| 5406 |
Centers for Disease Control and Prevention |
Html |
en |
Smoking and visual impairment among older adults with age-related eye diseases. |
null |
| BRFSS vision module | 0.273571 |
| self-reported visual impairment | 0.433276 |
| Risk Factor Surveillance | 0.305973 |
| current smokers | 0.752252 |
| eye diseases | 0.424595 |
| Mountains Eye Study | 0.322217 |
| Health Promotion | 0.311724 |
| Disease Control | 0.361096 |
| current smokers vs | 0.390468 |
| smoking status | 0.314273 |
| AMD | 0.306297 |
| shorter life expectancy | 0.274238 |
| Cederholm J. Smoking | 0.299553 |
| general health status | 0.369619 |
| age-related macular degeneration | 0.475048 |
| current smoking | 0.31025 |
| self-reported smoking | 0.29868 |
| National Center | 0.312917 |
| Vision impairment | 0.268835 |
| diabetic retinopathy | 0.306737 |
| BRFSS response rate | 0.269002 |
| respondents | 0.37882 |
| Mitchell P. Smoking | 0.300724 |
| smoking cessation | 0.319677 |
|
| Blue Mountains Eye | 0.322643 |
| vision module | 0.317133 |
| Behavioral Risk Factor | 0.307291 |
| United States | 0.425548 |
| association | 0.277151 |
| age-related eye diseases | 0.421432 |
| Visual Impairment Project | 0.327046 |
| MMWR Morb Mortal | 0.265238 |
| cigarette smoking | 0.381498 |
| BRFSS respondents | 0.301306 |
| smoking | 0.580394 |
| visual impairment | 0.903461 |
| Arch Ophthalmol | 0.337065 |
| health care | 0.281326 |
| cataract | 0.310909 |
| Br J Ophthalmol | 0.269771 |
| health | 0.372007 |
| nuclear cataract | 0.268327 |
| Chronic Disease Prevention | 0.393718 |
| Surgeon General | 0.276688 |
| E. Cigarette smoking | 0.300847 |
| primary open-angle glaucoma | 0.270981 |
| older adults | 0.328897 |
| multivariate logistic regressions | 0.27223 |
|
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| 6182 |
Centers for Disease Control and Prevention |
Html |
en |
Public policy versus individual rights in childhood obesity interventions: perspectives from the Arkansas experience with Act 1220 of 2003. |
null |
| health advisory committee | 0.478189 |
| childhood obesity policy | 0.518401 |
| public health policies | 0.464283 |
| Prev Chronic Dis | 0.499324 |
| public policy concerns | 0.458473 |
| individual health data | 0.450513 |
| Public health law | 0.451915 |
| Wood Johnson Foundation | 0.545229 |
| evaluation data | 0.455833 |
| public’s health | 0.457976 |
| obesity control policies | 0.466167 |
| school personnel | 0.442894 |
| body mass index | 0.579611 |
| W. Boozman College | 0.436125 |
| public policy | 0.494706 |
| statewide BMI database | 0.423646 |
| BMI measurement | 0.518549 |
| schools | 0.486994 |
| public health protections | 0.4587 |
| multiple stakeholder groups | 0.443701 |
| Little Rock | 0.425548 |
| obesity burden | 0.424757 |
| parents | 0.450913 |
| community health promotion | 0.425088 |
| healthier options | 0.423359 |
|
| public school children | 0.484124 |
| public health policy | 0.547768 |
| obesity prevention movement | 0.433594 |
| Child Health Advisory | 0.431569 |
| required public school | 0.439353 |
| major public health | 0.523923 |
| Robert Wood Johnson | 0.545236 |
| Medical Sciences | 0.486107 |
| public health initiatives | 0.451123 |
| public health threats | 0.452785 |
| Arkansas Act | 0.547081 |
| public health goals | 0.457022 |
| individual rights | 0.759392 |
| public health | 0.898925 |
| Fay W. Boozman | 0.434215 |
| unhealthy options | 0.426933 |
| Health Improvement | 0.44734 |
| Arkansas public schools | 0.449356 |
| public health programs | 0.459899 |
| school policy changes | 0.427999 |
| BMI assessment | 0.518393 |
| physical activity | 0.501426 |
| Arkansas Center | 0.430995 |
| public health problem | 0.523917 |
|
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| 6849 |
Centers for Disease Control and Prevention |
Html |
en |
Trends in Tuberculosis - United States, 2011 |
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. |
| latent TB infection | 0.504882 |
| foreign-born persons | 0.667263 |
| foreign-born TB rates | 0.577983 |
| non-Hispanic Asians | 0.368636 |
| United States | 0.694101 |
| multidrug-resistant TB | 0.491874 |
| TB disease | 0.522746 |
| MDR TB cases | 0.548754 |
| domestic TB control | 0.498809 |
| latent infection | 0.375228 |
| U.S. Census Bureau | 0.385534 |
| national origin | 0.363951 |
| TB surveillance report | 0.500359 |
| TB awareness | 0.494986 |
| Current Population Survey | 0.386161 |
| TB case rates | 0.510884 |
| Gloria E. Oramasionwu | 0.379118 |
| TB decline | 0.488907 |
| state TB rates | 0.533151 |
| provisional TB cases | 0.516301 |
| non-Hispanic blacks | 0.368098 |
| MDR TB | 0.563638 |
| TB surveillance | 0.567238 |
| incident TB cases | 0.559227 |
|
| non-Hispanic whites | 0.41813 |
| lowest rate | 0.365392 |
| racial/ethnic group | 0.483572 |
| population TB rate | 0.544826 |
| TB Prevention | 0.48815 |
| HIV test result | 0.375473 |
| population estimates | 0.363817 |
| tb elimination | 0.57696 |
| TB screening | 0.481468 |
| TB surveillance data | 0.543552 |
| TB case rate | 0.588543 |
| culture-confirmed TB cases | 0.528771 |
| TB rates | 0.703852 |
| U.S. TB cases | 0.582008 |
| TB control | 0.568532 |
| TB patients | 0.532884 |
| foreign-born populations | 0.388466 |
| preventive TB treatment | 0.501548 |
| drug-susceptibility test results | 0.390181 |
| TB diagnosis | 0.481523 |
| local TB control | 0.498298 |
| national TB case | 0.559133 |
| global TB control | 0.551239 |
|
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| 8027 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Impact of Emerging HealthInsurance Arrangements on Diabetes Outcomes and Disparities:Rationale and Study Design - CDC |
Consumer-directed health plans combine lower premiums with high annual deductibles, Internet-based quality-of-care information, and health savings mechanisms. These plans may encourage members to seek better value for health expenditures but may also decrease essential care. |
| national health plan | 0.672759 |
| monthly hemoglobin A1c | 0.664622 |
| health insurance | 0.771951 |
| consumer-driven health plan | 0.652909 |
| emergency department visits | 0.739859 |
| Wharam JF | 0.688227 |
| health maintenance organizations | 0.651447 |
| high-severity emergency department | 0.747052 |
| Consumer-driven health plans | 0.660595 |
| HDHP members | 0.657993 |
| control group | 0.744474 |
| Health Insurance Experiment | 0.71707 |
| value-based insurance design | 0.664201 |
| state-based health insurance | 0.656358 |
| Health Care Institute | 0.705324 |
| health insurance type | 0.688544 |
| survey employer health | 0.633339 |
| members | 0.697222 |
| high-quality care | 0.639801 |
| low-income HDHP members | 0.633646 |
| health care consumers | 0.697949 |
| rigorous retrospective approach | 0.647657 |
| high-deductible health plan | 0.807889 |
| preventable hospitalizations | 0.644812 |
| consumer-directed health plans | 0.990718 |
|
| health care quality | 0.708101 |
| blood glucose test | 0.660674 |
| Soumerai SB | 0.681355 |
| health savings mechanisms | 0.657888 |
| glucose test strips | 0.656332 |
| low socioeconomic status | 0.653652 |
| propensity score | 0.736077 |
| high-deductible health plans | 0.741978 |
| Health Aff | 0.709453 |
| clinical outcomes | 0.677532 |
| traditional plan members | 0.632211 |
| health policy research | 0.65153 |
| Manag Care | 0.663386 |
| health care | 0.798776 |
| better health care | 0.673417 |
| consumer-directed health care | 0.740257 |
| Harvard Pilgrim Health | 0.634312 |
| health insurance studies | 0.668134 |
| RAND Health Insurance | 0.720141 |
| 13-year rolling sample | 0.663499 |
| Pilgrim Health Care | 0.703287 |
| Internet-based quality-of-care information | 0.655195 |
| HDHPs | 0.644338 |
| cost sharing | 0.663237 |
|
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| 8854 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - June 7, 2013 |
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. |
| H. influenzae | 0.529956 |
| CDC | 0.450749 |
| novel influenza | 0.742057 |
| pandemic influenza | 0.988891 |
| measles cases | 0.516068 |
| ** Data | 0.503157 |
| probable cases | 0.493951 |
| viral hemorrhagic fever | 0.642486 |
| rubella cases | 0.48473 |
| reporting | 0.333536 |
| influenza A virus | 0.597567 |
| virus infections | 0.500201 |
| National Center | 0.624178 |
| STD Prevention | 0.477559 |
| strain | 0.338356 |
|
| Immunization | 0.339292 |
| viruses | 0.335652 |
| cases | 0.654841 |
| TB Prevention | 0.466868 |
| Table | 0.368142 |
| hemorrhagic fever | 0.673459 |
| Total case counts | 0.604079 |
| serotypes | 0.336486 |
| Viral Hepatitis | 0.478201 |
| dengue hemorrhagic fever | 0.653952 |
| Cumulative total E. | 0.60499 |
| Influenza Division | 0.569507 |
| 2009 pandemic | 0.856086 |
| Respiratory Diseases | 0.474998 |
| ages | 0.336537 |
|
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| 9917 |
Centers for Disease Control and Prevention |
Html |
en |
Voluntary Recall of One Lot of Gardasil HPV Vaccine | Media Statement | CDC Online Newsroom | CDC |
CDC Statement regarding Gardasil vaccine recall 12/2013 |
| voluntary recall | 0.560564 |
| date | 0.321414 |
| CDC | 0.393796 |
| instance | 0.32461 |
| offices | 0.337067 |
| process. HPV vaccine | 0.741969 |
| potential | 0.3239 |
| lot. Merck | 0.449823 |
| injection site | 0.419086 |
| HPV vaccines | 0.658048 |
| vials | 0.387511 |
| steps | 0.321947 |
| vaccine. Clinicians | 0.433323 |
| mild reactions. | 0.424903 |
| effects | 0.321267 |
| HPV vaccination coverage | 0.698496 |
| isolated problem | 0.410885 |
| HUMAN SERVICES | 0.409505 |
| breakage | 0.329243 |
| recall. | 0.321646 |
| parents | 0.347811 |
| problems | 0.32444 |
| child | 0.32123 |
| benefits | 0.324543 |
| http://www.cdc.gov/vaccinesafety/Vaccines/HPV/hpv_gardasil_recall.html | 0.321795 |
|
| 11-12 year olds | 0.440114 |
| doses | 0.323987 |
| HPV vaccine | 0.950096 |
| www.merckvaccines.com | 0.320885 |
| result | 0.350619 |
| patient | 0.321541 |
| U.S. DEPARTMENT | 0.413326 |
| preteen girls | 0.420367 |
| company | 0.324122 |
| Recombinant | 0.326729 |
| strong safety record | 0.498075 |
| Gardasil® | 0.324037 |
| VAERS | 0.330903 |
| types | 0.346827 |
| People | 0.321767 |
| Human Papillomavirus Quadrivalent | 0.550975 |
| adverse events | 0.541861 |
| mild reactions | 0.424883 |
| concerns | 0.321367 |
| glass particles | 0.663745 |
| Vaccine Adverse Event | 0.669607 |
| cancer-preventing vaccine. | 0.433769 |
| information | 0.32108 |
| redness | 0.321467 |
|
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| 10153 |
Centers for Disease Control and Prevention |
Html |
en |
Asphalt Fumes - NIOSH Workplace Safety and Health Topics |
null |
| guide lists steps | 0.21073 |
| Occupational Exposure | 0.246754 |
| Asphalt Roofing Manufacturers | 0.587765 |
| hot asphalt | 0.75085 |
| Asphalt Fume Exposures | 0.817536 |
| roofing asphalt-fume condensates | 0.21958 |
| exposure limits | 0.31125 |
| asphalt roofing products | 0.751717 |
| worker exposure | 0.272494 |
| NIOSH Manual | 0.337 |
| Asphalt Pavement Milling | 0.494896 |
| NIOSH | 0.551895 |
| occupational safety | 0.212552 |
| Asphalt Fumes | 0.905379 |
|
| industrial hygiene information | 0.225738 |
| Hot Mix Asphalt | 0.523038 |
| current engineering controls | 0.385018 |
| Control Worker Exposure | 0.269827 |
| Publication No. | 0.800936 |
| NIOSH document Criteria | 0.396558 |
| asphalt paving industry | 0.515901 |
| NIOSH Pocket Guide | 0.476086 |
| International Chemical Safety | 0.232866 |
| work practices | 0.210294 |
| National Roofing Contractors | 0.223925 |
| worker exposures | 0.278378 |
| respirator recommendations | 0.255197 |
|
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| 11474 |
Centers for Disease Control and Prevention |
Html |
en |
NCIRD | DBD Bulletin Winter 2012 | Quarter 3 News |
Division of Bacterial Diseases Bulletin Winter |
| CIO Challenge Award | 0.870204 |
| Jennifer Liang | 0.795686 |
| NCIRD Honor Award | 0.91179 |
| CDC’s ABCs | 0.852918 |
| Outstanding Team Player | 0.846848 |
| Leadership Award | 0.794781 |
| CDC China National | 0.92621 |
| DBD microbiologist Carla | 0.902285 |
| Early Career Awards | 0.849782 |
| adult pneumococcal conjugate | 0.829485 |
| Director Lance Rodewald | 0.826516 |
| Jennifer Rabke Verani | 0.867781 |
| CDC National Conference | 0.913988 |
| personal protective equipment | 0.815893 |
| Streptococcus Laboratory team | 0.874673 |
| independent research careers | 0.835467 |
| Strep Prevention—GBS App | 0.840012 |
| Healthiest CIO Challenge | 0.861278 |
| Phlegm Fighters | 0.841028 |
| highest ranking nominations | 0.830828 |
| lab capacity-building training | 0.826586 |
| Streptococcus pneumoniae | 0.843737 |
| Chris Van Beneden | 0.824619 |
| Capacity—recognizing outstanding commitment | 0.837193 |
| National Immunization Program | 0.917447 |
|
| DBD staff members | 0.930634 |
| NCIRD Honor Awards | 0.895912 |
| CDC’s guidelines | 0.850291 |
| perinatal disease prevention | 0.854316 |
| NCIRD Awards Committee | 0.880416 |
| Challenge Award—This award | 0.868528 |
| cross-center cleaner-burning stove | 0.834268 |
| coveted Healthiest MEDIUM | 0.838336 |
| indoor air pollution | 0.820713 |
| PECASE award | 0.800347 |
| peer-submitted nomination narratives | 0.842212 |
| neonatal group | 0.808655 |
| Regional Reference Laboratory | 0.831571 |
| Alison Patti | 0.830823 |
| laboratorian Ranjith Jeyaraman | 0.821061 |
| Award—Gail’s award | 0.794565 |
| mobile web application | 0.823836 |
| DBD staffers | 0.839134 |
| CDC/ATSDR Award categories | 0.863808 |
| CDC scientists | 0.861296 |
| China CDC National | 0.9246 |
| CDC Excellence | 0.844306 |
| Stephanie Schrag | 0.833568 |
| neonatal sepsis | 0.800142 |
|
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| 13189 |
Centers for Disease Control and Prevention |
Html |
en |
Practice Healthy Behaviors |
You can lower your risk of getting breast cancer at a young age by making healthy lifestyle choices. |
| higher risk | 0.626136 |
| risk factors | 0.625973 |
| pain | 0.448468 |
| chance | 0.45933 |
| shape | 0.455933 |
| ovarian cancer | 0.644261 |
| health care provider | 0.835007 |
| changes | 0.443132 |
| breast cancer | 0.963741 |
| healthy weight | 0.705999 |
|
| babies | 0.464045 |
| Talk | 0.460485 |
| nipple discharge | 0.697862 |
| breasts | 0.484189 |
| physical activity | 0.680809 |
| doctor | 0.474513 |
| family health history | 0.876675 |
| size | 0.443026 |
| healthy lifestyle choices | 0.965527 |
|
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| 14252 |
Centers for Disease Control and Prevention |
Html |
en |
Using Electronic Health Record Data for Healthy WeightSurveillance in Children, San Diego, California, 2014 |
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. |
| data collection efforts | 0.531987 |
| census tracts | 0.565941 |
| community health surveillance | 0.529229 |
| child overweight | 0.510981 |
| health promotion activities | 0.492963 |
| monitoring reportable conditions | 0.471289 |
| San Diego County | 0.672658 |
| Diego healthy weight | 0.506837 |
| public health departments | 0.547837 |
| San Diego | 0.799456 |
| health disparities | 0.527017 |
| surveillance activities | 0.49868 |
| public health surveillance | 0.533316 |
| aggregated EHR data | 0.541548 |
| track health disparities | 0.497742 |
| Public Health Services | 0.541156 |
| San Diego Health | 0.550063 |
| National Health | 0.472131 |
| census tract | 0.54323 |
| Human Services Agency | 0.513707 |
| syndromic surveillance | 0.484238 |
| electronic health record | 0.517388 |
| detailed health information | 0.504645 |
| standard deviation | 0.473871 |
| innovative data source | 0.481381 |
|
| chronic disease surveillance | 0.509251 |
| electronic health information | 0.493968 |
| public health planning | 0.510138 |
| EHR data | 0.687414 |
| measure health disparities | 0.504728 |
| obese children | 0.494517 |
| medical encounters | 0.478561 |
| California Health Interview | 0.503884 |
| county child population | 0.493514 |
| analysis census tracts | 0.483457 |
| Health Systems Integration | 0.491068 |
| electronic data transfer | 0.496548 |
| local health departments | 0.557824 |
| public health | 0.67472 |
| healthy weight surveillance | 0.91237 |
| electronic clinical quality | 0.524421 |
| private health clinics | 0.503149 |
| electronic health records | 0.6067 |
| large medical systems | 0.471675 |
| Diego County children | 0.502913 |
| population health surveillance | 0.597202 |
| EHR-Based Healthy Weight | 0.507514 |
| community health clinics | 0.503957 |
| EHR incentive programs | 0.519898 |
|
CLICK HERE |