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Centers for Disease Control and Prevention |
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Light, Low, Mild or Similar Descriptors |
null |
| CDC | 0.425325 |
| Shiffman | 0.437458 |
| FDA Regulations | 0.545699 |
| motivation | 0.427357 |
| Human Services | 0.529241 |
| Tobacco Control Act | 0.920079 |
| similar descriptors | 0.577984 |
| MRTP order | 0.535269 |
| smokers | 0.473649 |
| Research | 0.428592 |
| smoking-related cancers | 0.569082 |
| thinking | 0.427187 |
| U.S. Department | 0.529544 |
| Disease Control | 0.614513 |
| public | 0.454982 |
| terms | 0.428853 |
| Tindle | 0.436844 |
| heavy health risk | 0.686823 |
|
| light cigarettes | 0.708464 |
| Hartman | 0.429209 |
| Bost J. Switching | 0.670105 |
| Center | 0.441626 |
| manufacturers | 0.450965 |
| fewer health problems | 0.703831 |
| diseases | 0.426196 |
| Sources | 0.425742 |
| risk tobacco product | 0.935397 |
| rigorous criteria | 0.547892 |
| tobacco products | 0.738794 |
| sale | 0.425338 |
| health fraud | 0.53397 |
| claims | 0.450412 |
| Modified Risk Tobacco | 0.727926 |
| Tobacco Control. | 0.603304 |
| Product order | 0.535159 |
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| 4705 |
Centers for Disease Control and Prevention |
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Salmonella and Eggs | CDC Features |
Eggs are one of nature’s most nutritious and economical foods, but you must take special care when handling and preparing fresh eggs and egg products to avoid foodborne illness, sometimes called food poisoning. |
| Salmonella | 0.514294 |
| cancer treatment | 0.454177 |
| raw eggs | 0.673937 |
| colder water | 0.458021 |
| diarrhea many times | 0.461591 |
| local regulations | 0.455585 |
| wash eggs | 0.639482 |
| immune systems | 0.516485 |
| organ transplants | 0.452766 |
| hollandaise sauce | 0.461566 |
| eggs | 0.991173 |
| Collect eggs | 0.645925 |
| antibiotic treatment | 0.4581 |
| Bloody stools | 0.460894 |
| fresh eggs | 0.697377 |
| Cook eggs | 0.717513 |
| undercooked eggs | 0.647222 |
| local licensing requirements | 0.499029 |
| economical foods | 0.468568 |
| foodborne illness | 0.467332 |
| Egg dishes | 0.470026 |
| internal temperature | 0.461671 |
| special care | 0.469778 |
| clean coop | 0.456799 |
| Abdominal cramps | 0.463999 |
|
| Salmonella bacteria | 0.479969 |
| room temperature | 0.460699 |
| Refrigerate eggs | 0.647675 |
| kitchen sink | 0.456458 |
| water dishes indoors | 0.50745 |
| backyard flock | 0.455284 |
| Shell eggs | 0.645721 |
| boards—with soap | 0.457951 |
| raw eggs—including | 0.460023 |
| regular basis | 0.454619 |
| Wash hands | 0.523876 |
| lightly cooked eggs | 0.863458 |
| dirty eggs | 0.690938 |
| food poisoning | 0.466365 |
| poultry | 0.487866 |
| High fever | 0.458116 |
| organ transplant | 0.455826 |
| sick person | 0.45995 |
| Older adults | 0.455112 |
| fine sandpaper | 0.457637 |
| Caesar salad dressing | 0.511633 |
| poultry feed | 0.461881 |
| healthcare provider | 0.458527 |
| live poultry | 0.46393 |
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Centers for Disease Control and Prevention |
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More teen males using condoms - Press Release: October 12, 2011 |
More teen males using condoms |
| exception | 0.304483 |
| highest percentages | 0.623648 |
| CDC’s National | 0.459757 |
| Hispanic males | 0.575245 |
| teen males | 0.971485 |
| Disease Control | 0.47097 |
| female teenagers | 0.423525 |
| commonly used method | 0.62692 |
| percentage point increase | 0.747323 |
| Sexual Activity | 0.460222 |
| contraceptive method | 0.494642 |
| United States | 0.726104 |
| Hispanic origin | 0.415729 |
| Non–Hispanic black males | 0.752881 |
| contraceptives | 0.252265 |
| contraceptive patch | 0.501169 |
| exceptions | 0.249862 |
| Health Statistics | 0.458239 |
| latest survey | 0.415464 |
| sexual experience | 0.434363 |
| never–married female teens | 0.639015 |
| HUMAN SERVICES | 0.421996 |
| condom | 0.525071 |
| Centers | 0.246958 |
| study | 0.2457 |
|
| condoms | 0.250179 |
| race groups. | 0.417828 |
| hormonal method | 0.723459 |
| percent | 0.771658 |
| female partner | 0.449499 |
| non–pill hormonal method | 0.685878 |
| percentage points | 0.505113 |
| significant increase | 0.44425 |
| long term improvements | 0.600394 |
| Prevention | 0.246894 |
| Childbearing | 0.260635 |
| hormonal methods | 0.50458 |
| never–married male teens | 0.643947 |
| sexual intercourse | 0.446953 |
| U.S. DEPARTMENT | 0.42233 |
| Family Growth | 0.466472 |
| National Survey | 0.451625 |
| injectables | 0.254802 |
| teen females | 0.46128 |
| Center | 0.246052 |
| pregnancy risk behaviors | 0.600904 |
| sex | 0.507467 |
| hormonal contraceptive | 0.591863 |
| report | 0.343617 |
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Centers for Disease Control and Prevention |
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Evaluation of a Neighborhood Rat-Management Program - New York City, December 2007-August 2009 |
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. |
| indexing zone | 0.557946 |
| municipal rat control | 0.549174 |
| rat populations | 0.490804 |
| rat indexing program | 0.775137 |
| pilot rat indexing | 0.626193 |
| indexing inspections | 0.497684 |
| rat infestations | 0.506793 |
| rat sighting complaints | 0.531481 |
| fresh gnawing marks | 0.458887 |
| New York City | 0.995092 |
| rat control measures | 0.597881 |
| York City neighborhoods | 0.4505 |
| rat infestation | 0.866195 |
| rodent control | 0.530345 |
| Urban rodent control | 0.433744 |
| rat indexing | 0.822897 |
| rat management | 0.556932 |
| rat control program | 0.623607 |
| Norway rat | 0.592375 |
| York City program | 0.437519 |
| rat indexing data | 0.688031 |
| rat control programs | 0.629325 |
| total ARS scores | 0.451292 |
| public property inspections | 0.438321 |
| severe rat infestation | 0.765676 |
|
| rat information portal | 0.551215 |
| ARS | 0.492133 |
| Internet-based rat information | 0.549642 |
| rat harborage conditions | 0.556502 |
| rat management programs | 0.529326 |
| rat activity | 0.603128 |
| rapid indexing inspections | 0.459686 |
| severe rat problems | 0.54118 |
| property owners | 0.527971 |
| proactive indexing inspections | 0.453005 |
| typical complaint-based inspections | 0.461032 |
| pervasive urban rodent | 0.434223 |
| persistent rat infestation | 0.770567 |
| privately owned properties | 0.43535 |
| active rat signs | 0.637958 |
| rat control | 0.663526 |
| rat remediation | 0.488433 |
| indexing zone residents | 0.467235 |
| Vertebrate Pest Conference | 0.448112 |
| York City Department | 0.504125 |
| Urban rat | 0.508977 |
| large-scale rat control | 0.556346 |
| compliance inspection | 0.463912 |
| properties | 0.572061 |
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Preventing Chronic Disease | Association Between Prevalence of Chronic Obstructive Pulmonary Disease and Health-Related Quality of Life, South Carolina, 2011 - CDC |
We investigated the prevalence of chronic obstructive pulmonary disease (COPD) in various population subgroups in South Carolina and examined associations between COPD and 4 core measures of health-related quality of life (HRQOL). |
| self-reported diagnosis | 0.64414 |
| COPD prevalence rate | 0.458897 |
| COPD patients | 0.373496 |
| overall age-adjusted prevalence | 0.338017 |
| data | 0.289058 |
| mental health | 0.384743 |
| disease prevalence | 0.301473 |
| higher prevalence | 0.328074 |
| Risk Factor Surveillance | 0.291436 |
| self-reported history | 0.375997 |
| self-reported diagnoses | 0.292393 |
| South Carolina | 0.937139 |
| self-reported copd | 0.801786 |
| population subgroups | 0.430027 |
| current smokers | 0.303523 |
| self-reported copd prevalence | 0.542792 |
| Carolina BRFSS program | 0.296389 |
| self-reported race/ethnicity | 0.304277 |
| smoking status | 0.304378 |
| COPD prevalence rates | 0.518021 |
| Susan E. Steck | 0.290121 |
| general health status | 0.535072 |
| public health | 0.335336 |
|
| health insurance coverage | 0.464063 |
| multivariate logistic regression | 0.316843 |
| health-related quality | 0.300629 |
| poor general health | 0.339754 |
| state-specific prevalence estimates | 0.296677 |
| activity limitation | 0.31324 |
| chronic diseases | 0.294209 |
| COPD study population | 0.470738 |
| South Carolina BRFSS | 0.40145 |
| COPD prevalence | 0.752658 |
| various population subgroups | 0.34292 |
| age groups | 0.302554 |
| COPD patient | 0.381431 |
| COPD disparities | 0.377865 |
| referent group | 0.287659 |
| high school diploma | 0.349447 |
| HRQOL | 0.366236 |
| logistic regression models | 0.373278 |
| COPD duration | 0.371982 |
| Behavioral Risk Factor | 0.291493 |
| obstructive pulmonary disease | 0.506354 |
| COPD status | 0.440583 |
| COPD | 0.919487 |
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¿Sabe qué es la talasemia? |
La talasemia es una enfermedad grave que puede causar daño a los órganos e incluso la muerte. Obtenga más información sobre los problemas relacionados con la salud, el tratamiento, el trabajo de los CDC y lo que usted puede hacer para ayudar. |
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Centers for Disease Control and Prevention |
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CDC Expands Passenger Notification | Media Statement | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| household bleach | 0.519678 |
| Centers | 0.426798 |
| CDC | 0.665965 |
| urine | 0.425258 |
| Texas Presbyterian Hospital | 0.665614 |
| questions | 0.424419 |
| Oct. | 0.622107 |
| abrasion | 0.424431 |
| Cleveland | 0.506719 |
| eyes | 0.441286 |
| vomit | 0.427446 |
| interviews | 0.42695 |
| Prevention | 0.42676 |
| Dallas/Fort Worth | 0.780663 |
| mucous membranes | 0.53217 |
| Disease Control | 0.548426 |
| direct contact | 0.601425 |
| guidelines | 0.422087 |
| 800-CDC INFO | 0.662053 |
| Public health professionals | 0.647096 |
| healthcare worker | 0.821837 |
| additional information | 0.544125 |
|
| airline passengers | 0.612795 |
| nose | 0.446231 |
| passengers | 0.713216 |
| Frontier flight | 0.671424 |
| outreach | 0.426706 |
| Dallas Fort Worth | 0.663121 |
| body fluids | 0.613719 |
| hospital-grade disinfectants | 0.524184 |
| potential risk | 0.537915 |
| blood | 0.439778 |
| mucus | 0.432792 |
| Ebola-infected person. Direct | 0.61599 |
| visit http://www.cdc.gov/vhf/ebola | 0.518241 |
| saliva | 0.427646 |
| symptoms | 0.423305 |
| mouth | 0.445273 |
| low-grade fever | 0.542738 |
| close contacts | 0.545762 |
| Frontier Airlines flight | 0.960627 |
| Individuals | 0.424944 |
| feces | 0.430443 |
| appropriate measures | 0.519801 |
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Measles | History of Measles | CDC |
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| U.S. healthcare providers | 0.286915 |
| Francis Home | 0.203292 |
| Persian doctor | 0.202428 |
| nationally notifiable disease | 0.290059 |
| Thomas C. Peebles | 0.272828 |
| American Academy | 0.243465 |
| John Enders | 0.202533 |
| United States | 0.750462 |
| vaccinated school-aged children | 0.261458 |
| better measles control | 0.580652 |
| 13-year-old David Edmonston | 0.272069 |
| measles outbreak | 0.547368 |
|
| measles cases | 0.539826 |
| Scottish physician | 0.203204 |
| weaker measles vaccine | 0.715551 |
| first-dose MMR vaccine | 0.372447 |
| effective vaccination program | 0.256487 |
| measles outbreaks | 0.505806 |
| John F. Enders | 0.282405 |
| measles vaccine | 0.99382 |
| continuous disease transmission | 0.244956 |
| measles disease | 0.601107 |
| infectious agent | 0.200866 |
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Doffing: Role Clarity for Doffing Assistant PersonalProtective Equipment (PPE) | Ebola Hemorrhagic Fever | CDC |
null |
| N95 Respirator | 0.490508 |
| coverall | 0.263866 |
| cases | 0.285282 |
| role | 0.281491 |
| doffing area | 0.717759 |
| health care provider | 0.820602 |
| Trained Observer | 0.59314 |
| appropriate PPE | 0.416339 |
| areas | 0.2409 |
| Doffing Assistant | 0.963479 |
| colleague | 0.40787 |
|
| gown | 0.247741 |
| contamination | 0.244393 |
| wipes | 0.249185 |
| signs | 0.239315 |
| direct assistance | 0.366746 |
| healthcare provider | 0.363909 |
| person | 0.298905 |
| PAPR | 0.244363 |
| hand hygiene | 0.556983 |
| protocols | 0.243776 |
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My Daughter Died From a Vaccine Preventable Disease | Public Health Matters Blog |
CDC - Blogs - Public Health Matters Blog – My Daughter Died From a Vaccine Preventable DiseasePublic Health Matters Blog - Sharing our stories on preparing for and responding to public health events |
| Hendricks’s daughter | 0.250369 |
| Rebecca Hendricks | 0.3274 |
| emergency room | 0.252186 |
| local communities | 0.286313 |
| trouble breathing. | 0.254784 |
| new foundation | 0.25767 |
| HealthinAging.org’s Blog-a-thon | 0.245067 |
| small following online | 0.287468 |
| Disease Control | 0.24302 |
| young children | 0.248611 |
| flu vaccination | 0.533723 |
| tragic flu stories | 0.47048 |
| different community vendors | 0.285183 |
| blog-a-thon post | 0.27308 |
| contact FluInbox | 0.245615 |
| NIVW Badge | 0.244211 |
| important role | 0.251112 |
| flu vaccination. Look | 0.455577 |
| high risk | 0.349326 |
| older children | 0.247807 |
| Flu Foundation | 0.550114 |
| daughter | 0.253725 |
| flu awareness | 0.426222 |
| controversial subject | 0.245851 |
| United States | 0.24871 |
|
| Rebecca | 0.388723 |
| flu vaccine | 0.709217 |
| Prevention states | 0.243019 |
| similar stories | 0.248634 |
| flu-related complications | 0.364965 |
| Developing Flu-Related Complications | 0.296308 |
| flu vaccine. | 0.442856 |
| vaccine preventable disease | 0.317558 |
| National Influenza Vaccination | 0.289157 |
| holiday season | 0.245693 |
| social media | 0.246421 |
| routine childhood vaccinations | 0.281684 |
| yearly practice | 0.248962 |
| healthcare field | 0.244645 |
| urgent care center | 0.293415 |
| Big breakouts | 0.249585 |
| flu vaccinations | 0.432579 |
| families | 0.278946 |
| flu | 0.908074 |
| visit People | 0.244052 |
| Scarlet Anne Taylor | 0.298735 |
| Flu section | 0.414063 |
| healthcare workers | 0.244622 |
| huge sickness | 0.245634 |
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