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Centers for Disease Control and Prevention |
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Closing U.S. Chemical Warfare Agent Disposal Facilities |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. This page provides information on the closure process and land use after facility closure. |
| chemical disposal facilities | 0.425662 |
| entire facility | 0.296975 |
| public comments | 0.268441 |
| closure waste | 0.298488 |
| chemical warfare agents | 0.640018 |
| federal agency | 0.269631 |
| U.S. Fish | 0.267907 |
| Newport Chemical Agent | 0.346207 |
| disposal facility sites | 0.46585 |
| blister agents | 0.286791 |
| Johnston Island National | 0.324531 |
| environmental permit | 0.347529 |
| standard operating procedures | 0.340928 |
| Chemical Weapons Convention | 0.377507 |
| agent disposal equipment | 0.436901 |
| site managers | 0.276107 |
| chemical analyses | 0.344706 |
| nerve agents | 0.285798 |
| decontamination process | 0.276102 |
| outreach office | 0.268587 |
| local economic conditions | 0.325524 |
| facility personnel | 0.30279 |
| U.S. stockpile | 0.392435 |
| public meetings | 0.268601 |
| agent disposal facility | 0.672917 |
|
| hazardous waste treatment | 0.329057 |
| past levels | 0.274772 |
| bulk containers | 0.277531 |
| Decontamination methods | 0.277766 |
| United States | 0.28657 |
| disposal facility | 0.758954 |
| agent disposal facilities | 0.533463 |
| building sites | 0.27751 |
| Atoll Chemical Agent | 0.352043 |
| interior surfaces | 0.272152 |
| safety reviews | 0.275413 |
| DoD agencies | 0.296134 |
| Air monitoring | 0.344758 |
| closure plans | 0.294105 |
| treaty date | 0.283018 |
| facility operations | 0.294894 |
| Aberdeen Chemical Agent | 0.347708 |
| final mustard munition | 0.356636 |
| chemical agent disposal | 0.935859 |
| chemical disposal facility | 0.447479 |
| hazardous waste | 0.33566 |
| Tooele Chemical Agent | 0.390383 |
| potentially contaminated equipment | 0.344911 |
| commercial disposal facility | 0.428085 |
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| 7751 |
Centers for Disease Control and Prevention |
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Influenza Activity and Vaccination Rates for Current Season |
Telebriefing on U.S. Influenza Activity and Vaccination Rates for Current Season |
| flu circulating. | 0.414971 |
| Jennifer | 0.395663 |
| flu molecule | 0.413617 |
| flu activity | 0.44097 |
| sub type | 0.380072 |
| severe flu seasons. | 0.44041 |
| flu vaccines | 0.438586 |
| pregnant women | 0.509465 |
| worse flu season—or | 0.437176 |
| thomas frieden | 0.503516 |
| early start | 0.378416 |
| press star | 0.377245 |
| flu season. | 0.440331 |
| high level activity | 0.409119 |
| mike stobbe | 0.378539 |
| regular flu season | 0.519458 |
| salt lake city | 0.386133 |
| elizabeth weiss | 0.444367 |
| different flu seasons | 0.465693 |
| severe flu season | 0.520332 |
| flu vaccination rates | 0.473422 |
| best tool | 0.378621 |
| flu strains | 0.422139 |
| Dr. Melinda Wharton | 0.394183 |
| lauren browne | 0.382378 |
|
| influenza | 0.434456 |
| Dr. Frieden | 0.425704 |
| flu vaccine | 0.443416 |
| flu view | 0.50362 |
| prentiss findlay | 0.380082 |
| flu shots | 0.416709 |
| flu vaccine. | 0.439499 |
| health care workers | 0.575823 |
| National Influenza Vaccination | 0.385774 |
| carrie feibel | 0.401003 |
| flu view map | 0.45096 |
| question | 0.573056 |
| people | 0.448487 |
| influenza vaccination | 0.397641 |
| flu | 0.819259 |
| bad flu | 0.480536 |
| Melinda Wharton | 0.766085 |
| tom skinner | 0.921927 |
| Dr. Melinda Wharton. | 0.382554 |
| OPERATOR | 0.398613 |
| flu season | 0.707087 |
| bad flu season | 0.45123 |
| Dr. Thomas Frieden | 0.386939 |
| earliest regular flu | 0.46629 |
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| 8655 |
Centers for Disease Control and Prevention |
Html |
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American Indian/Alaska Native Matte Article - Tips From Former Smokers - Smoking & Tobacco Use |
Pre-written article intended for the general public, ready for adaptation and use by journalists, bloggers, or other members of the media. about the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| smoking rates | 0.595215 |
| CDC | 0.531197 |
| ghost walker | 0.458987 |
| long-term damage | 0.486025 |
| CDC study | 0.494219 |
| AI/AN men | 0.485254 |
| AI/AN smokers | 0.5306 |
| medical journal | 0.459318 |
| campaign ads | 0.513868 |
| AI/AN women | 0.484863 |
| Disease Control | 0.492246 |
| CDC’s Office | 0.498962 |
| Michael | 0.469946 |
| Smokers® campaign | 0.512844 |
| hard-hitting TV commercials | 0.661982 |
| permanent lung damage | 0.605996 |
| visit CDC.gov/tips | 0.454799 |
| Native American | 0.46288 |
| racial/ethnic groups | 0.493073 |
| asthma attacks | 0.459472 |
| adult life | 0.476211 |
| Corinne Graffunder | 0.468134 |
| Smokers campaign | 0.562425 |
| national tobacco education | 0.651114 |
| prewritten matte article | 0.678842 |
|
| real people | 0.63688 |
| Native Americans | 0.468755 |
| obstructive pulmonary disease | 0.617393 |
| Oglala Sioux tribe | 0.60944 |
| Tips campaign | 0.694333 |
| United States | 0.63191 |
| lung transplant | 0.474816 |
| AI/AN population | 0.478772 |
| smokers | 0.572441 |
| general population | 0.472997 |
| daily basis | 0.458136 |
| lung damage | 0.615734 |
| cigarette smoking | 0.925087 |
| Nathan | 0.520929 |
| smoking | 0.966096 |
| tribal dance competitions | 0.608319 |
| CDC’s Tips | 0.519019 |
| U.S. adults | 0.477031 |
| quit smoking | 0.696249 |
| cigarette smoking prevalence | 0.833016 |
| AI/AN adults | 0.483647 |
| campaign period | 0.474044 |
| Tlingit tribe | 0.47928 |
| American Indian/Alaska Native | 0.659513 |
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| 8800 |
Centers for Disease Control and Prevention |
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Naegleria fowleri - Pathogen & Environment |
Information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals |
| warm fresh water | 0.553268 |
| Immunol Med Microbiol. | 0.544665 |
| water temperatures | 0.542707 |
| Beach MJ | 0.559933 |
| PAM infections | 0.544039 |
| da Silva AJ | 0.565925 |
| Acute pyogenic meningitis | 0.541206 |
| Br Med J. | 0.543477 |
| Giardia lamblia cyst | 0.547271 |
| adverse environmental changes | 0.542814 |
| sea water | 0.54034 |
| Appl Environ Microbiol. | 0.693115 |
| nonpathogenic free-living amoebas | 0.543846 |
| Fatal Naegleria fowleri | 0.701347 |
| household water systems | 0.54457 |
| autopsy tissue samples | 0.54539 |
| Giardia cysts | 0.550719 |
| Clin Infect Dis. | 0.573407 |
| amebic meningoencephalitis Chapter | 0.571805 |
| Ollevier F. Effects | 0.537757 |
| Naegleria fowleri trophozoites | 0.726273 |
| Visvesvara GS | 0.558883 |
| trophozoite stage | 0.544066 |
| opportunistic free-living amoebae | 0.550328 |
|
| Naegleria fowleri detection | 0.700757 |
| severe brain infection | 0.54732 |
| Water Sci Technol. | 0.543746 |
| primary amebic meningoencephalitis | 0.807594 |
| environmental changes | 0.544401 |
| cold temperatures | 0.554978 |
| Trop Med Parasitol. | 0.539502 |
| Naegleria fowleri cysts | 0.731278 |
| pathogenic Naegleria | 0.640548 |
| hot springs | 0.547027 |
| Naegleria fowleri | 0.983301 |
| natural Naegleria fowleri | 0.712288 |
| resistant cysts | 0.549648 |
| Naegleria lovaniensis | 0.607248 |
| pathogenic free-living amoebae | 0.554297 |
| single nucleus | 0.54552 |
| Yoder JS | 0.538012 |
| longer disinfection times | 0.539074 |
| chlorine | 0.539562 |
| better environmental conditions | 0.544339 |
| disinfected water bodies | 0.545128 |
| Gerba C. Inactivation | 0.544382 |
| higher temperatures | 0.559868 |
| nonpathogenic Naegleria | 0.609772 |
|
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| 10142 |
Centers for Disease Control and Prevention |
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Pneumonia: Home page |
Pneumonia is an infection of the lungs that can cause mild to severe illness in people of all ages. It is the leading cause of death in children younger than 5 years… |
| good care | 0.634431 |
| generally mild illness | 0.688273 |
| pneumococcal disease… | 0.568511 |
| cough | 0.515575 |
| pneumococcus | 0.540884 |
| U.S. children | 0.605869 |
| severe type | 0.573232 |
| lungs | 0.516312 |
| immune systems… | 0.567789 |
| medical problems | 0.632038 |
| EPIC study | 0.562807 |
| bacteria Streptococcus pneumoniae | 0.662038 |
| ventilator-associated pneumonia | 0.79412 |
| respiratory infections | 0.617138 |
| bronchiolitis | 0.516274 |
| Streptococcus pneumoniae | 0.664235 |
| RSV | 0.553529 |
| medical conditions | 0.565621 |
| difficulty breathing | 0.574481 |
| respiratory syncytial virus | 0.677202 |
| infectious cause | 0.664459 |
| common cold | 0.567138 |
| Common signs | 0.576522 |
| contagious respiratory illness | 0.712358 |
| United States | 0.636095 |
|
| vaccines | 0.547647 |
| adults | 0.524843 |
| important cause | 0.655619 |
| severe illness… | 0.573642 |
| upper respiratory illness | 0.819001 |
| pneumonia | 0.990127 |
| mild upper respiratory | 0.688496 |
| heart disease | 0.564906 |
| smoking | 0.525159 |
| bacterial pneumonia | 0.793276 |
| bacteria Mycoplasma pneumoniae | 0.658291 |
| cause pneumonia | 0.884729 |
| common cause | 0.761282 |
| pneumocystis pneumonia | 0.781607 |
| people | 0.527399 |
| good hygiene practices | 0.633134 |
| old worldwide | 0.57389 |
| viral pneumonia | 0.795404 |
| children’s hospitals | 0.563399 |
| influenza viruses | 0.575228 |
| common causes | 0.574475 |
| adult medical centers | 0.618797 |
| community-acquired pneumonia hospitalizations | 0.825843 |
| severe illness | 0.636102 |
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| 10360 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Native American Race, Use of the Indian Health Service, and Breast and Lung Cancer Survival in Florida, 1996-2007 - CDC |
We evaluated associations of race, primary payer at diagnosis, and survival among patients diagnosed in Florida with lung cancer (n = 148,140) and breast cancer (n = 111,795), from 1996 through 2007. In multivariate models adjusted for comorbidities, tumor characteristics, and treatment factors, breast cancer survival was worse for Native American women than for white women (hazard ratio [HR], 1.52; 95% confidence interval [CI], 1.05–2.20) and for women using the Indian Health Service than for women using private insurance (HR, 1.71; 95% CI, 1.33–2.19). No survival association was found for Native American compared with white lung cancer patients or those using the Indian Health Service versus private insurance in fully adjusted models. Additional resources are needed to improve surveillance strategies and to reduce cancer burden in these populations. |
| Native American community | 0.503486 |
| fully adjusted model | 0.536341 |
| Florida Cancer Data | 0.514869 |
| IHS regions | 0.50173 |
| female breast cancer | 0.625854 |
| IHS users | 0.516733 |
| Sylvester Comprehensive Cancer | 0.524523 |
| primary payer | 0.603861 |
| white lung cancer | 0.539826 |
| Native American groups | 0.50207 |
| cancer care costs | 0.497546 |
| lung cancer | 0.797305 |
| Native American women | 0.528642 |
| IHS providers | 0.513036 |
| worse survival | 0.527125 |
| IHS | 0.70128 |
| fully adjusted models | 0.558946 |
| Native American race | 0.806219 |
| Miami Miller School | 0.547982 |
| private insurance | 0.675906 |
| cancer burden | 0.499839 |
| Incident lung cancer | 0.525536 |
| Florida population-based cancer | 0.51316 |
| Native American population | 0.503592 |
|
| health care | 0.51473 |
| Native American | 0.825226 |
| lung cancer patients | 0.715716 |
| lung cancer survival | 0.557172 |
| cancer care | 0.512205 |
| current cancer care | 0.499964 |
| breast cancer patients | 0.638393 |
| breast cancer survival | 0.566085 |
| self-reported Native American | 0.505736 |
| IHS services | 0.516309 |
| IHS vs | 0.511716 |
| Native American communities | 0.501797 |
| breast cancer | 0.781632 |
| neighborhood area poverty | 0.552398 |
| Comprehensive Cancer Center | 0.525058 |
| Public Health Sciences | 0.513129 |
| Indian Health Service | 0.652703 |
| breast cancer mortality | 0.508556 |
| Native Americans patients | 0.525646 |
| high-quality cancer care | 0.497257 |
| area poverty levels | 0.552972 |
| IHS health services | 0.574466 |
| univariate model | 0.503455 |
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Preventing Chronic Disease | Prevalence of Cigarette Advertising and Other Promotional Strategies at the Point of Sale in St Louis, Missouri: Analysis by Store Type and Distance From a School - CDC |
Point-of-sale advertising provides an opportunity for the tobacco industry to communicate with current and potential smokers. The US Family Smoking Prevention and Tobacco Control Act allows states to implement policies requiring that tobacco products be placed out of sight, and the Food and Drug Administration is considering banning point-of-sale advertising within 1,000 feet of schools. Our objective was to compare cigarette point-of-sale advertising near schools with grades prekindergarten through 12 and by store type. |
| cigarette retailers | 0.260865 |
| Tobacco Control Act | 0.492748 |
| point-of-sale advertising merits | 0.28956 |
| tobacco control programs | 0.254615 |
| school | 0.307303 |
| retail cigarette advertising | 0.308059 |
| cigarette advertising | 0.636739 |
| cigarette promotional item | 0.271564 |
| comprehensive advertising ban | 0.342097 |
| market tobacco products | 0.255703 |
| point-of-sale advertising increases | 0.328343 |
| St Louis | 0.552373 |
| favorite cigarette advertisement | 0.25763 |
| tobacco products | 0.33386 |
| small markets | 0.274952 |
| young adults | 0.297808 |
| Introduction
Point-of-sale advertising | 0.330133 |
| Family Smoking Prevention | 0.451479 |
| smoking prevalence | 0.317175 |
| point-of-sale tobacco advertising | 0.345576 |
| point-of-sale advertising influences | 0.321033 |
| S. Cigarette advertising | 0.299628 |
| cigarette functional items | 0.336919 |
| distance | 0.303604 |
| convenience stores | 0.421921 |
|
| United States | 0.284311 |
| point-of-sale advertising | 0.928877 |
| St Louis City | 0.29804 |
| tobacco advertising | 0.363953 |
| Tobacco point-of-sale advertising | 0.404033 |
| largest cigarette markets | 0.254012 |
| outdoor tobacco advertising | 0.285938 |
| total cigarette ads | 0.283264 |
| total number | 0.278717 |
| main advertising channel | 0.253561 |
| public health | 0.27659 |
| tobacco retailers | 0.316552 |
| cigarette point-of-sale advertising | 0.792073 |
| store type | 0.464902 |
| unplanned cigarette purchases | 0.30315 |
| comprehensive ban | 0.273328 |
| Tob Control | 0.377238 |
| exterior advertising | 0.258599 |
| point-of-sale cigarette advertising | 0.417886 |
| cigarette industry spending | 0.255145 |
| liquor stores | 0.32435 |
| tobacco industry marketing | 0.311819 |
| store types | 0.277313 |
| cigarette advertisement | 0.282634 |
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| 11599 |
Centers for Disease Control and Prevention |
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Announcement: Now Available Online: Final 2013-14 InfluenzaVaccination Coverage Estimates for Selected Local Areas, States,and the United States |
Final 2013–14 influenza season vaccination coverage estimates are now available online at FluVaxView (http://www.cdc.gov/flu/fluvaxview). |
| endorsement | 0.501205 |
| http://www.cdc.gov/flu/fluvaxview | 0.430967 |
| Human Services | 0.911762 |
| influenza vaccination data | 0.784092 |
| select local areas | 0.755478 |
| U.S. Department | 0.903432 |
| MMWR HTML versions | 0.715311 |
| online information | 0.60177 |
| Human Services region | 0.768109 |
| identification | 0.427345 |
| National | 0.428502 |
| children | 0.428436 |
| electronic PDF version | 0.69585 |
| estimates | 0.613679 |
| cumulative percentage | 0.613239 |
| Immunization | 0.437122 |
| Contact GPO | 0.613801 |
| commercial sources | 0.573402 |
| current prices | 0.562918 |
| persons | 0.430641 |
| Survey | 0.428483 |
| original paper copy | 0.694994 |
| Surveillance System data | 0.575827 |
| online summary report | 0.730455 |
|
| Behavioral Risk Factor | 0.726735 |
| United States | 0.59178 |
| U.S. Government Printing | 0.698892 |
| age group | 0.577563 |
| adults | 0.428314 |
| Superintendent | 0.433909 |
| MMWR readers | 0.582574 |
| character translation | 0.561413 |
| race/ethnicity | 0.428011 |
| MMWR paper copy | 0.709239 |
| end | 0.430602 |
| FluVaxView | 0.430987 |
| format errors | 0.571362 |
| coverage | 0.431057 |
| Health | 0.481383 |
| typeset documents | 0.578003 |
| trade names | 0.573577 |
| http://www.cdc.gov/flu/fluvaxview/interactive.htm | 0.427719 |
| official text | 0.558588 |
| non-CDC sites | 0.572044 |
| References | 0.427001 |
| interactive report | 0.57691 |
| electronic conversions | 0.562788 |
| influenza season vaccination | 0.818007 |
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Centers for Disease Control and Prevention |
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Epilepsy Fast Facts - Epilepsy - Division of Population Health |
Find out about epilepsy in the U.S., such as how many people have epilepsy.
|
| epilepsy | 0.999195 |
| different ways | 0.583905 |
| NHIS | 0.430465 |
| United States | 0.566302 |
| dollar value | 0.565502 |
| underlying medical condition | 0.737715 |
| adults | 0.463864 |
| active epilepsy | 0.869079 |
| life | 0.433455 |
| times | 0.433572 |
| children | 0.457135 |
| school | 0.430092 |
| direct cost | 0.558976 |
| multiple types | 0.580768 |
| causes | 0.456895 |
| seizures | 0.873164 |
| doctor-diagnosed epilepsy | 0.738306 |
| spells | 0.434176 |
| addition | 0.431778 |
|
| Read common questions | 0.699835 |
| severity | 0.441085 |
| different kinds | 0.571575 |
| impact | 0.433526 |
| Labor Statistics data | 0.696607 |
| medication | 0.430737 |
| history | 0.430415 |
| brain | 0.472318 |
| people | 0.51189 |
| different conditions | 0.552857 |
| factors | 0.430831 |
| active epilepsy.1,2 Think | 0.68022 |
| person | 0.704796 |
| high fever | 0.595232 |
| medical conditions | 0.563889 |
| reported cost | 0.563036 |
| major role | 0.578978 |
| seizure disorder | 0.577983 |
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Centers for Disease Control and Prevention |
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Family History and Other Characteristics That Increase Risk for Heart Disease |
A family history of heart disease increases your risk. Having other risk factors can put you at even greater risk. |
| play | 0.417733 |
| Health Genomics web | 0.608158 |
| unhealthy diet | 0.530399 |
| smoking cigarettes | 0.503902 |
| CDC’s Office | 0.510198 |
| related conditions | 0.506438 |
| health conditions | 0.513532 |
| Genetic factors | 0.507974 |
| generation | 0.417923 |
| genes | 0.445001 |
| behaviors | 0.420865 |
| heredity | 0.46147 |
| lifestyles | 0.421346 |
| American Indians | 0.495654 |
| Public Health Genomics | 0.761003 |
| Asian Americans | 0.49473 |
| Family members share | 0.631945 |
| women | 0.428334 |
| Age. Your risk | 0.503152 |
| role | 0.417722 |
| ethnicity | 0.480989 |
| death | 0.428462 |
| Family Health Portrait | 0.608812 |
| United States | 0.497954 |
| family history information | 0.60085 |
|
| cause | 0.429449 |
| unhealthy lifestyle choices | 0.615912 |
| genetics | 0.417015 |
| heart disease | 0.952527 |
| non-Hispanic blacks | 0.52933 |
| potential factors | 0.506031 |
| useful tool | 0.500135 |
| non-Hispanic whites | 0.526203 |
| federal agencies | 0.499668 |
| Sex. Heart disease | 0.6159 |
| process | 0.417884 |
| race | 0.447414 |
| family pass traits | 0.615484 |
| heart disease share | 0.640423 |
| people | 0.433748 |
| heart disease increases | 0.620359 |
| Pacific Islanders | 0.500502 |
| Surgeon General | 0.498872 |
| site | 0.416951 |
| Family health history | 0.742217 |
| Web-based tool | 0.498207 |
| high blood pressure | 0.598585 |
| health risks | 0.512117 |
| common environments | 0.505175 |
|
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