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Smoke-Free Policies Result in High Levels of Compliance - Smoking & Tobacco Use |
Secondhand Smoke Fact Sheets. |
| Tobacco Smoke | 0.607294 |
| Smoke-Free New York | 0.653234 |
| national smoking restriction | 0.667648 |
| smokefree laws | 0.724034 |
| Los Angeles County | 0.59853 |
| York State Department | 0.752392 |
| Human Services | 0.606782 |
| partial smoking restrictions | 0.659214 |
| International Tobacco Control | 0.606424 |
| significant exemptions | 0.574856 |
| York City bars | 0.682772 |
| U.S. Department | 0.608614 |
| New York City | 0.864659 |
| Health Promotion | 0.59723 |
| ITC Ireland/UK Survey | 0.597027 |
| secondhand smoke | 0.614453 |
| Development Corporation.The State | 0.604117 |
| local smokefree laws | 0.699914 |
| national smokefree laws | 0.681312 |
| smoking areas | 0.673038 |
| New York State | 0.754756 |
| York City Economic | 0.617836 |
| municipal smokefree law | 0.683471 |
| comprehensive state | 0.576364 |
|
| tobacco products | 0.57419 |
| indoor areas | 0.813327 |
| observed smoking | 0.616731 |
| restaurants | 0.612697 |
| Indoor Air Act. | 0.602076 |
| comprehensive smokefree law | 0.691696 |
| high levels | 0.62033 |
| Long Term Compliance | 0.60065 |
| Comprehensive Smoke-Free Workplace | 0.620201 |
| smokefree law | 0.822923 |
| Small Business Services | 0.59616 |
| smokefree environment | 0.642745 |
| smoking | 0.745099 |
| New York | 0.978695 |
| Tobacco Control | 0.641999 |
| small bars | 0.602855 |
| bars | 0.729006 |
| Chronic Disease Prevention | 0.597279 |
| Fong GT | 0.596062 |
| York City Department | 0.71892 |
| comprehensive smokefree laws | 0.707203 |
| Various German states | 0.60256 |
| state smokefree law | 0.792044 |
| Tobacco Smoke Pollution | 0.605348 |
|
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Vaccine-Associated Paralytic Poliomyelitis and BCG-osis inan Immigrant Child with Severe Combined Immunodeficiency Syndrome -Texas, 2013 |
Robert Trimble, MD1, Jane Atkins, MD2, Troy C. Quigg, DO3, Cara C. Burns, PhD4, Gregory S. |
| polio vaccine virus | 0.688825 |
| immunodeficiency-associated vaccine-derived poliovirus | 0.628987 |
| poliovirus transmission | 0.618645 |
| live vaccine strain | 0.653117 |
| childhood TB infection | 0.625313 |
| physical examination | 0.609167 |
| Polio eradication efforts | 0.652242 |
| Texas Health Science | 0.617026 |
| OPV | 0.631527 |
| different public health | 0.60746 |
| health care providers | 0.616002 |
| left leg | 0.781734 |
| Gregory S. Wallace | 0.612397 |
| World Health Organization | 0.60779 |
| community hospital emergency | 0.616613 |
| skin lesion | 0.626983 |
| BCG infection | 0.610645 |
| common variable immunodeficiency | 0.609432 |
| severe combined immunodeficiency | 0.613591 |
| BCG vaccine recipients | 0.697769 |
| Antonio Metropolitan Health | 0.61669 |
| additional OPV vaccinations | 0.626379 |
| amino acid substitution | 0.673208 |
| comprehensive clinical history | 0.62337 |
|
| poliovirus vaccine | 0.686687 |
| endemically acquired case | 0.613428 |
| vaccine-associated paralytic polio | 0.669493 |
| National Polio Surveillance | 0.624082 |
| United States | 0.9602 |
| oral poliovirus vaccine | 0.679626 |
| wild poliovirus | 0.621454 |
| Anthony J. Infante | 0.717254 |
| Troy C. Quigg | 0.619665 |
| 906- nucleotide VP1 | 0.605877 |
| RAG-1 deficient SCIDS | 0.610904 |
| Live viral vaccines | 0.611836 |
| TB skin tests | 0.727851 |
| unvaccinated U.S. resident | 0.612675 |
| attenuated vaccine organisms | 0.645855 |
| San Antonio | 0.79514 |
| poliovirus vaccine strains | 0.680718 |
| inactivated poliovirus vaccine | 0.684249 |
| complex medical issues | 0.608078 |
| BCG vaccination | 0.722077 |
| low OPV coverage | 0.629295 |
| complete blood count | 0.617517 |
| family history | 0.610922 |
| Cara C. Burns | 0.616591 |
|
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Vital Signs: Sodium Intake Among U.S. School-Aged Children -2009-2010 |
On September 9, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| sodium density | 0.622026 |
| greater sodium intake | 0.488821 |
| School Lunch Program | 0.387213 |
| high school–aged children | 0.501044 |
| daily sodium consumption | 0.484607 |
| sodium reduction | 0.461259 |
| U.S. children | 0.392568 |
| Nutrition Examination Survey | 0.433944 |
| fast food/pizza restaurants | 0.393519 |
| lower sodium versions | 0.434859 |
| high sodium density | 0.476816 |
| blood pressure | 0.461892 |
| total sodium intake | 0.726362 |
| national health | 0.40828 |
| sodium content | 0.538992 |
| excess sodium intake | 0.479987 |
| mean sodium density | 0.473078 |
| school meals | 0.394049 |
| highest sodium density | 0.44167 |
| fast food/pizza | 0.400078 |
| population sodium consumption | 0.437744 |
| food categories | 0.469368 |
| National School Lunch | 0.388119 |
| average U.S. sodium | 0.477843 |
| sodium consumption | 0.526713 |
|
| school cafeteria foods | 0.568006 |
| sodium intake | 0.989277 |
| Intake Among U.S. | 0.390922 |
| Mean daily sodium | 0.449321 |
| mean sodium intake | 0.535511 |
| national nutrition standards | 0.397085 |
| school meal | 0.379784 |
| restaurant foods | 0.389723 |
| Average sodium consumption | 0.455473 |
| commonly consumed foods | 0.385513 |
| u.s. school-aged children | 0.523616 |
| heart disease | 0.381628 |
| U.S. sodium intake | 0.601056 |
| energy intake | 0.372167 |
| overall sodium intake | 0.513449 |
| lowest average sodium | 0.437661 |
| Average daily sodium | 0.455843 |
| dietary intake component | 0.427477 |
| highest total intake | 0.39872 |
| 24-hour dietary recall | 0.386972 |
| higher sodium content | 0.44048 |
| mg sodium | 0.436694 |
| high blood pressure | 0.424079 |
| complete school lunch | 0.373344 |
|
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Achieving a high response rate with a health care provider survey, Washington State, 2006 |
null |
| high response rates | 0.374493 |
| statewide health care | 0.302256 |
| clinic managers | 0.565378 |
| health care provider | 0.354135 |
| provider survey packet | 0.30436 |
| health maintenance organizations | 0.275402 |
| provider survey | 0.442754 |
| primary care providers | 0.306183 |
| health outcomes | 0.277868 |
| physicians | 0.331973 |
| health care delivery | 0.307825 |
| high response rate | 0.366256 |
| health care providers | 0.478399 |
| Chronic Care Model | 0.472894 |
| care quality survey | 0.30636 |
| health care professionals | 0.293514 |
| clinic manager questionnaire | 0.305983 |
| PAs | 0.285422 |
| response rate | 0.535458 |
| Health Systems Quality | 0.294872 |
| health care quality | 0.717146 |
| Washington State Department | 0.383601 |
| clinical practice guidelines | 0.319182 |
| health care facilities | 0.308701 |
| Washington State | 0.561022 |
|
| health care performance | 0.309541 |
| chronic disease | 0.30137 |
| Washington State Medical | 0.298412 |
| health care settings | 0.303811 |
| Clinic manager interviews | 0.294249 |
| clinical health care | 0.310837 |
| Julia A. Dilley | 0.289373 |
| United States | 0.274741 |
| clinic manager | 0.412722 |
| surveys | 0.288918 |
| high response | 0.391364 |
| low response rates | 0.298313 |
| proactive diabetes care | 0.274643 |
| chronic disease care | 0.28135 |
| public health professionals | 0.277096 |
| health care | 0.906901 |
| public health | 0.301245 |
| health care systems | 0.450041 |
| State Medical Association | 0.294669 |
| survey administration | 0.280308 |
| care provider survey | 0.348261 |
| response rates | 0.443141 |
| public health programs | 0.278541 |
| adjusted response rate | 0.297008 |
|
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Science Clips - Monday, December 03, 2012 |
null |
| individual participant meta-analysis | 0.952357 |
| Saf Res. | 0.567109 |
| menopause | 0.240321 |
|
| breast cancer risk | 0.82941 |
| Menarche | 0.337582 |
|
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Frequently Asked Questions About Iodine-131 Found in Milk |
Information on terrorism and public health. Provided by the Centers for Disease Control and Prevention (CDC). |
| nuclear reactors | 0.420858 |
| FDA intervention level | 0.974232 |
| large safety margin | 0.601251 |
| portion | 0.240804 |
| pastures | 0.247224 |
| FDA intervention level. | 0.619005 |
| dairy cows. | 0.394517 |
| uncertainty | 0.248539 |
| Historically | 0.245093 |
| health depend | 0.394723 |
| factors. | 0.28427 |
| times | 0.334434 |
| Yes. People | 0.441634 |
| low levels | 0.409091 |
| young children | 0.609312 |
| thyroid health | 0.408449 |
|
| FDA’s level | 0.433137 |
| Airborne Iodine-131 | 0.388706 |
| Iodine-131 | 0.478558 |
| public health | 0.401049 |
| infants | 0.305158 |
| Japan | 0.24118 |
| milk | 0.69438 |
| newborns | 0.316878 |
| concerns | 0.29833 |
| specific questions | 0.397112 |
| environment | 0.242468 |
| effects | 0.238476 |
| radiation | 0.245551 |
| time | 0.282383 |
| levels | 0.52741 |
|
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New state physical activity indicator report now available online | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| playground areas | 0.617234 |
| half | 0.280073 |
| access | 0.26267 |
| streets | 0.285019 |
| United States | 0.582528 |
| policies | 0.25531 |
| boys | 0.262079 |
| girls | 0.261902 |
| youth | 0.263025 |
| sidewalks | 0.322348 |
| parks | 0.274643 |
| U.S. DEPARTMENT | 0.528567 |
| design | 0.254872 |
| clubs | 0.261783 |
| wheelchairs | 0.306672 |
|
| neighborhoods | 0.308426 |
| motorists | 0.313956 |
| recreation centers | 0.605295 |
| bicyclists | 0.30738 |
| pedestrians | 0.317287 |
| transit riders | 0.5578 |
| intent | 0.299535 |
| users | 0.254325 |
| physical activity | 0.78644 |
| paths | 0.292349 |
| new report | 0.572026 |
| HUMAN SERVICES | 0.526848 |
| State Indicator Report | 0.924835 |
| physical activity behavior | 0.780086 |
|
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MMWR News Synopsis: October 16, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| vaccinations | 0.434766 |
| mean proportion | 0.733015 |
| school-age children | 0.635739 |
| cessation interventions | 0.585263 |
| patient lists | 0.572771 |
| New York City | 0.949929 |
| vaccination coverage | 0.998713 |
| pressoffice@health.nyc.gov | 0.582429 |
| smoking status | 0.563539 |
| median exemption rate | 0.813839 |
| health care providers | 0.750151 |
| school entry | 0.588334 |
| patients | 0.449889 |
| schoolchildren | 0.441752 |
| tobacco products | 0.571544 |
| schools | 0.45772 |
| health care settings | 0.730682 |
| HUMAN SERVICES | 0.56873 |
| CDC Media Relations | 0.796712 |
| high vaccination coverage | 0.846425 |
| Electronic health records | 0.748956 |
| electronic health record | 0.742958 |
| parents | 0.433368 |
| United States | 0.589022 |
| professionals | 0.433267 |
|
| smokers | 0.546984 |
| healthcare | 0.433276 |
| NYC DOHMH | 0.57537 |
| timely feedback | 0.568336 |
| U.S. DEPARTMENT | 0.567938 |
| critical protection | 0.604926 |
| health departments | 0.63022 |
| Healthy People | 0.57956 |
| high exemption levels | 0.808025 |
| vaccine exemption rates | 0.92137 |
| quit rates | 0.584359 |
| York City Department | 0.724597 |
| local vaccine requirements | 0.839056 |
| vaccine coverage | 0.825193 |
| CDC gathers data | 0.772666 |
| medical visit | 0.569463 |
| low vaccine rates | 0.825332 |
| cessation intervention | 0.587106 |
| Community Health Centers | 0.730733 |
| vaccine-preventable diseases | 0.808518 |
| electronic-health-record-based pay-for-improvement initiative | 0.705628 |
| smoking-status documentation | 0.565051 |
| kindergarten students | 0.603015 |
| Mental Hygiene | 0.574463 |
|
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CDC Confirms First Ebola Case Diagnosed in the United States |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| CDC Director | 0.423228 |
| CDC | 0.818535 |
| ill person | 0.564924 |
| Response Network | 0.266328 |
| Texas Health Presbyterian | 0.438038 |
| strong health care | 0.408422 |
| Disease Control | 0.278422 |
| Local public health | 0.42768 |
| medical facility | 0.270923 |
| health care professionals | 0.395792 |
| additional cases | 0.259202 |
| medical systems | 0.253422 |
| data health officials | 0.384235 |
| exhibit symptoms | 0.273524 |
| laboratory tests | 0.279445 |
| active symptoms | 0.275836 |
| public health officials | 0.642621 |
| symptoms | 0.405032 |
| return flight | 0.25042 |
| Ebola | 0.9975 |
| ill people | 0.284379 |
| single case | 0.258578 |
| United States | 0.88332 |
| thorough case finding | 0.377205 |
| Texas lab | 0.270516 |
|
| meticulous infection control | 0.376993 |
| laboratory test results | 0.400588 |
| U.S. public health | 0.396575 |
| incubation period | 0.250427 |
| patient | 0.249838 |
| contact tracing underway | 0.433607 |
| public health professionals | 0.637861 |
| Dr. Tom Frieden | 0.402572 |
| public health | 0.823311 |
| travel history | 0.267825 |
| CDC team | 0.428739 |
| daily monitoring | 0.262088 |
| sporadic cases | 0.253709 |
| medical center | 0.269287 |
| commercial airline flights | 0.375454 |
| prior experience | 0.245647 |
| CDC’s Laboratory | 0.432581 |
| Viral Hemorrhagic Fever | 0.369783 |
| sick person | 0.310447 |
| medical care | 0.271722 |
| possible exposure | 0.26796 |
| Texas Health Department | 0.429697 |
| close personal contact | 0.3715 |
| West Africa | 0.565921 |
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Addressing Needs of Contacts of Ebola Patients During anInvestigation of an Ebola Cluster in the United States - Dallas,Texas, 2014 |
Charnetta L. Smith, MD1,2,3, Sonya M. Hughes, MPH4, Mateusz P. |
| County Medical Society | 0.598243 |
| formal needs assessment | 0.54715 |
| Mateusz P. Karwowski | 0.525568 |
| 4Dallas County Health | 0.547814 |
| Ebola contacts | 0.682339 |
| federal health officials | 0.568341 |
| community partner resources | 0.531294 |
| Liberian Community Association | 0.536482 |
| Ebola transmission | 0.619218 |
| community contacts | 0.71282 |
| public health surveillance | 0.56821 |
| state health departments | 0.55535 |
| ebola response | 0.677656 |
| Independent School District | 0.57577 |
| Dallas County Voluntary | 0.523382 |
| possible future cases | 0.57836 |
| contact tracing | 0.672971 |
| Dallas County Ebola | 0.696173 |
| public health response | 0.555582 |
| local Liberian community | 0.553481 |
| successful contact tracing | 0.593198 |
| contact tracing team | 0.583806 |
| Ebola patients | 0.705376 |
| Ebola | 0.882344 |
| ambulance contacts | 0.569 |
|
| effective contact tracing | 0.563859 |
| Dallas Independent School | 0.530723 |
| Ebola virus disease | 0.725804 |
| Dallas County Medical | 0.538584 |
| charitable foundations | 0.561056 |
| Ebola Epidemiology/Laboratory Task | 0.660849 |
| Ebola case | 0.622448 |
| social isolation | 0.576106 |
| mental health resources | 0.643846 |
| Jessica C. Smith | 0.521759 |
| health care workers | 0.841745 |
| health care contacts | 0.634674 |
| public health emergency | 0.646528 |
| Contact tracers | 0.600057 |
| health care | 0.902556 |
| Dallas Ebola Investigation | 0.779664 |
| care worker contacts | 0.795173 |
| health care worker | 0.851148 |
| Sibeso N. Joyner | 0.522841 |
| future imported cases | 0.532211 |
| Ebola patient | 0.77767 |
| Charnetta L. Smith | 0.620757 |
| 3CDC Dallas Ebola | 0.691295 |
| Health Services Ebola | 0.71147 |
|
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