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Centers for Disease Control and Prevention |
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CDC - Guidance for Emergency Shelters for the 2009-2010 Page |
Content on this page was developed during the 2009-2010 H1N1 pandemic and has not been updated. |
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Centers for Disease Control and Prevention |
Html |
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Healthy Weight: Other Resources |
External Resources for Weight Loss and Management |
| rewarding success | 0.278695 |
| Kidney Diseases | 0.259718 |
| fat choices | 0.277381 |
| general public | 0.260643 |
| weight loss medications | 0.462754 |
| weight loss surgery | 0.466022 |
| ChooseMyPlate Daily Food | 0.373464 |
| Human Services | 0.252392 |
| dietary assessment | 0.286898 |
| AHA Fat Calculator | 0.420488 |
| fact sheet | 0.258321 |
| interactive tools | 0.351847 |
| ChooseMyPlate Super Tracker | 0.364776 |
| goal setting | 0.2418 |
| Weight-control Information Network | 0.984029 |
| good dietary habits | 0.421535 |
| easy-to-use information | 0.30627 |
| National Institutes | 0.245262 |
| National Heart | 0.279136 |
| health professionals | 0.274491 |
| weight loss | 0.623007 |
| healthy eating | 0.270874 |
| Nutrition Information Center | 0.396196 |
| virtual coaching | 0.241792 |
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| Dietary Guidelines | 0.437057 |
| ChooseMyPlate Website | 0.258539 |
| American Heart Association | 0.374389 |
| physical activity level | 0.383259 |
| healthier diets | 0.25826 |
| USDA | 0.28588 |
| track foods | 0.242302 |
| general information | 0.291695 |
| Daily Food Plan | 0.542956 |
| Healthy Weight | 0.31866 |
| calorie allowance | 0.259279 |
| weight control | 0.296405 |
| practical information | 0.283483 |
| National Institute | 0.26625 |
| weight loss goals | 0.465537 |
| physical activity | 0.821485 |
| Portion Distortion | 0.254571 |
| personal health risks | 0.371005 |
| Nutrition Myths | 0.262526 |
| major chronic diseases | 0.371796 |
| food portions | 0.26389 |
| related nutritional issues | 0.390499 |
| information service | 0.293012 |
| Web sites | 0.243657 |
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Centers for Disease Control and Prevention |
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Air Pollution & Respiratory Health - Health Issues |
This is the Air Pollution and Respiratory Health home page. |
| colorless gas | 0.685743 |
| gas ranges | 0.621239 |
| death | 0.350571 |
| challenges | 0.369122 |
| certain chemicals | 0.645404 |
| furry pets | 0.666739 |
| sudden illness | 0.660234 |
| nasal stuffiness | 0.631054 |
| U.S. | 0.359344 |
| eye irritation | 0.818893 |
| combustion fumes | 0.686526 |
| contact | 0.353456 |
| Carbon monoxide | 0.665029 |
| moldy environments | 0.674052 |
| skin irritation | 0.817177 |
| public health | 0.663095 |
|
| Outdoor air quality | 0.976367 |
| stoves | 0.377352 |
| tobacco smoke | 0.64936 |
| air quality problems | 0.965923 |
| dust mites | 0.681296 |
| medication | 0.372684 |
| Exposure | 0.360735 |
| moisture | 0.374141 |
| triggers | 0.392886 |
| lanterns | 0.38655 |
| Asthma | 0.374068 |
| heating systems | 0.616836 |
| generators | 0.360885 |
| charcoal | 0.375462 |
| throat irritation | 0.849402 |
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Centers for Disease Control and Prevention |
Html |
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HIV Among Youth in the US - 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. |
| young women | 0.441879 |
| new HIV infections | 0.615732 |
| injection drug | 0.543968 |
| current HIV testing | 0.57914 |
| youth ages | 0.456276 |
| HIV prevention | 0.683175 |
| active youth | 0.448565 |
| youth | 0.804418 |
| support other youth | 0.448014 |
| share HIV prevention | 0.584385 |
| HIV prevention programs | 0.583124 |
| risky behaviors | 0.527981 |
| young males | 0.455096 |
| greater risk | 0.443687 |
| HIV prevention services | 0.576792 |
| Affordable Care Act | 0.463714 |
| highest risk | 0.441469 |
| high risk | 0.442968 |
| Young men | 0.440144 |
| confidential HIV test | 0.588112 |
| heterosexual sex | 0.472948 |
| HIV education programs | 0.578786 |
| new infections | 0.546871 |
| treatment | 0.479773 |
| sex partners | 0.46858 |
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| African Americans | 0.508313 |
| African American males | 0.554735 |
| older partner | 0.471953 |
| early death | 0.481088 |
| sexually transmitted infections | 0.473978 |
| male sex | 0.446295 |
| higher risk | 0.444167 |
| drugs | 0.459726 |
| young females | 0.440774 |
| male-to-male sex | 0.447744 |
| sex | 0.583527 |
| bisexual men | 0.472172 |
| African American youth | 0.484564 |
| injection drug users | 0.466161 |
| HIV screening | 0.551222 |
| HIV | 0.933052 |
| risk | 0.611819 |
| support safe environments | 0.464661 |
| bisexual males | 0.51306 |
| effective programs | 0.472374 |
| test youth | 0.447294 |
| HIV infection | 0.616882 |
| greatest number | 0.441657 |
| small number | 0.438922 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Local Health Department Use ofTwitter to Disseminate Diabetes Information, United States -CDC |
Diabetes may affect one-third of US adults by 2050. Adopting a healthful diet and increasing physical activity are effective in preventing type 2 diabetes and decreasing the severity of diabetes-related complications. |
| Twitter account | 0.543814 |
| Introduction
Diabetes | 0.598316 |
| Diabetes Educ | 0.563895 |
| United States | 0.48399 |
| LHDs | 0.624678 |
| diabetes information | 0.60363 |
| public health practitioners | 0.495571 |
| LHD | 0.496927 |
| health information | 0.578143 |
| essential public health | 0.515868 |
| significantly higher diabetes | 0.585593 |
| public information specialist | 0.504604 |
| major public health | 0.490467 |
| relevant health information | 0.483269 |
| diabetes tweeting | 0.588408 |
| health belief model | 0.49948 |
| Core Public Health | 0.496973 |
| health information online | 0.512723 |
| Twitter accounts | 0.576315 |
| diabetes screening | 0.565914 |
| diabetes self-management | 0.558699 |
| Diabetes Alert | 0.556612 |
| St. Louis | 0.486077 |
| social media | 0.963952 |
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| local health departments | 0.741278 |
| county-level diabetes rates | 0.593413 |
| public health services | 0.519943 |
| Health Services framework | 0.484786 |
| public health | 0.77243 |
| higher diabetes rates | 0.676257 |
| Health Departments study | 0.486942 |
| jurisdiction diabetes rate | 0.615355 |
| diabetes programs | 0.579761 |
| diabetes risks | 0.567199 |
| public health spending | 0.483441 |
| total tweets | 0.506842 |
| diabetes tweets | 0.688579 |
| diabetes risk | 0.618901 |
| physical activity | 0.522794 |
| Public Health Accreditation | 0.495225 |
| action tweets | 0.494759 |
| benefit tweets | 0.485206 |
| Diabetes Translation Research | 0.57596 |
| nonurgent public health | 0.491685 |
| Diabetes Prevention Program | 0.572185 |
| City Health Officials | 0.513315 |
| diabetes | 0.978279 |
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Prevalencia y riesgo de indigencia en los veteranos del ejército estadounidense |
CDC - Wide Page example description goes here |
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| Comunidad Estadounidense | 0.792832 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis for April 02, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| North Carolina | 0.458661 |
| transportation needs | 0.458075 |
| Preparedness activities | 0.455618 |
| national implementation | 0.502598 |
| white students | 0.46551 |
| community health measures | 0.509421 |
| local driving patterns | 0.510251 |
| Laboratory Results | 0.457323 |
| primary care physician | 0.500376 |
| laboratory information management | 0.500791 |
| New York City | 0.562307 |
| Disease Control | 0.457568 |
| CDC programs | 0.484554 |
| black students | 0.465365 |
| health care personnel | 0.509576 |
| City Health Department | 0.506213 |
| multidrug-resistant intestinal illness | 0.50188 |
| Cipro-resistant Shigella | 0.464151 |
| new study | 0.467763 |
| address health disparities | 0.513846 |
| Thorough handwashing | 0.457573 |
| older teens | 0.46685 |
| teen drivers | 0.455852 |
| Interagency preparedness | 0.455487 |
| public health response | 0.505377 |
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| laboratory reporting volume | 0.503539 |
| CDC Media Relations | 0.979034 |
| public health agencies | 0.508049 |
| diagnose Ebola cases | 0.529024 |
| electronic laboratory reporting | 0.503884 |
| cancer screening | 0.580098 |
| affordable transportation options | 0.513107 |
| large urban school | 0.507862 |
| U.S. Preventive Services | 0.500541 |
| United States | 0.805458 |
| Shigella sonnei bacteria | 0.508096 |
| different medical problem | 0.499467 |
| percent | 0.496497 |
| lab tests | 0.458203 |
| Hispanic students | 0.463104 |
| new emphasis | 0.456592 |
| health departments | 0.461948 |
| ELR implementation | 0.502688 |
| South Dakota | 0.459085 |
| Electronic Reporting | 0.456507 |
| high school students | 0.518609 |
| cancer screening tests | 0.522444 |
| San Francisco | 0.458743 |
| antibiotic ciprofloxacin | 0.457861 |
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12 Ways to Have a Healthy Holiday Season | CDC Features |
Take steps to keep you and your loved ones safe and healthy. |
| certain diseases | 0.760183 |
| Health Insurance Marketplace | 0.919159 |
| vaccinations | 0.667336 |
| health care provider | 0.930899 |
| booster seat | 0.799955 |
| danger | 0.631332 |
| holidays | 0.661883 |
| children | 0.690879 |
| road | 0.631481 |
| residential fires | 0.764078 |
| secondhand smoke | 0.775796 |
| cook foods | 0.755849 |
| germs | 0.642386 |
| portion sizes | 0.757801 |
| holiday health podcast | 0.908824 |
| warm layers | 0.792358 |
| tobacco smoke | 0.767192 |
| Smokers | 0.630756 |
| priority | 0.633547 |
| drink | 0.647933 |
| food cooking | 0.757639 |
| nonsmokers | 0.639857 |
| Wear | 0.630777 |
| drive | 0.631316 |
| clean running water | 0.93954 |
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| best ways | 0.779712 |
| Health Holiday Song | 0.911777 |
| flu vaccine | 0.779099 |
| motor vehicle | 0.775512 |
| waterproof boots | 0.782894 |
| Eat fruits | 0.767921 |
| proper temperatures | 0.758391 |
| appropriate outdoor clothing | 0.935446 |
| Wash hands | 0.834031 |
| greater health risks | 0.936783 |
| cross-contamination | 0.639513 |
| emergency plan | 0.763933 |
| child safety seat | 0.948373 |
| stress | 0.653771 |
| good health | 0.78489 |
| space heaters | 0.75964 |
| control | 0.632021 |
| Practice fire safety | 0.766748 |
| simple steps | 0.768436 |
| potential accidents | 0.762318 |
| family history | 0.776054 |
| flu season | 0.812651 |
| ones | 0.66361 |
| Fasten seat belts | 0.95812 |
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Flu Vaccine for Preteens and Teens Fact Sheet for Parents |
Flu Vaccine for Preteens, Teens, and Adolescents |
| HealthMap vaccine finder | 0.279406 |
| Annual flu vaccination | 0.40246 |
| vaccine side effects | 0.239927 |
| Flu Vaccine Finder | 0.486008 |
| recombinant influenza vaccine | 0.333048 |
| regular flu seasons | 0.428781 |
| flu vaccine | 0.955428 |
| flu viruses | 0.423653 |
| recombinant vaccine | 0.245418 |
| flu virus | 0.369066 |
| CDC Flu website | 0.41242 |
| typical flu illness | 0.424415 |
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| flu vaccines | 0.493466 |
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| nasal spray vaccine | 0.323233 |
| contra la influenza | 0.21192 |
| flu shot | 0.43016 |
| flu shots | 0.437226 |
| 2016-2017 influenza vaccination | 0.280867 |
| yearly flu vaccine | 0.51694 |
| spray flu vaccine | 0.577519 |
| safest medical products | 0.260196 |
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Public Confidence in the Health Care System 1 Year After theStart of the Ebola Virus Disease Outbreak - Sierra Leone, July 2015| MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Ebola treatment | 0.465527 |
| Leone National Ebola | 0.519316 |
| future Ebola response | 0.480579 |
| overwhelmed health care | 0.422961 |
| Ebola control efforts | 0.504108 |
| Ebola infection | 0.454488 |
| Ebola response capabilities | 0.511938 |
| health promotion campaigns | 0.443921 |
| Ebola outbreak | 0.602343 |
| public health challenges | 0.408971 |
| health care delivery | 0.422694 |
| stronger Ebola response | 0.488023 |
| 5-point Likert scale | 0.451785 |
| Ebola transmission | 0.558146 |
| ebola response | 0.558394 |
| health care facility | 0.549999 |
| active Ebola transmission | 0.522598 |
| health care messages | 0.42338 |
| active districts | 0.455081 |
| global health | 0.41977 |
| Ebola case count | 0.483315 |
| respondents | 0.419909 |
| protracted Ebola epidemic | 0.492145 |
| health care facilities | 0.443051 |
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| public health practice | 0.419872 |
| Ebola patients | 0.45773 |
| Ebola | 0.846297 |
| global health security | 0.413964 |
| Ebola virus disease | 0.576572 |
| Ebola epidemic | 0.594829 |
| ongoing Ebola transmission | 0.501035 |
| maternity care | 0.448144 |
| Sierra Leone | 0.841357 |
| Ebola cases | 0.581497 |
| higher education levels | 0.425971 |
| Ebola case | 0.500771 |
| health care workers | 0.423889 |
| health care | 0.985234 |
| public confidence | 0.465041 |
| participants | 0.410358 |
| confidence | 0.572797 |
| confidence levels | 0.411277 |
| Ebola incidence | 0.460123 |
| survey measured confidence | 0.413773 |
| Ebola care | 0.529251 |
| higher confidence | 0.478624 |
| Sierra Leone Ministry | 0.420846 |
| important health issues | 0.458061 |
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