| 4588 |
Centers for Disease Control and Prevention |
Html |
en |
FluAid Special Edition: Questions & Answers |
null |
| CDC Web site | 0.391019 |
| data | 0.370742 |
| public health interventions | 0.398483 |
| pandemic | 0.517532 |
| health outcomes | 0.386549 |
| outpatient visits | 0.546192 |
| Disease Control | 0.354785 |
| similar age | 0.351749 |
| HHS Pandemic Influenza | 0.51173 |
| estimates | 0.442334 |
| high-risk conditions | 0.350514 |
| chronic medical conditions | 0.448951 |
| specific age groups | 0.383941 |
| Health Interview Survey | 0.391016 |
| age groups | 0.417239 |
| software programs | 0.353476 |
| chronic medical conditions* | 0.387472 |
| probable total number | 0.41118 |
| FluAid Special Edition—that | 0.416403 |
| H1N1 pandemic | 0.416329 |
| 2009 pandemic | 0.40194 |
| high risk | 0.384205 |
| PM ET | 0.35522 |
| 1968 pandemic | 0.413115 |
|
| 1968-type pandemic | 0.412563 |
| FluAid Special Edition | 0.926805 |
| public health planners | 0.398622 |
| age groupings | 0.348868 |
| influenza pandemic plan | 0.50985 |
| probable range | 0.360731 |
| severe attack rate | 0.374728 |
| pre-existing medical conditions | 0.397316 |
| health outcome rates | 0.379441 |
| potential impact | 0.541541 |
| state-specific plan | 0.35574 |
| probable impact | 0.385816 |
| influenza season | 0.471275 |
| attack rate | 0.384777 |
| cases | 0.356231 |
| H1N1 influenza | 0.391806 |
| H1N1 flu pandemic | 0.512728 |
| 1918-type pandemic | 0.411779 |
| http://www.cdc.gov/flu/tools/fluaid/) contains | 0.351288 |
| pre-existing chronic | 0.390474 |
| most-likely number | 0.349244 |
| various gross attack | 0.37983 |
| probable number | 0.399552 |
| H1N1 flu outbreak | 0.394702 |
|
CLICK HERE |
| 7021 |
Centers for Disease Control and Prevention |
Html |
en |
Section 914 of the Federal Food, Drug, and Cosmetic Act -Jurisdiction of and Coordination with the Federal Trade Commission |
null |
| chapter | 0.545731 |
| practice | 0.517569 |
| Secretary | 0.541451 |
| Health Education Act | 0.680728 |
| Enforcement. Any advertising | 0.599591 |
| jurisdiction | 0.637515 |
| Tobacco Control Act | 0.705354 |
| section | 0.612266 |
| distribution | 0.518093 |
| deceptive act | 0.619735 |
| Federal Trade Commission | 0.954314 |
| Trade Commission Act | 0.683614 |
| Comprehensive Smokeless Tobacco | 0.710181 |
| Coordination. | 0.51713 |
| Advertising Act | 0.597502 |
| Cosmetic Act | 0.704281 |
| Drug | 0.54021 |
|
| requirements | 0.530866 |
| laws | 0.518196 |
| Coordination | 0.551418 |
| Federal Cigarette Labeling | 0.684282 |
| label statements | 0.597641 |
| Federal Food | 0.700553 |
| respect | 0.542039 |
| Chairman | 0.5455 |
| tobacco products | 0.621497 |
| sale | 0.518117 |
| provision | 0.519519 |
| violation | 0.523535 |
| regulations | 0.517749 |
| authority | 0.517131 |
| General | 0.520061 |
| deceptive acts | 0.609422 |
| cigarettes | 0.519117 |
|
CLICK HERE |
| 7257 |
Centers for Disease Control and Prevention |
Html |
en |
Introduction |
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. |
| timely continuous monitoring | 0.252596 |
| new office | 0.234137 |
| Human Services | 0.246297 |
| Risk Factor Surveillance | 0.332063 |
| CDC/ATSDR employee organization | 0.263664 |
| health surveillance scientists | 0.366766 |
| MMWR HTML versions | 0.250626 |
| U.S. Department | 0.246321 |
| impending mass adoption | 0.254548 |
| public health departments | 0.294989 |
| electronic PDF version | 0.251883 |
| surveillance capacities | 0.319891 |
| H1N1 pandemic influenza | 0.251703 |
| public health surveillance | 0.926043 |
| meeting | 0.242049 |
| Bacillus anthracis spores | 0.255423 |
| population health | 0.2482 |
| cross-cutting surveillance systems | 0.334921 |
| new challenges | 0.234337 |
| program office | 0.300016 |
| MMWR supplement | 0.260655 |
| original paper copy | 0.247162 |
| health surveillance practice | 0.390214 |
| CDC/ATSDR scientists | 0.266301 |
|
| Surveillance Science Advisory | 0.340404 |
| surveillance specialists | 0.313727 |
| United States | 0.259832 |
| original MMWR paper | 0.252803 |
| multiple CDC/ATSDR centers | 0.260437 |
| planning committee members | 0.252374 |
| CDC/ATSDR leadership | 0.240464 |
| public health community | 0.333735 |
| CDC/ATSDR reorganization | 0.238482 |
| public health informatics | 0.293125 |
| 21st century | 0.259398 |
| urgent public health | 0.297587 |
| health departments | 0.29542 |
| Informatics Program Office | 0.261275 |
| local health departments | 0.274827 |
| health care | 0.249865 |
| CDC/ATSDR nexus | 0.237205 |
| Notifiable Diseases Surveillance | 0.333276 |
| CDC/ATSDR surveillance systems | 0.344111 |
| electronic health records | 0.354029 |
| Health Surveillance Program | 0.361787 |
| surveillance science | 0.347381 |
| meeting deliberations | 0.235177 |
| health risks | 0.254395 |
|
CLICK HERE |
| 7594 |
Centers for Disease Control and Prevention |
Html |
en |
TB Fact Sheets - Testing for Tuberculosis (TB) |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| latent TB infection | 0.729206 |
| previous TST | 0.238446 |
| United States | 0.246865 |
| TST work | 0.214627 |
| health care provider | 0.328564 |
| TB disease | 0.82879 |
| positive TST result | 0.238055 |
| positive tst | 0.275554 |
| TB infection testing | 0.340006 |
| BCG shot | 0.202863 |
| TB bacteria | 0.92892 |
| health care | 0.410242 |
| IGRA test instructions | 0.207942 |
| TB test | 0.305704 |
|
| health care worker | 0.338065 |
| TB vaccine | 0.321853 |
| positive igra | 0.203609 |
| people | 0.239132 |
| tuberculin skin test | 0.216251 |
| Negative TST | 0.205496 |
| IGRA | 0.25405 |
| additional tests | 0.202877 |
| TST | 0.383496 |
| positive IGRA result | 0.202185 |
| person | 0.38174 |
| TB coughs | 0.345678 |
| TB blood tests | 0.358591 |
|
CLICK HERE |
| 8144 |
Centers for Disease Control and Prevention |
Html |
en |
Innovative policy to prevent mother-to-child transmission of HIV shows positive impact |
[Title] |
| new treatment option | 0.690835 |
| HIV transmission rates | 0.678127 |
| the12-month ART retention | 0.607201 |
| Mortality Weekly Report | 0.61758 |
| health threats | 0.562007 |
| Malawi’s National | 0.612109 |
| Ambassador Eric Goosby | 0.604423 |
| United States government | 0.599834 |
| limited equipment | 0.558316 |
| percent | 0.607548 |
| Option B+ implementation | 0.72217 |
| PEPFAR implementing agency | 0.602054 |
| Malawi Ministry | 0.614712 |
| global health spectrum | 0.606493 |
| sustainable public health | 0.606343 |
| AIDS Relief | 0.602291 |
| percent increase | 0.585201 |
| Malawi | 0.708604 |
| public health science | 0.6067 |
| aids-free generation | 0.608737 |
| antiretroviral medications | 0.570147 |
| lifelong ART | 0.664151 |
| life-saving antiretroviral treatment | 0.643346 |
| Emergency Plan | 0.60548 |
|
| New HIV Infections | 0.705932 |
| HIV test result | 0.652483 |
| Option B+ | 0.962715 |
| breastfeeding women | 0.619996 |
| strong national programs | 0.590738 |
| CDC Director Tom | 0.611797 |
| health | 0.616699 |
| laboratory tests | 0.558415 |
| HIV treatment | 0.617024 |
| mother-to-child HIV transmission | 0.74874 |
| lifelong antiretroviral treatment | 0.648507 |
| recent U.S. President | 0.606386 |
| PEPFAR Blueprint | 0.563505 |
| CDC’s Morbidity | 0.572452 |
| future pregnancies | 0.559907 |
| U.S. Government initiative | 0.593143 |
| Joint United Nations | 0.596329 |
| ART reduces | 0.570391 |
| New approach | 0.566096 |
| Malawi Halima Daud | 0.668839 |
| U.S. Global AIDS | 0.615461 |
| life-saving medications | 0.55944 |
| Global Plan | 0.621032 |
|
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| 8473 |
Centers for Disease Control and Prevention |
Html |
en |
Hispanics/Latinos - For Specific Groups - Tips From Former Smokers - Smoking & Tobacco Use |
Smoking-related statistics, information, and quitting resources specific to the Hispanic/Latino community. Part of the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Medicaid enrollees | 0.645047 |
| health plans | 0.603174 |
| Quit Guide | 0.688964 |
| exfumadores | 0.435735 |
| lung cancer | 0.612266 |
| —the | 0.454389 |
| teeth | 0.628406 |
| Latino heritage | 0.654662 |
| area | 0.465328 |
| gums | 0.515887 |
| Mariano | 0.510838 |
| quit plan | 0.684736 |
| Florida | 0.439217 |
| Beatrice | 0.508382 |
| State Medicaid programs | 0.775578 |
| Illinois | 0.440362 |
| Texas | 0.438435 |
| cigarettes | 0.444987 |
| open heart surgery | 0.80263 |
| Quitline coaches | 0.60563 |
| page | 0.435395 |
| women | 0.44301 |
| heart attack | 0.613181 |
| death | 0.443271 |
| United States | 0.647389 |
|
| Felicita | 0.513865 |
| face-to-face counseling sessions | 0.790663 |
| adults | 0.443432 |
| Rose | 0.465655 |
| dejar | 0.436012 |
| life | 0.438777 |
| quit-smoking treatments | 0.827539 |
| additional Quitting Resources | 0.810377 |
| heart disease | 0.649689 |
| causes | 0.443294 |
| coverage | 0.436047 |
| New York | 0.63487 |
| Consejos | 0.435755 |
| chance | 0.436085 |
| Medicare | 0.437362 |
| brain | 0.437328 |
| Hispanics/Latinos | 0.479088 |
| Real Stories section | 0.78949 |
| Cigarette smoking increases | 0.982683 |
| ¡Estoy listo para | 0.818198 |
| Tips Spanish site | 0.774089 |
| Tips participants | 0.604466 |
| risk | 0.443425 |
| family | 0.440878 |
|
CLICK HERE |
| 8905 |
Centers for Disease Control and Prevention |
Html |
en |
Haiti close to eliminating lymphatic filariasis | CDC Online Newsroom | Press Release |
Haiti close to eliminating lymphatic filariasis |
| Dr. Beau | 0.49503 |
| difficult times | 0.483326 |
| Valery | 0.339753 |
| country. | 0.335652 |
| treatment regimen | 0.5097 |
| extraordinary accomplishment | 0.513875 |
| limitations | 0.336037 |
| mosquitoes | 0.34309 |
| World Health Organization | 0.681522 |
| irreversible disfigurement | 0.536349 |
| CDC Director Tom | 0.672833 |
| public health partners | 0.68158 |
| elephantiasis | 0.356434 |
| countries | 0.335006 |
| lymphatic filariasis | 0.966551 |
| Haitians | 0.428098 |
| public health experts | 0.724695 |
| community treatment program | 0.663681 |
| complexities | 0.341775 |
| debilitating disease | 0.497912 |
| personal sacrifice | 0.477799 |
| HUMAN SERVICES | 0.478003 |
| millions | 0.386953 |
| earthquake. Adequate community | 0.665744 |
| Haiti | 0.784961 |
|
| Americas | 0.332854 |
| filarial worm parasites | 0.706209 |
| chronic pain | 0.488729 |
| camps. CDC | 0.529065 |
| conjunction | 0.332673 |
| U.S. DEPARTMENT | 0.478285 |
| M.P.H | 0.34653 |
| tent communities | 0.489233 |
| earthquake relief funds | 0.643406 |
| public health | 0.859958 |
| LF elimination efforts | 0.819727 |
| cents | 0.33963 |
| urban areas | 0.475695 |
| Rochars | 0.351285 |
| highest rates | 0.52323 |
| people | 0.391188 |
| effective medicines | 0.483739 |
| health best buy | 0.659253 |
| Frieden | 0.349757 |
| Port-au-Prince | 0.3539 |
| step | 0.335804 |
| Madsen E. Beau | 0.663495 |
| parasitic disease | 0.526302 |
| extraordinary measures | 0.488388 |
|
CLICK HERE |
| 10594 |
Centers for Disease Control and Prevention |
Html |
en |
Bipolar Disorder - Mental Illness - Mental Health Basics - Mental Health |
null |
| treatment | 0.43646 |
| tendency | 0.454477 |
| high potential | 0.605488 |
| sleeplessness | 0.476836 |
| psychotherapy | 0.444267 |
| manic-depressive disorder | 0.632149 |
| navigation Skip | 0.800489 |
| bipolar disorder | 0.756761 |
| self-importance | 0.477083 |
| Andreasen | 0.46673 |
| http://www.nimh.nih.gov/health/index.shtml | 0.436344 |
| medications | 0.444498 |
| mental health/mental illnesses | 0.776911 |
|
| grandiosity | 0.43783 |
| episodes | 0.49096 |
| thoughts | 0.437677 |
| major mood disorder | 0.805766 |
| list Skip | 0.797831 |
| adverse consequences.2 | 0.619004 |
| page options Skip | 0.991249 |
| speech | 0.437586 |
| activities | 0.437343 |
| exaggerated assessment | 0.635856 |
| Mania | 0.448349 |
| irritable mood | 0.660427 |
| depression | 0.488115 |
|
CLICK HERE |
| 11640 |
Centers for Disease Control and Prevention |
Html |
en |
Prevalence of Chlamydia trachomatis Genital Infection AmongPersons Aged 14-39 Years - United States, 2007-2012 |
Elizabeth Torrone, PhD1, John Papp, PhD1, Hillard Weinstock, MD1 (Author affiliations at end of text). |
| young women | 0.614738 |
| oral contraceptives | 0.524209 |
| routine screening | 0.480892 |
| sexually transmitted infection | 0.552322 |
| untreated chlamydia | 0.519263 |
| overall chlamydia prevalence | 0.684388 |
| overall chlamydia burden | 0.577457 |
| chlamydial infection | 0.887379 |
| weighted prevalence estimates | 0.602767 |
| non-Hispanic white females | 0.520357 |
| sexually active females | 0.974104 |
| Preventive Services Task | 0.535732 |
| genital chlamydial infection | 0.687919 |
| risk factors | 0.4846 |
| infected patients | 0.477739 |
| chlamydia screening rates | 0.556938 |
| Genital chlamydial infections | 0.543473 |
| sexually active female | 0.539543 |
| genital C. trachomatis | 0.480877 |
| C. trachomatis | 0.519653 |
| sexually active participants | 0.593292 |
| sexually active women | 0.566822 |
| overall prevalence | 0.599895 |
| U.S. Preventive Services | 0.536229 |
|
| sex partners | 0.59478 |
| case report data | 0.517285 |
| United States | 0.558676 |
| Chlamydia trachomatis | 0.538651 |
| transmitted chlamydial infection | 0.534295 |
| non-Hispanic black females | 0.653505 |
| prevalence estimates | 0.61056 |
| prevalence | 0.854159 |
| sexually transmitted infections | 0.560718 |
| chlamydia prevalence | 0.80058 |
| multiple sex partners | 0.529821 |
| non-Hispanic blacks | 0.496863 |
| rectal chlamydial infections | 0.514349 |
| timely treatment | 0.496007 |
| non-Hispanic whites | 0.481862 |
| Prevalence ratios | 0.564587 |
| chlamydia screening | 0.664131 |
| hormonal contraceptives | 0.525713 |
| Elizabeth Torrone | 0.477431 |
| Services Task Force | 0.538988 |
| Sexually Transmitted Diseases | 0.520042 |
| active young women | 0.591918 |
| NHANES | 0.500853 |
| monitors population prevalence | 0.618075 |
|
CLICK HERE |
| 15954 |
Centers for Disease Control and Prevention |
Html |
en |
Absenteeism and Employer Costs Associated With Chronic Diseases and Health Risk Factors in the US Workforce |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| Medical Expenditure Panel | 0.900778 |
| large employer | 0.532113 |
| data | 0.56848 |
| union membership | 0.522068 |
| total missed workdays | 0.533486 |
| significantly greater absenteeism | 0.514681 |
| MarketScan | 0.748095 |
| number | 0.530806 |
| MEPS prevalence | 0.512489 |
| annual absenteeism costs | 0.557829 |
| health care claims | 0.581944 |
| Annual Total Absenteeism | 0.512138 |
| Expenditure Panel Survey | 0.757657 |
| data sources | 0.545966 |
| risk factors | 0.901619 |
| MarketScan respondents | 0.527538 |
| absenteeism | 0.724572 |
| MarketScan estimates | 0.524365 |
| condition-specific absenteeism costs | 0.539396 |
| chronic disease | 0.682784 |
| absenteeism costs | 0.707791 |
| employees | 0.525088 |
| MarketScan commercial claims | 0.53066 |
| MEPS | 0.661331 |
|
| MEPS data | 0.548195 |
| MEPS sample | 0.530801 |
| MEPS regression estimates | 0.523698 |
| excess absenteeism | 0.538277 |
| physical inactivity estimates | 0.513834 |
| MarketScan commercial encounters | 0.514016 |
| health risk factors | 0.657225 |
| excess missed workdays | 0.797268 |
| small employer | 0.518405 |
| commercial health care | 0.581949 |
| multiple risk factors | 0.531666 |
| data sets | 0.544514 |
| privately insured individuals | 0.609303 |
| absenteeism estimates | 0.540526 |
| de-identified convenience subpopulation | 0.592944 |
| chronic diseases | 0.856865 |
| Health MarketScan database | 0.542728 |
| zero-inflated Poisson regression | 0.531941 |
| care claims database | 0.531622 |
| employee absenteeism | 0.530339 |
| MarketScan sample | 0.51385 |
| MarketScan Health Risk | 0.571341 |
| MarketScan absenteeism estimate | 0.592251 |
| MEPS prevalence rates | 0.510535 |
|
CLICK HERE |