| 4545 |
Centers for Disease Control and Prevention |
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Seasonal Influenza Vaccine Safety: A Summary for Clinicians |
CDC Centers for Disease Control and Prevention Influenza Flu - vaccine safety summary provides an overview of the seasonal flu vaccine safety profile including adverse events, contraindications, precautions and administration safety for both LAIV and TIV. |
| previous influenza vaccination | 0.421002 |
| adverse reaction | 0.393872 |
| health care provider | 0.504412 |
| appropriate technique | 0.391807 |
| attenuated vaccine virus | 0.327395 |
| individuals | 0.539129 |
| National Vaccine Injury | 0.330369 |
| ACIP General Recommendations | 0.532081 |
| severe allergies | 0.389012 |
| intramuscular injection | 0.338796 |
| children | 0.457915 |
| severe allergic reaction | 0.448049 |
| General Influenza Recommendations | 0.384828 |
| safety | 0.338865 |
| previous vaccine doses | 0.572661 |
| clinical trials | 0.346025 |
| health care providers | 0.988426 |
| Current health status | 0.585718 |
| seasonal influenza vaccines | 0.346961 |
| pneumococcal conjugate vaccine | 0.358396 |
| influenza vaccine | 0.776551 |
| injection site | 0.460237 |
| possible reactive airways | 0.348483 |
| patients | 0.3431 |
|
| ACIP influenza guidelines | 0.349448 |
| IIV | 0.559081 |
| influenza virus | 0.372062 |
| previous dose | 0.431144 |
| vaccination | 0.514255 |
| LAIV | 0.489521 |
| vaccine components | 0.357492 |
| age group | 0.334235 |
| Flu vaccine composition | 0.35339 |
| IIV vaccination | 0.350762 |
| IIV vaccine | 0.3271 |
| seasonal influenza vaccine | 0.397482 |
| influenza vaccines | 0.372832 |
| ACIP General Influenza | 0.402629 |
| annual IIV vaccination | 0.341961 |
| adverse events | 0.853747 |
| mild illnesses | 0.417986 |
| influenza vaccination | 0.433315 |
| prior doses | 0.387768 |
| hemagglutinin influenza vaccine | 0.388639 |
| severe acute illness | 0.376262 |
| severe acute illnesses | 0.593711 |
| influenza virus antigens | 0.342522 |
| age | 0.416351 |
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Centers for Disease Control and Prevention |
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2-Chloro-6-trichloromethyl pyridine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| 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 |
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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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Centers for Disease Control and Prevention |
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Free Flu Materials - Video |
Free flu resources for video content - CDC |
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| 8027 |
Centers for Disease Control and Prevention |
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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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| 11037 |
Centers for Disease Control and Prevention |
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Opioid Painkiller Prescribing | 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. |
| mental health | 0.476174 |
| state-run health plans | 0.54265 |
| prescription painkiller | 0.831521 |
| opioid painkiller prescriptions | 0.678447 |
| prescription drugs | 0.653894 |
| pain treatment | 0.688025 |
| overdose deaths | 0.498888 |
| health care providers | 0.989625 |
| prescription painkillers* | 0.597072 |
| patient safety | 0.471724 |
| American adult | 0.483239 |
| compensation programs | 0.474156 |
| different parts | 0.473642 |
| patients | 0.505798 |
| prescribe large quantities | 0.541866 |
| Affordable Care Act | 0.529142 |
| pill mills | 0.472235 |
| prescription drug monitoring | 0.870615 |
| policy options | 0.535243 |
| particular promise | 0.474984 |
| person | 0.477787 |
| substance abuse treatment | 0.637436 |
| care providers practice | 0.552172 |
| state level | 0.473129 |
| specific type | 0.473988 |
|
| Vital Signs | 0.583562 |
| inappropriate prescribing | 0.47018 |
| highest-prescribing state | 0.480869 |
| Drug Administration | 0.469526 |
| substance abuse problems | 0.627645 |
| Health issues | 0.488609 |
| West Virginia | 0.474704 |
| effective pain treatment | 0.662247 |
| state-run databases | 0.557705 |
| multiple prescribers | 0.505823 |
| substance abuse | 0.658429 |
| prescription painkiller overdose | 0.72059 |
| Prescription Painkiller Overdoses | 0.742599 |
| high-dose painkillers | 0.589085 |
| pain treatment options | 0.538618 |
| responder access | 0.469607 |
| people | 0.477059 |
| Southern states | 0.473248 |
| prescription painkillers | 0.875826 |
| drug monitoring programs | 0.774749 |
| New Hampshire | 0.474434 |
| Drugs Information | 0.470657 |
| lowest prescribing state | 0.549529 |
| high-volume pain clinics | 0.545217 |
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Centers for Disease Control and Prevention |
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File Formats used on CDC.gov | Other | CDC |
File Formats used on CDC.gov |
| file format | 0.596913 |
| CDC.gov Template Package | 0.533845 |
| free viewer | 0.492773 |
| CDC.gov site | 0.467537 |
| text documents | 0.47719 |
| File extensions | 0.981364 |
| similar compression program | 0.513658 |
| required icons | 0.474965 |
| Adobe Acrobat | 0.536697 |
| bibliographic management applications | 0.51102 |
| SAS Software web | 0.558803 |
| Word Viewer | 0.476978 |
| simple text-based files | 0.525308 |
| special text | 0.482436 |
| generic audio/video icon | 0.51703 |
| Portable Document Format | 0.538301 |
| Excel Viewer | 0.479649 |
| SAS data sets | 0.560809 |
| RIS file format | 0.537389 |
| web site | 0.526312 |
| complex documents | 0.471289 |
| WMV files | 0.487726 |
| Apple iBooks | 0.468918 |
| PowerPoint Viewer | 0.476283 |
| free 21-day trial | 0.522593 |
|
| word processing program | 0.528902 |
| files | 0.586094 |
| PDF files | 0.499869 |
| Download SAS Universal | 0.575167 |
| Adobe® Systems | 0.474064 |
| Description | 0.580233 |
| Excel files | 0.48645 |
| Download Free RealPlayer | 0.544548 |
| Acrobat Reader | 0.539979 |
| video files | 0.522512 |
| SAS datasets | 0.509224 |
| Word documents | 0.46829 |
| Adobe Acrobat Reader | 0.532738 |
| live broadcasts | 0.521503 |
| typical Web browser | 0.526839 |
| free trial download | 0.533946 |
| PDF file | 0.497032 |
| SAS Universal Viewer | 0.813994 |
| electronic text | 0.469285 |
| spreadsheet program | 0.474213 |
| Amazon Kindle devices | 0.522 |
| universal file format | 0.569672 |
| original document | 0.474197 |
| Microsoft Excel | 0.469403 |
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Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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National Gay Men's HIV/AIDS Awareness Day - September 27, 2015 |
National Gay Men's HIV/AIDS Awareness Day is observed each year on September 27 to direct attention to the ongoing and disproportionate impact of human immunodeficiency virus (HIV) infection and acquired immune deficiency syndrome (AIDS) on gay, bisexual, and other men who have sex with men (MSM) in the United States. MSM represent approximately 2% of the U.S. |
| Purcell DW | 0.471055 |
| endorsement | 0.379911 |
| National Gay Men | 0.909187 |
| Human Services | 0.590679 |
| U.S. Department | 0.595012 |
| MMWR HTML versions | 0.580813 |
| new HIV diagnoses | 0.820017 |
| electronic PDF version | 0.5697 |
| viral suppression | 0.466198 |
| Open AIDS | 0.462474 |
| Additional information | 0.587775 |
| Contact GPO | 0.482889 |
| diagnosis | 0.34883 |
| HIV prevention services | 0.775827 |
| commercial sources | 0.457022 |
| HIV medical care | 0.77829 |
| population size | 0.456661 |
| immune deficiency syndrome | 0.638509 |
| current prices | 0.450575 |
| efforts | 0.349744 |
| Lansky | 0.337466 |
| original paper copy | 0.577298 |
| human immunodeficiency virus | 0.645899 |
| disproportionate impact | 0.506894 |
|
| HIV/AIDS Awareness | 0.644086 |
| Johnson CH | 0.464876 |
| United States | 0.634502 |
| U.S. Government Printing | 0.587715 |
| original MMWR paper | 0.575217 |
| antiretroviral therapy | 0.48016 |
| Superintendent | 0.329633 |
| linkage | 0.331236 |
| MMWR readers | 0.461227 |
| character translation | 0.449063 |
| format errors | 0.450119 |
| Health | 0.350443 |
| MSM | 0.696035 |
| sex | 0.355877 |
| typeset documents | 0.456891 |
| trade names | 0.457137 |
| paper copy | 0.590615 |
| official text | 0.447175 |
| U.S. population | 0.488311 |
| injection drug users | 0.625935 |
| non-CDC sites | 0.454415 |
| et al | 0.45564 |
| electronic conversions | 0.446063 |
| HIV infection | 0.889586 |
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Centers for Disease Control and Prevention |
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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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