| 5621 |
Centers for Disease Control and Prevention |
Html |
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o-Dianisidine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5738 |
Centers for Disease Control and Prevention |
Html |
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Ethylene dichloride - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 6849 |
Centers for Disease Control and Prevention |
Html |
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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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| 7953 |
Centers for Disease Control and Prevention |
Html |
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Free Flu Materials - Video |
Free flu resources for video content - CDC |
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CLICK HERE |
| 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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| 8708 |
Centers for Disease Control and Prevention |
Html |
en |
Basic Statistics | HIV Basics | HIV/AIDS | CDC |
An explanation of the statistics of HIV and AIDS. This is basic information on HIV statistics and surveillance. |
| new HIV infections | 0.672729 |
| HIV | 0.931127 |
| new HIV diagnoses | 0.46782 |
| United States | 0.432682 |
| HIV infections* | 0.233473 |
|
| new HIV | 0.746286 |
| HIV disease | 0.20645 |
| HIV data | 0.257253 |
| HIV prevalence | 0.265067 |
| people | 0.236077 |
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| 9694 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de Christine - Historias de la vida real - Consejos de exfumadores |
La historia de Christine, una exfumadora con cáncer oral, es parte de la campaña Consejos de exfumadores de los CDC. |
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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 |
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Centers for Disease Control and Prevention |
Html |
en |
State and Local Comprehensive Smoke-Free Laws for Worksites,Restaurants, and Bars - United States, 2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| CDC | 0.452576 |
| statewide smoking restrictions | 0.45099 |
| private-sector worksites | 0.444009 |
| smoke-free enforcement | 0.513808 |
| state smoke-free laws | 0.571176 |
| worksites | 0.450044 |
| state smoke-free law.¶ | 0.540291 |
| local smoke-free laws | 0.595507 |
| Tobacco Activities Tracking | 0.455559 |
| secondhand smoke | 0.636348 |
| smoking restrictions | 0.484498 |
| local laws | 0.443779 |
| smoke-free status | 0.53487 |
| local smoke-free ordinances | 0.530593 |
| local smoking restrictions | 0.45871 |
| database.* State legislation | 0.439943 |
| Smoke-free laws aid | 0.548692 |
| smoke-free provisions | 0.509208 |
| smoke-free protections | 0.510715 |
| southeastern United States | 0.44179 |
| comprehensive state | 0.439974 |
| state laws | 0.445249 |
| local comprehensive laws | 0.471458 |
| indoor areas | 0.464229 |
| Tobacco Control Laws | 0.449313 |
|
| previous CDC report | 0.44151 |
| state smoke-free policies | 0.548552 |
| state comprehensive law | 0.463418 |
| comprehensive smoke-free laws | 0.943814 |
| comprehensive smoke-free adoption | 0.53817 |
| states | 0.500855 |
| stringent smoking restrictions | 0.448935 |
| statewide smoke-free law | 0.567257 |
| smoking | 0.523425 |
| state populations | 0.438665 |
| comprehensive smoke-free law | 0.68963 |
| local administrative laws | 0.452591 |
| comprehensive smoke-free policies | 0.596461 |
| secondhand smoke exposure | 0.628171 |
| preventable health hazard | 0.460229 |
| smoke-free law information | 0.530699 |
| U.S. population | 0.501373 |
| local smoke-free information | 0.534276 |
| smoke-free tracking systems | 0.528659 |
| State Tobacco Activities | 0.462309 |
| involuntary exposure | 0.45097 |
| statewide smoke-free laws | 0.554313 |
| local level | 0.454194 |
| young adult smoking | 0.445754 |
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