| 650 |
Centers for Disease Control and Prevention |
Html |
en |
Secondhand Smoke - Smoking & Tobacco Use |
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| Secondhand Smoke Rules | 0.537184 |
| North Carolina | 0.337514 |
| Smoke-Free Home Rules—United | 0.555605 |
| Private Sector Worksites | 0.493667 |
| Smoke-Free Ordinance—City | 0.461605 |
| Local Smoke-Free Laws | 0.595047 |
| Smoking Ban—New York | 0.54861 |
| World No Tobacco | 0.468944 |
| Reduced Hospitalizations | 0.364383 |
| Workplaces—United States | 0.369615 |
| State-Specific Secondhand Smoke | 0.597288 |
| Reduced Secondhand Smoke | 0.558572 |
| Secondhand Smoke | 0.970093 |
| Nonsmokers | 0.232872 |
| Preemptive State Smoke-Free | 0.56949 |
| Smoke-Free Laws—50 Largest | 0.633628 |
| State Smoke-Free Laws | 0.6197 |
| Bars—United States | 0.500736 |
| Secondhand Smoke Exposure | 0.801033 |
| State-Specific Prevalence | 0.36492 |
| Vital Signs | 0.346666 |
| State Smoking Restrictions | 0.776183 |
| email address | 0.367081 |
| Laws United States | 0.486158 |
| Current Cigarette Smoking | 0.787493 |
|
| Bars United States | 0.4719 |
| State Preemption | 0.369571 |
| Implementation | 0.247624 |
| Large-Hub Airports—United States | 0.523879 |
| Secondhand Smoke Exposure—United | 0.565258 |
| Tobacco Day—May | 0.468803 |
| Adults—United States | 0.388226 |
| Smoking Areas—United States | 0.659942 |
| Restaurants—United States | 0.390337 |
| Large—Hub Airports | 0.363204 |
| Disparities | 0.230689 |
| Private Work Sites | 0.472949 |
| Secondhand Smoke—United States | 0.588786 |
| email updates | 0.367492 |
| Health Department Smoking | 0.541774 |
| Designated | 0.227432 |
| No. | 0.764574 |
| Acute Myocardial Infarction | 0.480826 |
| State–Specific Prevalence | 0.345642 |
| Vol. | 0.765015 |
| U.S. Cities | 0.364329 |
| Indoor Air Quality | 0.505617 |
| Private-Sector Worksites | 0.413678 |
| Government Work Sites | 0.474382 |
|
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| 1115 |
Centers for Disease Control and Prevention |
Html |
en |
Autism: New Training for HealthProfessionals | CDC Features |
April is Autism Awareness Month. Learn about CDC's new training to help health practitioners identify autism and provide quality care. |
| real-life scenarios | 0.423976 |
| hearing test | 0.440306 |
| CDC’s training | 0.53495 |
| appropriate alternatives | 0.43356 |
| Applied Behavior Analysis | 0.528076 |
| following topics | 0.422653 |
| ACT CE course | 0.78183 |
| early services | 0.435963 |
| Act Early. | 0.637282 |
| comprehensive teaching tool | 0.542942 |
| instructor-support materials | 0.432578 |
| regular basis | 0.427073 |
| case-based format | 0.437248 |
| Developmental Behavioral Pediatrician | 0.624675 |
| early care | 0.466581 |
| CNE credits | 0.441268 |
| early warning signs | 0.703584 |
| autism spectrum disorders | 0.610184 |
| ACT in-classroom training | 0.606982 |
| autism spectrum disorder | 0.617782 |
| hearing problems | 0.440183 |
| online continuing education | 0.550797 |
| in-classroom training | 0.678973 |
| developmental disabilities | 0.438904 |
|
| solid foundation | 0.43172 |
| Dr. Georgina Peacock | 0.559145 |
| ACT curriculum | 0.562075 |
| appropriate action | 0.438995 |
| ABA Therapy | 0.431732 |
| pediatric trainees | 0.445355 |
| self-study ACT CE | 0.799434 |
| quality care | 0.468755 |
| early identification | 0.43638 |
| gut feeling | 0.620022 |
| downloadable curriculum | 0.44289 |
| learner participation | 0.429958 |
| resident training programs | 0.567665 |
| Western Reserve University | 0.534711 |
| free resources | 0.519671 |
| primary care practitioners | 0.785357 |
| developmental-behavioral pediatrics training | 0.576711 |
| right track | 0.438857 |
| developmental delay | 0.4445 |
| Developmental/Behavioral Pediatrician | 0.497519 |
| Assistant Professor | 0.425283 |
| Autism Case Training | 0.985892 |
| early developmental milestones | 0.565723 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Radiation Emergencies - Information for Public Health Professionals |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| CRC. Continuing education | 0.461043 |
| NEW | 0.2239 |
| public health planners | 0.482299 |
| CDC | 0.230954 |
| functions | 0.22513 |
| professionals | 0.250075 |
| vCRC | 0.223932 |
| capacity | 0.227056 |
| copies | 0.225832 |
| medical response | 0.336209 |
| TTY | 0.241881 |
| tribal public health | 0.492991 |
| state | 0.224701 |
| credit | 0.223097 |
| public health | 0.901041 |
| crc operations | 0.48433 |
| addition | 0.225707 |
| community reception center | 0.713781 |
|
| radiation emergencies | 0.5306 |
| overview | 0.238943 |
| orientation | 0.228934 |
| product | 0.223019 |
| staff | 0.223436 |
| volunteers | 0.223405 |
| Virtual Community Reception | 0.482807 |
| important role | 0.362601 |
| traditional public health | 0.499608 |
| public health personnel | 0.59409 |
| following resources | 0.349549 |
| radiation emergency | 0.398179 |
| training video | 0.333143 |
| plans | 0.224543 |
| nuclear/radiological incident | 0.338764 |
| response partners | 0.329573 |
| Key responsibilities | 0.361342 |
| training program | 0.341466 |
|
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| 7190 |
Centers for Disease Control and Prevention |
Html |
null |
Results from the 2010 NSDUH: Summary of National Findings, SAMHSA, CBHSQ |
Results from the 2010 NSDUH: Summary of National Findings, Substance Abuse and Mental Health Reports from SAMHSA's Center for Behavioral Health Statistics and Quality |
|
|
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| 9508 |
Centers for Disease Control and Prevention |
Html |
en |
Food Safety Epidemiology Capacity in State Health Departments — United States, 2010 |
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. |
| foodborne diseases | 0.590391 |
| adequate epidemiology capacity | 0.541272 |
| local foodborne disease | 0.588332 |
| foodborne disease programs | 0.552552 |
| foodborne disease epidemiology | 0.708588 |
| enteric illness | 0.530015 |
| epidemiology capacity assessment | 0.630942 |
| state health departments | 0.517938 |
| state | 0.571348 |
| current epidemiology capacity | 0.533386 |
| core capacity | 0.498652 |
| foodborne epidemiologists | 0.548094 |
| foodborne disease outbreaks | 0.663665 |
| foodborne disease outbreak | 0.632411 |
| program capacity | 0.53014 |
| epidemiology capacity | 0.64337 |
| Matthew L. Boulton | 0.503674 |
| epidemiology degree | 0.507328 |
| Foodborne Outbreak Response | 0.55844 |
| Foodborne Outbreak Reporting | 0.567651 |
| Territorial Epidemiologists | 0.511995 |
| foodborne disease investigations | 0.550284 |
| Disease Outbreak Response | 0.522853 |
| foodborne outbreaks | 0.584701 |
| United States | 0.498908 |
|
| overall foodborne disease | 0.541787 |
| food safety epidemiology | 0.600499 |
| states | 0.749896 |
| foodborne pathogens | 0.54787 |
| formal epidemiology training | 0.509335 |
| lead foodborne disease | 0.57448 |
| safety epidemiology capacity | 0.631646 |
| national epidemiology workforce | 0.501015 |
| local health departments | 0.564771 |
| foodborne disease epidemiologists | 0.659594 |
| public health | 0.520085 |
| E. coli | 0.504749 |
| national foodborne disease | 0.555085 |
| foodborne investigations | 0.515529 |
| national food safety | 0.51739 |
| foodborne outbreak | 0.592402 |
| adequate epidemiology expertise | 0.609318 |
| foodborne diseases program | 0.539708 |
| foodborne disease | 0.903486 |
| food safety capacity | 0.501788 |
| local level | 0.51107 |
| disease epidemiology capacity | 0.582405 |
| foodborne safety staff | 0.653902 |
| foodborne outbreak investigations | 0.562615 |
|
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| 9544 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013: 13_0120 |
Volumen 10 — el 05 de septiembre de 2013. |
| Elizabeth Dodson | 0.325662 |
| Aushra Shatchkute | 0.324507 |
| Elizabeth Baker | 0.324416 |
| An Evaluation | 0.323198 |
| Gunter Diem | 0.328623 |
| internacionales wesley s | 0.340623 |
| Jacobs JA | 0.323917 |
| Shannon M | 0.323774 |
| International Practitioners | 0.323295 |
| Julie A | 0.323346 |
| Gibbert WS | 0.323061 |
|
| Dodson E | 0.323236 |
| Wayne Giles | 0.323108 |
| Diem G | 0.324754 |
| salud pública | 0.954592 |
| profesionales médicos | 0.32374 |
| Keating SM | 0.32511 |
| Kathleen N | 0.323447 |
| Vilius Grabauskas | 0.323298 |
| Chronic Dis | 0.324658 |
| Impact Among US | 0.340242 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Menu-Labeling Usage and Its Association with Diet and Exercise: 2011 BRFSS Sugar-Sweetened Beverage and Menu Labeling Module - CDC |
The primary objective of our study was to investigate the association between menu-labeling usage and healthy behaviors pertaining to diet (consumption of fruits, vegetables, sodas, and sugar-sweetened beverages) and exercise. |
| North Texas Health | 0.48512 |
| weekly aerobic exercise | 0.481881 |
| Multivariable logistic regression | 0.500311 |
| Risk Factor Surveillance | 0.509227 |
| chain restaurants | 0.479303 |
| obesity prevention programs | 0.506552 |
| Texas Health Science | 0.486058 |
| Menu Labeling module | 0.601985 |
| actual calorie consumption | 0.479885 |
| logistic regression | 0.518765 |
| results | 0.461389 |
| Sugar Sweetened Beverage | 0.470438 |
| vegetable consumption information | 0.469804 |
| Behav Nutr Phys | 0.544225 |
| Behavioral Risk Factor | 0.509305 |
| certain healthy behaviors | 0.467568 |
| study | 0.479095 |
| aerobic exercise guidelines | 0.639311 |
| healthy behaviors | 0.621299 |
| calorie intake | 0.531559 |
| fast food | 0.47986 |
| United States | 0.464511 |
| fruit | 0.466797 |
| soda consumption | 0.473832 |
|
| vegetables | 0.469127 |
| states | 0.471085 |
| major public health | 0.46327 |
| Sugar Sweetened Beverages | 0.465029 |
| fruits | 0.495156 |
| Int J Behav | 0.476109 |
| Nutr Phys Act | 0.542905 |
| sugar-sweetened beverages | 0.489435 |
| annual health care | 0.459764 |
| sugar-sweetened beverage consumption | 0.515714 |
| beverage consumption | 0.529289 |
| calorie information | 0.502147 |
| daily aerobic exercise | 0.470637 |
| menu items | 0.473602 |
| healthier food choices | 0.507344 |
| annual household income | 0.490826 |
| menu-labeling usage | 0.860788 |
| primary objective | 0.460754 |
| soda | 0.507905 |
| influence healthier food | 0.507381 |
| people | 0.513356 |
| Health Science Center | 0.486996 |
| menu-labeling users | 0.488125 |
| menu labeling | 0.998606 |
|
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Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom | CDC Advisory | CDC Telebriefing: New Vital Signs Report - How much alcohol is too much?? |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| media availability | 0.591072 |
| Non-Media | 0.490159 |
| United States | 0.637966 |
| adults | 0.43996 |
| M.D. | 0.435803 |
| briefing | 0.452025 |
| brief counseling | 0.618028 |
| Noon ET | 0.640387 |
| transcript | 0.493653 |
| PASSCODE | 0.483276 |
| M.P.H | 0.474124 |
| Tuesday | 0.443421 |
| press | 0.458973 |
|
| behavior | 0.440209 |
| Important Instructions | 0.612729 |
| CDC Media | 0.716879 |
| question | 0.539561 |
| health service | 0.617396 |
| CDC Director Tom | 0.919461 |
| alcoholics | 0.449768 |
| touchtone phone | 0.635965 |
| latest findings | 0.65266 |
| alcohol screening | 0.643392 |
| Frieden | 0.479044 |
| time | 0.434745 |
|
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Centers for Disease Control and Prevention |
Html |
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Global Health - Global Health Security - Why It Matters |
null |
| safer environments | 0.431697 |
| infectious disease threats | 0.676905 |
| fewer failed states | 0.537095 |
| cross-cutting global health | 0.600649 |
| viable trading partners | 0.528854 |
| familiar microbes | 0.439372 |
| public health crises | 0.565312 |
| GHS initiative | 0.44516 |
| health systems | 0.477094 |
| World Health Organization | 0.600919 |
| real-time disease tracking | 0.545445 |
| Healthier countries | 0.4335 |
| laboratory accident | 0.440934 |
| Pandemic influenza | 0.438472 |
| new microbes | 0.447739 |
| medical product supply | 0.576548 |
| accurate data sharing | 0.521105 |
| security capacity | 0.440656 |
| Health Security agenda | 0.592839 |
| highest levels | 0.428796 |
| available antibiotics | 0.428737 |
| dangerous new threats | 0.635041 |
| greater global health | 0.621971 |
| International Health Regulations | 0.597796 |
| drug resistance | 0.429359 |
|
| drug-resistant illnesses | 0.4583 |
| resistant germs | 0.442395 |
| global health security | 0.958429 |
| global economy | 0.442795 |
| new global solutions | 0.588311 |
| economic burden worldwide | 0.523601 |
| emergency operations centers | 0.525738 |
| U.S. hospitals | 0.432928 |
| Pandemic disease threats | 0.654192 |
| member state | 0.43605 |
| stable economies | 0.429705 |
| disease threats | 0.841062 |
| especially heavy toll | 0.519145 |
| security activities | 0.431745 |
| better lab systems | 0.530218 |
| global disease threats | 0.713932 |
| global health programs—like | 0.591618 |
| child health | 0.461762 |
| nationwide surveillance systems | 0.522906 |
| national economies | 0.434086 |
| member states | 0.43929 |
| respiratory syndrome coronavirus | 0.584188 |
| avoidable epidemics | 0.448847 |
| Substantial investments | 0.430812 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Safe and Healthy Travel to an International Mass Gathering | CDC Features |
International events draw huge crowds and come with unique risks to travelers. Whether they are planned years in advance (Olympics) or happen more spontaneously (Nelson Mandela’s funeral), mass gatherings are associated with crowding at venues, poor hygiene from temporary food and sanitation facilities, and challenging security situations. The risk of infectious diseases increases because of crowded conditions and the influx of attendees from around the world. |
| large number | 0.559874 |
| CDC’s Travelers | 0.583778 |
| CDC guidance | 0.576705 |
| financial difficulties | 0.542331 |
| medical history | 0.541695 |
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| adequate time | 0.560154 |
| Zika prevention page | 0.713039 |
| pregnant women | 0.587439 |
| Nelson Mandela | 0.575699 |
| local resources | 0.571424 |
| pregnant partners | 0.579815 |
| time frame | 0.55298 |
| infectious diseases increases | 0.711889 |
| adequate vaccinations | 0.554632 |
| travel warnings | 0.571457 |
| temporary food | 0.567915 |
| medical conditions | 0.539566 |
| travel alerts | 0.569345 |
| primary care provider | 0.660914 |
| crowd crush | 0.563529 |
| Zika Travel Information | 0.742542 |
| international mass gathering | 0.675411 |
| travel plans | 0.697076 |
|
| sex partners | 0.565671 |
| specific destinations | 0.666555 |
| customized recommendations | 0.538982 |
| planned activities | 0.543261 |
| firm footing | 0.550136 |
| CDC recommendations | 0.580059 |
| security situations | 0.56938 |
| travel medicine provider | 0.911154 |
| mass gatherings | 0.571448 |
| mass gathering | 0.706567 |
| birth defects | 0.555135 |
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| unique risks | 0.569584 |
| travel notices | 0.562916 |
| specific location | 0.565091 |
| infected person | 0.56058 |
| safe journey | 0.546386 |
| huge crowds | 0.575908 |
| Traveler Enrollment Program | 0.661986 |
| poor hygiene | 0.562045 |
| specific purpose | 0.564968 |
| sanitation facilities | 0.574036 |
| International events | 0.573091 |
| departure date | 0.556044 |
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