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Centers for Disease Control and Prevention |
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Protect Your Family From Meningitis |
Keeping up to date with recommended immunizations is the best defense against meningococcal disease. Maintaining healthy habits, like getting plenty of rest and not coming into close contact with people who are sick, can also help. |
| Centers | 0.317243 |
| future infections | 0.398399 |
| CDC | 0.345879 |
| bacteria | 0.321289 |
| United States | 0.410315 |
| boyfriend | 0.324427 |
| early recognition | 0.406985 |
| Page | 0.31777 |
| prophylaxis | 0.367772 |
| meningococcal vaccines | 0.823862 |
| underlying immune deficiency | 0.48738 |
| Prevention | 0.317208 |
| effective | 0.319356 |
| Disease Control | 0.39791 |
| direct contact | 0.398319 |
| immunizations | 0.328224 |
| patient | 0.31786 |
| close contact | 0.422641 |
| lifelong protection | 0.401106 |
| local health departments | 0.481905 |
| certain situations | 0.396333 |
| disclaimer | 0.324923 |
| usage guidelines | 0.397105 |
|
| rest | 0.321318 |
| meningococcal vaccination | 0.636849 |
| preteens | 0.32705 |
| chance | 0.319807 |
| plenty | 0.322788 |
| people | 0.36033 |
| quick medical attention | 0.495007 |
| saliva | 0.326159 |
| symptoms | 0.318803 |
| doctor | 0.317426 |
| previous infection | 0.397911 |
| girlfriend | 0.323784 |
| best defense | 0.419623 |
| meningococcal disease | 0.967854 |
| serogroups | 0.319476 |
| Content | 0.317293 |
| oral secretions | 0.412465 |
| Neisseria | 0.332871 |
| close contacts | 0.508828 |
| antibiotics | 0.323158 |
| spit | 0.322701 |
| Examples | 0.318621 |
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Centers for Disease Control and Prevention |
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Cancer and Women | CDC Features |
Every year, cancer claims the lives of more than a quarter of a million women in America. Women can reduce their cancer risk by adopting a healthy lifestyle and getting the right cancer screening tests. |
| skin cancer | 0.746654 |
| United States | 0.705108 |
| uterine cancer | 0.556862 |
| screening tests | 0.563822 |
| lower your risk | 0.535016 |
| best way | 0.549488 |
| girls | 0.424813 |
| Lung cancer screening | 0.732221 |
| alcohol consumption | 0.540414 |
| sun | 0.454988 |
| vegetables | 0.425236 |
| certain people | 0.550359 |
| breast cancers | 0.55486 |
| HPV | 0.463543 |
| lung cancer | 0.949777 |
| cigarette smoking | 0.565001 |
| healthy choices | 0.541524 |
| common cancer | 0.557723 |
| U.S. | 0.425223 |
| fruits | 0.425231 |
| diet | 0.425719 |
|
| secondhand smoke | 0.576798 |
| cheat sheet | 0.53787 |
| UV | 0.427185 |
| indoor tanning devices | 0.660123 |
| colorectal cancer | 0.64078 |
| cases | 0.457657 |
| Meryl Streep | 0.550234 |
| breast cancer | 0.619119 |
| younger women | 0.532333 |
| hard way | 0.527894 |
| common kinds | 0.542033 |
| McKenna | 0.428326 |
| vaccine | 0.426159 |
| regular physical activity | 0.660097 |
| exposure | 0.425605 |
| light | 0.426233 |
| human papillomavirus | 0.549088 |
| high risk | 0.545647 |
| melanoma survivor Sharon | 0.650768 |
| deadliest kind | 0.553617 |
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Centers for Disease Control and Prevention |
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Demographic and Geographic Differences in Exposure to Secondhand Smoke in Missouri Workplaces, 2007-2008 |
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| breathing smoke | 0.352732 |
| education | 0.338714 |
| smokefree workplace law | 0.665511 |
| smokefree workplace laws | 0.513192 |
| significant differences | 0.3605 |
| statewide smokefree law | 0.364707 |
| local smokefree law | 0.358457 |
| smokefree workplace restrictions | 0.385445 |
| Overall exposure | 0.337711 |
| smoke exposure persist | 0.403009 |
| final model | 0.339744 |
| smoking status | 0.406853 |
| education level | 0.33865 |
| model | 0.364311 |
| smokefree environments | 0.347808 |
| Saint Louis | 0.363135 |
| tobacco smoke | 0.34778 |
| comprehensive smokefree ordinances | 0.35215 |
| smoke exposure variable | 0.392495 |
| smokefree law | 0.38027 |
| standardized residuals | 0.371144 |
| local smokefree laws | 0.35364 |
| smokefree workplaces | 0.363484 |
| significant LR test | 0.344702 |
| smokefree workplaces laws | 0.358212 |
|
| local workplace law | 0.368637 |
| smoke exposure rates | 0.388384 |
| workplace exposure | 0.379365 |
| high school graduate | 0.339732 |
| disproportionate exposure | 0.343768 |
| multilevel model | 0.336728 |
| smokefree workplace policy | 0.391586 |
| young white men | 0.345637 |
| Missourians | 0.350888 |
| small rural areas | 0.346875 |
| smokefree workplace ordinances | 0.377871 |
| Missouri | 0.376348 |
| Missouri County-Level Study | 0.353171 |
| statewide smokefree workplace | 0.461738 |
| workplace smoking restrictions | 0.355181 |
| annual income | 0.338971 |
| secondhand smoke exposure | 0.99861 |
| workplace secondhand smoke | 0.666626 |
| health | 0.357082 |
| comprehensive smokefree workplaces | 0.350457 |
| people | 0.348024 |
| comprehensive smokefree workplace | 0.42644 |
| involuntary exposure | 0.338077 |
| highest exposure category | 0.346154 |
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Centers for Disease Control and Prevention |
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Global Health - South Africa - CDC's HIV Prevention Programs: Most At-Risk Populations |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| key risk populations | 0.36954 |
| sexually transmitted infection | 0.213284 |
| specific HIV prevention | 0.307526 |
| coverage gaps | 0.22724 |
| potentially weak family | 0.226363 |
| most-at-risk key populations | 0.415845 |
| HIV epidemic | 0.249263 |
| HIV prevention | 0.340058 |
| HIV prevalence rates | 0.286239 |
| relatively new focus | 0.220241 |
| key populations research | 0.357077 |
| key populations | 0.938221 |
| Future prevention efforts | 0.230195 |
| comprehensive prevention services | 0.241015 |
| social support systems | 0.227535 |
|
| at-risk key populations | 0.39332 |
| HIV transmission | 0.287685 |
| Human Sciences Research | 0.23939 |
| national HIV-prevention campaigns | 0.226364 |
| Global AIDS Program | 0.228057 |
| At-risk populations | 0.349247 |
| average HIV prevalence | 0.309263 |
| key CDC South | 0.283398 |
| HIV prevention strategies | 0.28697 |
| high-risk populations | 0.287999 |
| South African AIDS | 0.244448 |
| respondent-driven sampling methodology | 0.210441 |
| South African National | 0.23308 |
| CDC South Africa | 0.806512 |
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Centers for Disease Control and Prevention |
Html |
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Child Passenger Safety - Health Communication |
Child Passenger Safety - Gateway to Health Communication - CDC |
| SAFE KIDS coalitions | 0.379302 |
| seat belt fit | 0.521864 |
| car seat | 0.653156 |
| forward-facing car seat | 0.555239 |
| upper weight | 0.384643 |
| booster seat | 0.791695 |
| child safety restraints | 0.451681 |
| CDC study | 0.351768 |
| bad car crash | 0.39061 |
| upper thighs | 0.390625 |
| children | 0.648461 |
| Seat Belts Fit | 0.51291 |
| young children | 0.484931 |
| size-appropriate car seats | 0.413131 |
| oldest teenaged driver | 0.378491 |
| child passengers | 0.352259 |
| height | 0.352654 |
| fatal crash | 0.353444 |
| child restraint systems | 0.396562 |
| rear-facing car seat | 0.601581 |
| booster seats | 0.61317 |
| seat | 0.971063 |
| older children | 0.434275 |
| lap belt | 0.400001 |
|
| seat belts | 0.666977 |
| child passenger | 0.353443 |
| United States | 0.355154 |
| children ages | 0.368504 |
| car crashes | 0.353226 |
| child safety | 0.555691 |
| motor vehicle | 0.487338 |
| properly. Seat belts | 0.508222 |
| forward-facing seat | 0.466717 |
| child safety seat | 0.547153 |
| rear-facing seats | 0.362713 |
| Buckling children | 0.363683 |
| motor vehicle-related injuries | 0.388122 |
| fatal crashes | 0.352539 |
| younger children | 0.365155 |
| particular seat | 0.514227 |
| motor vehicle deaths | 0.385048 |
| belt-positioning booster seats | 0.424263 |
| shoulder belt | 0.399269 |
| child restraints | 0.355838 |
| seat belt | 0.782102 |
| best possible protection | 0.386339 |
| risk | 0.384338 |
| motor vehicle crashes | 0.469499 |
|
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Centers for Disease Control and Prevention |
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Influenza Activity - United States, 2012-13 Season andComposition of the 2013-14 Influenza Vaccine |
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. |
| influenza | 0.949229 |
| 2012-13 influenza season | 0.564319 |
| variant influenza viruses | 0.601319 |
| influenza hospitalization surveillance | 0.594063 |
| widespread influenza activity | 0.593163 |
| United States | 0.66482 |
| Influenza Div | 0.555487 |
| novel influenza | 0.661935 |
| influenza antiviral drugs | 0.563049 |
| influenza A viruses | 0.645176 |
| U.S. influenza season | 0.576473 |
| novel avian influenza | 0.597454 |
| recent influenza seasons | 0.55505 |
| clinician-ordered influenza testing | 0.558402 |
| Hemisphere influenza vaccine | 0.656224 |
| seasonal influenza viruses | 0.600362 |
| influenza B component | 0.566448 |
| novel influenza viruses | 0.628549 |
| influenza B viruses | 0.743224 |
| influenza activity* | 0.581579 |
| variant influenza | 0.662865 |
| weekly influenza activity | 0.581419 |
|
| laboratory-confirmed influenza | 0.604441 |
| influenza A virus | 0.570376 |
| influenza vaccine | 0.676843 |
| influenza season | 0.835736 |
| novel influenza virus | 0.573668 |
| influenza activity | 0.76174 |
| regional influenza activity | 0.581759 |
| Northern Hemisphere influenza | 0.655108 |
| influenza virus specimens | 0.597461 |
| previous influenza season | 0.589974 |
| progressive influenza illness | 0.55844 |
| influenza seasons | 0.610198 |
| laboratory-confirmed influenza virus | 0.587995 |
| influenza type | 0.56169 |
| Influenza Division | 0.584487 |
| influenza trivalent vaccines | 0.577012 |
| influenza viruses | 0.710908 |
| annual influenza vaccination | 0.560777 |
| influenza virus surveillance | 0.602527 |
| influenza virus | 0.648504 |
| summer influenza activity | 0.569631 |
| influenza B co-infections | 0.560496 |
|
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Centers for Disease Control and Prevention |
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World Hepatitis Day - July 28, 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. |
| mmwrq@cdc.gov. | 0.562252 |
| infectious disease mortality | 0.745552 |
| hepatitis B virus | 0.714516 |
| Human Services | 0.638386 |
| assistive technology | 0.565103 |
| MMWR HTML versions | 0.653011 |
| U.S. Department | 0.634672 |
| pregnant women | 0.543193 |
| electronic PDF version | 0.638412 |
| regional mortality | 0.604868 |
| HBV | 0.593286 |
| health professionals | 0.548085 |
| HEV infection | 0.727614 |
| South Sudan | 0.546115 |
| Additional information | 0.540862 |
| infant morbidity | 0.563731 |
| Contact GPO | 0.559548 |
| commercial sources | 0.536862 |
| vaccine-preventable death | 0.559936 |
| age groups | 0.5389 |
| Hepatitis E virus | 0.709181 |
| resource-constrained settings | 0.540699 |
| current prices | 0.533537 |
| hepatitis E outbreak | 0.68769 |
|
| original paper copy | 0.644284 |
| significant proportion | 0.54678 |
| new infections | 0.539489 |
| Global Burden | 0.543654 |
| U.S. Government Printing | 0.651127 |
| original MMWR paper | 0.648766 |
| Disease Study | 0.538134 |
| MMWR readers | 0.546483 |
| character translation | 0.530984 |
| significant morbidity | 0.565615 |
| mother-to-child transmission | 0.536128 |
| format errors | 0.53058 |
| viral hepatitis | 0.968123 |
| annual World Hepatitis | 0.829003 |
| subject line | 0.561892 |
| global control efforts | 0.656724 |
| typeset documents | 0.537118 |
| trade names | 0.53695 |
| official text | 0.529578 |
| World Health Assembly | 0.688523 |
| virus infection | 0.596905 |
| non-CDC sites | 0.535313 |
| et al | 0.534456 |
| liver cancer | 0.54546 |
|
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Centers for Disease Control and Prevention |
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Science Clips - Monday, November 18, 2013 |
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| Trop Med Hyg. | 0.616394 |
| Huskins WC | 0.571283 |
| van Niekerk DJ | 0.613167 |
| Burns SM | 0.658281 |
| Hall JE | 0.570746 |
| Marks SM | 0.586558 |
| multiple chronic conditions | 0.601451 |
| Islander long-term survivors | 0.606842 |
| pregnant women | 0.614509 |
| Disease Control | 0.625825 |
| CDC Science Clips | 0.64373 |
| primary human papillomavirus | 0.620208 |
| Weinstein RA | 0.569625 |
| Danziger LH | 0.569264 |
| Deutschman CS | 0.6628 |
| phthalate metabolite concentrations | 0.605373 |
| Infect Genet Evol. | 0.644338 |
| colorectal cancer | 0.567937 |
| Dellit TH | 0.579274 |
| Science Clips Production | 0.611665 |
| discussion S64-73 | 0.569905 |
| cervical cancer | 0.567405 |
| Clin Infect Dis. | 0.672003 |
| Hunkler RJ | 0.617764 |
| Infect Dis. | 0.713933 |
|
| Nov | 0.650043 |
| northern Puerto Rico | 0.597293 |
| Hersh AL | 0.654066 |
| Hicks LA | 0.594397 |
| Cancer Surviv. | 0.569364 |
| population-based cohort study | 0.612585 |
| United States | 0.677918 |
| Gerding DN | 0.574246 |
| Taylor TH | 0.569213 |
| antibiotic expenditures | 0.583832 |
| respiratory tract infections | 0.608682 |
| structural-level needle/syringe programs | 0.616404 |
| Acquir Immune Defic | 0.609707 |
| McGowan JE | 0.585223 |
| cigarette smoking rates | 0.595066 |
| Infect Control. | 0.603151 |
| Pollack LA | 0.578466 |
| public health literature | 0.606557 |
| Pinney SM | 0.585082 |
| ambulatory care | 0.569933 |
| B. Thacker CDC | 0.637804 |
| high school students | 0.601013 |
| Magill SS | 0.657411 |
| et al | 0.974073 |
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Centers for Disease Control and Prevention |
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Driving Through Water'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Million Hearts® Targets |
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CLICK HERE |