| 2948 |
Centers for Disease Control and Prevention |
Html |
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Jamason's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
Jamason's story about having asthma attack triggered by secondhand smoke at 16. |
| dangers | 0.360467 |
| Jamason | 0.587796 |
| coworkers | 0.367468 |
| air | 0.344985 |
| infant | 0.359568 |
| trouble breathing | 0.55147 |
| worst attack | 0.601069 |
| real world | 0.519687 |
| smoking | 0.346334 |
| Smokers® campaign | 0.522829 |
| secondhand smoke | 0.644732 |
| hospital | 0.409493 |
| CDC’s Tips | 0.531956 |
|
| cigarette | 0.359448 |
| work | 0.390333 |
| breathing. | 0.342035 |
| 18-year-old Jamason | 0.587335 |
| friends | 0.348532 |
| severe asthma attack | 0.976455 |
| help | 0.345626 |
| exposure | 0.348176 |
| mother Sherri | 0.580246 |
| fast food restaurant | 0.733236 |
| severe attack | 0.605765 |
| cigarettes | 0.359972 |
|
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| 6204 |
Centers for Disease Control and Prevention |
Html |
en |
Cervical Cancer |
Cervical cancer is highly preventable in most Western countries because screening tests and a vaccine to prevent human papillomavirus infections are available. |
| cervical cancer fact | 0.811385 |
| cervical cancer survivor | 0.811737 |
| Basic Information | 0.596595 |
| woman | 0.516171 |
| education | 0.514958 |
| Actress Cote | 0.597487 |
| video | 0.526582 |
| Knowledge | 0.514941 |
| life | 0.515438 |
| shares | 0.514729 |
| uterus | 0.60845 |
| Test | 0.514962 |
| infections | 0.517743 |
| narrow end | 0.599941 |
| cervical cancer scare | 0.826879 |
| womb | 0.52463 |
| sheet | 0.514758 |
| Pablo | 0.519291 |
| quiz | 0.514899 |
| cervix | 0.609237 |
| risk factors | 0.587062 |
|
| vagina | 0.525955 |
| disease | 0.518095 |
| body parts | 0.603888 |
| Gynecologic Cancer Curriculum | 0.681857 |
| long survival | 0.592432 |
| primary health care | 0.663786 |
| control | 0.518017 |
| birth canal | 0.59819 |
| message | 0.51511 |
| cervical cancer | 0.94386 |
| Western countries | 0.594712 |
| good quality | 0.592568 |
| cervical cancer symptoms | 0.808412 |
| vaccine | 0.518476 |
| tests | 0.529991 |
| cells | 0.517384 |
| HPV-related cancers | 0.591878 |
| human papillomavirus | 0.605547 |
| baby | 0.5162 |
| providers | 0.514901 |
|
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| 7586 |
Centers for Disease Control and Prevention |
Html |
en |
Severe Respiratory Illness Associated with a Novel Coronavirus - Saudi Arabia and Qatar, 2012 |
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. | 0.308574 |
| case investigation | 0.317244 |
| Human Services | 0.350171 |
| assistive technology | 0.303788 |
| Global Disease Detection | 0.364888 |
| available diagnostic tests | 0.371683 |
| MMWR HTML versions | 0.357762 |
| U.S. Department | 0.348424 |
| CDC Emergency Operations | 0.446199 |
| Eyal Leshem | 0.364894 |
| electronic PDF version | 0.35937 |
| novel coronavirus | 0.793816 |
| CDC coronavirus website | 0.843134 |
| public health risk | 0.420914 |
| National Center | 0.352169 |
| World Health Organization | 0.418106 |
| personal protective equipment | 0.360223 |
| Global Health | 0.312083 |
| Zoonotic infectious Diseases | 0.361835 |
| Euro Surveill | 0.445401 |
| lower respiratory illness | 0.462072 |
| severe respiratory disease | 0.446991 |
| case definition | 0.467361 |
| original paper copy | 0.352539 |
|
| Kingdom public health | 0.382374 |
| Respiratory Diseases | 0.360961 |
| probable case | 0.320228 |
| respiratory illness | 0.987639 |
| original MMWR paper | 0.364501 |
| U.S. Government Printing | 0.363127 |
| Saudi Arabia | 0.468651 |
| M. Novel coronavirus | 0.505984 |
| Healthcare Quality Promotion | 0.362674 |
| acute respiratory syndrome | 0.454715 |
| viral genetic sequences | 0.36741 |
| local health departments | 0.526128 |
| public health | 0.476815 |
| ECDC Internal Response | 0.363168 |
| acute respiratory illness | 0.620611 |
| Interim case definitions | 0.392309 |
| subject line | 0.30503 |
| United Kingdom | 0.473692 |
| public health measures | 0.379896 |
| new virus | 0.373221 |
| current information | 0.300091 |
| severe respiratory illness | 0.634652 |
| Genetic sequence data | 0.369726 |
| et al | 0.365118 |
|
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| 8196 |
Centers for Disease Control and Prevention |
Html |
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Global Initiatives- Folic Acid |
Folic acid is a B vitamin. Our bodies use it to make new cells. Everyone needs folic acid. CDC urges women to take 400 mcg of folic acid every day, starting at least one month before getting pregnant, to help prevent major birth defects of the baby's brain and spine. |
| common neural tube | 0.345137 |
| United States. | 0.234647 |
| spina bifida | 0.337626 |
| early pregnancy | 0.229839 |
| neural tube defects | 0.91642 |
| United Nations Millennium | 0.253195 |
| Hispanic women | 0.229829 |
| Kucik JE | 0.227504 |
| Folic Acid Mandate | 0.326653 |
| global initiative | 0.257681 |
| National Center | 0.228464 |
| World Health Organization | 0.296435 |
| Birth Defects COUNT | 0.348484 |
| CDC. Spina Bifida | 0.271082 |
| lifetime direct cost | 0.253962 |
| corn grits | 0.228756 |
| Science. Develop | 0.227974 |
| major cause | 0.23079 |
| Development Goal | 0.22749 |
| sexually transmitted diseases | 0.24714 |
| Tilford JM | 0.228204 |
| cereal grain products | 0.252099 |
| tube defects prevention | 0.34825 |
| higher rates | 0.228807 |
| folic acid fortification | 0.424066 |
|
| public health policy | 0.25387 |
| United States | 0.340386 |
| folic acid present | 0.331757 |
| folic acid interventions | 0.330509 |
| folic acid intake | 0.328325 |
| U.S. American Journal | 0.249285 |
| CDC. CDC Grand | 0.258757 |
| congenital anomalies | 0.24845 |
| blood folate levels | 0.252275 |
| in-country abilities | 0.227704 |
| birth defects prevention | 0.318951 |
| neural tube defect | 0.378284 |
| Prevent Neural Tube | 0.320713 |
| focus areas | 0.228213 |
| Murray CJ | 0.246858 |
| folic acid | 0.608332 |
| lifelong disability | 0.289469 |
| lifelong disability worldwide | 0.264242 |
| non-Hispanic women | 0.232674 |
| breakfast cereals | 0.227915 |
| fortification policies | 0.246358 |
| birth defects | 0.4219 |
| Partnership. Engage | 0.227421 |
| folic acid research | 0.339713 |
|
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| 8471 |
Centers for Disease Control and Prevention |
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Sharon's Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The story of Sharon, a former smoker who had throat cancer and who is featured in CDC's Tips from Former Smokers campaign. |
| seventies | 0.505782 |
| surgeries | 0.484652 |
| casual smoking | 0.761504 |
| 14 years | 0.456947 |
| expensive addiction | 0.763375 |
| video | 0.456721 |
| Sharon | 0.787512 |
| throat cancer | 0.994015 |
| larynx | 0.504225 |
| puff | 0.501869 |
|
| young age | 0.676759 |
| radiation | 0.470285 |
| Smokers® campaign | 0.694038 |
| cigarettes | 0.495369 |
| thirties | 0.49157 |
| time | 0.462818 |
| stage IV throat | 0.80288 |
| CDC’s Tips | 0.713979 |
| large growth | 0.712788 |
|
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| 8882 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Stories |
CDC works 24/7 to save lives, reduce disease, and improve health around the world. |
| CDC | 0.610252 |
| infectious diseases | 0.626325 |
| public health analysts | 0.598197 |
| Ebola outbreak | 0.586456 |
| emergency operations center | 0.648687 |
| Global Polio Eradication | 0.579854 |
| health security success | 0.596576 |
| health care. | 0.580473 |
| global health impact | 0.612201 |
| World Health Organization | 0.651874 |
| health facilities | 0.576643 |
| Health care workers | 0.604721 |
| field epidemiology | 0.58967 |
| Public health workers | 0.611087 |
| public health officials | 0.693343 |
| lethal public health | 0.601381 |
| Health identify patients | 0.586322 |
| Health Resources Services | 0.598128 |
| South Africa | 0.615704 |
| public health agencies | 0.621539 |
| public health emergencies… | 0.610073 |
| global health security | 0.799961 |
| Health Security Agenda | 0.639137 |
| global health problem | 0.597281 |
| community health extension | 0.589056 |
|
| disease outbreaks | 0.60743 |
| global health response | 0.603403 |
| public health threats | 0.670719 |
| health facility-based disease | 0.616957 |
| Public Health Degrees | 0.605662 |
| public health victories | 0.596084 |
| field epidemiology training | 0.585351 |
| public health emergency | 0.628193 |
| solid public health | 0.61009 |
| public health stakeholders | 0.600579 |
| local disease outbreak | 0.590685 |
| primary health center | 0.590713 |
| private health sector | 0.591444 |
| public health | 0.972726 |
| largest public health | 0.600232 |
| epidemiology training program | 0.584626 |
| international disease outbreaks | 0.599495 |
| people | 0.591129 |
| World Health Assembly | 0.599825 |
| sustainable national health | 0.59644 |
| global HIV/AIDS epidemic | 0.584264 |
| global health partners | 0.604056 |
| Solino Health Center | 0.591596 |
| public health laboratory | 0.635721 |
|
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| 10225 |
Centers for Disease Control and Prevention |
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Public Service Announcements: Staying Safe in Your Home During a Hurricane (ASL) |
null |
| typhoons | 0.450001 |
| injuries | 0.400141 |
| high tidal waves | 0.963398 |
| flooding | 0.435299 |
| hurricane | 0.402652 |
| water | 0.375881 |
| food | 0.376121 |
|
| high winds | 0.707806 |
| cyclones | 0.431519 |
| tropical storms | 0.746931 |
| world | 0.381241 |
| heavy rain | 0.732409 |
| hurricanes | 0.722042 |
|
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| 10320 |
Centers for Disease Control and Prevention |
Html |
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HAN Archive - 00331 - Thrombotic Thrombocytopenic Purpura (TTP) Associated with Intravenous Nonmedical Use of Opana ER® |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| nonmedical reasons | 0.638088 |
| current case definition | 0.608886 |
| Disease Control | 0.627435 |
| prescription drugs | 0.5683 |
| case-control study | 0.566855 |
| case patients | 0.62126 |
| original formulation | 0.627002 |
| public health surveillance | 0.610869 |
| nonmedical purposes | 0.57345 |
| high case-fatality rate | 0.609728 |
| opioid pain relievers | 0.643544 |
| Opana ER® | 0.982347 |
| patients | 0.627954 |
| prescription opioid pain | 0.663569 |
| anti-platelet drugs | 0.565681 |
| northeastern Tennessee | 0.563918 |
| drug abuse-related TTP | 0.695069 |
| PM ET | 0.56756 |
| recent case | 0.569453 |
| index cluster | 0.564455 |
| new formulation | 0.669658 |
| Tennessee residents | 0.565357 |
| obvious explanation | 0.56404 |
| U.S.-based Endo Pharmaceuticals | 0.609269 |
|
| Initial cases | 0.570771 |
| CDC Health Alert | 0.646447 |
| around-the-clock opioid treatment | 0.642726 |
| Drug Administration | 0.632211 |
| oxymorphone extended-release | 0.570886 |
| reliever Opana ER | 0.650829 |
| drug-associated TTP | 0.642668 |
| enhances health decisions | 0.607716 |
| TTP | 0.722958 |
| critical health issues | 0.609677 |
| TDH | 0.613806 |
| Tennessee Department | 0.63142 |
| small rural community | 0.620532 |
| negative drug test | 0.61626 |
| advanced cancer | 0.564013 |
| Drug Enforcement Administration | 0.618329 |
| thrombotic thrombocytopenic purpura | 0.635836 |
| undisclosed sources | 0.564296 |
| Schedule II prescription | 0.565717 |
| Abnormally low levels | 0.614738 |
| TTP cases | 0.650192 |
| opioid pain reliever | 0.787243 |
| critical drug | 0.568989 |
| extended-release formulation | 0.579252 |
|
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| 11093 |
Centers for Disease Control and Prevention |
Html |
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2012 National Report on Biochemical Indicators of Diet and Nutrition - Frequently Asked Questions |
CDC's Second Nutrition Report is a comprehensive biochemical assessment of the U.S. population's nutrition status Covering 58 biochemical indicators. The Second Nutrition Report is part of a series of publications that provide ongoing assessment of the U.S. population's nutrition status by measuring blood and urine concentrations of biochemical indicators from people who took part in CDC's National Health and Nutrition Examination Survey (NHANES) |
| fatty acid levels | 0.456862 |
| first-time data | 0.379598 |
| biochemical indicator levels | 0.462053 |
| diet-and-nutrition biochemical indicator | 0.440064 |
| CDC NHANES Web | 0.379444 |
| vitamin B6 | 0.461315 |
| nutrition deficiency | 0.386619 |
| health outcomes | 0.411996 |
| nutrition status | 0.662125 |
| iron deficiency | 0.394312 |
| Nutrition Examination Survey | 0.390504 |
| new biochemical indicators | 0.528155 |
| general U.S. population | 0.422371 |
| public health officials | 0.379259 |
| vitamin D deficiency | 0.464623 |
| biochemical indicators | 0.941702 |
| biochemical levels | 0.482609 |
| population groups | 0.437521 |
| urine levels | 0.408824 |
| human health studies | 0.379095 |
| Web site | 0.427624 |
| vitamin C deficiency | 0.43645 |
| vitamin supplements | 0.443231 |
| blood folate levels | 0.470853 |
| public health scientists | 0.38079 |
|
| nutrition indicators | 0.464694 |
| nutrition report | 0.457723 |
| nutrition status factors | 0.394193 |
| dietary supplements | 0.493954 |
| iron-status indicators | 0.430469 |
| No. NHANES data | 0.382551 |
| non-Hispanic whites | 0.395003 |
| race/ethnic groups | 0.383052 |
| heart-healthy polyunsaturated fatty | 0.387654 |
| adequate biochemical levels | 0.460994 |
| fatty acids | 0.443808 |
| population reference levels | 0.416716 |
| non-hispanic blacks | 0.432034 |
| U.S. population | 0.821055 |
| Folate deficiency | 0.39808 |
| food safety | 0.383638 |
| biochemical indicator concentrations | 0.438095 |
| public health efforts | 0.43355 |
| report | 0.614299 |
| population groups−like minorities | 0.396039 |
| information | 0.389988 |
| risk | 0.379601 |
| levels | 0.528883 |
| age | 0.400531 |
|
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| 11273 |
Centers for Disease Control and Prevention |
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Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Distribution of Employed Youth FTEs (Ages 16-17) by Industry Sector, United States, 2011 |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Distribution of Employed Youth FTEs (Ages 16-17) by Industry Sector, United States, 2011 |
| CDC | 0.257579 |
| United States | 0.625133 |
| Health | 0.235663 |
| Industry Sector | 0.695103 |
| Employed Youth FTEs | 0.99791 |
| Charts | 0.235509 |
| public microdata files | 0.57626 |
| Young Worker Employment | 0.63939 |
|
| Current Population Survey | 0.534916 |
| Illnesses | 0.251975 |
| Young Worker Safety | 0.645129 |
| Distribution | 0.272538 |
| NIOSH analyses | 0.423891 |
| Labor Statistics | 0.37885 |
| Injuries | 0.245732 |
|
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