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Centers for Disease Control and Prevention |
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Don't Let Measles Be Your Travel Souvenir | CDC Features |
Stay safe and healthy when traveling abroad. Measles spreads easily through coughing and sneezing. It can cause serious illness, even death. Make sure you and your family are vaccinated for measles before you travel. |
| health risk | 0.568997 |
| home fun souvenirs | 0.631288 |
| traveler | 0.512548 |
| best way | 0.566822 |
| photos | 0.513609 |
| coughing | 0.563152 |
| trip | 0.528908 |
| children | 0.526178 |
| majority | 0.513216 |
| multi-state outbreak | 0.573901 |
| Europe | 0.513159 |
| Africa | 0.513154 |
| diseases | 0.527963 |
| countries | 0.525044 |
| Worldwide | 0.513236 |
| California | 0.512823 |
| travelers | 0.524384 |
| unvaccinated U.S. residents | 0.621437 |
| symptoms | 0.514046 |
| dose | 0.529769 |
| outbreaks | 0.513967 |
| doses | 0.554679 |
| death | 0.515534 |
| United States | 0.636624 |
| air | 0.513488 |
|
| measles cases | 0.804003 |
| Check CDC | 0.562766 |
| sneezing | 0.54543 |
| Stay | 0.515093 |
| illness | 0.513968 |
| disease | 0.545353 |
| breathing | 0.513272 |
| Health website | 0.55949 |
| unvaccinated people | 0.563439 |
| infected person | 0.568199 |
| vaccine protects | 0.576341 |
| doctor | 0.533823 |
| rash | 0.532907 |
| international travel— | 0.568002 |
| Asia | 0.513149 |
| Pacific | 0.513139 |
| information | 0.512352 |
| amusement park | 0.567487 |
| Measles spreads | 0.830901 |
| family | 0.531212 |
| measles-mumps-rubella | 0.51711 |
| measles | 0.965053 |
| fantastic memories—NOT measles | 0.806382 |
| MMR vaccine | 0.702915 |
|
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| 8697 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables, April 26, 2013 |
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. |
| H. influenzae | 0.385129 |
| National Center | 0.301583 |
| cases | 0.436533 |
| CDC | 0.294622 |
| novel influenza | 0.643924 |
| Total case counts | 0.467161 |
| pandemic influenza | 0.951943 |
| measles cases | 0.342141 |
| ** Data | 0.347558 |
|
| Cumulative total E. | 0.475127 |
| Influenza Division | 0.442359 |
| 2009 pandemic | 0.765397 |
| probable cases | 0.328045 |
| Respiratory Diseases | 0.308075 |
| rubella cases | 0.31017 |
| human infection | 0.329997 |
| influenza A virus | 0.477823 |
|
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| 10345 |
Centers for Disease Control and Prevention |
Html |
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Making Health Care Safer | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Health Grand Rounds | 0.386178 |
| right antibiotic | 0.5501 |
| Mortality Weekly Report | 0.377915 |
| Antibiotic Prescribing Practices | 0.742449 |
| antibiotic prescription | 0.545276 |
| Tom Frieden | 0.390612 |
| Leadership commitment | 0.416068 |
| Inpatient Antibiotic Prescribing | 0.653195 |
| single pharmacist leader | 0.411639 |
| super-resistant infections | 0.406322 |
| new antibiotics | 0.420448 |
| antibiotic stewardship activities | 0.642095 |
| antibiotic prescribing | 0.834616 |
| patients | 0.333139 |
| Improves Antibiotic Prescribing | 0.65588 |
| Signs Issue details | 0.371534 |
| HAI Prevention Stories | 0.507789 |
| improved prescribing | 0.368115 |
| drug choice | 0.399905 |
| powerful antibiotics | 0.417777 |
| health care facilities | 0.396122 |
| drug-resistant Staphylococcus bacteria | 0.398966 |
| Dr. Frieden Medscape | 0.402497 |
| Health Administration hospitals | 0.430641 |
| lung infections | 0.38452 |
|
| antibiotics | 0.550676 |
| deadly diarrheal infections | 0.480387 |
| antibiotic resistance patterns | 0.683215 |
| preventable allergic reactions | 0.408945 |
| antibiotic resistance | 0.946945 |
| C. difficile infection | 0.420827 |
| improvement action | 0.402893 |
| Health Care Blog | 0.389532 |
| antibiotic prescriptions | 0.589039 |
| National Healthcare Safety | 0.389648 |
| antibiotic stewardship programs | 0.645052 |
| Clostridium difficile infection | 0.422895 |
| health care | 0.483484 |
| hospital CEOs/medical officers | 0.418766 |
| poor prescribing practices | 0.490466 |
| right duration | 0.323101 |
| common drug vancomycin | 0.410938 |
| infection control measures | 0.387323 |
| average hospital stay | 0.395168 |
| Drug expertise | 0.324995 |
| new prescribing improvement | 0.438594 |
| urinary tract infections | 0.655478 |
| Antibiotic RX | 0.580304 |
| Safer Patient Care | 0.377939 |
|
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Centers for Disease Control and Prevention |
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Women's Reproductive Health - Division of Reproductive Health |
A woman’s reproductive system is a delicate and complex system in the body. It is important to take steps to protect it from infections and injury, and prevent problems—including some long-term health problems. |
| health insurance | 0.410349 |
| health care provider | 0.560189 |
| health centers | 0.410731 |
| birth control methods | 0.536143 |
| healthy choices | 0.414706 |
| women’s health | 0.450155 |
| unplanned pregnancy | 0.410388 |
| uterus | 0.246245 |
| menopause | 0.348395 |
| long-term health problems | 0.626374 |
| unintended pregnancy | 0.581753 |
| barrier methods | 0.383024 |
| period | 0.256795 |
| surgical removal | 0.375378 |
| reproductive health | 0.686861 |
| steps | 0.272517 |
| birth control | 0.684957 |
| Health Resources Services | 0.555669 |
| contraceptive methods | 0.392053 |
| women | 0.646525 |
| healthy habits | 0.399428 |
| intrauterine contraception | 0.395546 |
| woman | 0.474248 |
| United States | 0.751058 |
| Good preconception health | 0.604202 |
|
| epidemiologic studies | 0.387501 |
| CDC/DRH activities | 0.393516 |
| life | 0.312808 |
| menarche | 0.247016 |
| good first step | 0.375223 |
| preconception health | 0.613791 |
| permanent birth control | 0.540981 |
| federal agencies | 0.37167 |
| ovary stops | 0.384662 |
| hormones estrogen | 0.378871 |
| high priorities | 0.392591 |
| nonprofit organizations | 0.371587 |
| reproductive age | 0.429443 |
| long history | 0.387692 |
| health | 0.916415 |
| infertility | 0.350605 |
| contraceptive practices | 0.396975 |
| normal change | 0.366655 |
| Health Center | 0.418386 |
| fallopian tubes | 0.380667 |
| baby | 0.342264 |
| highly effective methods | 0.532002 |
| A—Z Health Topics | 0.551886 |
| depression | 0.410861 |
|
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| 12582 |
Centers for Disease Control and Prevention |
Video |
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Amanda's Ad | Tips From Former Smokers |
Smoking while you're pregnant can cause serious health problems for you and your baby. In this TV ad for CDC's Tips From Former Smokers campaign, Amanda talks about the time her baby spent in a hospital incubator. Amanda had tried to quit smoking, but she was unable to overcome her addiction to cigarettes. Her baby was born 2 months early, weighing only 3 pounds.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=122d86e4b6c49e6486ed4cceebc42cfe20140620142859500 |
| Smokers | 0.932887 |
| CDC | 0.92604 |
|
| YouTube | 0.871802 |
| Amanda | 0.853385 |
|
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| 13343 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Melanoma | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| skin cancer | 0.960411 |
| UV rays | 0.524969 |
| Task Force | 0.511125 |
| skin cancer prevention | 0.724342 |
| Mortality Weekly Report | 0.504379 |
| Indoor tanning exposes | 0.540148 |
| recreation areas | 0.516334 |
| providers counsel people | 0.508707 |
| common form | 0.467459 |
| Melanoma Incidence | 0.54934 |
| Preventive Services Task | 0.505779 |
| melanoma skin cancers | 0.64193 |
| community skin cancer | 0.550442 |
| skin color | 0.488371 |
| shade structures | 0.467681 |
| melanoma | 0.690844 |
| Signs Issue details | 0.504704 |
| additional prevention efforts | 0.516792 |
| Affordable Care Act | 0.504677 |
| sun protection | 0.646875 |
| life expectancy | 0.464993 |
| mass media campaigns | 0.502162 |
| sun safety | 0.51872 |
| major role | 0.464041 |
| annual treatment costs | 0.509899 |
|
| new cases | 0.470692 |
| childcare centers | 0.520988 |
| broad-spectrum sunscreen | 0.485036 |
| public spaces | 0.514863 |
| lighter skin | 0.4876 |
| Melanoma skin cancer | 0.655401 |
| deadly form | 0.467806 |
| skin protection | 0.569827 |
| Provide sun protection | 0.520443 |
| community prevention programs | 0.532676 |
| protective clothing | 0.508542 |
| cancer prevention efforts | 0.528388 |
| indoor tanning | 0.809475 |
| annual cost | 0.517221 |
| Melanoma Survivor | 0.546663 |
| new melanoma patients | 0.613056 |
| public pools | 0.516209 |
| non-Hispanic white women | 0.511289 |
| protective clothing outdoors | 0.495772 |
| policy makers | 0.463308 |
| new melanoma cases | 0.640941 |
| Promote sun protection | 0.61737 |
| Community Preventive Services | 0.581396 |
| UV exposure | 0.513261 |
|
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Public Health Response to a Changing Climate | CDC Features |
Climate change threatens human health and well-being in many ways. Learn what CDC is doing to prevent and adapt to the possible health effects of climate change. |
| Circumpolar Health Studies | 0.636137 |
| functions | 0.511238 |
| likely climate impacts | 0.741858 |
| potential health effects | 0.642645 |
| Building Resilience | 0.571047 |
| Climate Ready States | 0.723605 |
| human health | 0.596196 |
| BRACE framework | 0.583517 |
| geographic regions | 0.567525 |
| global issue | 0.57147 |
| Climate Effects | 0.670772 |
| climate change | 0.988316 |
| Health Program | 0.673896 |
| critical public health | 0.636092 |
| Health Program supports | 0.642443 |
| well-being | 0.513134 |
| HHS investment | 0.575708 |
| health changes | 0.576306 |
| Alaskan natives | 0.568276 |
| water safety | 0.563462 |
| climate change observers | 0.729048 |
| CDC’s Climate | 0.672983 |
| environmental consequences | 0.572992 |
| shellfish poisoning | 0.56418 |
| possible health effects | 0.647856 |
|
| programs | 0.511653 |
| health effects | 0.682706 |
| Cities Initiative | 0.565272 |
| at-risk populations | 0.576669 |
| health threats | 0.584193 |
| address gaps | 0.572197 |
| ways | 0.513207 |
| systems | 0.511691 |
| health adaptation plans | 0.639456 |
| Alaskan villagers | 0.567048 |
| red tide | 0.563053 |
| villages | 0.511215 |
| future trends | 0.566559 |
| health | 0.688112 |
| sequential steps | 0.56577 |
| sentinel surveillance | 0.564016 |
| services | 0.511232 |
| algae blooms | 0.565398 |
| Alaska Anchorage | 0.562387 |
| precipitation data | 0.564452 |
| climate change adaptation | 0.742177 |
| locations | 0.511368 |
| health risks | 0.583337 |
| scientific world | 0.564634 |
|
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Centers for Disease Control and Prevention |
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A Longitudinal Study of Structural Risk Factors for Obesity and Diabetes Among American Indian Young Adults, 1994-2008 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| neighborhood mobility | 0.318366 |
| American Indian participants | 0.295116 |
| health care provider | 0.300593 |
| average neighborhood poverty | 0.301506 |
| National Longitudinal Study | 0.300999 |
| neighborhood poverty rate | 0.385489 |
| type | 0.331302 |
| social determinants | 0.414615 |
| future research | 0.365718 |
| block group data | 0.459837 |
| obesity | 0.430085 |
| Add Health data | 0.297929 |
| neighborhood collective efficacy | 0.445876 |
| American Indian adolescents | 0.405268 |
| elevated HbA1c | 0.462974 |
| control variables | 0.38247 |
| neighborhood poverty | 0.515804 |
| structural risk factors | 0.429944 |
| American Indian sample | 0.296448 |
| American Indians | 0.782785 |
| Perceived Stress Scale | 0.376909 |
| rich neighborhood data | 0.307508 |
| young adults | 0.479991 |
| Indian young adults | 0.438906 |
|
| neighborhood | 0.563518 |
| standard deviation increase | 0.318426 |
| higher rates | 0.384275 |
| self-reported high blood | 0.43817 |
| Add Health | 0.410027 |
| American Indian subsample | 0.589196 |
| neighborhood characteristics | 0.314362 |
| poor health | 0.310369 |
| high blood glucose | 0.905619 |
| official poverty threshold | 0.37411 |
| American Indian children | 0.295006 |
| Cohen Perceived Stress | 0.377358 |
| non-Hispanic whites | 0.454889 |
| additional neighborhood factors | 0.340761 |
| neighborhood factors | 0.345623 |
| occupied housing units | 0.370898 |
| stress | 0.390777 |
| elevated HbA1c levels | 0.301133 |
| neighborhood variables | 0.298397 |
| social cohesion | 0.293355 |
| Census block group | 0.466933 |
| neighborhood measures | 0.304213 |
| better neighborhood efficacy | 0.354298 |
| logistic regression models | 0.324673 |
|
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State Programs |
null |
| Prescription Drug Overdose | 0.850611 |
| scientific expertise | 0.506835 |
| effort | 0.393205 |
| Overdose Prevention | 0.866438 |
| targeted resources | 0.488879 |
| states | 0.431364 |
| support resources | 0.499192 |
| CDC Injury Center | 0.678839 |
| surveillance activities | 0.526195 |
| Opioid Overdose Surveillance | 0.961721 |
| fatal opioid overdoses | 0.813057 |
| Data-Driven Prevention Initiative | 0.639312 |
|
| Washington D.C. | 0.507532 |
| Report | 0.331511 |
| epidemic | 0.409144 |
| DDPI | 0.32858 |
| OPIS | 0.362518 |
| heart | 0.328623 |
| illicit opioid abuse | 0.777255 |
| Enhanced | 0.35177 |
| State | 0.328477 |
| hot spots | 0.497813 |
| information | 0.329047 |
| programs | 0.385173 |
|
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Consumption of Combustible and Smokeless Tobacco - UnitedStates, 2000-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| combustible tobacco consumption | 0.898465 |
| United States | 0.604095 |
| annual cigarette consumption | 0.532541 |
| tobacco consumption | 0.964072 |
| total combustible tobacco | 0.694906 |
| capita cigarette consumption | 0.516272 |
| snuff consumption | 0.494669 |
| capita tobacco consumption | 0.595145 |
| sustained tobacco prevention | 0.495439 |
| higher cigarette consumption | 0.477247 |
| chewing tobacco consumption | 0.553906 |
| plug/twist chewing tobacco | 0.448603 |
| consumption patterns | 0.475475 |
| total cigarette consumption | 0.674718 |
| large cigar consumption | 0.475041 |
| cigarette equivalents | 0.459308 |
| tobacco excise tax | 0.463754 |
| tobacco | 0.985985 |
| overall tobacco consumption | 0.527768 |
| leaf chewing tobacco | 0.447552 |
| cigarette consumption | 0.743451 |
| capita consumption | 0.471739 |
| consumption estimates | 0.446315 |
|
| tobacco product | 0.653711 |
| total smokeless tobacco | 0.515523 |
| tobacco prevention | 0.517283 |
| total consumption | 0.505354 |
| total snuff consumption | 0.464889 |
| small cigar§ consumption | 0.449336 |
| noncigarette combustible tobacco | 0.543544 |
| tobacco product consumption | 0.591586 |
| pipe tobacco consumption | 0.572436 |
| smokeless tobacco products | 0.479674 |
| tobacco products | 0.635324 |
| smokeless tobacco | 0.853738 |
| small cigar consumption | 0.470006 |
| total pipe tobacco | 0.466433 |
| roll-your-own tobacco consumption | 0.568238 |
| snuff consumption patterns | 0.454268 |
| pipe tobacco | 0.760699 |
| smokeless tobacco consumption | 0.707752 |
| combustible tobacco products | 0.485749 |
| tobacco prevention interventions | 0.456041 |
| available tobacco consumption | 0.566212 |
| combustible tobacco product | 0.584999 |
|
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