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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Antismoking Mass Media Campaigns and Support for Smoke-Free Environments, Mobile County, Alabama, 2011"2012 - CDC |
In 2011, the Mobile County Health Department began a 12-month antismoking educational media campaign to educate citizens on the dangers of secondhand smoke. The campaign overlapped with the Centers for Disease Control and Prevention’s 3-month national antismoking Tips from Former Smokers media campaign. We aimed to evaluate the effect of these campaigns on support for smoke-free environments and knowledge of the dangers of secondhand smoke. |
| radio advertisements | 0.3525 |
| dangers | 0.441514 |
| County Health Department | 0.381326 |
| Mobile County Health | 0.386026 |
| secondhand smoke | 0.379675 |
| Tips campaign advertisements | 0.366018 |
| postcampaign survey | 0.372908 |
| SHS | 0.481216 |
| M. Smoke-free São | 0.408377 |
| knowledge | 0.380849 |
| television advertisement | 0.397763 |
| media exposure | 0.413853 |
| educational media campaign | 0.789771 |
| Breathe radio advertisement | 0.354819 |
| antitobacco educational media | 0.352824 |
| educational media | 0.871119 |
| smoke-free protections | 0.572073 |
| smoke-free locations | 0.429797 |
| mass media campaigns | 0.540151 |
| educational mass media | 0.467238 |
| Breathe educational media | 0.394414 |
| support | 0.466665 |
| antismoking educational media | 0.369919 |
| new smoke-free protections | 0.459733 |
| Tips campaign | 0.432841 |
|
| logistic regression analyses | 0.422872 |
| Mobile County | 0.585842 |
| indoor public places | 0.353861 |
| smoke-free bars | 0.61195 |
| smoke-free workplaces | 0.659753 |
| Mobile County residents | 0.367557 |
| advertisements | 0.397847 |
| television advertisements | 0.358997 |
| smoke-free policies | 0.489249 |
| educational media campaigns | 0.855414 |
| Adult Tobacco Survey | 0.435299 |
| public health | 0.46057 |
| black respondents | 0.376187 |
| media campaigns | 0.916218 |
| Breathe campaign | 0.391566 |
| antismoking media campaign | 0.3754 |
| billboard advertisements | 0.369336 |
| smoke-free restaurants | 0.43513 |
| public indoor areas | 0.360259 |
| white respondents | 0.376033 |
| smoke-free environments | 0.956994 |
| protected smoke-free environments | 0.474991 |
| smoke-free air | 0.384942 |
| Smokers media campaign | 0.384373 |
|
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| 7470 |
Centers for Disease Control and Prevention |
Html |
en |
Cancer Clusters - Contact Information |
Cancer Clusters Resources |
| Cancer Cluster Web | 0.612334 |
| environmental chemicals | 0.25753 |
| Environmental Health Sciences | 0.88369 |
| environment-related diseases | 0.277905 |
| extensive overview | 0.552702 |
| Occupational Safety | 0.245549 |
| environmental causes | 0.260942 |
| additional resources | 0.304127 |
| lifestyle factors | 0.259794 |
| toxic substances | 0.332878 |
|
| electromagnetic fields | 0.254588 |
| potentially hazardous working | 0.471424 |
| National Cancer Institute | 0.544653 |
| certain medical drugs | 0.477428 |
| health risks | 0.251571 |
| union representatives | 0.249747 |
| cancer clusters | 0.905069 |
| physical inactivity | 0.285411 |
| National Institute | 0.276106 |
|
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| 8565 |
Centers for Disease Control and Prevention |
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en |
PanFlu Storybook - War Stories, Al Tunis |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| tears | 0.439653 |
| United States | 0.600639 |
| father | 0.437049 |
| Virginia′s death | 0.57874 |
| ship | 0.467112 |
| ominous sign | 0.607903 |
| U.S.S. Chatham | 0.58971 |
| voyages | 0.445028 |
| Storyteller | 0.44841 |
| supplies | 0.433545 |
| sight | 0.438389 |
| passages | 0.437802 |
| end | 0.431638 |
| France | 0.433598 |
| ship′s | 0.463093 |
| war effort | 0.585112 |
| Jane Schneider | 0.63363 |
|
| bad luck | 0.594297 |
| Europe | 0.433439 |
| high school classmates | 0.786649 |
| Merchant Marine | 0.606718 |
| U.S.S. Virginia | 0.578995 |
| New Jersey | 0.961844 |
| flu | 0.442733 |
| home | 0.49908 |
| girlfriend | 0.515696 |
| sailors | 0.442609 |
| young Al | 0.566241 |
| service | 0.433067 |
| burst | 0.447125 |
| time | 0.433119 |
| Al Tunis | 0.61461 |
| word | 0.433032 |
|
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| 9034 |
Centers for Disease Control and Prevention |
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en |
West Nile Virus and Other Arboviral Diseases - UnitedStates, 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. |
| WNV neuroinvasive disease | 0.447595 |
| LACV neuroinvasive disease | 0.262825 |
| equine encephalitis virus | 0.208109 |
| United States | 0.266616 |
| arboviral disease cases | 0.40401 |
| WNV disease incidence | 0.248997 |
| neuroinvasive disease | 0.793678 |
| human disease cases | 0.259756 |
| neuroinvasive disease incidence | 0.251224 |
| public health authorities | 0.233075 |
| Eastern equine encephalitis | 0.263731 |
| EEEV disease cases | 0.24164 |
| notifiable arboviral diseases | 0.229908 |
| LACV disease cases | 0.280921 |
| veterinary disease cases | 0.257741 |
| EEEV neuroinvasive disease | 0.228059 |
| neuroinvasive disease cases | 0.653107 |
| neuroinvasive wnv disease | 0.272859 |
| national incidence | 0.266323 |
| nonneuroinvasive disease cases | 0.325752 |
|
| WNV disease cases | 0.293477 |
| reported case | 0.209139 |
| notifiable arboviral disease | 0.281261 |
| virus disease cases | 0.255079 |
| arboviral disease | 0.414819 |
| median age | 0.382348 |
| California serogroup virus | 0.257127 |
| domestic arboviral disease | 0.247062 |
| WNV disease | 0.409552 |
| neuroinvasive disease patients | 0.243239 |
| SLEV disease cases | 0.243227 |
| severe arboviral disease | 0.241926 |
| endemic arboviral diseases | 0.228745 |
| neuroinvasive cases | 0.200093 |
| acute flaccid paralysis | 0.329858 |
| recent arboviral infection | 0.224891 |
| POWV neuroinvasive disease | 0.224916 |
| disease cases | 0.96915 |
| illness onset | 0.345922 |
| human arboviral infections | 0.230775 |
|
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Centers for Disease Control and Prevention |
Html |
es |
Disparidades raciales o étnicas en tabaquismo previo al embarazo en mujeres que dieron a luz bebés vivos |
null |
| práctica intervenciones | 0.587355 |
| Nueva York | 0.54247 |
| Estados Unidos | 0.799682 |
|
| Risk Assessment Monitoring | 0.692476 |
| alta prevalencia | 0.617426 |
|
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| 10607 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Foundation's Business Pulse on Global Health Security Now Available Online | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Centers | 0.337769 |
| business leaders | 0.528114 |
| United States | 0.525642 |
| H7N9 avian flu | 0.759222 |
| CDC Foundation | 0.64366 |
| mosquito-borne chikungunya virus | 0.82219 |
| SARs outbreak | 0.624221 |
| workforces | 0.367046 |
| Dr. Jordan Tappero | 0.703607 |
| spike | 0.34721 |
| Prevention | 0.337678 |
| world | 0.42063 |
| Disease Control | 0.536844 |
| health security capacities | 0.749499 |
| China | 0.338484 |
| U.S. DEPARTMENT | 0.524808 |
| dangerous microbes | 0.634958 |
| global health threats | 0.735409 |
| businesses | 0.336485 |
| deadly disease | 0.555228 |
| cases | 0.338796 |
|
| globalization | 0.354267 |
| Philippines | 0.336406 |
| infectious disease epidemics | 0.759041 |
| New microbes | 0.609596 |
| dangerous pathogens | 0.619862 |
| countries | 0.337496 |
| concerns | 0.33747 |
| plane ride | 0.573261 |
| visit http://www.cdcfoundation.org/businesspulse | 0.513953 |
| Health Security highlights | 0.724991 |
| global partners | 0.541143 |
| trade | 0.343928 |
| West Africa | 0.544152 |
| laboratories | 0.336741 |
| HUMAN SERVICES | 0.524238 |
| drug resistance | 0.557547 |
| Business Pulse | 0.704805 |
| travel | 0.341125 |
| Dr. Ken Grossman | 0.71552 |
| Ebola | 0.360787 |
| global health security | 0.999102 |
|
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Centers for Disease Control and Prevention |
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en |
First Chikungunya case acquired in the United States reported in Florida | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| East Coast | 0.369185 |
| Arboviral Diseases Branch | 0.434884 |
| CDC | 0.438898 |
| mosquito-borne virus chikungunya | 0.746703 |
| mosquito bites | 0.449706 |
| limited parts | 0.370544 |
| chikungunya-infected travelers | 0.368506 |
| control programs | 0.370128 |
| sporadic local transmission | 0.429532 |
| widespread outbreaks | 0.368867 |
| Disease Control | 0.375821 |
| long-term joint pain | 0.415108 |
| possible cases | 0.373377 |
| state health departments | 0.425925 |
| exotic pathogens | 0.368002 |
| Health care providers | 0.419152 |
| diagnostic laboratories | 0.368065 |
| dengue virus | 0.434205 |
| local outbreak | 0.369742 |
| southeastern United States | 0.458128 |
| travel-associated cases | 0.384991 |
| Aedes albopictus | 0.451412 |
| locally acquired chikungunya | 0.648645 |
| Aedes aegypti | 0.389564 |
| chikungunya symptoms | 0.544414 |
|
| CDC officials | 0.391777 |
| Mid-Atlantic States | 0.385869 |
| household protection measures | 0.422677 |
| Puerto Rico | 0.367708 |
| locally acquired case | 0.46101 |
| United States | 0.957537 |
| chikungunya activity | 0.546361 |
| chikungunya virus | 0.830048 |
| continental United States | 0.575378 |
| Roger Nasci | 0.371911 |
| St. Martin | 0.418576 |
| local transmission | 0.493748 |
| health security initiatives | 0.430747 |
| U.S. Virgin Islands | 0.429098 |
| Florida Department | 0.443734 |
| U.S. cases | 0.389918 |
| newly reported case | 0.47242 |
| local chikungunya transmission | 0.613446 |
| lower Midwest | 0.367354 |
| effective surveillance networks | 0.427808 |
| Western Hemisphere | 0.379944 |
| joint pain | 0.472174 |
| locally acquired cases | 0.452025 |
| chikungunya | 0.835293 |
|
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Centers for Disease Control and Prevention |
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Update: Influenza Activity - United States, September28-December 6, 2014 |
Melissa Rolfes, PhD1, Lenee Blanton, MPH1, Lynnette Brammer, MPH1, Sophie Smith, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Jessica Cohen, MPH1, Michelle Leon, MPH1, Sandra S. Chaves, MD1, Anwar Isa Abd Elal1, Larisa Gubareva, PhD1, Henrietta Hall1, Teresa Wallis, MS1, Julie Villanueva, PhD1, Xiyan Xu, MD1, Joseph Bresee, MD1, Nancy Cox, PhD1, Lyn Finelli, DrPH1 (Author affiliations at end of text). |
| influenza | 0.951713 |
| influenza hospitalization surveillance | 0.730557 |
| CDC influenza surveillance | 0.631643 |
| influenza complications§§§ | 0.532284 |
| United States | 0.562034 |
| substantial influenza activity | 0.574107 |
| novel influenza | 0.536666 |
| quadrivalent influenza vaccine | 0.588269 |
| influenza A viruses | 0.635085 |
| influenza outbreaks | 0.530118 |
| clinician-ordered influenza testing | 0.546095 |
| Hemisphere influenza vaccine | 0.668636 |
| Surveillance Network | 0.437834 |
| influenza B component | 0.567857 |
| live attenuated influenza | 0.558211 |
| influenza antiviral medications | 0.558282 |
| influenza B viruses | 0.775458 |
| high ILI activity | 0.420619 |
| influenza A vaccine | 0.569814 |
| ILI activity level | 0.419734 |
| Cities Mortality Reporting | 0.475459 |
| laboratory-confirmed influenza | 0.593616 |
| influenza A virus | 0.578901 |
| laboratory-confirmed influenza case | 0.553268 |
|
| Southern Hemisphere influenza | 0.583811 |
| Influenza surveillance reports | 0.564943 |
| influenza vaccine | 0.72392 |
| influenza season | 0.677982 |
| influenza activity | 0.710945 |
| influenza surveillance systems | 0.579061 |
| influenza A subtype | 0.54497 |
| quadrivalent influenza vaccines | 0.578697 |
| U.S. influenza activity* | 0.606771 |
| Hospitalization Surveillance Network | 0.435437 |
| Enteric Virus Surveillance | 0.446605 |
| Northern Hemisphere influenza | 0.665856 |
| influenza vaccination | 0.537349 |
| Sporadic influenza activity | 0.585056 |
| recent influenza | 0.524031 |
| influenza virus circulation | 0.550332 |
| traditional influenza seasons | 0.56265 |
| ILI activity | 0.535721 |
| inactivated influenza vaccine | 0.566106 |
| influenza viruses | 0.790115 |
| influenza B virus | 0.596417 |
| influenza virus | 0.568174 |
| influenza B coinfections | 0.545497 |
|
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Centers for Disease Control and Prevention |
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How Can I Protect My Children from the Sun? |
Just a few serious sunburns can increase your child's risk of skin cancer later in life. |
| skin cancer risk | 0.752217 |
| skin cancer | 0.813724 |
| UV rays | 0.979519 |
| sunscreen | 0.818429 |
| Unprotected skin | 0.698062 |
| long pants | 0.68783 |
| wet T-shirt | 0.684825 |
| child swims | 0.693393 |
| it—tanned skin | 0.68891 |
| long-sleeved shirts | 0.686239 |
| sunburn | 0.669385 |
| indoor activities | 0.695039 |
| water-resistant products | 0.68918 |
| sun | 0.760879 |
| tightly woven fabric | 0.763686 |
| international standards | 0.68758 |
| lower students | 0.674518 |
| best protection | 0.758878 |
| Wear sunglasses | 0.688929 |
| skin reacts | 0.696972 |
| darker colors | 0.686198 |
| America’s Schools | 0.676418 |
| school grounds | 0.67442 |
| health care providers | 0.743655 |
|
| pop-up tent | 0.684966 |
| Skin Cancer fact | 0.754451 |
| UV damage | 0.736699 |
| school staff | 0.676844 |
| kids | 0.66952 |
| UV protection | 0.762178 |
| adequate shade | 0.702833 |
| lighter colors | 0.685761 |
| sun protection | 0.70022 |
| ears | 0.654874 |
| best defense | 0.680871 |
| skin needs protection | 0.802054 |
| ultraviolet protection factor | 0.771803 |
| outdoors | 0.653069 |
| manual Shade Planning | 0.767158 |
| sun safety | 0.731502 |
| sun exposure | 0.686461 |
| UVB rays | 0.758633 |
| time | 0.645773 |
| Baseball caps | 0.684086 |
| child | 0.788016 |
| sunscreen product | 0.759086 |
| great protection | 0.698791 |
|
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Centers for Disease Control and Prevention |
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Opioid Overdose |
null |
| chronic pain | 0.226852 |
| opioid abuse | 0.592266 |
| United States | 0.345708 |
| overdose reversers | 0.3814 |
| Human Services | 0.215678 |
| recovery services | 0.21193 |
| effective care | 0.22039 |
| better pain treatment | 0.315822 |
| opioid overdose epidemic | 0.844257 |
| CDC Opioid Overdose | 0.76264 |
| primary care providers | 0.323454 |
| HHS | 0.225428 |
| Prescription Drug Monitoring | 0.366818 |
| prescription opioids | 0.423852 |
|
| CDC A-Z index | 0.369642 |
| addiction prevention | 0.218421 |
| opioid overdose | 0.925144 |
| better research | 0.215151 |
| five-point comprehensive strategy | 0.325997 |
| better track trends | 0.32262 |
| promising state-level interventions | 0.352869 |
| data quality | 0.219188 |
| prescription opioid | 0.537785 |
| Nearly half | 0.229443 |
| United States Department | 0.313191 |
| prevention strategies | 0.218231 |
| better data | 0.215822 |
|
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