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Additional $34.2 Million for Public Health Improvement Programs through Affordable Care Act - Press Release: March 25, 2011 |
Additional $34.2 Million for Public Health Improvement Programs through Affordable Care Act |
| Centers | 0.517654 |
| better health outcomes | 0.697892 |
| health threats | 0.625445 |
| accreditation standards | 0.590455 |
| M.D. | 0.530291 |
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| strong public health | 0.716881 |
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| behalf | 0.516274 |
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| Prevention | 0.517628 |
| new money | 0.588826 |
| CDC Director Thomas | 0.692292 |
| Disease Control | 0.606662 |
| U.S. DEPARTMENT | 0.587229 |
| health departments | 0.851963 |
| M.P.H | 0.523798 |
| ability | 0.529952 |
| additional funds | 0.596377 |
| Healthy People | 0.583758 |
| public health services | 0.755777 |
| additional Affordable Care | 0.692418 |
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| public health | 0.952857 |
| visit http://www.cdc.gov/ostlts/NPHII/nphiifoa.html | 0.58607 |
| disasters | 0.516184 |
| Public Health Infrastructure | 0.70331 |
| timely detection | 0.593069 |
| Judith A. Monroe | 0.661782 |
| investment | 0.517613 |
| R. Frieden | 0.605964 |
| tribal | 0.527519 |
| adhere | 0.521111 |
| financial challenges | 0.591129 |
| national performance | 0.587241 |
| Territorial Support | 0.609767 |
| agents | 0.517228 |
| general public health | 0.735064 |
| public health capacity | 0.71492 |
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| Act | 0.516346 |
| limited resources | 0.584814 |
| HUMAN SERVICES | 0.586131 |
| Safe food | 0.591603 |
| outbreaks | 0.518337 |
| system-wide performance improvement | 0.672399 |
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Centers for Disease Control and Prevention |
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Binge Drinking Among Women and High School Girls: Vital Signs - United States, 2011 |
Background: Excessive alcohol use accounted for an estimated average of 23,000 deaths and 633,000 years of potential life lost (YPLL) among women and girls in the United States each year during 2001–2005. Binge drinking accounted for more than half of those deaths and YPLL. Binge drinking also is a risk factor for many health and social problems among women and girls, including unintended and alcohol-exposed pregnancy, sexually transmitted diseases, and breast cancer. |
| gastric alcohol dehydrogenase | 0.449031 |
| presumed alcohol consumption | 0.455848 |
| Binge drinking intensity | 0.560954 |
| legal drinking | 0.457956 |
| Risk Factor Surveillance | 0.449861 |
| binge drinking | 0.979191 |
| blood alcohol levels | 0.470957 |
| health risk behaviors | 0.450795 |
| alcohol advertising | 0.446105 |
| Risk Behavior Survey | 0.4531 |
| alcohol spectrum disorder | 0.475274 |
| Youth Risk Behavior | 0.452576 |
| Alcohol Alcohol | 0.471335 |
| Preventive Services Task | 0.466604 |
| Excessive alcohol use* | 0.461019 |
| alcohol | 0.581973 |
| response rate | 0.457456 |
| higher blood alcohol | 0.451191 |
| current alcohol | 0.542593 |
| U.S. high school | 0.46277 |
| heavy drinking | 0.455256 |
| fetal alcohol spectrum | 0.474995 |
| U.S. adult women | 0.47918 |
| Behavioral Risk Factor | 0.449641 |
| women | 0.552422 |
|
| high blood alcohol | 0.480321 |
| U.S. Preventive Services | 0.468657 |
| United States | 0.453938 |
| drinks | 0.4688 |
| alcohol consumption | 0.54009 |
| alcohol misuse | 0.450749 |
| adult drinking behavior | 0.472333 |
| national Youth Risk | 0.452456 |
| excessive alcohol | 0.476421 |
| U.S. state alcohol | 0.45278 |
| highest binge drinking | 0.540225 |
| B. Binge drinking | 0.540116 |
| excessive drinking | 0.45946 |
| alcohol outlet density | 0.450072 |
| Services Task Force | 0.493611 |
| high school students | 0.455092 |
| alcohol sales | 0.458416 |
| binge drinking prevalence | 0.618189 |
| Naimi TS | 0.465341 |
| Community Preventive Services | 0.446536 |
| blood alcohol concentrations | 0.456526 |
| high school girls | 0.730349 |
| binge drinking frequency | 0.55607 |
| excessive alcohol consumption | 0.452831 |
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Centers for Disease Control and Prevention |
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Stroke Conditions |
Some medical conditions, including high blood cholesterol, increase your stroke risk. Learn about the conditions connected with the risk of stroke. |
| red blood cells | 0.431484 |
| plaque | 0.313582 |
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| arteries | 0.417641 |
| body | 0.381044 |
| sickle cell disease | 0.541161 |
| health care team | 0.445761 |
| atrial fibrillation | 0.372107 |
| abnormal sickle shape | 0.43181 |
| Work | 0.314142 |
| heart conditions | 0.366505 |
| flow | 0.324454 |
| National Heart | 0.366114 |
| Hispanic children | 0.363693 |
| liver | 0.32482 |
| blood vessels | 0.388918 |
| irregular heartbeat | 0.371527 |
| Blood Institute | 0.381878 |
| chances | 0.335002 |
| heart chambers | 0.367255 |
| heart valve defects | 0.423351 |
| blood vessel | 0.376603 |
| oxygen-rich blood | 0.385445 |
| insulin | 0.344807 |
|
| high levels | 0.374739 |
| various parts | 0.366419 |
| lifestyle changes | 0.370926 |
| Common heart disorders | 0.425168 |
| certain foods | 0.368796 |
| common medical conditions | 0.4417 |
| artery disease increases | 0.428338 |
| ischemic stroke | 0.450488 |
| glucose | 0.315415 |
| blood test | 0.387004 |
| blood disorder | 0.379617 |
| triglycerides | 0.317347 |
| brain | 0.355478 |
| stroke | 0.696832 |
| fat-like substance | 0.371215 |
| people | 0.324126 |
| doctor | 0.324927 |
| high blood pressure | 0.926589 |
| body needs | 0.366593 |
| blood clots | 0.387453 |
| risk | 0.390972 |
| main cause | 0.376899 |
| extra cholesterol | 0.391655 |
| waxy | 0.316554 |
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Centers for Disease Control and Prevention |
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VWD, Facts - NCBDDD |
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| bleeding | 0.537703 |
| common bleeding events | 0.468043 |
| blood tests | 0.358643 |
| common bleeding disorder | 0.485367 |
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| type | 0.452119 |
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| small blood cells | 0.426255 |
| hard-to-stop bleeding | 0.448901 |
| heavy menstrual periods | 0.401469 |
| low levels | 0.454643 |
| spontaneous mutation | 0.36 |
| commonly used types | 0.397069 |
| VWD | 0.946396 |
| VWF | 0.713216 |
| high-strength nasal spray | 0.398281 |
| menstrual blood loss | 0.409191 |
| complete lack | 0.36016 |
| Von Willebrand disease | 0.417024 |
| VWF protein | 0.474717 |
| person | 0.518769 |
| menstrual periods | 0.419006 |
| unusual bruising | 0.357461 |
| bleeding symptoms | 0.421082 |
|
| specific problem | 0.360476 |
| United States | 0.362148 |
| von Willebrand factor | 0.439208 |
| Birth control pills | 0.399139 |
| factor | 0.462723 |
| milder forms | 0.45969 |
| mildest form | 0.361789 |
| normal amounts | 0.360867 |
| rarest type | 0.36554 |
| blood disorder | 0.371961 |
| blood-clotting protein | 0.357059 |
| people | 0.547905 |
| blood | 0.499374 |
| U.S. population | 0.360312 |
| recent bleeding | 0.422364 |
| nasal spray | 0.401041 |
| body stop | 0.359633 |
| missing factor | 0.370672 |
| blood clots | 0.4072 |
| low level | 0.361744 |
| Recombinant VWF | 0.44883 |
| major signs | 0.356821 |
| normal levels | 0.398689 |
| internal organs | 0.361832 |
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| 8674 |
Centers for Disease Control and Prevention |
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Pool & Spa (Hot Tub) Test Strips Home Test Instructions - Healthy Swimming & Recreational Water |
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| 8972 |
Centers for Disease Control and Prevention |
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June 2013 Edition - Public Health Law News |
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| Health Insurance Marketplace | 0.395743 |
| public health interventions | 0.415979 |
| Health Aquatic Symposium | 0.406994 |
| broader health care | 0.405882 |
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| state health commissioner | 0.413937 |
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| public health laboratories | 0.445371 |
| public health agencies | 0.439631 |
| Public Health Future,which | 0.423302 |
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| public health governance | 0.422499 |
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| health care support | 0.404987 |
| Public Health Ethics | 0.433243 |
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| U.S. public health | 0.415088 |
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| state health | 0.434922 |
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| Model Aquatic Health | 0.413761 |
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| Aquatic Health Code | 0.409041 |
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Centers for Disease Control and Prevention |
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Un marco de trabajo para las aplicaciones prácticas en salud pública: el marco de trabajo Del conocimiento a la acción |
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| Wilson KM | 0.406915 |
| trabajo k2a | 0.393364 |
| alto nivel | 0.387303 |
| Brady TJ | 0.413877 |
| Catherine Lesesne | 0.422425 |
| enfermedades crónicas | 0.559068 |
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| evaluación subyacente ciñe | 0.471059 |
| NCCDPHP Citación | 0.402595 |
| salud pública | 0.933876 |
| Lesesne C | 0.418507 |
| Teresa J | 0.405883 |
| Chronic Dis | 0.41145 |
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Centers for Disease Control and Prevention |
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Approaches for Controlling Illicit Tobacco Trade - NineCountries and the European Union |
Hana Ross, PhD1; Muhammad Jami Husain, PhD2; Deliana Kostova, PhD2; Xin Xu, PhD2; Sarah M. Edwards, MSPH2; Frank J. Chaloupka, PhD3; Indu B. |
| EU action plan | 0.292856 |
| illicit trade | 0.887343 |
| common anti-illicit–trade measures | 0.269873 |
| multiple international sources | 0.280396 |
| illicit domestic movement | 0.412362 |
| track-and-trace systems | 0.467235 |
| illicit tobacco trade | 0.915775 |
| tobacco trade refers | 0.38644 |
| commonly identified approaches | 0.287961 |
| World Health Organization | 0.344886 |
| tobacco prevention | 0.335944 |
| Frank J. Chaloupka | 0.281971 |
| address illicit tobacco | 0.470901 |
| fully functioning track-and-trace | 0.275603 |
| countries | 0.4236 |
| tobacco industry | 0.336419 |
| tobacco products | 0.658683 |
| national recordkeeping | 0.321215 |
| global tobacco prevention | 0.325471 |
| global information sharing | 0.271494 |
| domestic illicit market | 0.412134 |
| Sarah M. Edwards | 0.276776 |
| Indu B. Ahluwalia | 0.282361 |
| commonly used approaches | 0.283221 |
| EU member states | 0.296257 |
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| global capacity | 0.311127 |
| EU Tobacco Products | 0.368081 |
| Muhammad Jami Husain | 0.351175 |
| individual member states | 0.277947 |
| government tax revenue | 0.286515 |
| product markers | 0.352019 |
| U.S. tobacco market | 0.326014 |
| public awareness | 0.27784 |
| trade protocol | 0.58557 |
| tobacco taxes | 0.296568 |
| world cigarette market | 0.280865 |
| illicit trade incentives | 0.437618 |
| Tobacco Control | 0.305761 |
| standard track-and-trace model | 0.27629 |
| approaches | 0.288852 |
| tobacco companies | 0.295927 |
| member states | 0.336371 |
| Chronic Disease Prevention | 0.313585 |
| illicit trade protocol | 0.503868 |
| tax harmonization | 0.319783 |
| Illicit trade undermines | 0.495288 |
| illicit market | 0.421118 |
| tax evasion | 0.283685 |
| Public awareness programs | 0.270661 |
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Data Sources, Methods, and Limitations |
FluVaxView Interactive Data Sources, Methods, and Limitations - CDC |
| data sources | 0.634432 |
| seasons | 0.214026 |
| FluVaxView Interactive | 0.726048 |
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| methods | 0.210358 |
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| trend report data | 0.891596 |
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Update: Interim Guidance for Prevention of Sexual Transmission of Zika Virus - United States, July 2016 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| mosquito-borne Zika virus | 0.414297 |
| CDC | 0.366726 |
| symptomatically infected woman | 0.344236 |
| effective contraceptive methods | 0.379087 |
| asymptomatically infected man | 0.34465 |
| symptom onset | 0.390261 |
| health care provider | 0.344205 |
| Zika virus | 0.943275 |
| Zika virus-affected area | 0.365336 |
| United States.¶ Sexually | 0.345701 |
| possible sexual exposure | 0.349657 |
| possible Zika virus | 0.404274 |
| potential sexual exposure | 0.359527 |
| pregnant women | 0.418128 |
| serial semen specimens | 0.341496 |
| sexual contact | 0.354241 |
| active Zika virus | 0.628687 |
| state health departments | 0.340833 |
| male sex partner | 0.358559 |
| anal sex | 0.35153 |
| adverse fetal effects | 0.341376 |
| health care providers | 0.375722 |
| female genitourinary tract | 0.340548 |
| barrier methods | 0.40708 |
| National Center | 0.353543 |
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| sex partner | 0.42546 |
| Zika virus RNA | 0.422122 |
| female sex partners | 0.355099 |
| Zika virus disease | 0.441416 |
| couples | 0.365549 |
| currently available information | 0.340774 |
| transcription–polymerase chain reaction | 0.343846 |
| sex.†Sexual exposure | 0.359182 |
| Zika virus transmission | 0.611474 |
| sexual exposure | 0.386413 |
| sex partners | 0.409853 |
| Zika virus infection | 0.517513 |
| interim guidance | 0.344477 |
| Zika virus disease** | 0.415073 |
| infectious Zika virus | 0.419047 |
| sexually transmitted infections | 0.379834 |
| Zika virus transmission* | 0.431083 |
| Zika virus infections | 0.414394 |
| sexual transmission | 0.613592 |
| active Zika transmission | 0.380121 |
| Chronic Disease Prevention | 0.33997 |
| pregnant couples | 0.363869 |
| risk | 0.346721 |
| Zika virus testing | 0.426733 |
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