| 6176 |
Centers for Disease Control and Prevention |
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en |
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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| 7080 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Papau New Guinea |
null |
| HIV Patient Database | 0.873314 |
| national health information | 0.808569 |
| in-country partners | 0.672821 |
| Centers | 0.434648 |
| treatment | 0.430771 |
| Papua New Guinea | 0.835932 |
| U.S. Agency | 0.608133 |
| HIV electronic health | 0.892305 |
| accuracy | 0.433744 |
| focus | 0.43031 |
| data-driven decision-making | 0.613413 |
| high-quality data | 0.593619 |
| HIV prevention | 0.724287 |
| experience | 0.432429 |
| National HIV Surveillance | 0.91859 |
| International Development | 0.607881 |
| skills | 0.432455 |
| U.S. agencies | 0.608637 |
| Department | 0.461577 |
| Disease Control | 0.616844 |
| technical assistance | 0.610317 |
| HIV/AIDS surveillance systems | 0.81133 |
| health informatics | 0.608607 |
|
| coaching | 0.433119 |
| Download Overview Fact | 0.766222 |
| information systems | 0.724008 |
| HIV quality improvement | 0.864093 |
| national HIV/AIDS program | 0.873385 |
| in-country capacity | 0.666666 |
| largest HIV epidemic | 0.996898 |
| World Health Organization | 0.820089 |
| national-level government | 0.634835 |
| mentoring | 0.434884 |
| NDOH | 0.430118 |
| patient care | 0.589365 |
| data collection | 0.590315 |
| Defense | 0.43324 |
| CDC approach | 0.790287 |
| PNG’s National | 0.741667 |
| national HIV/AIDS strategy | 0.847687 |
| local capacity | 0.621168 |
| timeliness | 0.455516 |
| collaboration | 0.47064 |
| technical expertise | 0.588656 |
| Pacific Region | 0.631875 |
| Sheet | 0.431732 |
|
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| 8806 |
Centers for Disease Control and Prevention |
Html |
en |
Naegleria fowleri - Clinical Features - Info for Health Professionals |
Information for health professionals about Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| meningeal signs | 0.578271 |
| Public Health | 0.570572 |
| Acanthamoeba spp. | 0.564472 |
| death | 0.370535 |
| common early symptoms | 0.762546 |
| Autopsy findings | 0.563025 |
| clinical picture | 0.529829 |
| early stages | 0.531478 |
| symptom onset | 0.84723 |
| mental status | 0.528846 |
| taste | 0.345797 |
| granulomatous amebic encephalitis | 0.819455 |
| smell | 0.353074 |
| Information | 0.343535 |
| Later symptoms | 0.544758 |
| treatment recommendations | 0.570712 |
| shipping instructions | 0.576063 |
| CDC Emergency Operations | 0.814016 |
| Medical Professionals | 0.570173 |
| Clinicians | 0.355506 |
| contact | 0.344203 |
| bacterial meningitis | 0.562343 |
| seizures | 0.356665 |
|
| olfactory bulbs | 0.561435 |
| specimen collection guidance | 0.830256 |
| headaches | 0.350356 |
| Center | 0.344095 |
| hemorrhagic necrosis | 0.569144 |
| free-living amebae | 0.559407 |
| GAE | 0.363857 |
| nasal discharge | 0.590849 |
| coma | 0.355308 |
| nausea | 0.364322 |
| nasal obstruction | 0.60857 |
| cerebral cortex | 0.549583 |
| exposure | 0.343219 |
| cranial nerve abnormalities | 0.830978 |
| neck stiffness | 0.574606 |
| Balamuthia | 0.37587 |
| contrast | 0.348973 |
| focal neurologic deficits | 0.914323 |
| detailed guidance | 0.582492 |
| diagnostic assistance | 0.577002 |
| lethargy | 0.375232 |
| 24/7 | 0.344483 |
|
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| 9924 |
Centers for Disease Control and Prevention |
Html |
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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| 10075 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Program Portfolio : Immune, Dermal and Infectious Diseases : Program Description |
The mission of the NIOSH research program for Immune, Dermal & Infectious Diseases is to eliminate occupational injuries, illnesses, and fatalities among workers in these industries through a focused program of research and prevention. Primary efforts are focused on hazard identification since when potential hazards are recognized, work-related dermal and immune diseases can often be prevented or their effects minimized. |
| dermal diseases | 0.460508 |
| list Skip | 0.705785 |
| Infectious Disease Prevention | 0.591708 |
| trade associations | 0.324699 |
|
| Immune | 0.2227 |
| page options Skip | 0.906266 |
| professional organizations | 0.323529 |
| navigation Skip | 0.721193 |
|
CLICK HERE |
| 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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| 11048 |
Centers for Disease Control and Prevention |
Html |
en |
Botulism Associated with Home-Fermented Tofu in Two Chinese Immigrants — New York City, March–April 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. |
| Similar fermentation practices | 0.46348 |
| cranial nerve deficits | 0.512793 |
| stool specimens | 0.511785 |
| toxin production | 0.468331 |
| foodborne botulism | 0.725444 |
| New York City | 0.56128 |
| bulk tofu | 0.774921 |
| tofu manufacturing facility | 0.58481 |
| toxin formation | 0.470496 |
| foodborne botulism cases | 0.558035 |
| Clostridium botulinum spores | 0.474604 |
| Public health responders | 0.508236 |
| botulinum toxin | 0.675248 |
| bacterium Clostridium botulinum | 0.471628 |
| Alaska Native foods | 0.50144 |
| York City borough | 0.462248 |
| traditional fermented Alaska | 0.526492 |
| botulinum antitoxin | 0.477178 |
| fermented tofu | 0.657528 |
| cranial nerve palsies | 0.609086 |
| C. botulinum spores | 0.47367 |
| public health response | 0.460175 |
| deep tendon reflexes | 0.622459 |
| leftover tofu | 0.56037 |
| extremity deep tendon | 0.462163 |
|
| room temperature | 0.477002 |
| probable case | 0.490807 |
| Clostridium botulinum | 0.4762 |
| United States | 0.624666 |
| myasthenia gravis | 0.485719 |
| fermented Alaska Native | 0.526485 |
| fresh tofu | 0.64417 |
| Public Health Investigation | 0.463739 |
| upper extremity weakness | 0.509821 |
| similar recipes | 0.460087 |
| bilateral cranial nerve | 0.680866 |
| edrophonium chloride test | 0.506631 |
| Chinese grocery | 0.474049 |
| water-filled bins | 0.463298 |
| home-fermented tofu | 0.910591 |
| public health | 0.556703 |
| botulinum spores | 0.476487 |
| botulinum toxin type | 0.625368 |
| oculomotor palsy | 0.462139 |
| unfermented tofu | 0.576391 |
| Electromyography studies | 0.464381 |
| York City Department | 0.464434 |
| fresh bulk tofu | 0.630174 |
| respiratory failure | 0.486882 |
|
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| 11410 |
Centers for Disease Control and Prevention |
Html |
en |
We Can Stop HIV One Conversation at a Time | Campaigns | Act Against AIDS |
One Conversation at a Time is CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
| HIV/AIDS | 0.281866 |
| additional HIV prevention | 0.898017 |
| campaign materials | 0.424905 |
| testing resources | 0.45888 |
| national communication campaign | 0.889124 |
|
| community leaders | 0.456294 |
| highlights important facts | 0.877579 |
| open conversations | 0.523998 |
| newest HIV prevention | 0.94937 |
| Hispanics/Latinos | 0.22947 |
|
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| 13768 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 14048 |
Centers for Disease Control and Prevention |
Image |
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E-cigarette Ads and Youth Infographics |
null |
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CLICK HERE |