| 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 |
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| 4961 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, September 20, 2010 |
null |
| Pneumococcal polysaccharide vaccination | 0.794131 |
| Jones JL | 0.761635 |
| longitudinal study | 0.762104 |
| Nuclear polyhedrosis virus | 0.791847 |
| Pirkle JL | 0.766138 |
| New York City | 0.803564 |
| unintentional medication overdose | 0.793925 |
| case-control study | 0.765559 |
| CDC Science Clips | 0.959562 |
| African Plasmodium falciparum | 0.80001 |
| tobacco-specific nitrosamine carcinogen | 0.797334 |
| early-stage breast cancer | 0.785351 |
| new weekly digest | 0.809719 |
| remote mining projects | 0.785366 |
| McRee AL | 0.762688 |
| countermeasures feasibility study | 0.789133 |
| Guest JL | 0.768604 |
| Chief Science Officer | 0.813921 |
| Anti-folate drug resistance | 0.793282 |
| Teten AL | 0.762486 |
| U.S. women | 0.772236 |
| Stephen B. Thacker | 0.899112 |
| Baltimore young men | 0.801939 |
| Australian rail industry | 0.78176 |
| Sep | 0.85149 |
|
| local area vaccination | 0.785492 |
| biological control agent | 0.798927 |
| United States | 0.798505 |
| BMC Infect Dis. | 0.803204 |
| Med Genet A. | 0.795375 |
| breast cancer recurrence | 0.78743 |
| pentavalent rotavirus vaccine | 0.79495 |
| mutant genotype frequencies | 0.79958 |
| Carolina tuberculosis genotype | 0.80966 |
| severe rotavirus gastroenteritis | 0.795327 |
| Acquir Immune Defic | 0.791869 |
| privately-insured U.S. youth | 0.802955 |
| male sex workers | 0.795219 |
| cancer epidemiology study | 0.799018 |
| secondhand smoke exposure | 0.785445 |
| U.S. adults | 0.764035 |
| public health literature | 0.790048 |
| diabetes acute complications | 0.78056 |
| B. Thacker CDC | 0.94862 |
| normal flight operations | 0.782027 |
| original sources | 0.766594 |
| et al | 0.813919 |
| PLoS Med. | 0.769734 |
| HIV infection | 0.836386 |
|
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| 6556 |
Centers for Disease Control and Prevention |
Html |
en |
Gang Homicides - Five U.S. Cities, 2003 - 2008 |
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. |
| Oklahoma City | 0.316591 |
| gang motive–based definition | 0.348551 |
| law enforcement agency | 0.347835 |
| gang victims | 0.349953 |
| gang affiliation | 0.337814 |
| gang member–based definition | 0.348688 |
| gang homicide prevention | 0.388941 |
| nongang homicide incidents | 0.368786 |
| gang homicide | 0.620879 |
| nongang homicides | 0.493785 |
| supplementary homicide reports | 0.297007 |
| violent death data | 0.282543 |
| gang violence | 0.368878 |
| contentious gang members | 0.351708 |
| cities | 0.294905 |
| gang member | 0.36641 |
| homicide prevention strategies | 0.330043 |
| prevention programs | 0.268425 |
| gang homicides | 0.902747 |
| large cities | 0.289876 |
| rival gang member | 0.366335 |
| gang processes | 0.33158 |
| drive-by shootings | 0.29358 |
| homicide event | 0.270392 |
| juvenile gang | 0.324745 |
|
| gang-related mortality rates | 0.2867 |
| gang homicide estimates | 0.395241 |
| gang activity | 0.349279 |
| gang problems | 0.356267 |
| gang violence prevention | 0.355969 |
| nongang homicide victims | 0.320456 |
| gang involvement | 0.355511 |
| significantly higher proportion | 0.31757 |
| gang homicide counts | 0.412907 |
| law enforcement | 0.411868 |
| gang homicide victims | 0.430697 |
| National Gang Center | 0.392752 |
| law enforcement agencies | 0.310824 |
| gang homicide incidents | 0.453687 |
| National Youth Gang | 0.353326 |
| gang conflict | 0.329362 |
| municipal police departments | 0.270492 |
| drug trade/use | 0.333746 |
| higher proportion | 0.317916 |
| gang homicide case | 0.394342 |
| gang-related homicides | 0.350614 |
| Long Beach | 0.286387 |
| gang rivalry | 0.369595 |
| listing gang activity | 0.342144 |
|
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| 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 |
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| 9547 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 12_0285 |
Volumen 10 — el 29 de agosto de 2013. |
| bajos ingresos | 0.525586 |
| Health Bucks | 0.996549 |
| Nueva York | 0.446535 |
|
| programa health bucks | 0.79936 |
| posibles efectos | 0.44459 |
| Actividad FÃsica | 0.448701 |
|
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| 9635 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Child Asthma Data - Table C1 |
BRFSS 2008 - Child Asthma Data - Table C1 |
| Puerto Rico | 0.660865 |
| data | 0.356915 |
| CI | 0.418695 |
| normal approximation | 0.657786 |
| values | 0.370138 |
| standard error | 0.62778 |
| states | 0.356687 |
| Total | 0.357067 |
|
| confidence interval | 0.944821 |
| small sample size | 0.785087 |
| caution | 0.400131 |
| District | 0.356459 |
| Notes | 0.362349 |
| binomial distribution | 0.650666 |
| estimates | 0.385103 |
|
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| 9931 |
Centers for Disease Control and Prevention |
Html |
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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 |
|
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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 |
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| 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 |
|
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| 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 |
|
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