| 5094 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, May 17, 2010 |
null |
| gynecological health care | 0.425059 |
| current awareness | 0.305556 |
| Bogalusa Heart Study | 0.448209 |
| health education needs | 0.427769 |
| intergenerational transfer | 0.318304 |
| Disease Control | 0.304665 |
| Hintz PJ | 0.325582 |
| Ann Occup Hyg. | 0.601071 |
| CDC Knowledge | 0.592138 |
| Brucella inopinata sp. | 0.425976 |
| HIV status | 0.322148 |
| Hoover DM | 0.315977 |
| Action Science Clips | 0.953991 |
| breast implant infection | 0.398281 |
| Laboratory services | 0.312139 |
| factual accuracy | 0.308223 |
| Inhorn SL | 0.307259 |
| Hauser AR | 0.3152 |
| Chief Science Officer | 0.445827 |
| policy change | 0.319803 |
| national surveys | 0.307412 |
| gestational diabetes mellitus | 0.408629 |
| Clin Infect Dis. | 0.431915 |
| DHHS | 0.32992 |
| public domain | 0.337646 |
|
| Stephen B. Thacker | 0.648945 |
| Diaz MH | 0.318676 |
| Culex mosquitoes | 0.323482 |
| Wilcke Jr BW | 0.408056 |
| skinfold thicknesses | 0.338464 |
| United States | 0.320058 |
| mobile services | 0.320101 |
| CDC case study | 0.588335 |
| middle-aged adults | 0.336171 |
| African American women | 0.415089 |
| East Baton Rouge | 0.391699 |
| Ann Hum Biol. | 0.433888 |
| federal partners | 0.316952 |
| public health literature | 0.411968 |
| status report | 0.311916 |
| B. Thacker CDC | 0.813203 |
| original authors | 0.309584 |
| non-CDC Websites | 0.306018 |
| HIV counseling | 0.319177 |
| scientific basis | 0.31273 |
| original sources | 0.339382 |
| isolation precautions | 0.317566 |
| Hurricane Katrina evacuees | 0.419237 |
| news sources | 0.312557 |
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Centers for Disease Control and Prevention |
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Avian Influenza A H5N1 Genetic Changes Inventory |
H5N1 Genetic Changes Inventory: A Tool for International Surveillance - CDC |
| H5N1 viruses | 0.91668 |
| CDC | 0.403783 |
| susceptibility | 0.358323 |
| actual list | 0.493899 |
| antiviral drugs | 0.521487 |
| pandemic preparedness efforts | 0.669433 |
| HPAI | 0.34256 |
|
| international surveillance | 0.49134 |
| influenza A H5N1 | 0.741179 |
| pathogenic avian influenza | 0.801856 |
| person | 0.387618 |
| public health agencies | 0.655135 |
| H5N1 genetic changes | 0.796346 |
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| 9441 |
Centers for Disease Control and Prevention |
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Artritis en la población indígena canadiense: Diferencias entre las áreas del norte y del sur en prevalencia y correlatos |
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| La prevalencia | 0.370792 |
| múltiples grupos | 0.302476 |
| Naciones Originarias | 0.476496 |
| metodologÃa detallada | 0.302277 |
| fumar cigarrillos | 0.302744 |
| Templin DW | 0.302178 |
| Preventing Chronic Disease | 0.315295 |
| Inuit canadienses | 0.304331 |
| Alaska Native | 0.302146 |
| menor proporción | 0.303536 |
| Slattery ML | 0.302148 |
| menor prevalencia | 0.334051 |
| Nueva Escocia | 0.305712 |
| siguientes grupos | 0.302563 |
| grupos indÃgenas —Inuit | 0.30646 |
| Canadian Arthritis Network | 0.304505 |
| British Columbia | 0.313427 |
| población indÃgena | 0.970327 |
| Aboriginal ancestry | 0.302499 |
| Kue Young | 0.302247 |
| Statistics Canada | 0.372258 |
| salud pública | 0.339685 |
| Canada M5T | 0.303553 |
| amplio alcance | 0.302404 |
| población femenina frente | 0.309758 |
|
| Chronic Dis Can | 0.305191 |
| PrÃncipe Eduardo | 0.306326 |
| Arthritis Rheum | 0.30325 |
| Nortea Surb | 0.302587 |
| origen inuit | 0.304011 |
| origen yupik | 0.302363 |
| estadÃsticas statistics canada | 0.306902 |
| nacionales —la | 0.302579 |
| Goring WP | 0.302157 |
| menor frecuencia | 0.302587 |
| Salud Pública Dalla | 0.305351 |
| norte frente | 0.304709 |
| SAS Institute | 0.302276 |
| menor tasa | 0.302609 |
| Aboriginal Manitobans | 0.302412 |
| diagnósticos autorreportados | 0.302567 |
| Hombre Mujer | 0.305383 |
| chronic diseases | 0.325169 |
| mayores probabilidades | 0.30763 |
| alimentos campestres | 0.302493 |
| Aboriginal Arthritis Research | 0.304779 |
| Salud Circumpolar | 0.303517 |
| programa sas | 0.302246 |
| Nuevo Brunswick | 0.305976 |
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Centers for Disease Control and Prevention |
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Mental Health Basics - Mental Health |
null |
| common type | 0.561667 |
| U.S. adult population.3 | 0.614737 |
| Health Services Administration | 0.645576 |
| equitable jobs | 0.558162 |
| mental health | 0.993118 |
| ischemic heart disease | 0.620773 |
| Human Services | 0.597993 |
| personal self-worth | 0.562429 |
| Prev Chronic Dis | 0.609199 |
| risk behaviors | 0.55942 |
| Arch Gen Psychiatry | 0.597373 |
| general health | 0.60107 |
| U.S. Department | 0.59825 |
| social determinants | 0.606017 |
| term mental health | 0.715604 |
| health outcomes | 0.610841 |
| National Comorbidity Survey | 0.611356 |
| social acceptance | 0.56084 |
| depressive disorders | 0.617243 |
| health conditions | 0.605965 |
| life satisfaction | 0.557637 |
| normal stresses | 0.563684 |
| World Health Organization | 0.815959 |
| mental illness | 0.810801 |
| public health arena | 0.650328 |
|
| 12-month DSM-IV disorders | 0.613175 |
| insufficient sleep | 0.560921 |
| different psychological states | 0.623855 |
| chronic disease | 0.61158 |
| Social well–being | 0.560671 |
| quality health care | 0.647281 |
| Soc Psychol Quart | 0.615651 |
| successful treatment | 0.558045 |
| mental health promotion | 0.753692 |
| diagnosable mental disorders | 0.659993 |
| quality education | 0.557883 |
| TW.The vital link | 0.596242 |
| Chiu WT | 0.558557 |
| excessive drinking | 0.557398 |
| National Institute | 0.557137 |
| cardiovascular disease | 0.564568 |
| chronic diseases | 0.566377 |
| positive mental health | 0.709858 |
| adequate housing | 0.558354 |
| Pers Soc Psychol | 0.69158 |
| U.S adults | 0.565876 |
| optimal mental health.2 | 0.662232 |
| surgeon general notes | 0.607866 |
| Mental Health Services | 0.715276 |
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| 10604 |
Centers for Disease Control and Prevention |
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What CDC Is Doing About Breast Cancer in Younger Women |
CDC works with public, non-profit, and private partners to address breast cancer in women. |
| young women | 0.636958 |
| public health intervention | 0.457883 |
| CDC | 0.456473 |
| breast cancer survivorship | 0.524789 |
| state health departments | 0.445764 |
| breast health | 0.51725 |
| health care providers | 0.445608 |
| support services | 0.483299 |
| cooperative agreement | 0.475465 |
| breast cancer treatment | 0.525057 |
| younger women | 0.463631 |
| younger breast cancer | 0.53345 |
| cancer genomic practices | 0.457012 |
| public health communication | 0.484422 |
| breast cancer survivors | 0.811697 |
| Public Health Genomics | 0.455579 |
| survivorship support resources | 0.449458 |
| breast cancer death | 0.534577 |
| additional breast cancer | 0.537035 |
| Health insurance coverage | 0.449256 |
| high risk | 0.45593 |
| health care actions | 0.449568 |
| breast cancer genomics | 0.523497 |
| genomics best practices | 0.475913 |
| hereditary breast | 0.488005 |
|
| study | 0.444345 |
| United States | 0.449335 |
| young women ages | 0.461647 |
| breast cancer diagnosis | 0.525962 |
| Environmental Health Sciences | 0.453944 |
| genetic counseling | 0.463432 |
| risk assessment tools | 0.47753 |
| reproductive health support | 0.471924 |
| environmental risk factors | 0.446995 |
| ovarian cancer risk | 0.464357 |
| social media | 0.470422 |
| breast cancer awareness | 0.522446 |
| public health | 0.505074 |
| young breast cancer | 0.705722 |
| breast cancer risk | 0.528602 |
| health insurance plans | 0.449284 |
| economic impact | 0.46299 |
| breast cancer | 0.99102 |
| appropriate support services | 0.444736 |
| Alaska Native women | 0.453828 |
| breast cancer mortality | 0.534687 |
| breast cancer cases | 0.525042 |
| poorer general health | 0.450088 |
| psychosocial support services | 0.448872 |
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Centers for Disease Control and Prevention |
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NCIRD | DBD Bulletin Summer 2012 | Meningitis in Africa |
Division of Bacterial Diseases Bulletin Summer 2012 |
| NCIRD Director Anne | 0.356255 |
| CDC Director | 0.326576 |
| epidemic meningitis | 0.916157 |
| meningitis prevention spans | 0.590129 |
| staging mass vaccination | 0.400084 |
| Tiga Felix Tarbangdo | 0.361621 |
| Vaccine Preventable Diseases | 0.419924 |
| Melinda Gates Foundation | 0.3664 |
| vaccine campaigns | 0.355278 |
| Team West Africa | 0.376409 |
| key surveillance components | 0.368965 |
| MVPDB’s Jarad | 0.32466 |
| Men A meningitis | 0.497987 |
| Sema Mandal | 0.39081 |
| Burkina Faso Ministry | 0.45133 |
| additional hyper-endemic countries | 0.360375 |
| local health authorities | 0.390081 |
| ICIED Leaders program | 0.368335 |
| African Meningitis Belt | 0.556808 |
| Public Health Laboratory | 0.387668 |
| Health Protection Agency | 0.406977 |
| MenAfriVacâ„¢ vaccine | 0.346265 |
| real-time PCR training | 0.353966 |
| Public Health Laboratories | 0.378265 |
| current laboratory environment | 0.355571 |
|
| Meningitis Belt | 0.688657 |
| mass vaccination campaigns | 0.665625 |
| CDC Nigeria | 0.36511 |
| MVPDB’s Ryan | 0.317361 |
| seconded epidemiologist Fabien | 0.368488 |
| sub-Saharan Africa | 0.486571 |
| vaccination programs | 0.318258 |
| bacterial meningitis | 0.492979 |
| public health concern | 0.401909 |
| Info training program | 0.369877 |
| lowest annual incidence | 0.36435 |
| public health | 0.435053 |
| sporadic explosive epidemics | 0.397984 |
| MVPDB staff work | 0.41589 |
| conjugate vaccine | 0.344703 |
| Ryan Novak | 0.544236 |
| health expenditures | 0.334316 |
| meningitis cases | 0.531523 |
| vaccine coverage | 0.329185 |
| Burkina Faso | 0.792666 |
| mass campaigns | 0.333781 |
| meningitis season | 0.499742 |
| quality surveillance data | 0.386217 |
| health systems research | 0.376348 |
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Preventing Chronic Disease | Community-Based Interventions to Improve Outcomes for Cardiovascular Disease [Letter] - CDC |
We applaud Oldenburg and colleagues for the successful implementation of a community-based intervention to curtail cardiovascular disease |
| heart attack | 0.388478 |
| various meta-analyses | 0.385284 |
| major CVD events | 0.553799 |
| modest increases | 0.37716 |
| primary CVD prevention | 0.592897 |
| slight reduction | 0.397864 |
| post-AMI mortality | 0.397688 |
| myocardial infarction | 0.386049 |
| Jackson Memorial Hospital | 0.439004 |
| Drug Administration | 0.383095 |
| hemorrhagic stroke | 0.380647 |
| successful implementation | 0.387602 |
| Bayer Healthcare | 0.383746 |
| clinical outcomes | 0.386054 |
| primary prevention | 0.909215 |
| aspirin | 0.77426 |
| Oldenburg | 0.386812 |
| aspirin therapy | 0.5869 |
| increased risk | 0.393602 |
| Preventive Services Task | 0.607494 |
| lesser role | 0.376787 |
| cardiovascular disease | 0.390721 |
| better risk-to-benefit profile | 0.440778 |
| potential success | 0.373817 |
|
| secondary prevention | 0.385729 |
| Kyle A. Davis | 0.428959 |
| community-based program | 0.382683 |
| absolute risk reduction | 0.476309 |
| Services Task Force | 0.605774 |
| absolute reduction | 0.434745 |
| adverse events | 0.427423 |
| atherosclerotic events | 0.388789 |
| statin therapy | 0.464453 |
| gastrointestinal bleeding | 0.381804 |
| CVD | 0.638067 |
| community-based interventions | 0.376896 |
| negative CVD outcomes | 0.572003 |
| intracranial hemorrhage | 0.381002 |
| low-dose aspirin | 0.573509 |
| statins | 0.421884 |
| patient factors | 0.377495 |
| colleagues | 0.45022 |
| all-cause mortality | 0.408883 |
| Marta A. Miyares | 0.433022 |
| community-based intervention | 0.399903 |
| confidence interval | 0.383975 |
| modest improvement | 0.383814 |
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Vital Signs: HIV Diagnosis, Care, and Treatment AmongPersons Living with HIV - United States, 2011 |
On November 25, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Medical Monitoring Project | 0.212876 |
| new HIV infections | 0.287747 |
| ART | 0.232148 |
| United States | 0.357937 |
| undiagnosed HIV infections | 0.320093 |
| early HIV treatment | 0.232422 |
| HIV medical care | 0.938716 |
| hiv diagnosis | 0.332324 |
| National HIV Surveillance | 0.291029 |
| HIV surveillance data | 0.231562 |
|
| persons | 0.402283 |
| viral load | 0.396811 |
| undiagnosed HIV infection | 0.239988 |
| HIV viral load | 0.264694 |
| viral suppression | 0.573241 |
| HIV testing | 0.241816 |
| HIV care continuum | 0.597636 |
| HIV infection | 0.491408 |
| HIV transmission | 0.279298 |
|
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Progress Toward Poliomyelitis Eradication - Afghanistan,January 2014-August 2015 |
Chukwuma Mbaeyi, DDS1; Akif Saatcioglu, MD2; Rudolf H. Tangermann, MD2; Stephen Hadler, MD3; Derek Ehrhardt, MPH, MSN1. |
| global polio eradication | 0.826552 |
| supplementary immunization activities | 0.580868 |
| Kandahar Province | 0.546287 |
| poliovirus transmission | 0.636747 |
| vaccination campaigns | 0.596797 |
| sewage samples | 0.584346 |
| environmental surveillance | 0.580545 |
| Emergency Action Plan | 0.753996 |
| SIAs | 0.719414 |
| AFP cases | 0.542671 |
| polio eradication activities | 0.862633 |
| Eastern Region | 0.595945 |
| children | 0.832941 |
| routine immunization | 0.845623 |
| conflict-affected Southern Region | 0.57299 |
| national Polio Eradication | 0.661483 |
| WPV1 cases | 0.819141 |
| National Emergency Action | 0.752899 |
| routine immunization services | 0.675453 |
| Chukwuma Mbaeyi | 0.540545 |
| Polio Eradication Initiative | 0.727008 |
| Farah Province | 0.60043 |
| World Health Organization | 0.600062 |
| polio cases | 0.562834 |
|
| critical regions | 0.542065 |
| house-to-house SIAs | 0.554133 |
| indigenous poliovirus transmission | 0.595109 |
| 1Global Immunization Division | 0.544626 |
| polio transmission | 0.556916 |
| national routine vaccination | 0.573691 |
| routine immunization coverage | 0.561982 |
| Afghanistan | 0.697213 |
| regions | 0.600561 |
| Eastern regions | 0.542605 |
| polio eradication | 0.995973 |
| oral poliovirus vaccine | 0.776839 |
| permanent polio teams | 0.572634 |
| supervise SIAs | 0.567068 |
| routine OPV3 coverage | 0.550888 |
| national polio EOC | 0.584005 |
| Polio Eradication Department | 0.6044 |
| Southern Region | 0.881854 |
| Western Region | 0.714805 |
| permanent transit teams | 0.610842 |
| routine immunization activities | 0.56436 |
| accessible areas | 0.678487 |
| acute flaccid paralysis | 0.652692 |
| Global Polio Laboratory | 0.571606 |
|
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Pneumonia Can Be Prevented-Vaccines Can Help | CDC Features |
Lower your risk of pneumonia with vaccines. |
| pneumococcus | 0.323659 |
| recent PPSV23 dose | 0.532382 |
| lungs | 0.350676 |
| Lower your risk | 0.413474 |
| healthcare facility | 0.394047 |
| pneumococcal conjugate vaccine | 0.507302 |
| viruses | 0.360116 |
| PCV13 | 0.326995 |
| healthy living practices | 0.509372 |
| Certain people | 0.402297 |
| tuberculosis | 0.320275 |
| vaccine information statements | 0.506842 |
| sick people | 0.426518 |
| United States—could | 0.406895 |
| ventilator-associated pneumonia | 0.716979 |
| germ | 0.320783 |
| commonly cause pneumonia | 0.797562 |
| respiratory infections | 0.404112 |
| Streptococcus pneumoniae | 0.402736 |
| millions | 0.320713 |
| pneumococcal polysaccharide vaccine | 0.509891 |
| respiratory syncytial virus | 0.475983 |
| antibiotics | 0.319978 |
| Common signs | 0.396082 |
| public health issue | 0.495493 |
|
| doses | 0.320864 |
| United States | 0.676726 |
| vaccines | 0.407359 |
| common side effects | 0.399677 |
| hospital-acquired pneumonia | 0.724926 |
| trouble breathing | 0.395724 |
| daily activities | 0.406902 |
| pneumonia | 0.980494 |
| certain health conditions | 0.470653 |
| bacterial pneumonia | 0.707375 |
| common cause | 0.399222 |
| long-term care facilities | 0.471509 |
| community-acquired pneumonia | 0.730855 |
| people | 0.433755 |
| younger age | 0.398668 |
| viral pneumonia | 0.708721 |
| stay | 0.322101 |
| appropriate treatment | 0.403792 |
| dialysis centers | 0.396863 |
| infectious disease | 0.404648 |
| common causes | 0.393445 |
| healthcare-associated pneumonia | 0.717705 |
| healthcare settings | 0.390662 |
| severe illness | 0.393969 |
|
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