| 4757 |
Centers for Disease Control and Prevention |
Html |
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Making room for mental health in the medical home. |
null |
| mental health clinics | 0.345046 |
| Health Care Access | 0.304678 |
| medical home model | 0.323795 |
| mental health | 0.91718 |
| Comorbidity Survey Replication | 0.30509 |
| physical health care | 0.314927 |
| mental health specialty | 0.311933 |
| primary care physician | 0.305528 |
| Arch Gen Psychiatry | 0.35399 |
| health care reform | 0.373825 |
| improved health care | 0.329406 |
| community mental health | 0.334371 |
| health care needs | 0.309308 |
| National Comorbidity Survey | 0.307371 |
| common mental illnesses | 0.304304 |
| medical home | 0.492589 |
| mental health specialists | 0.324525 |
| mental health services | 0.476942 |
| mental illness | 0.573883 |
| mental health settings | 0.351402 |
| New York State | 0.356314 |
| mental illnesses | 0.37388 |
| primary care settings | 0.38519 |
| public mental health | 0.35353 |
| special health care | 0.344652 |
|
| general medical care | 0.310441 |
| mental health staff | 0.336892 |
| mental health professionals | 0.311769 |
| overall health care | 0.318524 |
| mental health treatment | 0.329444 |
| pediatric mental health | 0.314909 |
| accountable mental health | 0.308823 |
| pediatric primary care | 0.310904 |
| mental health sector | 0.310074 |
| health care | 0.477019 |
| care mental health | 0.360788 |
| health care systems | 0.332703 |
| New York | 0.367851 |
| mental health centers | 0.30888 |
| OMH-operated mental health | 0.309359 |
| mental health competencies | 0.328394 |
| medical care | 0.336728 |
| mental health agencies | 0.329988 |
| recent health care | 0.329527 |
| State Mental Health | 0.305098 |
| mental health care | 0.424101 |
| mental health clinic | 0.348148 |
| primary care | 0.75109 |
| mental health conditions | 0.30914 |
|
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| 4906 |
Centers for Disease Control and Prevention |
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Clinical Laboratories Role in the Search and Containment of VRSA - HAI |
null |
| prompt recognition | 0.381547 |
| VRE | 0.392404 |
| public health authorities | 0.546342 |
| assistance contact CDC | 0.460933 |
| Disease Control | 0.400983 |
| Organisms In Healthcare | 0.373729 |
| Healthcare Infection Control | 0.523412 |
| Staphylococcus aureus | 0.475209 |
| VRSA strains | 0.645354 |
| VRSA | 0.967261 |
| public health partners | 0.442152 |
| home healthcare | 0.378044 |
| Vancomycin-Intermediate/Resistant Staphylococcus aureus | 0.456873 |
| infection control personnel | 0.559268 |
| vancomycin resistant Staphylococcus | 0.498342 |
| clinical laboratories | 0.449606 |
| important role | 0.383022 |
| patient-care personnel | 0.382106 |
| Vancomycin Resistance Recommendations | 0.439054 |
| state public health | 0.438929 |
| testing methodologies | 0.376099 |
| infection control guidelines | 0.512995 |
| healthcare providers | 0.37548 |
| Infection Control Practices | 0.605152 |
| United States | 0.381326 |
|
| methicillin-resistant Staphylococcus auerus | 0.464377 |
| infection control | 0.897868 |
| 13th case | 0.382856 |
| sample algorithm | 0.375827 |
| Advisory Committee | 0.428055 |
| Healthcare Quality Promotion | 0.42999 |
| infection control precautions | 0.630577 |
| Appropriate antimicrobial prescribing | 0.42499 |
| testing results | 0.376839 |
| genetic material | 0.374212 |
| VRSA infection | 0.745629 |
| public health | 0.583462 |
| VRSA cases | 0.718891 |
| vancomycin-resistant enterococci | 0.390252 |
| confirmatory susceptibility tests | 0.435043 |
| VRSA visit | 0.635987 |
| Practices Advisory Committee | 0.41886 |
| Hospital Infection Control | 0.506138 |
| infection control recommendations | 0.526019 |
| isolate types | 0.375656 |
| U.S. VRSA case | 0.699235 |
| appropriate infection control | 0.529185 |
| healthcare settings | 0.431235 |
| important opportunity | 0.382077 |
|
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| 5398 |
Centers for Disease Control and Prevention |
Html |
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Fast-Food Consumption and Obesity Among Michigan Adults |
null |
| dichotomous fast-food frequency | 0.315015 |
| fast food | 0.546073 |
| United States | 0.265527 |
| healthier fast-food items | 0.361978 |
| fast-food frequency data | 0.339129 |
| vegetable consumption | 0.223786 |
| population-based telephone survey | 0.214083 |
| nutritional information | 0.414533 |
| Michigan State University | 0.201926 |
| Michigan obesity prevalence | 0.208142 |
| general health status | 0.301545 |
| Community Health | 0.205887 |
| multivariate logistic regression | 0.25294 |
| regular fast-food consumption | 0.811626 |
|
| Risk Factor Survey | 0.205335 |
| fast-food restaurant | 0.536095 |
| body mass index | 0.247166 |
| fast-food restaurants | 0.862403 |
| obesity prevalence | 0.225532 |
| fast-food consumption | 0.987475 |
| physical activity | 0.270475 |
| Michigan adults | 0.313418 |
| respondents | 0.210372 |
| frequent fast-food restaurants | 0.329477 |
| regular fast-food consumers | 0.40523 |
| fast food consumption | 0.215201 |
| Behavioral Risk Factor | 0.238009 |
|
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| 6505 |
Centers for Disease Control and Prevention |
Html |
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Testing for Vaccine Adverse Events - Yellow Fever |
Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention. |
| Page | 0.331099 |
| acute-phase sera | 0.402156 |
| recent yellow fever | 0.629891 |
| yellow fever vaccine | 0.763053 |
| shipment | 0.317495 |
| systemic illness | 0.39696 |
| CDC/FDA | 0.317504 |
| patients | 0.316969 |
| extreme caution | 0.394774 |
| Polymerase chain reaction | 0.485176 |
| CDC Division | 0.449355 |
| previous reports | 0.405624 |
| potentially infected materials | 0.485259 |
| yellow fever vaccination | 0.812583 |
| Arbovirus Diseases | 0.397508 |
| overnight shipping | 0.386759 |
| Vector-Borne Diseases | 0.492293 |
| yellow fever | 0.930867 |
| Fort Collins | 0.384017 |
| fresh-frozen tissue samples | 0.479417 |
| anaphylaxis | 0.323231 |
| CDC medical officers | 0.526934 |
| following methods | 0.439885 |
| vaccine virus | 0.424711 |
|
| viral culture | 0.397464 |
| patient | 0.330259 |
| suspect cases | 0.408257 |
| CSF | 0.328834 |
| specimen | 0.32166 |
| CDC Submission Form | 0.522996 |
| VAERS | 0.369362 |
| fever vaccine-associated viscerotropic | 0.60357 |
| fever vaccine-associated neurologic | 0.609967 |
| recent recipients | 0.399152 |
| specimens | 0.338915 |
| adverse events | 0.575289 |
| following tests | 0.432195 |
| previous arrangements | 0.385497 |
| Reporting | 0.317483 |
| shipments | 0.316358 |
| Vaccine Adverse Events | 0.55856 |
| special testing | 0.404585 |
| liver biopsy | 0.502912 |
| Arboviral Diagnostic Reference | 0.467894 |
| Rampart Road | 0.396155 |
| Phone number | 0.392064 |
| Molecular analysis | 0.395545 |
| Healthcare providers | 0.408208 |
|
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| 6529 |
Centers for Disease Control and Prevention |
Html |
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Variant (Swine Origin) Influenza Viruses in Humans |
Swine flu viruses do not normally infect humans. However, sporadic human infections with swine flu have occurred - CDC |
| variant influenza viruses | 0.98352 |
| swine influenza virus | 0.504107 |
| case count tables | 0.326083 |
| potential global impact | 0.332113 |
| ongoing way | 0.271348 |
| infected animals | 0.362733 |
| pregnant women | 0.271894 |
| droplets land | 0.289127 |
| novel influenza viruses | 0.523478 |
| Swine flu viruses | 0.513669 |
| immune systems | 0.271903 |
| ) influenza virus.‬‬ | 0.446139 |
| age factor | 0.271992 |
| World Health Organization | 0.328664 |
| seasonal influenza | 0.387404 |
| weekly national influenza | 0.437646 |
| seasonal flu | 0.334807 |
| infected pig coughs | 0.39709 |
| certain chronic conditions | 0.327989 |
| international legal instrument | 0.331738 |
| public health events | 0.331662 |
| public health risks | 0.330185 |
| high risk | 0.400968 |
| additional precautions | 0.271727 |
|
| International Health Regulations | 0.327601 |
| vast majority | 0.27448 |
| human infection | 0.388844 |
| person-to-person spread | 0.303365 |
| multiple people | 0.295024 |
| swine industry | 0.308412 |
| United States | 0.281813 |
| variant virus infection | 0.419687 |
| infected pigs | 0.396159 |
| flu complications | 0.283643 |
| H1N2v viruses | 0.385021 |
| variant influenza virus | 0.51248 |
| flu-related complications | 0.280212 |
| heart disease | 0.272069 |
| variant viruses | 0.512337 |
| limited spread | 0.286693 |
| international community prevent | 0.328831 |
| variant viruses. | 0.353713 |
| people | 0.389724 |
| human infections | 0.615235 |
| Sporadic infections | 0.312997 |
| certain disease outbreaks | 0.329448 |
| localized outbreaks | 0.274284 |
| virus subtype designation | 0.383849 |
|
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| 8033 |
Centers for Disease Control and Prevention |
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Telebriefing on U.S. Adult Vaccination Rates - Press Briefing Transcript |
Telebriefing on U.S. Influenza Activity and Vaccination Rates for Current Season |
| Tdap vaccine | 0.66113 |
| HPV vaccine coverage | 0.60972 |
| vaccine finder type | 0.561403 |
| health care provider | 0.546528 |
| vaccine coverage level | 0.571472 |
| pneumococcal vaccine | 0.7956 |
| health care providers | 0.566142 |
| PPSV23 vaccine | 0.544895 |
| percentage point increase | 0.520147 |
| hepatitis A vaccine | 0.537674 |
| shingles vaccine | 0.506523 |
| flu vaccine uptake | 0.578438 |
| vaccine uptick | 0.525868 |
| adult vaccine | 0.701971 |
| vaccine supply | 0.506865 |
| hepatitis b vaccine | 0.604695 |
| adult immunization schedule | 0.483451 |
| adult vaccine quiz | 0.56273 |
| Dr. Carolyn Bridges | 0.578966 |
| health map adult | 0.487442 |
| affordable care act | 0.52632 |
| map adult vaccine | 0.627066 |
| vaccines | 0.700445 |
| Dr. Bridges | 0.568012 |
| adults | 0.613777 |
|
| new vaccine recommendations | 0.534373 |
| TOM SKINNER | 0.689948 |
| flu vaccine | 0.604457 |
| HPV vaccine | 0.638578 |
| Dr. Koh | 0.621971 |
| new vaccine | 0.558892 |
| vaccines. Pneumococcal vaccine | 0.582752 |
| carolyn bridges | 0.899536 |
| tetanus vaccine | 0.562082 |
| vaccine. HPV vaccine | 0.577785 |
| health care | 0.706309 |
| howard koh | 0.595943 |
| vaccine issue | 0.51105 |
| adult vaccine finder. | 0.593971 |
| zoster vaccine coverage | 0.594285 |
| zoster vaccine | 0.717547 |
| particular vaccine | 0.497457 |
| whooping cough | 0.502272 |
| vaccine | 0.990943 |
| vaccine coverage | 0.682539 |
| national adult immunization | 0.537761 |
| adult vaccine finder | 0.62244 |
| vaccine manufacturers | 0.529324 |
| adult vaccine providers | 0.598891 |
|
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| 8084 |
Centers for Disease Control and Prevention |
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QuickStats: Motor Vehicle Traffic Death Rates* Among Persons Aged 15-24 Years, by Sex and Age Group - United States, 1999-2011§ |
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. |
| mmwrq@cdc.gov. | 0.394711 |
| endorsement | 0.33532 |
| Alternate Text | 0.382326 |
| intercensal estimates | 0.39095 |
| Human Services | 0.445179 |
| assistive technology | 0.400023 |
| traffic death rates | 0.703972 |
| motor vehicle traffic | 0.904709 |
| MMWR HTML versions | 0.442292 |
| U.S. Department | 0.441519 |
| electronic PDF version | 0.44015 |
| e-mail | 0.334931 |
| underlying cause | 0.388124 |
| Contact GPO | 0.390757 |
| commercial sources | 0.382725 |
| males | 0.488287 |
| shows motor vehicle | 0.457735 |
| current prices | 0.379075 |
| persons | 0.33293 |
| International Classification | 0.391818 |
| original paper copy | 0.44207 |
| postcensal estimates | 0.391125 |
| United States | 0.386016 |
| original MMWR paper | 0.439874 |
|
| age group | 0.386084 |
| 100,000 | 0.316471 |
| assistance | 0.316995 |
| title | 0.316873 |
| MMWR readers | 0.381716 |
| character translation | 0.379139 |
| file | 0.317076 |
| vehicle traffic death | 0.710302 |
| format errors | 0.376956 |
| females | 0.58289 |
| subject line | 0.398398 |
| Health | 0.326088 |
| typeset documents | 0.380305 |
| trade names | 0.382775 |
| Data | 0.316527 |
| official text | 0.376561 |
| highest rates | 0.461974 |
| non-CDC sites | 0.380163 |
| vehicle traffic deaths | 0.469134 |
| V02–V04 | 0.315886 |
| report | 0.316863 |
| information | 0.317085 |
| Accommodation | 0.316882 |
| electronic conversions | 0.376008 |
|
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Centers for Disease Control and Prevention |
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The Stroke and Heart Attack Prevention Program (SHAPP) Fact Sheet'Data & Statistics'DHDSP'CDC |
null |
| major risk factor | 0.493096 |
| pressure control rates | 0.66124 |
| heart attack | 0.554171 |
| frequent checkups | 0.497156 |
| Research Triangle Institute | 0.491552 |
| above–average blood pressure | 0.50885 |
| national average.4 Statewide | 0.489747 |
| SHAPP district staff | 0.540444 |
| Evidence–based treatment protocols | 0.49043 |
| easy enrollment | 0.492992 |
| Nurse–driven treatment program | 0.50373 |
| SHAPP treatment | 0.495348 |
| private health insurance | 0.501198 |
| Augusta SHAPP | 0.481943 |
| substantial cost differences | 0.486032 |
| SHAPP advocates | 0.489284 |
| fewer adverse events | 0.487652 |
| SHAPP Annual Report | 0.532166 |
| noteworthy blood pressure | 0.517805 |
| SHAPP patients | 0.497113 |
| Ongoing patient follow–up | 0.482947 |
| SHAPP clinic staff | 0.532267 |
| Cost analyses | 0.491307 |
| blood pressure | 0.945326 |
|
| pressure control rate | 0.512626 |
| patients | 0.54379 |
| blood pressure medication | 0.524676 |
| SHAPP staff | 0.491957 |
| Attack Prevention Program | 0.507161 |
| adverse events | 0.491364 |
| SHAPP programs—in | 0.490555 |
| blood pressure control | 0.723252 |
| improved medication compliance | 0.500902 |
| county health departments | 0.499338 |
| in–depth case studies | 0.492828 |
| total annual costs | 0.487857 |
| best–case scenario group | 0.502971 |
| best–case scenario | 0.616818 |
| treatment scenarios | 0.485085 |
| high blood pressure | 0.901023 |
| preventive medical care | 0.486147 |
| SHAPP clinics | 0.489985 |
| median control rate | 0.500274 |
| Better medication compliance | 0.50568 |
| better blood pressure | 0.515038 |
| SHAPP program | 0.484476 |
| SHAPP clients | 0.518385 |
|
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Centers for Disease Control and Prevention |
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FluVaxView Interactive! | FluVaxView | Seasonal Influenza(Flu) | CDC |
FluVaxView interactive reports - CDC |
| influenza vaccination performance | 0.744933 |
| influenza vaccination coverage | 0.976202 |
| age group | 0.427595 |
| personnel group | 0.414857 |
| general population | 0.429618 |
| measurement | 0.317545 |
| Medicaid Services | 0.418939 |
| race/ethnicity | 0.327983 |
| Pregnancy Risk Assessment | 0.500909 |
| Network | 0.31746 |
| Long-Term | 0.321396 |
| National Healthcare Safety | 0.523935 |
| National Immunization Survey-Flu | 0.568495 |
| BRFSS | 0.319326 |
|
| Care Minimum Data | 0.522122 |
| Medicare | 0.327067 |
| NIS-Flu | 0.31948 |
| PRAMS | 0.341 |
| CMS | 0.324311 |
| state levels | 0.546968 |
| NHSN | 0.317432 |
| HCP | 0.350426 |
| Surveillance | 0.323198 |
| sociodemographic characteristics | 0.440861 |
| state level | 0.413897 |
| hospital-based health care | 0.537671 |
| Behavioral Risk Factor | 0.550596 |
|
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| 13893 |
Centers for Disease Control and Prevention |
Html |
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Aspirin Use for the Primary Prevention of Myocardial Infarction Among Men in North Carolina, 2013 |
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. |
| North Carolina | 0.879434 |
| study | 0.32514 |
| heart attack | 0.216152 |
| myocardial infarction | 0.401919 |
| Risk Factor Surveillance | 0.252245 |
| eligible respondents | 0.218882 |
| appropriate aspirin therapy | 0.492005 |
| North Carolina BRFSS | 0.263889 |
| prevalence | 0.222312 |
| high cholesterol | 0.220527 |
| Carolina BRFSS survey | 0.204071 |
| study sample | 0.281568 |
| heart disease | 0.212928 |
| primary prevention | 0.488322 |
| myocardial infarction risk | 0.208611 |
| aspirin | 0.971093 |
| cardiovascular health module | 0.981097 |
| Regular aspirin | 0.402185 |
| MI | 0.346742 |
|
| health care providers | 0.274931 |
| North Carolina Division | 0.229699 |
| low aspirin | 0.398906 |
| public health | 0.305989 |
| Preventive Services Task | 0.203429 |
| health insurance coverage | 0.232984 |
| blood pressure | 0.303561 |
| risk factors | 0.936442 |
| male BRFSS respondents | 0.25577 |
| population aspirin | 0.396942 |
| Services Task Force | 0.20707 |
| risk factor | 0.509922 |
| USPSTF recommendation | 0.401232 |
| respondents | 0.571904 |
| assess aspirin | 0.445391 |
| high blood pressure | 0.292997 |
| Behavioral Risk Factor | 0.256839 |
| high-risk respondents | 0.200627 |
|
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