |
| 40s | 0.339763 |
| cancer risk | 0.661496 |
| difference | 0.327528 |
| body’s functions | 0.455996 |
| age | 0.33062 |
| child | 0.3526 |
|
CLICK HERE |