| 641 |
Centers for Disease Control and Prevention |
Html |
en |
Smoke-Free Policies Do Not Hurt the Hospitality Industry - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Apr | 0.650996 |
| Smoke-Free New York | 0.542595 |
| indoor air quality | 0.451213 |
| York State Department | 0.537877 |
| smokefree policies | 0.572763 |
| economic impact studies | 0.479949 |
| Local smokefree restaurant | 0.577725 |
| U.S. Department | 0.446041 |
| New York City | 0.916408 |
| statewide retail sales | 0.462318 |
| local smokefree law | 0.610336 |
| Smokefree Legislation | 0.475945 |
| local smokefree laws | 0.567362 |
| taxable sales revenue | 0.484876 |
| total retail sales | 0.455592 |
| restaurant sales tax | 0.509635 |
| Smoke-free Workplace Law | 0.515499 |
| American Journal | 0.643023 |
| York City Economic | 0.502281 |
| Requiring Smoke-free Restaurants | 0.499888 |
| comprehensive state | 0.452064 |
| new york state | 0.656803 |
| employment data | 0.463269 |
| statewide law | 0.449331 |
|
| Public Health Research | 0.452825 |
| restaurant sales | 0.548008 |
| smokefree ordinance | 0.509117 |
| P. Smoke-free laws | 0.506608 |
| smokefree law | 0.776963 |
| public places | 0.451988 |
| York state tobacco | 0.492613 |
| adverse economic impact | 0.500495 |
| hospitality venue revenues | 0.457342 |
| smokefree restaurant laws | 0.641905 |
| Smoke-Free Workplace Law. | 0.486127 |
| bar revenues | 0.467385 |
| restaurant employment | 0.481282 |
| Clean Indoor Air | 0.672304 |
| Health | 0.499827 |
| economic impact | 0.661576 |
| tobacco control program | 0.558312 |
| York City Department | 0.665875 |
| Smoke-free Law Associated | 0.511822 |
| Preventive Medicine | 0.569056 |
| Pueblo Smokefree Air | 0.542946 |
| state smokefree law | 0.703298 |
| economic evaluation | 0.459353 |
| tobacco control | 0.725819 |
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| 6856 |
Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0155 |
Despite evidence of the benefits of regular physical activity, many older adults are not physically active. Health professionals are challenged to replicate evidence-based programs to address low levels of physical activity among members of their communities. |
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| 8460 |
Centers for Disease Control and Prevention |
Html |
en |
Ellie's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Ellie, who asthma attacks triggered by secondhand smoke. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| secondhand smoke exposure | 0.986968 |
| asthma attack | 0.771958 |
| video | 0.522207 |
| personal identity | 0.682759 |
| bars | 0.461574 |
| mid-30 | 0.468439 |
| LGBT communities | 0.698531 |
| healthy work environment | 0.907372 |
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| smoking | 0.461338 |
| Smokers® campaign | 0.710718 |
| bartender | 0.500004 |
| lungs | 0.485429 |
| job | 0.529826 |
| sake | 0.477286 |
| Ellie | 0.870693 |
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| 8501 |
Centers for Disease Control and Prevention |
Html |
en |
Sharon's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Sharon, a former smoker who was diagnosed with throat cancer in her thirties. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| Shane | 0.276587 |
| Shawn | 0.273631 |
| stomas | 0.313291 |
| TV ad | 0.498581 |
| Smokers campaign | 0.496748 |
| commercials | 0.279259 |
| videos | 0.257602 |
| Sharon | 0.688295 |
| throat cancer | 0.907396 |
| result | 0.268827 |
|
| larynx | 0.3233 |
| loss | 0.261564 |
| condition | 0.25418 |
| young age | 0.496263 |
| smoking | 0.360008 |
| Smokers® campaign | 0.474395 |
| thirties | 0.462696 |
| CDC’s Tips | 0.787125 |
| story | 0.257339 |
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| 10141 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Tailoring Community-Based Wellness Initiatives With Latent Class Analysis - Massachusetts Community Transformation Grant Projects - CDC |
Community-based approaches to preventing chronic diseases are attractive because of their broad reach and low costs, and as such, are integral components of health care reform efforts. Implementing community-based initiatives across Massachusetts’ municipalities presents both programmatic and evaluation challenges. For effective delivery and evaluation of the interventions, establishing a community typology that groups similar municipalities provides a balanced and cost-effective approach. |
| Community Transformation Grant | 0.650404 |
| public health interventions | 0.67949 |
| classes | 0.647487 |
| public health practitioners | 0.618062 |
| small urban communities | 0.651919 |
| resident health behaviors | 0.615414 |
| latent class analysis | 0.830621 |
| diverse housing stock | 0.628002 |
| separate class solutions | 0.617995 |
| obesity-related health behaviors | 0.63089 |
| negative health outcomes | 0.615587 |
| health outcomes | 0.76453 |
| worse health outcomes | 0.635293 |
| Public Health Fund | 0.625183 |
| health care reform | 0.621506 |
| median household income | 0.691573 |
| minimum class probability | 0.679393 |
| community-based public health | 0.632986 |
| health behaviors | 0.933286 |
| class | 0.854523 |
| Massachusetts Medical School | 0.644842 |
| public health | 0.769845 |
| mental health problems | 0.612341 |
| class membership | 0.612264 |
|
| Massachusetts Community Transformation | 0.623374 |
| wellness community typology | 0.646236 |
| community health planning | 0.624473 |
| key informant interviews | 0.642565 |
| latent class model | 0.647427 |
| western Massachusetts communities | 0.619545 |
| chronic diseases | 0.706971 |
| model fit statistics | 0.669924 |
| large share | 0.64277 |
| average health outcomes | 0.619852 |
| health care costs | 0.611859 |
| municipalities | 0.700387 |
| physical activity | 0.650495 |
| community health centers | 0.640669 |
| 10-class solution | 0.636078 |
| latent classes | 0.636976 |
| lower-income rural communities | 0.615915 |
| community-based wellness initiatives | 0.708767 |
| excellent classification certainty | 0.636061 |
| retail environment | 0.729477 |
| communities | 0.718786 |
| Metropolitan Area Planning | 0.629984 |
| Area Planning Council | 0.62998 |
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| 10216 |
Centers for Disease Control and Prevention |
Html |
en |
Wildfires and At-Risk Populations'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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| 10783 |
Centers for Disease Control and Prevention |
Html |
en |
ATSDR report finds drywall imported from China in the 2000s may have affected human health | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| report estimates | 0.343375 |
| Urban Development | 0.341938 |
| findings | 0.228567 |
| Health Consultation | 0.369138 |
| Commission | 0.225168 |
| North America | 0.351333 |
| state agencies | 0.346769 |
| drywall samples | 0.661254 |
| China | 0.301949 |
| HUD | 0.234244 |
| problem drywall | 0.933922 |
| sulfur compounds | 0.401205 |
| Chinese-Manufactured Drywall | 0.710198 |
| CPSC | 0.2946 |
| Consumer Product Safety | 0.472203 |
| conclusions | 0.235682 |
|
| comparison purposes | 0.350176 |
| Exposure | 0.231365 |
| laboratory tests | 0.372701 |
| analysis | 0.226909 |
| indoor air | 0.371546 |
| u.s. department | 0.436647 |
| Possible Health Implications | 0.516518 |
| ATSDR | 0.306597 |
| Sulfur Gases Emitted | 0.566907 |
| new homes | 0.335905 |
| HUMAN SERVICES | 0.342692 |
| http://www.atsdr.cdc.gov/drywall | 0.224608 |
| modeling researchers | 0.372435 |
| small number | 0.358486 |
| support | 0.224976 |
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| 11271 |
Centers for Disease Control and Prevention |
Html |
en |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
Young Worker Safety and Health: Selected Charts on Young Worker Employment, Injuries and Illnesses: Rates of Work-related Injuries Reported by Farm Operators, 15-17 Year-Olds, United States |
| Download data | 0.276269 |
| United States | 0.678189 |
| rates | 0.25521 |
| farm operators | 0.72207 |
| Work-related Injuries Reported | 0.749833 |
| Young Worker Employment | 0.856737 |
|
| Illnesses | 0.203941 |
| Childhood Agricultural Injury | 0.427866 |
| Young Worker Safety | 0.535375 |
| work-related injuries | 0.927131 |
| Year-Olds | 0.250935 |
| Download image file | 0.426536 |
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| 12047 |
Centers for Disease Control and Prevention |
Html |
en |
You Only Have One Pair of Eyes | Contact Lenses |CDC |
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| hands | 0.341752 |
| email address | 0.668591 |
| questions | 0.337711 |
| hot tub | 0.517826 |
| year— | 0.335792 |
| tips | 0.340272 |
| caps | 0.337282 |
| healthy eyes | 0.523751 |
| glasses | 0.337863 |
| case—don’t | 0.480553 |
| clean tissue | 0.48926 |
| solution | 0.475293 |
| PPT | 0.347468 |
| Wash | 0.345237 |
| eye pain | 0.465556 |
| Rub | 0.419574 |
| MPEG | 0.338385 |
| lenses | 0.338136 |
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| red eyes | 0.486001 |
| Carry | 0.337386 |
| additional posters | 0.517938 |
| new case | 0.475472 |
| Title | 0.343138 |
| different file formats | 0.631239 |
| multiple sizes | 0.520779 |
| water | 0.374514 |
| pair | 0.40208 |
| eye doctor | 0.908329 |
| Posters page | 0.503166 |
| series | 0.342887 |
| time | 0.340916 |
| eye infections | 0.498252 |
| spit | 0.347474 |
| contacts | 0.748864 |
| blurred vision | 0.509009 |
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| 13283 |
Centers for Disease Control and Prevention |
Html |
en |
Consensus on the Development of Vaccines against NaturallyAcquired Melioidosis - Volume 21, Number 6-June 2015 - EmergingInfectious Disease journal - CDC |
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| animal models | 0.551215 |
| potential vaccine candidates | 0.497449 |
| biodefense vaccine development | 0.488648 |
| Burkholderia pseudomallei infection | 0.539 |
| potential melioidosis vaccine | 0.510797 |
| head-to-head candidate vaccine | 0.513403 |
| vaccine candidate evaluation | 0.497938 |
| National Vaccine Institute | 0.508877 |
| environmental B. pseudomallei | 0.55731 |
| diabetic mouse models | 0.542373 |
| head-to-head vaccine assessment | 0.47587 |
| diabetic mice | 0.472917 |
| vaccine candidate | 0.513961 |
| B. pseudomallei infection | 0.601831 |
| TB vaccine | 0.471524 |
| vaccine candidates | 0.660316 |
| melioidosis candidate vaccines | 0.47947 |
| NHP model | 0.484725 |
| pseudomallei subcutaneous inoculation | 0.551922 |
| head-to-head vaccine candidate | 0.510016 |
| B. pseudomallei | 0.92315 |
| Melioidosis Vaccine Development | 0.536594 |
| candidate vaccines | 0.675778 |
| Public Health England | 0.572863 |
| diabetic mouse model | 0.523782 |
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| mouse models | 0.671899 |
| pseudomallei challenge strains | 0.518829 |
| B. pseudomallei inoculation | 0.597021 |
| candidate vaccine | 0.543364 |
| Burkholderia pseudomallei strain | 0.516477 |
| Burkholderia pseudomallei elicits | 0.514889 |
| inhalational B. pseudomallei | 0.525592 |
| melioidosis vaccine evaluation | 0.494277 |
| melioidosis vaccine | 0.644712 |
| head-to-head comparison | 0.529883 |
| Burkholderia pseudomallei | 0.753283 |
| different vaccine candidates | 0.49257 |
| candidate vaccine developers | 0.517543 |
| public health | 0.617738 |
| vaccine development | 0.592362 |
| NHP models | 0.487677 |
| B. pseudomallei challenge | 0.654643 |
| United Kingdom | 0.634776 |
| virulent Burkholderia pseudomallei | 0.515805 |
| subcutaneous B. pseudomallei | 0.560195 |
| melioidosis vaccines | 0.506635 |
| vaccine | 0.717172 |
| infection vaccine development | 0.501879 |
| optimal candidate vaccines | 0.484763 |
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