| 4862 |
Centers for Disease Control and Prevention |
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The prevalence of multiple sclerosis in 3 US communities: the role of vitamin D [letter]. |
null |
| William B. Grant | 0.536393 |
| Photochem Photobiol | 0.549027 |
| recent article | 0.452554 |
| United States | 0.713164 |
| ultraviolet-B irradiance | 0.474576 |
| excellent findings | 0.467198 |
| antiendotoxin effects | 0.433813 |
| solar UV irradiance | 0.581179 |
| new dietary reference | 0.564259 |
| prevalence data | 0.521653 |
| viral infections | 0.562641 |
| dashed line | 0.436674 |
| later military service | 0.526198 |
| Nutr Rev | 0.431635 |
| estimated economic burdens | 0.533642 |
| previous studies | 0.450992 |
| Epstein-Barr virus | 0.439689 |
| solar ultraviolet irradiance | 0.571366 |
| risk factors | 0.430555 |
| highest rate | 0.429823 |
| Vitamin D Society | 0.549439 |
| quadratic fit | 0.780345 |
| multiple sclerosis | 0.994928 |
| Ann Neurol | 0.42884 |
|
| 25-hydroxyvitamin D levels | 0.430856 |
| lowest levels | 0.4424 |
| Australian health officials | 0.53618 |
| possible risk factor | 0.564057 |
| Grant WB | 0.549514 |
| likely role | 0.433089 |
| UV radiation | 0.457159 |
| Munger K. Epidemiology | 0.523849 |
| Kurtzke JF | 0.432606 |
| vitamin D. | 0.56222 |
| Page WF | 0.434445 |
| MS prevalence | 0.541413 |
| National Academies | 0.432122 |
| strong support | 0.429455 |
| Sunlight Research Forum | 0.546657 |
| Canada). | 0.429533 |
| Figure. Prevalence | 0.49622 |
| solid line | 0.436344 |
| wintertime solar UVB | 0.603061 |
| UV Foundation | 0.44061 |
| Health Research Center | 0.534249 |
| beneficial properties | 0.43338 |
| Holick MF | 0.428747 |
|
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| 5211 |
Centers for Disease Control and Prevention |
Html |
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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 |
| safe water | 0.591517 |
| territorial health departments | 0.783951 |
| strong public health | 0.716881 |
| Improvement Initiative | 0.622919 |
| behalf | 0.516274 |
| public health problems | 0.730674 |
| National Public Health | 0.754338 |
| 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 |
|
| 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 |
| health reform efforts/projects | 0.684437 |
| 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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| 7861 |
Centers for Disease Control and Prevention |
Html |
en |
CDCynergy Lite - Appendix |
Gateway to Health Communication - CDCynergy Lite, appendix |
| Problem Analysis Worksheet | 0.828575 |
| logical sequence | 0.693504 |
| promotional efforts | 0.700256 |
| Supplemental Nutrition Program | 0.792108 |
| Page | 0.767825 |
| protective factors | 0.697544 |
| low literate audience | 0.810546 |
| U.S. Department | 0.703457 |
| safe places | 0.696088 |
| organization’s mission/goals | 0.697902 |
| zip codes | 0.696846 |
| relevant audience research | 0.831222 |
| secondary influencer audience | 0.808798 |
| communication | 0.701838 |
| audience segments | 0.743993 |
| health problem analysis | 0.967933 |
| unacceptably high risk | 0.791705 |
| research vendors | 0.756899 |
| breastfeeding promotional campaign | 0.799546 |
| higher socioeconomic levels | 0.786842 |
| public transportation | 0.693462 |
| research bids | 0.764438 |
| programmatic action | 0.697525 |
| Problem Analysis chart | 0.813493 |
| Start Social Marketing | 0.795002 |
|
| Problem statement | 0.742616 |
| social science departments | 0.764125 |
| benefits audience members | 0.827285 |
| political support | 0.693894 |
| WIC participants | 0.831002 |
| research facility | 0.706652 |
| genetic risk factors | 0.777582 |
| financial resources | 0.697209 |
| target audience | 0.734286 |
| social marketing | 0.868765 |
| WIC programs | 0.765747 |
| potential partners | 0.692773 |
| market research plan | 0.782259 |
| organization’s priorities | 0.695467 |
| social marketing organization | 0.802997 |
| elementary-aged school children | 0.782205 |
| sample flowchart | 0.702372 |
| Sacramento area | 0.702994 |
| specific portion | 0.70122 |
| rural adult workers | 0.788058 |
| social marketing program | 0.787601 |
| relevant technology | 0.699292 |
| budget allocation | 0.696924 |
| professional market research | 0.781485 |
|
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| 7986 |
Centers for Disease Control and Prevention |
Html |
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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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| 8158 |
Centers for Disease Control and Prevention |
Html |
en |
DHDSP - Heart Disease Signs and Symptoms |
Learn the 5 major signs and symptoms of heart attack and why it's important to call 911 for help immediately. A heart attack requires emergency care. |
| heart attack | 0.962778 |
| electrical shock | 0.599483 |
| Bystanders | 0.530822 |
| CPR | 0.545118 |
| Click | 0.522702 |
| unexplained tiredness | 0.614275 |
| emergency room | 0.595279 |
| total blockage | 0.613165 |
| cardiopulmonary resuscitation | 0.614961 |
| best treatment | 0.592082 |
| defibrillation | 0.52803 |
| heart disease | 0.600939 |
| emergency medical personnel | 0.674508 |
| major symptoms | 0.59784 |
|
| health care professionals | 0.680131 |
| vomiting | 0.527588 |
| image | 0.52142 |
| heart muscle damage | 0.684425 |
| sooner | 0.548692 |
| larger version | 0.621118 |
| nausea | 0.528924 |
| symptoms | 0.614408 |
| chances | 0.524217 |
| 9-1-1 | 0.518599 |
| major signs | 0.613569 |
| emergency treatment | 0.585443 |
| defibrillator | 0.529088 |
|
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| 8234 |
Centers for Disease Control and Prevention |
Html |
en |
VWD, Facts - NCBDDD |
null |
| bleeding | 0.537703 |
| common bleeding events | 0.468043 |
| blood tests | 0.358643 |
| common bleeding disorder | 0.485367 |
| normal bleeding | 0.45461 |
| heavy menstrual bleeding | 0.469331 |
| type | 0.452119 |
| easy bruising | 0.361462 |
| 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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| 8524 |
Centers for Disease Control and Prevention |
Html |
en |
Evaluating Surveillance Indicators Supporting the GlobalPolio Eradication Initiative, 2011-2012 |
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. |
| global polio eradication | 0.602762 |
| paralysis onset | 0.512338 |
| subnational AFP surveillance | 0.675338 |
| environmental surveillance | 0.657802 |
| sewage samples | 0.502276 |
| polio eradication | 0.653471 |
| stool specimens | 0.554701 |
| subnational areas | 0.54474 |
| AFP sources | 0.505747 |
| optimal surveillance performance | 0.512497 |
| Polio Laboratory Network | 0.518144 |
| surveillance performance indicators | 0.633905 |
| critical surveillance gaps | 0.507672 |
| AFP cases | 0.698642 |
| AFP surveillance indicators | 0.636506 |
| WPV-positive AFP cases | 0.553496 |
| meeting surveillance indicators | 0.525194 |
| monitor AFP surveillance | 0.627659 |
| PV transmission | 0.654989 |
| AFP surveillance performance | 0.766121 |
| surveillance quality exist | 0.507045 |
| World Health | 0.538475 |
| PV circulation | 0.668891 |
| nonpolio AFP cases | 0.540657 |
|
| Nigeria | 0.504705 |
| PV isolation | 0.510803 |
| Polio Eradication Initiative | 0.558163 |
| World Health Organization | 0.502079 |
| surveillance quality indicators | 0.650464 |
| national AFP surveillance | 0.594162 |
| environmental surveillance activities | 0.508106 |
| stool specimen | 0.502478 |
| AFP surveillance quality | 0.849045 |
| Standardized surveillance indicators | 0.548452 |
| countries | 0.657386 |
| World Health Assembly | 0.501458 |
| acute flaccid paralysis | 0.552738 |
| AFP surveillance findings | 0.629929 |
| afp surveillance | 0.967084 |
| subnational surveillance performance | 0.534982 |
| WPV cases | 0.506522 |
| undetected PV transmission | 0.523645 |
| surveillance meeting performance | 0.51741 |
| Global Polio Laboratory | 0.518477 |
| WPV transmission | 0.712913 |
| AFP performance indicators | 0.562249 |
| specimen collection | 0.508575 |
|
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Centers for Disease Control and Prevention |
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Vital Signs: Seat Belt Use Among Long-Haul Truck Drivers -United States, 2010 |
On March 3, 2015 this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| logistic regression analysis | 0.630632 |
| nonfatal truck crashes | 0.561054 |
| speed limit | 0.557662 |
| United States | 0.600726 |
| primary seat belt | 0.635329 |
| vehicle crash fatalities | 0.566919 |
| comfortable seat belt | 0.625351 |
| motor vehicle crash | 0.630861 |
| motor vehicle | 0.665749 |
| long-haul truck drivers | 0.623243 |
| Transportation recordable crashes | 0.551293 |
| seat belt.** | 0.571757 |
| eligible drivers | 0.557926 |
| truck crashes | 0.601232 |
| primary belt law | 0.594626 |
| truck drivers | 0.70642 |
| LHTDs | 0.592638 |
| federal regulations | 0.556799 |
| seat belt nonuse | 0.680082 |
| seat belt.¶¶ Findings | 0.580998 |
| large trucks | 0.570928 |
| logistic regression | 0.662926 |
| belt positioning | 0.564256 |
| truck stops | 0.547072 |
|
| risk factors | 0.655165 |
| Primary state belt | 0.597568 |
| safety programs | 0.590586 |
| comprehensive safety programs | 0.568054 |
| seat belt systems | 0.698567 |
| body mass index | 0.597446 |
| seat belt laws | 0.665959 |
| motor vehicle safety | 0.547489 |
| female truck drivers | 0.559836 |
| fatal large-truck crashes | 0.546798 |
| belt design | 0.566153 |
| truck driver safety | 0.577503 |
| seat belt | 0.945925 |
| enforcement seat belt | 0.68094 |
| primary enforcement seat | 0.636303 |
| observed seat belt | 0.629434 |
| anthropometric data | 0.557183 |
| survey | 0.556749 |
| primary enforcement belt | 0.58606 |
| motor vehicle crashes | 0.606716 |
| seat belt law | 0.646155 |
| tractor-trailer truck drivers | 0.567372 |
| truck stop selection | 0.54924 |
|
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Centers for Disease Control and Prevention |
Html |
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Disinsection |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| disinsection | 0.435046 |
| effective approach | 0.609406 |
| CDC | 0.521081 |
| air conditioning | 0.65635 |
| public health interventions | 0.804648 |
| primary focus | 0.606097 |
| Zika virus | 0.781088 |
| areas | 0.438387 |
| commercial passenger aircraft | 0.800405 |
| travelers | 0.459336 |
|
| local transmission | 0.604107 |
| infected mosquito | 0.9685 |
| ships | 0.443115 |
| bite | 0.466058 |
| airplane | 0.458223 |
| relatively brief period | 0.872414 |
| potential exposure | 0.657477 |
| risk | 0.465314 |
| long distances | 0.633739 |
|
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| 16241 |
Centers for Disease Control and Prevention |
Html |
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CDC Grand Rounds: Family History and Genomics as Tools forCancer Prevention and Control | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| risk assessment | 0.630306 |
| triple negative breast | 0.586343 |
| health care provider | 0.648276 |
| family cancer history | 0.621535 |
| Human Services | 0.592182 |
| Cancer Genomics Program | 0.89218 |
| public health genomics | 0.674737 |
| primary care providers | 0.591374 |
| hereditary cancer syndromes | 0.653663 |
| cancer genetic service | 0.586601 |
| colorectal cancer screening | 0.58548 |
| health care providers | 0.721106 |
| Preventive Services Task | 0.668537 |
| hereditary cancer syndrome | 0.614378 |
| cancer risk reduction | 0.611113 |
| cancer genetic literacy | 0.584241 |
| colorectal cancer | 0.685513 |
| population health | 0.592979 |
| ovarian cancer | 0.759834 |
| cancer risk assessment | 0.596687 |
| negative breast cancer | 0.654607 |
| family health history | 0.787411 |
| state public health | 0.585595 |
| U.S. Preventive Services | 0.587663 |
| cancer prevention | 0.581474 |
|
| Public health initiatives | 0.633795 |
| health history applications | 0.609694 |
| ovarian health basics | 0.569225 |
| ovarian cancers | 0.57438 |
| breast cancer susceptibility | 0.61028 |
| Michigan Cancer Genomics | 0.843911 |
| genetic counseling | 0.952729 |
| cancer genomics activities | 0.618445 |
| public health professionals | 0.650549 |
| public health | 0.990146 |
| health care | 0.762889 |
| Lynch syndrome | 0.926295 |
| Bright Pink | 0.575511 |
| Health Cancer Genomics | 0.678197 |
| colorectal cancer cases | 0.572173 |
| breast cancer | 0.745933 |
| public health programs | 0.574505 |
| Services Task Force | 0.67161 |
| hereditary cancers | 0.575437 |
| family history | 0.779637 |
| genetic testing | 0.767315 |
| et al | 0.584913 |
| health insurance providers | 0.569549 |
| ovarian cancer syndrome | 0.662555 |
|
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