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Girlfriends' Health | CDC Features |
August 1 is National Girlfriends Day. Encourage one another to stay healthy. |
| skin cancer risk | 0.74409 |
| severe physical violence | 0.725266 |
| skin cancer | 0.799403 |
| CDC’s National | 0.62324 |
| portion size pitfalls | 0.730782 |
| ultraviolet rays | 0.616127 |
| important step | 0.62179 |
| common types | 0.618854 |
| healthier pregnancy | 0.619788 |
| healthy choices | 0.666564 |
| Detection Program | 0.624631 |
| unintended pregnancy | 0.617013 |
| sexual health | 0.64006 |
| colorectal cancer | 0.642054 |
| overall health | 0.633542 |
| friends | 0.762021 |
| ultraviolet light | 0.620085 |
| sexually transmitted disease | 0.758302 |
| sexually transmitted diseases | 0.946264 |
| birth control | 0.619098 |
| National Domestic Violence | 0.725407 |
| health problems | 0.690715 |
| HPV vaccines | 0.638359 |
| regular physical activity | 0.736819 |
|
| nonviolent relationships | 0.620031 |
| healthy foods | 0.654744 |
| Share tips | 0.624652 |
| sex partners | 0.62019 |
| healthy behaviors | 0.639667 |
| fun ways | 0.639147 |
| mutual monogamy | 0.618567 |
| low-cost mammograms | 0.624635 |
| heavy toll | 0.614221 |
| heart disease | 0.733504 |
| local emergency services | 0.705811 |
| Pap tests | 0.625165 |
| group exercise class | 0.746127 |
| folic acid | 0.615509 |
| better health | 0.638952 |
| breast cancer | 0.623407 |
| STD transmission | 0.620427 |
| indoor tanning | 0.61733 |
| adverse health consequences | 0.717268 |
| healthy pregnancy | 0.649032 |
| intimate partner violence | 0.869955 |
| highly effective methods | 0.712109 |
| National Girlfriends | 0.648794 |
| deadliest kind | 0.614518 |
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Measuring the impact of public health policy |
null |
| great public health | 0.718856 |
| public health interventions | 0.727727 |
| key metrics | 0.681856 |
| public health practitioners | 0.74575 |
| public health resources | 0.739615 |
| policy approaches | 0.703891 |
| Washington University | 0.673173 |
| particular health behavior | 0.679244 |
| health disparities | 0.689166 |
| Health Promot Pract | 0.671558 |
| optimal health outcomes | 0.674851 |
| improved population health | 0.672102 |
| Saint Louis | 0.673615 |
| policy metrics | 0.733398 |
| Effective health policies | 0.72489 |
| health care services | 0.699342 |
| policy change | 0.704471 |
| individual-level behavioral approaches | 0.728054 |
| public health decision | 0.707111 |
| St Louis | 0.673729 |
| public health practice | 0.701342 |
| individual-level health care | 0.703705 |
| health care settings | 0.686864 |
| public health adage | 0.70167 |
| population health performance | 0.690069 |
|
| evidence-based policy | 0.672985 |
| public health policy | 0.87238 |
| policy surveillance systems | 0.689957 |
| Prevention Research Center | 0.668842 |
| public health laws | 0.72173 |
| appropriate metrics | 0.67766 |
| public health goals | 0.70848 |
| public health | 0.986396 |
| health care | 0.749647 |
| downstream metrics | 0.669134 |
| public health progress | 0.706519 |
| health policy surveillance | 0.70736 |
| disease management | 0.668244 |
| Washington University School | 0.66904 |
| consensus policy metrics | 0.705318 |
| public health data | 0.711397 |
| population-level public health | 0.698792 |
| policy makers | 0.690611 |
| international health | 0.672761 |
| Community Preventive Services | 0.688372 |
| Health Serv Res | 0.671386 |
| tobacco control | 0.727132 |
| public health outcomes | 0.723724 |
| public health research | 0.70248 |
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CDC Responds to Disease Outbreaks 24-7 - CDC Works For You 24/7 |
CDC Responds to Disease Outbreaks 24-7 - CDC |
| CDC | 0.977701 |
| health recommendations | 0.359787 |
| contagious disease outbreaks | 0.619097 |
| CDC shares | 0.522594 |
| novel influenza viruses | 0.470167 |
| good health habits | 0.456882 |
| health professionals | 0.366748 |
| health emergencies | 0.362846 |
| air-tight high-containment labs | 0.428639 |
| public health partners | 0.479804 |
| public health tools | 0.476432 |
| disease detective unit | 0.472281 |
| healthy people | 0.463432 |
| Health Alert Networks | 0.465686 |
| exotic germs | 0.353099 |
| contagious diseases | 0.540578 |
| public health response | 0.502538 |
| H1N1 pandemic | 0.34942 |
| important area | 0.33563 |
| contagious outbreaks | 0.42211 |
| national health security | 0.520002 |
| laboratory scientists | 0.343423 |
| health threats | 0.806357 |
| alcohol-based hand rub | 0.426797 |
| United States | 0.329066 |
|
| Legionnaires disease | 0.37259 |
| mouth.» Germs | 0.353234 |
| medical experts | 0.333294 |
| new contagious diseases | 0.540072 |
| CDC disease detective | 0.671903 |
| new contagion | 0.341223 |
| human influenza pandemic | 0.482812 |
| certain unusual circumstances | 0.415101 |
| public health threats | 0.688399 |
| close contact | 0.416171 |
| longstanding commitment | 0.330459 |
| public health | 0.779268 |
| timely risk information | 0.425137 |
| CDC staff | 0.533741 |
| CDC scientists | 0.554774 |
| arms people | 0.348262 |
| past 30-years | 0.344254 |
| CDC disease detectives | 0.895594 |
| people | 0.590184 |
| avian influenza outbreaks | 0.470351 |
| lab scientists | 0.332684 |
| 2-year training program | 0.436737 |
| unknown origin | 0.45146 |
| contagious disease | 0.802588 |
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Section 204 of the Tobacco Control Act - Smokeless Tobacco Labels and Advertising Warnings |
null |
| smokeless tobacco advertising | 0.209632 |
| subsection | 0.253098 |
| United States | 0.462896 |
| import smokeless tobacco | 0.212385 |
| tobacco product manufacturer | 0.79019 |
| Health Education Act | 0.260831 |
| Smokeless Tobacco Health | 0.330554 |
| label statements | 0.596422 |
|
| smokeless tobacco products | 0.407735 |
| tabloid newspaper advertisement | 0.237881 |
| smokeless tobacco | 0.951249 |
| Tobacco Health Education | 0.296445 |
| label statement | 0.397498 |
| Comprehensive Smokeless Tobacco | 0.330584 |
| broadsheet newspaper advertisement | 0.241654 |
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Centers for Disease Control and Prevention |
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Science Clips - Monday, November 19, 2012 |
null |
| Health Plann Manage. | 0.881548 |
| Health care needs | 0.888462 |
| potential amplifying hosts | 0.869898 |
| precancerous cervical lesions | 0.872686 |
| Respi Viruses. | 0.872523 |
| PLoS One. | 0.954423 |
| Int AIDS Soc. | 0.874079 |
| Disease Control | 0.873354 |
| Chronic beryllium disease | 0.870592 |
| CDC Science Clips | 0.90073 |
| sexual violence prevention | 0.871243 |
| autism spectrum disorders | 0.92336 |
| public health risk | 0.916826 |
| gene association study | 0.872306 |
| potential infectious disease | 0.888081 |
| U.S. national surveillance | 0.883265 |
| risk factors | 0.90519 |
| surveillance data | 0.88154 |
| DAI infection rates | 0.873536 |
| Science Clips Production | 0.876751 |
| strategic health planning | 0.881852 |
| routinely reported tuberculosis | 0.874481 |
| Influenza Other Respi | 0.882221 |
| influenza A H1N1 | 0.890043 |
| smoke-free home rules | 0.875619 |
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| Nov | 0.90251 |
| association study | 0.875458 |
| Prevention core surveillance | 0.870551 |
| paediatric HIV care | 0.870223 |
| Zoonoses Public Health. | 0.872206 |
| United States | 0.8999 |
| North American birds | 0.86953 |
| recent natural disasters | 0.876158 |
| Genome-wide association study | 0.872173 |
| glioma risk loci | 0.886412 |
| Autism Dev Disord. | 0.914284 |
| National Healthcare Safety | 0.887824 |
| antiretroviral treatment network | 0.874396 |
| pediatric autism clinic | 0.870368 |
| TB drug resistance | 0.87122 |
| Science Clips | 0.945841 |
| public health literature | 0.887505 |
| B. Thacker CDC | 0.886137 |
| Chronic Disease journal | 0.881142 |
| human papillomavirus vaccination | 0.876682 |
| smear-negative pulmonary tuberculosis | 0.875364 |
| Methods Mol Biol. | 0.869512 |
| Health Statistics Data | 0.904683 |
| healthcare settings | 0.871482 |
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What CDC Is Doing About Breast Cancer in Younger Women |
CDC works with public, non-profit, and private partners to address breast cancer in women. |
| young women | 0.636958 |
| public health intervention | 0.457883 |
| CDC | 0.456473 |
| breast cancer survivorship | 0.524789 |
| state health departments | 0.445764 |
| breast health | 0.51725 |
| health care providers | 0.445608 |
| support services | 0.483299 |
| cooperative agreement | 0.475465 |
| breast cancer treatment | 0.525057 |
| younger women | 0.463631 |
| younger breast cancer | 0.53345 |
| cancer genomic practices | 0.457012 |
| public health communication | 0.484422 |
| breast cancer survivors | 0.811697 |
| Public Health Genomics | 0.455579 |
| survivorship support resources | 0.449458 |
| breast cancer death | 0.534577 |
| additional breast cancer | 0.537035 |
| Health insurance coverage | 0.449256 |
| high risk | 0.45593 |
| health care actions | 0.449568 |
| breast cancer genomics | 0.523497 |
| genomics best practices | 0.475913 |
| hereditary breast | 0.488005 |
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| study | 0.444345 |
| United States | 0.449335 |
| young women ages | 0.461647 |
| breast cancer diagnosis | 0.525962 |
| Environmental Health Sciences | 0.453944 |
| genetic counseling | 0.463432 |
| risk assessment tools | 0.47753 |
| reproductive health support | 0.471924 |
| environmental risk factors | 0.446995 |
| ovarian cancer risk | 0.464357 |
| social media | 0.470422 |
| breast cancer awareness | 0.522446 |
| public health | 0.505074 |
| young breast cancer | 0.705722 |
| breast cancer risk | 0.528602 |
| health insurance plans | 0.449284 |
| economic impact | 0.46299 |
| breast cancer | 0.99102 |
| appropriate support services | 0.444736 |
| Alaska Native women | 0.453828 |
| breast cancer mortality | 0.534687 |
| breast cancer cases | 0.525042 |
| poorer general health | 0.450088 |
| psychosocial support services | 0.448872 |
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Antigenic Characterization of Influenza Viruses |
How CDC uses antigenic characterization as part of global flu surveillance and to select viruses for use in the seasonal flu vaccine. |
| red blood cells | 0.320341 |
| particular influenza virus | 0.244052 |
| different influenza viruses | 0.207746 |
| influenza vaccine | 0.236379 |
| vaccine virus | 0.355326 |
| influenza viruses | 0.973654 |
|
| immune response | 0.287664 |
| influenza virus | 0.862695 |
| microtiter plate | 0.200689 |
| HI test | 0.61986 |
| antibodies | 0.318479 |
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Asking the Right Questions Quickly from the Beginning | Division of Foodborne, Waterborne, and Environmental Diseases (DFWED) | CDC |
null |
| PulseNet | 0.420524 |
| ill person | 0.574975 |
| multiple Salmonella serotypes | 0.667143 |
| routine interview | 0.503571 |
| Salmonella serotypes | 0.66775 |
| source | 0.435652 |
| FoodCORE centers | 0.81468 |
| investigators | 0.435194 |
| rare DNA fingerprint | 0.612227 |
| multistate investigation | 0.531826 |
| Patient Interviewing | 0.50367 |
| food samples | 0.495291 |
| multiple health departments | 0.609095 |
| timely PFGE subtyping | 0.603013 |
| chia powder | 0.660305 |
| ill persons | 0.623336 |
| contaminated products | 0.494152 |
| critical evidence | 0.492757 |
| unopened product | 0.505827 |
| sick people | 0.520587 |
| multiple recalls | 0.496966 |
| store shelves | 0.496693 |
| Canada | 0.450976 |
| Salmonella Newport | 0.565788 |
| ill people | 0.990107 |
|
| multistate outbreak | 0.702915 |
| healthy eaters. | 0.503219 |
| multiple DNA fingerprints | 0.602316 |
| Public health laboratories | 0.575443 |
| beginning | 0.429534 |
| leftover product | 0.501802 |
| busy summer | 0.520732 |
| additional illnesses | 0.492092 |
| chia product | 0.567142 |
| consuming smoothies | 0.511851 |
| Oranienburg | 0.419137 |
| U.S. | 0.430779 |
| retail locations | 0.498751 |
| Salmonella infections | 0.571805 |
| chia products | 0.711712 |
| multiple states | 0.504881 |
| end | 0.419211 |
| Wisconsin | 0.437325 |
| federal partners | 0.611022 |
| right questions | 0.565881 |
| Initial interview data | 0.592466 |
| initial stages | 0.500936 |
| information | 0.435879 |
| FoodCORE Highlights Asking | 0.596265 |
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Spotlight on Seizures | CDC Features |
Learn about the many types of seizures. |
| space | 0.32473 |
| awareness | 0.325993 |
| petit mal seizures | 0.650228 |
| seizures | 0.927211 |
| older adult caregivers | 0.421621 |
| answer questions | 0.366617 |
| generalized seizures | 0.79216 |
| League Against Epilepsy | 0.373349 |
| area | 0.325793 |
| Fisher RS | 0.362399 |
| rapid eye blinking | 0.420718 |
| normal brain activity | 0.442757 |
| different types | 0.427288 |
| Complex focal seizures | 0.6624 |
| person | 0.407088 |
| wander | 0.314423 |
| seizure first aid | 0.477478 |
| emergency responders | 0.368063 |
| school nurses | 0.366593 |
| focal seizures | 0.826134 |
| emergency information | 0.359241 |
| changes | 0.31342 |
| seizure types | 0.564492 |
| seizure symptoms | 0.51056 |
| unusual movements | 0.3673 |
|
| Simple focal seizures | 0.667043 |
| signs | 0.327233 |
| medical identification bracelet | 0.414146 |
| Epilepsy Foundation | 0.379971 |
| seizure depend | 0.524223 |
| common questions | 0.360723 |
| behavior | 0.31341 |
| law enforcement | 0.368417 |
| direction | 0.32276 |
| Position paper | 0.360871 |
| Secondary generalized seizures | 0.649917 |
| groups | 0.324666 |
| funny feeling | 0.362315 |
| ILAE Commission | 0.36719 |
| partial seizures | 0.596798 |
| Absence seizures | 0.594033 |
| daycare personnel | 0.36896 |
| motor symptoms. | 0.366884 |
| body movement | 0.376626 |
| et al | 0.361484 |
| physical movements | 0.365651 |
| sides | 0.324718 |
| short change | 0.374701 |
| strange taste | 0.362413 |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| substantial close contact | 0.599846 |
| Human Services | 0.577596 |
| Office Romani liaison | 0.619711 |
| medical examiner | 0.637745 |
| Sarasota County epidemiologist | 0.644271 |
| U.S. Department | 0.582921 |
| male child | 0.543642 |
| 125-mg intramuscular injection | 0.602829 |
| ear infection | 0.514922 |
| Sarasota County Sheriff | 0.632373 |
| electronic PDF version | 0.589578 |
| Gram-negative diplococci | 0.519713 |
| family members | 0.786166 |
| medical director | 0.519949 |
| sudden onset | 0.511049 |
| clinical staff members | 0.62468 |
| local emergency department | 0.640483 |
| prompt medical attention | 0.59881 |
| rapid response systems | 0.590303 |
| substantial health risk | 0.62113 |
| meningococcal disease | 0.931663 |
| 500-mg oral dose | 0.600621 |
| cerebrospinal fluid | 0.514579 |
| translation services | 0.515512 |
|
| single dose | 0.513578 |
| child | 0.54415 |
| DOH-Sarasota epidemiology | 0.527709 |
| infected child | 0.517827 |
| non–English-speaking Romani family | 0.660153 |
| original MMWR paper | 0.594131 |
| Public Health Laboratories | 0.611362 |
| Sarasota County | 0.934913 |
| 2Florida Department | 0.522407 |
| possible death | 0.527717 |
| Sarasota County Office | 0.663178 |
| close contact | 0.610205 |
| Florida Department | 0.637569 |
| prior meningococcal immunization | 0.710055 |
| quadrivalent meningococcal conjugate | 0.673809 |
| DOH-Sarasota epidemiologist | 0.527939 |
| Romani group | 0.524583 |
| staff members | 0.736284 |
| health department | 0.552888 |
| health clinic | 0.540116 |
| health | 0.636621 |
| young parents | 0.51342 |
| emergency medical service | 0.625373 |
| on-call epidemiologist | 0.645105 |
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