| 6176 |
Centers for Disease Control and Prevention |
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Awareness, treatment, and control of hypertension and hypercholesterolemia among insured residents of New York City, 2004. |
The objective of this study was to examine awareness, treatment, and control of hypertension and hypercholesterolemia, by health care access and sociodemographic characteristics, among insured adults in New York City. |
| North Carolina | 0.306787 |
| worse hypertension control | 0.314802 |
| high school | 0.308273 |
| health insurance | 0.407767 |
| positive health care | 0.291408 |
| systolic blood pressure | 0.507568 |
| total cholesterol | 0.391771 |
| hypercholesterolemia | 0.459659 |
| NYC HANES | 0.370238 |
| care access factors | 0.290972 |
| New York City | 0.820879 |
| private health insurance | 0.309509 |
| insurance type | 0.408611 |
| Global Public Health | 0.307313 |
| private insurance | 0.291027 |
| chronic disease management | 0.329248 |
| Nutrition Examination Survey | 0.3206 |
| health care access | 0.583274 |
| North Carolina Gillings | 0.294817 |
| health insurance coverage | 0.288919 |
| blood pressure | 0.568035 |
| cardiovascular disease risk | 0.285264 |
| hypertension control | 0.346502 |
| insured adults | 0.378727 |
| Carolina Gillings School | 0.295073 |
|
| public health insurance | 0.313519 |
| blood pressure measurements | 0.311063 |
| York City residents | 0.288025 |
| Hypercholesterolemia awareness | 0.297252 |
| chronic disease | 0.359128 |
| sociodemographic inequalities | 0.287584 |
| sociodemographic characteristics | 0.469124 |
| Introduction
Health care | 0.313442 |
| treatment | 0.30897 |
| hypertension treatment | 0.283239 |
| United States | 0.322778 |
| treatment rates | 0.296174 |
| chronic disease care | 0.348285 |
| non-Hispanic whites | 0.321582 |
| public health | 0.326602 |
| participants | 0.287064 |
| York City Health | 0.319418 |
| routine physical examination | 0.295443 |
| routine place | 0.993059 |
| chronic conditions | 0.283338 |
| disease management | 0.429268 |
| York City Department | 0.312952 |
| care access characteristics | 0.341996 |
| York City adults | 0.323491 |
|
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| 8762 |
Centers for Disease Control and Prevention |
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en |
Telebriefing on Vital Signs Report:Hepatitis C Virus Infection Testing and Reporting Eight U.S. Sites, 2005-2011 |
CDC Telebriefing on Vital Signs Report:Hepatitis C Virus Infection Testing and Reporting – Eight U.S. Sites, 2005-2011 |
| hepatitis C testing | 0.799615 |
| media availability | 0.576383 |
| STD | 0.373752 |
| Non-Media | 0.416176 |
| proportion | 0.389189 |
| M.D. | 0.394635 |
| virus | 0.353734 |
| transcript | 0.411385 |
| U.S. DEPARTMENT | 0.572 |
| PASSCODE | 0.407577 |
| telephone-only media briefing | 0.988683 |
| M.P.H | 0.39613 |
| Tuesday | 0.352064 |
| Division | 0.348796 |
| pm EDT | 0.65056 |
| Tuberculosis Prevention | 0.621743 |
| Important Instructions | 0.595028 |
| dial | 0.362248 |
| National Center | 0.600539 |
|
| HIV/AIDS | 0.356796 |
| John Ward | 0.610767 |
| disease | 0.352473 |
| CDC Media | 0.686959 |
| question | 0.469522 |
| CDC Director Tom | 0.958414 |
| new Vital Signs | 0.917147 |
| Viral Hepatitis | 0.976292 |
| persons | 0.353208 |
| complete testing | 0.620168 |
| Frieden | 0.402941 |
| report | 0.353978 |
| multi-area analysis | 0.699024 |
| touchtone phone | 0.621195 |
| HUMAN SERVICES | 0.571174 |
| time | 0.346928 |
| press conference | 0.578508 |
| populations | 0.364548 |
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| 9048 |
Centers for Disease Control and Prevention |
Html |
en |
Guinea Worm Disease - Disease |
Education and information about Dracunculiasis, also known as Guinea Worm Disease, signs and symptoms. |
| wound infections | 0.598563 |
| burning pain | 0.613799 |
| world’s population | 0.548002 |
| disability | 0.446381 |
| larvae | 0.353174 |
| following complications | 0.571864 |
| worm removal | 0.672059 |
| common outcome | 0.557846 |
| children | 0.416439 |
| poverty | 0.393372 |
| animals | 0.344671 |
| hundreds | 0.342957 |
| addition | 0.343742 |
| proper care | 0.564296 |
| dead worm | 0.68925 |
| safe drinking water | 0.748418 |
| cool water | 0.56421 |
| negative impacts | 0.548513 |
| symptoms | 0.470506 |
| difficulty | 0.34646 |
| bursts | 0.365608 |
| person | 0.411688 |
| millions | 0.348132 |
| fields | 0.34471 |
|
| average | 0.346235 |
| access | 0.344228 |
| blister | 0.867667 |
| skin | 0.352615 |
| death rate | 0.555435 |
| intense inflammation | 0.581244 |
| dollars | 0.349668 |
| recovery | 0.344802 |
| lower body parts | 0.802345 |
| blister forms | 0.765852 |
| financial losses | 0.554084 |
| GWD | 0.831275 |
| place | 0.344846 |
| temperature change | 0.571453 |
| health care | 0.543869 |
| cellulitis | 0.375873 |
| cases | 0.349462 |
| villages | 0.346703 |
| families | 0.344539 |
| secondary bacterial infections | 0.776007 |
| people | 0.439837 |
| disabled family members | 0.763565 |
| worm breaks | 0.6932 |
| infection rates | 0.5516 |
|
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| 9924 |
Centers for Disease Control and Prevention |
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en |
NIOSH Program Portfolio : Total Worker Health : Grants |
The TWH Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders. |
| worker health | 0.719952 |
| currently funded research | 0.664299 |
| health care reimbursements | 0.668772 |
| employee health services | 0.665129 |
| occupational health | 0.709378 |
| WorkLife Center research | 0.668595 |
| decrease health care | 0.662317 |
| employee health programs | 0.683874 |
| employee health policy | 0.667152 |
| Center employee health | 0.690417 |
| cru6@cdc.gov | 0.654925 |
| Maria Lioce | 0.643725 |
| health care expenditures | 0.716988 |
| participatory health promotion | 0.68212 |
| worksite health protection | 0.683289 |
| health behavior change | 0.650833 |
| workplace health promotion | 0.686364 |
| Science University | 0.652148 |
| novel intervention methods | 0.647828 |
| health care costs | 0.669779 |
| worker health benefits | 0.659219 |
| physical health | 0.647039 |
| Oregon Healthy WorkLife | 0.657426 |
| health protection/disease promotion | 0.680224 |
|
| Oregon Health | 0.700565 |
| proven intervention methods | 0.64506 |
| health care utilization | 0.664789 |
| Healthy WorkLife Center | 0.6721 |
| health promotion | 0.966795 |
| Project contact | 0.7947 |
| Project period | 0.804694 |
| Worker Health Programs | 0.67142 |
| core public health | 0.668031 |
| health coach health | 0.753149 |
| health care workers | 0.727466 |
| health promotion program | 0.834303 |
| NIOSH contact | 0.807179 |
| health protection/promotion research | 0.698185 |
| health care | 0.819698 |
| public health | 0.743568 |
| key health indicators | 0.656674 |
| worksite health promotion | 0.739504 |
| health promotion programs | 0.702603 |
| health care institutions | 0.66451 |
| worksite weight management | 0.646589 |
| worker health outcomes | 0.679672 |
| Health promotion intervention | 0.774697 |
| Occupational Health Psychology | 0.676961 |
|
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| 10633 |
Centers for Disease Control and Prevention |
Html |
en |
Younger teens still account for 1 in 4 teen births | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| non-Hispanic black teens | 0.5771 |
| teen births | 0.308377 |
| teen childbearing | 0.247558 |
| Vital Signs | 0.544267 |
| Mortality Weekly Report | 0.23818 |
| risky sexual behaviors | 0.229578 |
| age group | 0.257754 |
| Asian/Pacific Islander teens | 0.538778 |
| formal sex education | 0.241074 |
| teens | 0.902447 |
| Indian/Alaska Native teens | 0.791132 |
| high school education | 0.222966 |
| sexually active teens | 0.73359 |
| CDC journal Morbidity | 0.279939 |
| health care-associated infections | 0.228324 |
| birth rate | 0.253578 |
| prescription drug overdose | 0.223634 |
|
| key health indicators | 0.230007 |
| motor vehicle passenger | 0.218925 |
| teen pregnancy | 0.948399 |
| younger teens | 0.851984 |
| Vital Signs report | 0.444214 |
| teen pregnancy rates | 0.344208 |
| CDC Director Tom | 0.330094 |
| teen pregnancy visit | 0.314771 |
| older teens | 0.374281 |
| non-Hispanic white teens | 0.576743 |
| National Vital Statistics | 0.273681 |
| previous CDC reports | 0.286217 |
| teen pregnancy prevention | 0.509721 |
| Hispanic teens | 0.419094 |
| health behavior data | 0.262272 |
| high school diploma | 0.21668 |
| American Indian/Alaska Native | 0.514756 |
|
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| 10781 |
Centers for Disease Control and Prevention |
Html |
en |
Laos and Nicaragua Expand Flu Protection with Help from CDC and Growing Partnership |
International highlight article: Laos and Nicaragua Expand Flu Protection with Help from CDC and Growing Partnership |
| seasonal flu vaccination | 0.705148 |
| vaccine manufacturer | 0.432026 |
| Task Force | 0.378183 |
| Walgreens Company | 0.391713 |
| seasonal influenza vaccination | 0.505697 |
| pregnant women | 0.757646 |
| flu vaccination program | 0.704584 |
| Melinda Gates Foundation | 0.451909 |
| lower-income countries | 0.389305 |
| annual influenza epidemics | 0.452312 |
| CDC Influenza Division | 0.497421 |
| flu vaccination | 0.823641 |
| seasonal influenza vaccines | 0.459269 |
| Laos Ministry | 0.401719 |
| influenza vaccine | 0.66258 |
| Program assists countries | 0.386813 |
| World Health Organization | 0.386748 |
| influenza control | 0.413598 |
| countries | 0.39595 |
| influenza vaccination status | 0.499133 |
| partner Becton Dickinson | 0.378072 |
| Influenza Vaccine Introduction | 0.643147 |
| high risk | 0.386179 |
| Global Health Task | 0.389839 |
|
| National Immunization Program | 0.389858 |
| Pan-American Health Organization | 0.39369 |
| United States | 0.386786 |
| flu vaccination sites | 0.56309 |
| PIVI | 0.41904 |
| flu vaccine | 0.959762 |
| influenza vaccination programs | 0.508048 |
| Vaccine Equity | 0.473236 |
| annual flu vaccine | 0.573625 |
| flu shots | 0.493912 |
| health care workers | 0.467628 |
| influenza vaccine development | 0.538061 |
| seasonal influenza vaccine | 0.551033 |
| flu seasons | 0.463628 |
| flu vaccine donation | 0.597067 |
| seasonal flu vaccine | 0.62804 |
| first-ever seasonal flu | 0.511664 |
| influenza vaccination | 0.532741 |
| flu vaccine supplies | 0.607334 |
| Nicaragua | 0.384581 |
| flu vaccination clinic | 0.594566 |
| flu season | 0.492912 |
| flu vaccination programs | 0.542949 |
| Country-led program evaluation | 0.384124 |
|
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| 12893 |
Centers for Disease Control and Prevention |
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en |
Transcript for CDC Telebriefing: What actions could reduce 40% of death and injury among truck drivers? |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Dr. Ileana Arias | 0.994975 |
| FOIA | 0.227862 |
| Vital Signs briefing | 0.724871 |
| opening remarks | 0.447161 |
| Principal Deputy Director | 0.713564 |
| BENJAMIN HAYNES | 0.467681 |
| NIOSH | 0.202104 |
| Tweet | 0.20879 |
| MENU
CDC A-Z | 0.875298 |
|
| Human Services | 0.379038 |
| OIG | 0.233211 |
| Doctors Arias | 0.65821 |
| U.S. Department | 0.380192 |
| Good afternoon | 0.457431 |
| Dr. Stephanie Pratt | 0.781956 |
| truck drivers | 0.406471 |
| TTY | 0.218012 |
| motor vehicle crashes | 0.709631 |
|
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| 13534 |
Centers for Disease Control and Prevention |
Html |
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Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015 |
Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2. |
| 1Epidemic Intelligence Service | 0.771089 |
| United States | 0.792189 |
| Urine toxic metals | 0.822945 |
| Vata Chintamani Rasa | 0.798585 |
| chelation therapy | 0.806149 |
| daily MG | 0.735695 |
| Shree Dhootapapeshwar Limited | 0.783422 |
| Wisconsin public health | 0.830198 |
| U.S. Environmental Protection | 0.782173 |
| possible environmental sources | 0.795783 |
| human health | 0.727112 |
| local health department | 0.850808 |
| Wisconsin Division | 0.722339 |
| endogenous physiologic role | 0.782244 |
| elevated blood lead | 0.87355 |
| Ayurvedic medication | 0.807831 |
| earlier reported risk | 0.776736 |
| highly toxic substance | 0.774503 |
| normal range | 0.804711 |
| Ayurvedic medications | 0.917543 |
| toxic metals | 0.859353 |
| local health departments | 0.840873 |
| inpatient medical evaluation | 0.792816 |
| public health | 0.962488 |
|
| peripheral blood smear | 0.795889 |
| lead-based herbal medicine | 0.7648 |
| female patient | 0.747079 |
| water lead level | 0.823907 |
| furnace atomic absorption | 0.773182 |
| Ayurvedic medicines | 0.748148 |
| Occupational Health | 0.717969 |
| optical emission spectroscopy | 0.774746 |
| outpatient lead | 0.735976 |
| BLL testing results | 0.876133 |
| Wisconsin State Laboratory | 0.79247 |
| local public health | 0.816469 |
| putative health benefits | 0.800589 |
| lead shot | 0.733934 |
| lead poisoning | 0.733678 |
| health problems | 0.719508 |
| oral meso-2,3-dimercaptosuccinic acid | 0.778715 |
| Jon Meiman | 0.798887 |
| single BLL | 0.780067 |
| Sri Ayurveda Trust | 0.777929 |
| case report confirms | 0.77172 |
| urine arsenic levels | 0.847252 |
| inductively coupled plasma | 0.779558 |
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| 13768 |
Centers for Disease Control and Prevention |
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Keeping Workers Safe |
Studying workers’ sizes and shapes and how they perform tasks can prevent injury on the job. CDC offers manufacturers, employers, and others with research and important resources for improving the workspaces, machines, vehicles, and personal protective equipment of workers. |
| 3D digital scanning | 0.584428 |
| CDC’s research | 0.716209 |
| construction workers | 0.541798 |
| CDC | 0.768856 |
| engineering anthropometric research | 0.72553 |
| anthropometry | 0.990214 |
| accurate anthropometric data | 0.678684 |
| CDC’s studies | 0.610197 |
| research findings | 0.560033 |
| decades-old data | 0.557102 |
| 30-foot long trailer | 0.595925 |
| diverse worker population | 0.625097 |
| truck drivers | 0.72718 |
| work-related injuries | 0.523053 |
| engineering anthropometry | 0.955764 |
| personal protective equipment | 0.841542 |
| medical service workers | 0.633265 |
| law enforcement officers | 0.597869 |
| onsite Anthropometry Lab | 0.847104 |
| body sizes | 0.525234 |
| Anthropometry Labs | 0.737785 |
| physical measures | 0.626198 |
| industrial workers | 0.546826 |
| CDC’s Prevention | 0.623719 |
| anthropometric data | 0.797704 |
|
| meat processing workers | 0.627485 |
| U.S. making stops | 0.592235 |
| body types | 0.521325 |
| new respirator facepieces | 0.625509 |
| proper fitting PPE | 0.660333 |
| anthropometry research | 0.822921 |
| larger upper bodies | 0.598597 |
| service partners | 0.593219 |
| head-and-face anthropometry | 0.770897 |
| first-ever federal summary | 0.609303 |
| firefighter anthropometry publications | 0.858224 |
| National Institute | 0.527417 |
| Truck manufacturers | 0.534677 |
| farm tractor-cab layout | 0.592886 |
| Computer-generated human models | 0.589955 |
| average U.S. population,2 | 0.611236 |
| high resolution scans | 0.581987 |
| driver anthropometry data | 0.889417 |
| past data | 0.546766 |
| truck cabs | 0.529067 |
| data collection | 0.536645 |
| fall-arrest harness systems | 0.595495 |
| important resources | 0.52915 |
| Mobile Anthropometry Lab | 0.963384 |
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CLICK HERE |
| 14048 |
Centers for Disease Control and Prevention |
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E-cigarette Ads and Youth Infographics |
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CLICK HERE |