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Centers for Disease Control and Prevention |
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Say "I Do" the Healthy Way | CDC Features |
Before you say 'I Do,' make health a priority. Remember to put yourself on the wedding checklist with good health and safety habits. |
| certain diseases | 0.67366 |
| healthy diet | 0.683185 |
| CDC | 0.563144 |
| mental health | 0.710803 |
| Zika virus | 0.929812 |
| free quit plan | 0.843094 |
| common problems | 0.655201 |
| areas | 0.55589 |
| health screenings | 0.699822 |
| pregnant women | 0.794989 |
| Poor sleep | 0.671132 |
| trip | 0.554612 |
| physical violence | 0.659155 |
| Intimate partner violence | 0.784551 |
| nutritional intake | 0.673481 |
| psychological aggression | 0.650196 |
| risk factors | 0.653465 |
| overall health | 0.707356 |
| long run | 0.678844 |
| pregnancy | 0.556825 |
| travelers | 0.594715 |
| honeymoon | 0.571505 |
| health problems | 0.702671 |
| insect repellent | 0.657994 |
| wedding checklist | 0.68817 |
|
| free educational materials | 0.822729 |
| health benefits | 0.711694 |
| Spanish speakers | 0.675145 |
| Sexual transmission | 0.65586 |
| Zika virus infection | 0.81408 |
| motor vehicle | 0.672082 |
| free quit coaching | 0.843431 |
| Wedding planning | 0.662124 |
| machinery-related crashes | 0.673983 |
| health provider | 0.683738 |
| heart disease | 0.67647 |
| crash diets | 0.673932 |
| severe brain defects | 0.795709 |
| Zika travel notices | 0.82322 |
| respiratory diseases | 0.67176 |
| sexual violence | 0.657292 |
| good health | 0.725616 |
| frequent hand | 0.652938 |
| health | 0.856332 |
| Cruise ship outbreaks | 0.789511 |
| bites | 0.561703 |
| physical activity | 0.831326 |
| free resources | 0.675025 |
| safety habits | 0.68925 |
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Centers for Disease Control and Prevention |
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Diabetes-related services and programs in small local public health departments. |
The objectives of this study were to describe various diabetes-related patient care and primary prevention services offered by small LHDs (those serving a population of less than 150,000) and explore factors associated with the diversity of these services. |
| diabetes prevention | 0.366144 |
| obesity prevention program | 0.304404 |
| diabetes public health | 0.358145 |
| obesity prevention programs | 0.348589 |
| large metropolitan LHDs | 0.347384 |
| diabetes-related services | 0.375006 |
| public health departments | 0.298918 |
| National Diabetes Prevention | 0.313372 |
| frequently mentioned diabetes | 0.293353 |
| state health departments | 0.316878 |
| obesity prevention | 0.428062 |
| small LHDs function | 0.309324 |
| patient care services | 0.505585 |
| public health services | 0.333613 |
| health care services | 0.303569 |
| local diabetes care | 0.392356 |
| patient care | 0.509556 |
| public health performance | 0.304259 |
| patient care service | 0.343173 |
| population | 0.30929 |
| City Health Officials | 0.320427 |
| diabetes awareness activities | 0.296979 |
| chronic disease | 0.314006 |
| state public health | 0.312256 |
| diabetes care specialists | 0.342593 |
|
| diabetes prevention program | 0.343999 |
| diabetes care services | 0.344337 |
| United States | 0.37032 |
| diabetes primary prevention | 0.337024 |
| certified diabetes educator | 0.339498 |
| primary prevention programs | 0.605523 |
| Health Manag Pract | 0.349779 |
| diabetes-related patient care | 0.43713 |
| diabetes patient care | 0.337796 |
| primary prevention program | 0.300474 |
| state health department | 0.415248 |
| primary prevention | 0.73737 |
| health departments | 0.394834 |
| diabetes surveillance capacity | 0.326062 |
| local health departments | 0.350261 |
| primary prevention services | 0.348153 |
| public health | 0.660572 |
| local diabetes burden | 0.318553 |
| small LHDs | 0.916812 |
| Public Health Manag | 0.350726 |
| diabetes surveillance | 0.367798 |
| local public health | 0.350377 |
| Fifty-eight small LHDs | 0.309257 |
| local diabetes surveillance | 0.303388 |
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| 8612 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - In Memorial, Marcella Bobzien |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| 1918 flu pandemic | 0.831942 |
| urban America | 0.420165 |
| brothers | 0.271262 |
| arrangement | 0.238189 |
| Carmen Garske Bobzien | 0.696732 |
| toddler | 0.244613 |
| community′s capacity | 0.403409 |
| Robert | 0.312156 |
| rural North Dakota | 0.960055 |
| sister′s children | 0.402576 |
| young children | 0.406766 |
| Leon | 0.238229 |
| Marilynn Sutherland | 0.479123 |
| saddened listening | 0.451394 |
| grandmother Carmen | 0.502497 |
| siblings Millie | 0.449186 |
| outskirts | 0.239438 |
| Marcella Bobzien | 0.512074 |
| adult | 0.236965 |
| Bismarck | 0.239291 |
| second-hand knowledge | 0.409664 |
| pandemic flu | 0.840436 |
| Stella Garske Bobzien | 0.604021 |
| Dolores | 0.248085 |
| close–knit farming community | 0.582038 |
|
| epidemic′s dependent survivors | 0.576819 |
| duration | 0.239408 |
| mother′s stories | 0.423821 |
| Storyteller | 0.244065 |
| orphanage | 0.23989 |
| Otto′s diary | 0.407305 |
| Jack | 0.237371 |
| Otto John Bobzien | 0.634523 |
| public health | 0.402595 |
| Bea | 0.247028 |
| sod farmhouse | 0.416584 |
| flu deaths | 0.542349 |
| maternal grandparents | 0.445172 |
| Carmen′s younger sister | 0.584438 |
| recollections | 0.243008 |
| Dick | 0.236716 |
| inevitable next flu | 0.545216 |
| Vernon | 0.34896 |
| Jim | 0.237393 |
| Ferd | 0.335858 |
| time | 0.237618 |
| family | 0.339136 |
| pandemics | 0.252807 |
| isolated farming families | 0.61478 |
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| 8667 |
Centers for Disease Control and Prevention |
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Diarrhea & Swimming - Recreational Water Illness (RWIs) - Healthy Swimming & Recreational Water - Healthy Water |
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| 10072 |
Centers for Disease Control and Prevention |
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Silica, Industry Publications - NIOSH Workplace Safety and Health Topic |
This NIOSH Topic Page presents information and links to other resources about Silica and Silicosis, and provides information to help workers protect themselves from occupational exposure to Silica. |
| construction workers | 0.452138 |
| Design Controls Silica | 0.430209 |
| NIOSH Engineering Controls | 0.414879 |
| Español | 0.394608 |
| NIOSH conducts engineering | 0.407624 |
| respirable dust levels | 0.392928 |
| local exhaust ventilation | 0.361656 |
| Hazard Control | 0.426011 |
| New Shroud Design | 0.391193 |
| Workplace Solutions | 0.380651 |
| Health Hazard Evaluation | 0.352725 |
| silica dust | 0.588965 |
| abrasive blasting | 0.360984 |
| available engineering controls | 0.357737 |
| respirable crystalline silica | 0.399359 |
| dust control | 0.421423 |
| Construction Blast Hole | 0.389209 |
| poor dust controls | 0.379229 |
| Silica Sand | 0.375334 |
| construction sites | 0.351397 |
| airborne respirable dust | 0.452602 |
| Dust Control Handbook | 0.380908 |
| drill dust | 0.366025 |
| dust control program | 0.417248 |
| Controls Silica Dust | 0.473036 |
|
| hazardous dust | 0.471169 |
| dust reduction engineering | 0.381702 |
| respirable silica | 0.444138 |
| respirable silica dust | 0.433842 |
| NIOSH research study | 0.394384 |
| surface coal mining | 0.406721 |
| NIOSH Publication No. | 0.952838 |
| unique circular deck | 0.379123 |
| Silica Hazard | 0.372536 |
| format describing silica | 0.374122 |
| NIOSH Health Hazard | 0.439434 |
| rock drillers | 0.370616 |
| Hazardous Dust Exposure | 0.398851 |
| Shroud Design Controls | 0.391654 |
| National Institute | 0.415535 |
| silica collection | 0.355014 |
| occupational safety | 0.441415 |
| respirable silica levels | 0.398999 |
| good dust controls | 0.38003 |
| respirable dust exposure | 0.403012 |
| Sanding Dust Exposures | 0.384162 |
| silicosis | 0.398471 |
| blast hole drills | 0.45983 |
| dust generation | 0.359299 |
|
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| 10861 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Smoking in Top-Grossing US Movies, 2011 - CDC |
We reviewed the number of incidents of tobacco use (almost exclusively smoking) depicted in movies in the United States in 2011 to compare that with previously reported trends. |
| tobacco appearances | 0.271862 |
| United States | 0.210493 |
| top-grossing movies | 0.727157 |
| policies | 0.23103 |
| Human Services | 0.205497 |
| smoking causes youth | 0.238583 |
| movies | 0.762188 |
| movie subsidy programs | 0.201236 |
| Tobacco Control Research | 0.28717 |
| companies | 0.212776 |
| long-term trends | 0.203021 |
| Motion Picture Association | 0.385641 |
| tobacco brands | 0.286119 |
| tobacco | 0.903074 |
| new youth-rated movies | 0.225765 |
| earlier report | 0.247121 |
| tobacco product | 0.456 |
| in-theater tobacco impressions | 0.287711 |
| figure | 0.232513 |
|
| box office | 0.209869 |
| Historical data | 0.251909 |
| tabular version | 0.256941 |
| tobacco-free youth-rated movies | 0.234557 |
| Total tobacco incidents | 0.390767 |
| tobacco use incident | 0.271744 |
| R-rated movie | 0.225733 |
| fewer incidents | 0.200811 |
| tobacco depictions | 0.287536 |
| youth smoking | 0.21933 |
| onscreen tobacco imagery | 0.298575 |
| support youth-rated movies | 0.228047 |
| top-grossing US movie | 0.204643 |
| youth-rated movies | 0.566251 |
| tobacco incidents | 0.768655 |
| tobacco imagery | 0.433027 |
| onscreen smoking | 0.270858 |
| Sacramento-Emigrant Trails | 0.202166 |
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| 11800 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Measurement of Compliance WithNew York City's Regulations on Beverages, Physical Activity, andScreen Time in Early Child Care Centers - CDC |
Policy interventions designed to change the nutrition environment and increase physical activity in child care centers are becoming more common, but an understanding of the implementation of these interventions is yet to be developed. The objective of this study was to explore the extent and consistency of compliance with a policy intervention designed to promote nutrition and physical activity among licensed child care centers in New York City. |
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| 13522 |
Centers for Disease Control and Prevention |
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Germs & Infections | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| benefits | 0.222734 |
| treatment | 0.221868 |
| contact lens wearers | 0.940048 |
| eye problems | 0.306071 |
| bacteria | 0.221157 |
| clear dome | 0.314817 |
| eye infection | 0.299747 |
| type | 0.242138 |
| eyes | 0.241389 |
| tips | 0.220161 |
| glasses | 0.254034 |
| daily activities | 0.330831 |
| inflammation | 0.225767 |
| vital aspect | 0.330436 |
| supplies | 0.27051 |
| patient | 0.221897 |
| sight | 0.225832 |
| infections | 0.222745 |
| contact lenses | 0.873684 |
| proper care | 0.302552 |
|
| higher risk | 0.308659 |
| germs | 0.226631 |
| viruses | 0.220914 |
| complications | 0.222584 |
| blindness | 0.222446 |
| eye surgery | 0.32165 |
| patients | 0.22235 |
| Worldwide | 0.22433 |
| corneal transplant | 0.30943 |
| people | 0.250812 |
| severe cases | 0.305582 |
| pair | 0.221688 |
| microbial keratitis | 0.480055 |
| eye | 0.334027 |
| eye doctor | 0.311816 |
| fungi | 0.220602 |
| permanent vision loss | 0.412181 |
| parasites | 0.222306 |
| practice healthy habits | 0.420185 |
| Contact lens wear | 0.439269 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field: Verona Integron-EncodedMetallo-Beta-Lactamase-Producing Carbapenem-ResistantEnterobacteriaceae in a Neonatal and Adult Intensive Care Unit -Kentucky, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.506276 |
| Patient ages | 0.506309 |
| VIM-producing CRE | 0.973022 |
| health care provider | 0.63009 |
| Human Services | 0.53915 |
| VIM metallo-beta-lactamase | 0.506324 |
| U.S. Department | 0.538329 |
| antimicrobial agents | 0.585277 |
| tertiary care hospital | 0.612615 |
| electronic PDF version | 0.549101 |
| single CRE species | 0.760278 |
| adult patient | 0.500624 |
| intensive care unit | 0.735613 |
| Clin Infect Dis | 0.555117 |
| health care providers | 0.748971 |
| Enterobacteriaceae species | 0.574637 |
| K. pneumoniae | 0.528038 |
| risk factors | 0.56592 |
| Klebsiella pneumoniae infection | 0.627943 |
| neonatal populations | 0.511483 |
| SHV-12-producing Enterobacter cloacae | 0.558195 |
| Health care facilities | 0.614867 |
| CRE toolkit update | 0.890666 |
| neonatal population | 0.511834 |
| health care settings | 0.613541 |
|
| Anna Q. Yaffee | 0.555906 |
| Verona integron-encoded metallo-beta-lactamase | 0.582532 |
| weekly active surveillance | 0.577481 |
| 1Epidemic Intelligence Service | 0.555274 |
| Enterobacter cloacae | 0.578325 |
| United States | 0.839832 |
| VIM-producing CRE colonization | 0.879816 |
| original MMWR paper | 0.555156 |
| higher relapse rate | 0.550405 |
| antimicrobial therapy | 0.513352 |
| Kristóf K. Emergence | 0.552153 |
| surgical ICU | 0.506435 |
| Raoultella species | 0.507311 |
| Carbapenem-resistant Enterobacteriaceae | 0.513257 |
| clinical infection | 0.512936 |
| neonatal intensive care | 0.755702 |
| complicated patient outcomes | 0.567707 |
| health care | 0.827443 |
| public health | 0.585605 |
| infection control practices | 0.571327 |
| 3Career Epidemiology Field | 0.55078 |
| isolate culture date | 0.589655 |
| Infect Control Hosp | 0.563304 |
| CRE acquisition | 0.663854 |
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| 14490 |
Centers for Disease Control and Prevention |
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Who Would Pay for State Alcohol Tax Increases in the UnitedStates? |
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. |
| capita alcohol consumption | 0.30075 |
| alcohol tax increase | 0.296011 |
| binge drinkers | 0.229577 |
| net cost | 0.29351 |
| binge drinking | 0.365435 |
| hypothetical tax increases | 0.333861 |
| tax increases | 0.788391 |
| alcohol prices | 0.237541 |
| hypothetical tax increase | 0.31302 |
| Alcohol Abuse | 0.225825 |
| higher alcohol taxes | 0.283553 |
| alcohol taxes | 0.45171 |
| alcohol | 0.791816 |
| aggregate costs | 0.290183 |
| adult excessive drinkers | 0.290387 |
| state alcohol tax | 0.464782 |
| BRFSS core alcohol | 0.230523 |
| heavy drinker | 0.254124 |
| daily average | 0.255015 |
| alcohol tax increases | 0.746898 |
| state alcohol taxes | 0.34449 |
| sociodemographic characteristics | 0.234235 |
| alcohol policy interventions | 0.233863 |
| capita costs | 0.345711 |
|
| State-specific tax increases | 0.249169 |
| United States | 0.387976 |
| drinks | 0.467223 |
| current alcohol taxes | 0.253209 |
| average annual increase | 0.230942 |
| non-Hispanic white drinkers | 0.274355 |
| alcohol consumption | 0.607549 |
| Average daily alcohol | 0.264005 |
| Alcohol Epidemiologic Data | 0.232708 |
| excessive drinkers | 0.841684 |
| Excessive alcohol consumption | 0.347454 |
| excessive drinking | 0.243269 |
| hypothetical state alcohol | 0.373777 |
| non-Hispanic whites | 0.284088 |
| public health | 0.250963 |
| nonexcessive drinkers | 0.909314 |
| costs | 0.35543 |
| Alcohol Policy Information | 0.282279 |
| value-based alcohol taxes | 0.253549 |
| annual alcohol consumption | 0.244944 |
| hypothetical alcohol tax | 0.299364 |
| evidence-based public health | 0.239268 |
| alcohol spectrum disorders | 0.239775 |
| current drinkers | 0.239986 |
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