| 566 |
Centers for Disease Control and Prevention |
Html |
en |
Lead Hazards in Some Holiday Toys and Toy Jewelry | CDC Features |
Protect children from potential lead hazards in some holiday toys and toy jewelry. |
| recalled toys | 0.419212 |
| child’s exposure | 0.326055 |
| toddlers | 0.222929 |
| safe level | 0.295094 |
| health care provider | 0.739526 |
| U.S. Consumer Product | 0.409104 |
| objects | 0.222377 |
| simply handling toys | 0.458312 |
| smell | 0.225027 |
| fingers | 0.222856 |
| especially imported toys | 0.604523 |
| lead levels increase | 0.406039 |
| Consumer Products Safety | 0.574627 |
| larger effect | 0.299345 |
| children | 0.549245 |
| naked eye | 0.32908 |
| low levels | 0.308695 |
| holiday toys | 0.345777 |
| gifts | 0.223952 |
| high blood lead | 0.409739 |
| certified laboratory | 0.316136 |
| Do-it-yourself test kits | 0.403617 |
| recall list | 0.301085 |
| CPSC website | 0.323091 |
| elevated lead level | 0.408407 |
|
| child | 0.507666 |
| treatment | 0.242103 |
| high level | 0.300159 |
| United States | 0.31891 |
| children’s risk | 0.326405 |
| children’s toys | 0.362036 |
| blood lead test | 0.408948 |
| lead jewelry | 0.342755 |
| Products Safety Commission | 0.574563 |
| potential lead hazards | 0.464345 |
| holiday season | 0.324293 |
| CDC Lead website | 0.436119 |
| mouths | 0.226497 |
| toys | 0.700409 |
| blood test | 0.301736 |
| toy jewelry | 0.929558 |
| antique toys | 0.485929 |
| lead | 0.576237 |
| Safety Commission list | 0.567165 |
| way | 0.272391 |
| plastic toys | 0.419457 |
| metal jewelry | 0.309099 |
| mouth | 0.261112 |
| Search your children | 0.312665 |
|
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| 812 |
Centers for Disease Control and Prevention |
Html |
en |
Trends in Uninsured Clients Visiting Health Centers Fundedby the Title X Family Planning Program - Massachusetts,2005-2012 |
Marion Carter1, Kathleen Desilets2, Lorrie Gavin3, Sue Moskosky2, Jill Clark4 (Author affiliations at end of text). |
| health-care insurance coverage | 0.422753 |
| health insurance | 0.907494 |
| lowest insurance coverage | 0.391206 |
| health centers | 0.596149 |
| insurance coverage | 0.519978 |
| reproductive health organization | 0.389789 |
| health care reform | 0.461912 |
| percentage | 0.450844 |
| private insurance | 0.390972 |
| publicly funded family | 0.418151 |
| health insurance coverage | 0.421056 |
| uninsured persons | 0.39594 |
| cervical cancer screening | 0.39744 |
| safety-net family planning | 0.4587 |
| family planning services | 0.771351 |
| health-care organizations | 0.42503 |
| Family Planning Annual | 0.404269 |
| family planning expansion | 0.433906 |
| young adults | 0.417103 |
| public health agencies | 0.400073 |
| health reform | 0.392039 |
| uninsured clients | 0.485465 |
| Title X program | 0.423214 |
| health insurance information | 0.426381 |
| private insurance companies | 0.390031 |
|
| health-care reform | 0.54855 |
| federal poverty level | 0.46658 |
| United States | 0.407629 |
| Title X–funded organizations | 0.414495 |
| client volume | 0.388138 |
| health-care providers | 0.410842 |
| family planning providers | 0.461756 |
| health insurance records | 0.415133 |
| family planning | 0.935107 |
| Massachusetts | 0.470794 |
| family planning program | 0.441408 |
| public health | 0.408553 |
| safety-net providers increases | 0.386903 |
| state health-care reform | 0.410834 |
| family planning clients | 0.603279 |
| safety-net providers | 0.437096 |
| health-care coverage | 0.399361 |
| health insurance plans | 0.416464 |
| public health programs | 0.405095 |
| community health centers | 0.485709 |
| income groups | 0.419913 |
| family planning coverage | 0.399386 |
| Title X-funded health | 0.39135 |
| Title X–funded health | 0.399404 |
|
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| 5248 |
Centers for Disease Control and Prevention |
Html |
en |
Health Care Use and Costs for Participants in a Diabetes Disease Management Program, United States, 2007-2008 |
null |
| program participation | 0.318692 |
| educational mailings | 0.300445 |
| higher Charlson comorbidity | 0.309155 |
| program | 0.62587 |
| diabetes preceding program | 0.355399 |
| diagnosis code | 0.318276 |
| program participants | 0.443855 |
| health care benefits | 0.312584 |
| greater program benefits | 0.307271 |
| prior indication | 0.3144 |
| outcomes | 0.313265 |
| disease management program | 0.472405 |
| diabetes disease management | 0.360425 |
| controlled diabetes | 0.334427 |
| uncontrolled diabetes | 0.906647 |
| patient health care | 0.306132 |
| high health care | 0.303648 |
| microalbumin urine test | 0.31185 |
| patients | 0.503744 |
| health care services | 0.427268 |
| diabetes-related costs | 0.370846 |
| Consumer Price Index | 0.357268 |
| emergency department | 0.330999 |
| health care costs | 0.317128 |
| HCG | 0.296792 |
|
| TRICARE Management Activity | 0.450247 |
| active participants | 0.43838 |
| education-based diabetes management | 0.312576 |
| annual medical savings | 0.315513 |
| telephone counseling | 0.301357 |
| diabetes drugs | 0.309076 |
| diabetes management programs | 0.482499 |
| ED visits | 0.314741 |
| larger increases | 0.300112 |
| historical control group | 0.31784 |
| total costs | 0.34506 |
| health care | 0.733414 |
| ambulatory visits | 0.413921 |
| participants | 0.478164 |
| prediction equations | 0.30196 |
| program eligibility | 0.513143 |
| disease management | 0.573591 |
| diabetes-related emergency department | 0.303272 |
| diabetes management | 0.492706 |
| Disease Management Association | 0.307895 |
| passive participants | 0.445679 |
| diabetes management program | 0.420837 |
| medical costs | 0.397562 |
| diabetes-related ambulatory visits | 0.345576 |
|
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| 6859 |
Centers for Disease Control and Prevention |
Html |
en |
The Epidemiology Workforce in State and Local 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. |
| Epidemiologists epidemiology capacity | 0.362415 |
| federally funded positions | 0.220052 |
| environmental health | 0.241821 |
| federal preparedness funding | 0.219929 |
| New York City | 0.218187 |
| health department epidemiologists | 0.368845 |
| number | 0.266537 |
| public health departments | 0.225602 |
| federal stimulus funding | 0.351075 |
| health department level | 0.237717 |
| current epidemiology capacity | 0.220818 |
| state-level functional capacity | 0.213028 |
| state-funded positions | 0.218512 |
| epidemiology capacity | 0.375861 |
| oral health | 0.238426 |
| Matthew L. Boulton | 0.202791 |
| epidemiology capacity assessments | 0.259615 |
| state-funded epidemiologists | 0.314943 |
| functional epidemiology capacity | 0.305118 |
| City Health Officials | 0.24693 |
| state epidemiology workforce | 0.257471 |
| Territorial Epidemiologists | 0.444605 |
| additional epidemiologists | 0.30422 |
| health department workforce | 0.235766 |
| state epidemiologists | 0.39095 |
|
| previous CSTE ECAs | 0.225868 |
| federal funding streams | 0.215742 |
| public health workforce | 0.232734 |
| local-level epidemiologists | 0.403248 |
| program area | 0.224731 |
| epidemiologists | 0.742936 |
| states | 0.259661 |
| local health department | 0.49415 |
| health department epidemiologist | 0.211669 |
| epidemiology workforce | 0.654489 |
| competent epidemiology workforce | 0.24297 |
| state-level workforce | 0.230016 |
| state-level epidemiology workforce | 0.437062 |
| full-time equivalent epidemiologists | 0.393782 |
| local health departments | 0.935368 |
| public health | 0.309222 |
| health epidemiology workforce | 0.275787 |
| epidemiology workforce competence | 0.229685 |
| epidemiology workforce assessments | 0.265448 |
| vacant state-funded positions | 0.207733 |
| state-level epidemiologists | 0.629123 |
| local epidemiology workforce | 0.321377 |
| federal funding | 0.319115 |
| bioterrorism/emergency response | 0.258528 |
|
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| 7142 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Tonga |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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| 7815 |
Centers for Disease Control and Prevention |
Html |
en |
AIDS and Other STDs in Youth - Health Communication |
AIDS and STDs in Youth - Gateway to Health Communication - CDC |
| young women | 0.347534 |
| HIV-infected person | 0.479822 |
| African-American men ages | 0.467164 |
| new HIV infections | 0.714322 |
| young African-American men | 0.459217 |
| Pneumocystis carinii pneumonia | 0.449451 |
| young adult | 0.36616 |
| heterosexual transmission | 0.32983 |
| long-term disability | 0.326572 |
| mothers | 0.32553 |
| junior high school | 0.416071 |
| Roughly half | 0.33816 |
| tough decisions | 0.339152 |
| internal warts | 0.330043 |
| AIDS | 0.442171 |
| Americans ages | 0.33615 |
| common opportunistic infections | 0.489088 |
| ethnic minorities | 0.332241 |
| sexually transmitted disease | 0.472081 |
| healthy people | 0.338965 |
| health status | 0.337505 |
| human papillomavirus | 0.486363 |
| human immunodeficiency virus | 0.46441 |
| Yes. A person | 0.340467 |
| injection drug needles | 0.459463 |
|
| direct relationship | 0.346639 |
| unprotected sex | 0.693899 |
| night sweats | 0.337012 |
| sex partners | 0.338368 |
| United States | 0.348176 |
| HIV exposure | 0.548184 |
| young people | 0.809192 |
| HIV cases | 0.503909 |
| CD4 cell count | 0.440818 |
| sex-related topics | 0.32877 |
| middle-aged adults | 0.327125 |
| opportunistic illnesses | 0.346586 |
| HIV transmission | 0.505468 |
| injection drug equipment | 0.634321 |
| young men | 0.350876 |
| African-American women ages | 0.46405 |
| lymph glands | 0.337189 |
| common mode | 0.421223 |
| HIV | 0.990454 |
| STDs | 0.41098 |
| possible consequences | 0.343968 |
| STD infections | 0.384696 |
| HIV infection | 0.732275 |
| yeast infections | 0.456711 |
|
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| 9637 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Table L7 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory |
BRFSS 2008 - Table L7 Lifetime Asthma Prevalence Rate (Percent) and Prevalence (Number) by Income and State or Territory |
| Microsoft PowerPoint file | 0.360182 |
| Table L7 Lifetime | 0.405732 |
| CDC | 0.378081 |
| Lifetime Asthma Prevalence | 0.591039 |
| Microsoft Word file | 0.36157 |
| Technical Information | 0.375932 |
| Search Form Controls | 0.581313 |
| Adult Asthma Data | 0.385747 |
| Child Table | 0.887714 |
| Prevalence Data | 0.372912 |
| file | 0.522183 |
| Clifton Road Atlanta | 0.375819 |
| GA | 0.374488 |
| small sample size | 0.364055 |
| Prevalence Tables | 0.392565 |
| sample size | 0.383142 |
| Microsoft Excel file | 0.359914 |
| Map C1 | 0.356624 |
| Tweet Share Compartir | 0.406758 |
| U.S. Total** | 0.710326 |
| Table L2 | 0.492421 |
| Table | 0.950549 |
| *CI denotes confidence | 0.366394 |
|
| Asthma Call-back Survey | 0.355142 |
| Table L7 | 0.531246 |
| page options Skip | 0.404269 |
| Search Controls | 0.403124 |
| )|| | 0.409871 |
| Child Table L2 | 0.463071 |
| different file formats | 0.364218 |
| Adult Technical Information | 0.352683 |
| Map R1 | 0.362767 |
| file formats | 0.368531 |
| Asthma | 0.595223 |
| 10.6 | 0.594991 |
| Apple Quicktime file | 0.36732 |
| 14.1 | 0.76504 |
| Child Table C2 | 0.461987 |
| Asthma Prevalence Rate | 0.590246 |
| NCHS Asthma FastStats | 0.35732 |
| confidence interval | 0.380049 |
| Table C2 | 0.491062 |
| 18.2 | 0.424165 |
| 14.5 | 0.447942 |
| National Asthma Control | 0.352699 |
| Adult Self-Reported Lifetime | 0.394183 |
|
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| 10086 |
Centers for Disease Control and Prevention |
Html |
en |
Child Passenger Safety | Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| seat belt fit | 0.393326 |
| Motor vehicle deaths | 0.256802 |
| car seat | 0.934787 |
| Mortality Weekly Report | 0.216996 |
| booster seat age | 0.510245 |
| size-appropriate car seat | 0.442581 |
| seat type | 0.42454 |
| certified Child Passenger | 0.341551 |
| child passenger restraint | 0.73487 |
| booster seat | 0.668207 |
| passenger restraint laws | 0.605755 |
| seat height/weight limits | 0.426018 |
| motor vehicle | 0.351573 |
| correct car seat | 0.440538 |
| children | 0.566614 |
| seat use result | 0.373941 |
| active air bag | 0.221544 |
| Passenger Safety Technicians | 0.236777 |
| proper seat | 0.415891 |
| Traffic Safety Administration | 0.224098 |
|
| passenger restraint law | 0.268907 |
| Passenger Safety Technician | 0.234416 |
| seat give-away programs | 0.4135 |
| child passenger safety | 0.442318 |
| child motor vehicle | 0.227527 |
| younger children | 0.202175 |
| rear-facing car seat | 0.44037 |
| Signs Issue details | 0.218102 |
| booster seats | 0.361981 |
| booster seat owner | 0.482769 |
| car seats | 0.344973 |
| appropriate car seats | 0.259462 |
| Motor Vehicle Occupant | 0.218211 |
| seat belt | 0.441804 |
| Child safety seat | 0.435412 |
| older children | 0.201228 |
| Motor vehicle crashes | 0.273866 |
| past decade | 0.317369 |
| required car seat | 0.448981 |
|
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| 13622 |
Centers for Disease Control and Prevention |
Html |
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Beverages, Obesity, Nutrition Policy, Nutrition Assessment, Health Promotion, Policy Making |
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. |
| city properties | 0.639073 |
| Beverage access data | 0.564042 |
| overall beverage consumption | 0.511146 |
| HBEO | 0.564609 |
| Boston Public Health | 0.551349 |
| city agencies | 0.643532 |
| healthy beverage promotion | 0.551006 |
| healthy beverages | 0.699039 |
| beverages | 0.915958 |
| nutrition standards | 0.532052 |
| healthy beverage campaigns | 0.562652 |
| Calorically sweetened beverages | 0.52495 |
| healthier beverages | 0.590759 |
| healthy options | 0.574751 |
| recreational facilities | 0.582786 |
| sugar content | 0.51277 |
| healthy beverage toolkit | 0.543273 |
| beverage access points | 0.733686 |
| healthy beverage availability | 0.547571 |
| beverage slots | 0.53796 |
| access points | 0.943671 |
| healthy beverage policies | 0.533521 |
| average beverage calories | 0.522169 |
| green beverages | 0.519936 |
|
| beverage access assessment | 0.524144 |
| HBEO beverage traffic-light | 0.562528 |
| healthy beverage choices | 0.579881 |
| consistently healthy beverage | 0.549988 |
| beverage access | 0.749451 |
| healthy beverage options | 0.656964 |
| Public Health Commission | 0.639053 |
| red beverage facings | 0.541234 |
| beverage | 0.909911 |
| healthier beverage options | 0.669723 |
| Healthy Beverage Executive | 0.62691 |
| healthy beverage | 0.802233 |
| Red beverage access | 0.550209 |
| sugar-sweetened beverages | 0.563978 |
| public health | 0.751411 |
| beverage consumption | 0.555293 |
| yellow beverage access | 0.535229 |
| healthy beverage standards | 0.562149 |
| boston city agencies | 0.634672 |
| beverage prices | 0.538241 |
| noncalorically sweetened beverages | 0.52452 |
| red beverages | 0.679996 |
| Average beverage sugar | 0.532108 |
| beverage slot facings | 0.566378 |
|
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| 13872 |
Centers for Disease Control and Prevention |
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Systematic Review of Programs Treating High-Need andHigh-Cost People With Multiple Chronic Diseases or Disabilities inthe United States, 2008&ndash2014 |
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. |
| complex chronic conditions | 0.479984 |
| health care spending | 0.501179 |
| care services | 0.494037 |
| control group | 0.524915 |
| multiple chronic conditions | 0.980417 |
| successful clinical outcomes | 0.524191 |
| case management | 0.586826 |
| health outcomes | 0.487675 |
| health care interventions | 0.480375 |
| health care delivery | 0.521641 |
| medical care services | 0.486178 |
| comprehensive care programs | 0.490851 |
| primary care program | 0.484078 |
| health care context | 0.486742 |
| health care providers | 0.507034 |
| home-based primary care | 0.615536 |
| health care access | 0.486105 |
| health care services | 0.482233 |
| patients | 0.493545 |
| Affordable Care Act | 0.482811 |
| care coordination home | 0.500826 |
| significant health care | 0.500765 |
| expensive health care | 0.494468 |
| Home health care | 0.49439 |
| complex medical conditions | 0.480387 |
|
| health care utilization | 0.485848 |
| chronic care model | 0.501103 |
| comprehensive care | 0.502398 |
| transitional care | 0.496367 |
| palliative care | 0.552555 |
| clinical outcomes | 0.661379 |
| primary care nurse | 0.477172 |
| nurse care management | 0.47896 |
| academic medical center | 0.478556 |
| health care | 0.75703 |
| health care outcomes | 0.531518 |
| spending outcomes | 0.501184 |
| chronic disease self-management | 0.502015 |
| palliative care patients | 0.484903 |
| successful health care | 0.521702 |
| nursing home | 0.477929 |
| systematic review | 0.537541 |
| home care services | 0.487745 |
| affairs medical center | 0.480671 |
| disease management | 0.557189 |
| patient satisfaction | 0.58526 |
| home telehealth | 0.497445 |
| et al | 0.536452 |
| older adults | 0.481909 |
|
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