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Centers for Disease Control and Prevention |
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Celebrate Dads Who Live Smoke-Free Lives |
Find out about the ways that you can protect yourself and loved ones by quitting smoking and reducing exposure to secondhand smoke. |
| CDC.gov Current Features | 0.906892 |
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Centers for Disease Control and Prevention |
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Leave Your Work (Exposures) at Work |
Chemicals from your work can come home on your skin, hair, clothes and shoes. When you go home, these chemicals can get onto your floors, your furniture, or in your car where your family members or pets can be exposed. We call this take-home exposure. |
| pets | 0.330992 |
| construction workers | 0.438318 |
| hands | 0.357995 |
| Wear protective clothing | 0.543848 |
| Wash contaminants | 0.459244 |
| different load | 0.420049 |
| brains | 0.32901 |
| pregnant women | 0.445677 |
| furniture | 0.331055 |
| young children | 0.442213 |
| employer | 0.360927 |
| beryllium | 0.331004 |
| safest thing | 0.446199 |
| chemicals | 0.908364 |
| Wash your work | 0.512196 |
| family members | 0.713452 |
| clean clothes | 0.510416 |
| household work | 0.433132 |
| change clothes | 0.501344 |
| take-home exposure | 0.690924 |
| Lead harms children | 0.55263 |
| unborn baby | 0.44947 |
| shower | 0.388636 |
| household members | 0.425256 |
| skin | 0.331272 |
|
| home renovators | 0.45523 |
| chemicals home | 0.576493 |
| Take-home exposures | 0.442003 |
| dirty work clothes | 0.627877 |
| hair | 0.331261 |
| floors | 0.329458 |
| car | 0.331026 |
| pesticides | 0.329574 |
| safety officer | 0.431892 |
| electronics recyclers | 0.44587 |
| floor | 0.328433 |
| mouths | 0.334146 |
| work clothes | 0.720298 |
| different chemicals | 0.452106 |
| work shoes | 0.439906 |
| Talk | 0.383147 |
| shoes | 0.447816 |
| people | 0.356459 |
| clothes | 0.758777 |
| home | 0.699285 |
| doctor | 0.356765 |
| information | 0.359823 |
| separate lockers | 0.430476 |
| time | 0.328449 |
|
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Centers for Disease Control and Prevention |
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High Blood Pressure and Cholesterol - CDC 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. |
| treatment | 0.462021 |
| healthy diet | 0.483013 |
| Vital Signs | 0.480362 |
| health insurance | 0.492374 |
| United States | 0.482025 |
| doctor reminder systems | 0.478179 |
| adults | 0.455025 |
| policies | 0.447831 |
| Salt Matters | 0.470128 |
| smoke-free areas | 0.445539 |
| Clinical services | 0.445794 |
| Low-Density Lipoprotein Cholesterol | 0.533245 |
| restaurant foods | 0.485664 |
| lower blood pressure | 0.504554 |
| automatic phone calls | 0.476273 |
| way health care | 0.499923 |
| high cholesterol | 0.522972 |
| regular follow-up care | 0.490644 |
| effective disease prevention | 0.482099 |
| health disparities | 0.464157 |
| heart disease | 0.639383 |
| cholesterol | 0.658628 |
| chronic disease management | 0.481257 |
| health care | 0.524165 |
|
| health care professionals | 0.492917 |
| health insurance coverage | 0.490713 |
| High Levels | 0.449761 |
| health professionals | 0.453611 |
| health care services | 0.498299 |
| brisk 10-minute walk | 0.477111 |
| artificial trans | 0.487379 |
| cholesterol medicine | 0.510863 |
| control | 0.451411 |
| electronic health records | 0.541788 |
| main reasons | 0.449187 |
| people | 0.512198 |
| medical care | 0.487309 |
| stroke | 0.453153 |
| high blood pressure* | 0.518626 |
| high blood pressure | 0.984443 |
| low-salt foods | 0.445802 |
| community health workers | 0.490314 |
| high risk | 0.454066 |
| diseases accounts | 0.450298 |
| follow-up care | 0.530624 |
| health risks | 0.457279 |
| current guidelines | 0.487759 |
|
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QuickStats: Infant Mortality Rate Per 1,000 Live Births,* by Gestational Age - United States, 2008 |
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. |
| live births | 0.454554 |
| infant mortality rates | 0.952248 |
| overall infant mortality | 0.583363 |
|
| infant deaths | 0.544984 |
| infant mortality rate | 0.981461 |
| gestational age | 0.533205 |
|
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Housing and Transportation | Summer Internships |
CDC Collegiate Leaders in Environmental Health - Housing and Transportation |
| transportation options | 0.500834 |
| N. Decatur | 0.489032 |
| personal incidents | 0.469882 |
| eligibility | 0.365663 |
| Personal Transportation | 0.477988 |
| Chamblee MARTA station | 0.895341 |
| Clairmont Rd | 0.499607 |
| University Conferences | 0.469849 |
| sole rights | 0.470147 |
| current undergraduate | 0.47347 |
| Peachtree-DeKalb Airport | 0.49715 |
| housing locations/options | 0.487805 |
| Dooley Dr. | 0.487061 |
| CDC interns | 0.684087 |
| commitments | 0.336342 |
| outdoor swimming pool | 0.624843 |
| town | 0.33191 |
| mile | 0.357486 |
| past interns | 0.744728 |
| CDC’s Chamblee | 0.848204 |
| Chamblee campus | 0.769895 |
| Commute Trip Planner. | 0.632333 |
| Carpools | 0.346518 |
| Summer Intern Housing | 0.960315 |
| Emory’s Summer | 0.491381 |
|
| summer internship | 0.648183 |
| housing costs | 0.480187 |
| personal vehicles | 0.608799 |
| travel expenses | 0.458447 |
| note | 0.337516 |
| 9-week internship | 0.515707 |
| students | 0.353363 |
| Metro Atlanta Rapid | 0.593331 |
| Web Site | 0.477264 |
| housing options | 0.654078 |
| professional relevance | 0.473099 |
| intern’s housing | 0.572161 |
| large spread-out city | 0.62501 |
| MARTA Public Transportation | 0.679843 |
| previous interns | 0.584245 |
| his/her course | 0.483534 |
| informational purposes | 0.472522 |
| project site | 0.456622 |
| Intern Housing Program | 0.968977 |
| Chamblee MARTA Train | 0.781326 |
| furnished dorm room | 0.639777 |
| professional student | 0.47474 |
| Transit Authority | 0.453324 |
| carpool | 0.343653 |
|
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Html |
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Communities of Practice (CoPs) |
null |
| CDC | 0.423803 |
| collaborative framework | 0.532951 |
| CoP Program | 0.792988 |
| common problems | 0.548611 |
| Resource Kit | 0.613743 |
| CoPs | 0.614122 |
| feedback | 0.449087 |
| evaluation | 0.438675 |
| responsibilities | 0.422605 |
| members | 0.451774 |
| Share • Collaborate | 0.551184 |
| model | 0.423371 |
| public health areas | 0.639185 |
| level | 0.424891 |
| public health partners | 0.64287 |
| Local | 0.422238 |
| web sites | 0.612972 |
| collection | 0.439465 |
| private space | 0.539071 |
| Sources | 0.439595 |
| success stories | 0.520625 |
| standards | 0.423763 |
| books | 0.439426 |
| State | 0.422267 |
| domain | 0.424474 |
|
| sensitive issues | 0.53786 |
| lessons | 0.423538 |
| participation | 0.422882 |
| Office | 0.422281 |
| benefits | 0.421979 |
| public health priorities | 0.642813 |
| CoP approach | 0.671913 |
| focus areas | 0.543574 |
| Sustain | 0.424733 |
| public health professionals | 0.648157 |
| public health | 0.921175 |
| email | 0.422763 |
| community building process | 0.639846 |
| share expertise | 0.544178 |
| comments | 0.422806 |
| practice approach | 0.525067 |
| Tribal | 0.422253 |
| Territorial Support | 0.529995 |
| current communities | 0.521298 |
| cdc.gov | 0.422734 |
| future | 0.422997 |
| best practices | 0.535522 |
| information | 0.439349 |
| collaborative efforts | 0.527979 |
|
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Progress on Childhood Obesity: Many States Show Declines infographic text |
CDC Vital Signs - Progress on Childhood Obesity: Many States Show Declines infographic text |
| infographic shows ways | 0.674968 |
| healthy meals | 0.548875 |
| neighborhood park | 0.55024 |
| outdoor physical activity | 0.867898 |
| United States | 0.561729 |
| local school playground | 0.908518 |
| vegetables | 0.424303 |
| Pediatric Nutrition Surveillance | 0.695115 |
| prevalence | 0.435972 |
| nutrition education support | 0.866952 |
| child care | 0.684766 |
| teacher | 0.450604 |
| fruits | 0.4243 |
| different settings | 0.549911 |
| statistically significant decreases | 0.788917 |
| snacks | 0.427999 |
| map | 0.429386 |
| obesity | 0.432059 |
| BMI | 0.475666 |
| height | 0.467255 |
|
| participants | 0.428445 |
| shows children | 0.530104 |
| healthy breakfast | 0.556619 |
| counseling | 0.449285 |
| statistically significant increases | 0.781463 |
| community farmers | 0.687107 |
| weight | 0.449593 |
| Box | 0.543457 |
| classification | 0.430682 |
| analysis | 0.428143 |
| healthy snack | 0.555514 |
| physical activity | 0.906517 |
| home | 0.452865 |
| doctor | 0.471467 |
| market | 0.451053 |
| preschoolers | 0.436843 |
| ages | 0.429016 |
| education support services | 0.885085 |
| preschooler | 0.720701 |
| statistically significant changes | 0.774392 |
|
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NCIRD | DBD Bulletin Winter 2011 | Quarter 2 News |
Division of Bacterial Diseases Bulletin Winter |
| public engagement project | 0.597814 |
| new vaccines | 0.541919 |
| annual New | 0.515746 |
| late second trimester | 0.507982 |
| Tdap vaccination program | 0.601465 |
| Bacterial Core surveillance | 0.614809 |
| Infections Program sites | 0.584392 |
| infant immunization program | 0.575488 |
| network training workshop | 0.627941 |
| New York City | 0.620661 |
| HIV-uninfected children | 0.507742 |
| young children | 0.520973 |
| meningococcal disease websites | 0.693613 |
| Global Reference Laboratory | 0.620415 |
| Carla Talarico | 0.5152 |
| pneumococcal conjugate vaccine | 0.620012 |
| case-control studies | 0.511583 |
| historical reasons | 0.514503 |
| Regional Laboratory Training | 0.602607 |
| World Health Organization | 0.639118 |
| South African statisticians | 0.593027 |
| pneumococcal vaccine schedules | 0.617916 |
| National Meningitis Association | 0.628929 |
| direct technical support | 0.579878 |
| Pneumococcal Diseases | 0.515933 |
|
| new vaccine introduction | 0.618944 |
| public health officials | 0.606592 |
| regional reference labs | 0.612995 |
| pneumococcal isolates | 0.531451 |
| DBD supports countries | 0.838313 |
| Invasive Bacterial Vaccine | 0.670779 |
| stakeholder meeting | 0.512876 |
| healthcare providers | 0.603452 |
| recent preliminary analyses | 0.576023 |
| Reproductive Health | 0.509448 |
| Preventable Disease | 0.517915 |
| invasive pneumococcal disease | 0.629387 |
| DBD staff | 0.959084 |
| meningococcal vaccines | 0.67914 |
| new meningitis | 0.554732 |
| new protocol | 0.517655 |
| local health departments | 0.604339 |
| Under-utilized Vaccines Implementation | 0.616127 |
| Invasive Bacterial Vaccine-Preventable | 0.683069 |
| invasive bacterial cases | 0.632657 |
| DBD statisticians | 0.710308 |
| annual gala | 0.509848 |
| postpartum intrauterine device | 0.596317 |
| World Meningitis | 0.546872 |
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Cessation Outcomes Among Quitline Callers in Three StatesDuring a National Tobacco Education Campaign |
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. |
| North Carolina | 0.783978 |
| tobacco use cessation | 0.584914 |
| cessation program | 0.569481 |
| tobacco abstinence rates | 0.560332 |
| tobacco user cessation | 0.606202 |
| capita tobacco control | 0.605003 |
| North Carolina evaluation | 0.57001 |
| quit outcomes | 0.620887 |
| Telephone-based tobacco quitlines | 0.563083 |
| television grp exposure | 0.7546 |
| television grps | 0.655197 |
| Disease Control | 0.654135 |
| national media campaign | 0.581912 |
| tobacco users | 0.832616 |
| television gross rating | 0.668608 |
| antismoking mass media | 0.64223 |
| tobacco quitlines | 0.565005 |
| National Tobacco Campaign | 0.57565 |
| national tobacco education | 0.875549 |
| GRP exposure level | 0.561702 |
| campaign exposure levels | 0.620296 |
| TCP funding states | 0.568898 |
| mass media campaigns | 0.65355 |
| Nicotine Tob Res | 0.584212 |
| smoking cessation | 0.560349 |
|
| 30-day point prevalence | 0.651117 |
| state tobacco quitline | 0.620298 |
| Tips campaign exposure | 0.749253 |
| nicotine dependence level | 0.577852 |
| Tips campaign | 0.916881 |
| tobacco control funding | 0.5692 |
| higher Tips exposure | 0.628707 |
| long-term quit outcomes | 0.565572 |
| quitline callers | 0.656671 |
| media campaign exposure | 0.614004 |
| longer-term quit outcomes | 0.613179 |
| nicotine dependence | 0.739122 |
| multivariable logistic regression | 0.622643 |
| Tips television GRPs | 0.595673 |
| tobacco abstinence | 0.650143 |
| tobacco control program | 0.56463 |
| Tob Control | 0.569801 |
| 7-month quit outcomes | 0.561852 |
| gross rating points | 0.669676 |
| tobacco education campaign | 0.8915 |
| baseline nicotine dependence | 0.57786 |
| cessation | 0.658076 |
| callers | 0.68323 |
| tobacco control | 0.661897 |
|
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WHO African Region (AFR) 2011-2012 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| African Region influenza | 0.496284 |
| Sustainability Cooperative Agreements | 0.246809 |
| Global Influenza Surveillance | 0.598866 |
| severe influenza | 0.432055 |
| cooperative agreement Surveillance | 0.323474 |
| Disease Control | 0.387938 |
| CDC Influenza Division | 0.493089 |
| national influenza laboratory | 0.48743 |
| influenza laboratory | 0.658365 |
| virologic surveillance systems | 0.327619 |
| World Health Organization | 0.441413 |
| surveillance data | 0.271331 |
| seasonal influenza | 0.433959 |
| national influenza vaccination | 0.458582 |
| Democratic Republic | 0.36011 |
| Building Cooperative Agreements | 0.24986 |
| Ghana | 0.270951 |
| National Influenza Reference | 0.469165 |
| Congo | 0.347137 |
| Organization Regional Office | 0.26038 |
| Influenza Division | 0.570953 |
| influenza surveillance | 0.659633 |
| virological surveillance | 0.456909 |
| influenza laboratory network | 0.651607 |
| Research Cooperative Agreements | 0.251228 |
|
| Regional Office | 0.703572 |
| South Africa | 0.360354 |
| epidemiological surveillance | 0.322175 |
| Central African Republic | 0.357444 |
| influenza | 0.994433 |
| national influenza | 0.691608 |
| Côte d’Ivoire | 0.305576 |
| Regional Influenza Laboratory | 0.536407 |
| national influenza sentinel | 0.670936 |
| U.S. Centers | 0.384154 |
| Global Influenza Program/Agence | 0.444087 |
| Integrated Disease Surveillance | 0.319085 |
| Sierra Leone | 0.544138 |
| National Influenza Centers | 0.496275 |
| pandemic influenza | 0.604737 |
| influenza sentinel surveillance | 0.860612 |
| technical assistance | 0.306323 |
| Medical Officer | 0.258472 |
| African influenza laboratories | 0.512537 |
| influenza cooperative agreements | 0.562551 |
| Burkina Faso | 0.398725 |
| African Regional Office | 0.442212 |
| CDC direct country | 0.247692 |
| influenza EQAP | 0.400838 |
|
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