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July 16, 2008: States with Cases of E. coli 0157:H7 Infections with the Outbreak Strain | E. coli CDC |
Get the latest CDC information on the recent infections from fresh spinach, and find out what you can do to protect yourself and your family. |
| USDA-FSIS | 0.327652 |
| CDC | 0.381229 |
| Indiana | 0.326455 |
| illnesses | 0.329905 |
| kidney failure | 0.447285 |
| content | 0.330618 |
| agriculture | 0.349347 |
| number | 0.32666 |
| Outbreak Strain | 0.783772 |
| site navigation | 0.475192 |
| local health jurisdictions | 0.595335 |
| search box | 0.476993 |
| State departments | 0.454036 |
| E. coli | 0.972758 |
| deaths | 0.33137 |
| Outbreak Investigations | 0.599534 |
| New York | 0.451228 |
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| h7 infections | 0.785003 |
| cases | 0.423471 |
| multi-state outbreak | 0.5983 |
| hemolytic-uremic syndrome | 0.465476 |
| median age | 0.455137 |
| Food Safety | 0.459868 |
| patients | 0.348275 |
| HUS | 0.335456 |
| Kentucky | 0.326387 |
| Escherichia coli O157 | 0.756289 |
| Michigan | 0.326318 |
| persons | 0.327374 |
| United States Department | 0.587762 |
| Skip | 0.33701 |
| Georgia | 0.326524 |
| Multistate Outbreak | 0.615042 |
| molecular fingerprinting | 0.465534 |
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Implementing and disseminating an evidence-based program to prevent falls in older adults, Texas, 2007-2009. |
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| master trainers | 0.626127 |
| multivariate analyses | 0.579898 |
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| data | 0.668279 |
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| program | 0.664288 |
| AAA region | 0.54981 |
| evidence-based activity program | 0.542177 |
| administrative data | 0.539857 |
| residential facilities | 0.527507 |
| Local AAA sites | 0.52917 |
| class delivery sites | 0.525294 |
| AMOB/VLL | 0.533203 |
| health care organizations | 0.583494 |
| Balance/Volunteer Lay Leader | 0.718319 |
| lay leaders | 0.583308 |
| delivery sites | 0.560873 |
| classes | 0.541953 |
| baseline assessment data | 0.552114 |
| evidence-based fall-prevention program | 0.547916 |
| Aging Evidence-Based Disease | 0.549382 |
| falls efficacy | 0.550161 |
| Texas Falls Prevention | 0.908461 |
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| Texas Association | 0.675862 |
| Falls Prevention Coalition | 0.801329 |
| Lay Leader model | 0.715299 |
| outcome variables | 0.531516 |
| program coordinators | 0.529519 |
| senior centers | 0.52692 |
| public health | 0.59792 |
| participants | 0.667695 |
| health promotion programs | 0.576809 |
| AAA site | 0.626794 |
| older Texas residents | 0.531497 |
| A&M Health Science | 0.702635 |
| Texas A&M Health | 0.666245 |
| postintervention data | 0.563585 |
| physical activity | 0.574297 |
| AAA sites | 0.556866 |
| Health Science Center | 0.701592 |
| Likert-type scale items | 0.542679 |
| public health problem | 0.533348 |
| evidence-based programs | 0.534944 |
| Prevention Grant Program | 0.531455 |
| Area Agencies | 0.748375 |
| older adults | 0.570941 |
| aging | 0.576316 |
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Influenza Transmission Workshop, November 2010 |
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| Breakout Group Structure | 0.487873 |
| MS Word version | 0.698967 |
| Clifton Rd | 0.246066 |
| navigation Skip | 0.378621 |
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| Disease Control | 0.595897 |
| Influenza Transmission Workshop | 0.779305 |
| page options | 0.248525 |
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| Dr. David Weissman | 0.42302 |
| Print page | 0.227609 |
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| Workshop Agenda | 0.276607 |
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| email updates | 0.220966 |
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| Clifton Road Atlanta | 0.378266 |
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| CDC Flu | 0.460436 |
| Workshop Introduction | 0.430717 |
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Global Health - South Africa - CDC's HIV/AIDS Care and Treatment Programs: HIV Care and Support |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
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| overwhelming emotions | 0.228996 |
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| U.S. Centers | 0.212208 |
| comprehensive HIV care | 0.373521 |
| vital care | 0.23074 |
| implement standards | 0.210378 |
| HIV package | 0.270488 |
| HIV care package | 0.457363 |
| support programs | 0.20759 |
| nutrition counseling | 0.200222 |
| Disease Control | 0.212115 |
| Health-care providers | 0.209835 |
| preventive care services | 0.312033 |
| quality HIV | 0.287316 |
| comprehensive services | 0.209182 |
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| support services | 0.295111 |
| vulnerable children | 0.211902 |
| holistic approach | 0.203811 |
| palliative care service | 0.320181 |
| Global AIDS Program | 0.298893 |
| support groups | 0.26528 |
| people | 0.230332 |
| provincial departments | 0.201611 |
| psychosocial support | 0.212157 |
| treatment adherence counseling | 0.289043 |
| non-federal site | 0.205215 |
| National Department | 0.211308 |
| clinical settings | 0.200858 |
| CDC South Africa | 0.935863 |
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No Financial Disincentive for Choosing More Healthful Entrées on Children's Menus in Full-Service Restaurants - Preventing Chronic Disease - CDC |
Children are eating restaurant foods more than ever before, and price is among the top considerations for food choices. We categorized and enumerated entrées on children’s menus from 75 full-service restaurant chains to compare prices of more healthful and less healthful entrées to test the assumption that more healthful food is more expensive. |
| restaurant chains | 0.521886 |
| daily entrée soup | 0.359908 |
| Environment Measures Study | 0.355215 |
| Salad entrées | 0.358765 |
| food choices | 0.36176 |
| low-fat dairy products | 0.351207 |
| red meat | 0.349801 |
| mean price | 0.399011 |
| research team | 0.356143 |
| children | 0.486054 |
| healthful versus | 0.541398 |
| price | 0.466182 |
| chicken fingers | 0.358999 |
| proximal restaurant outlets | 0.357991 |
| North American Industry | 0.356608 |
| healthful items | 0.562676 |
| chicken entrées | 0.355313 |
| Little Rock area | 0.356501 |
| Tennessee Health Science | 0.350724 |
| nonsalad entrées | 0.350712 |
| traditional handheld menu | 0.355472 |
| Rebecca A. Krukowski | 0.350264 |
| children’s entrées | 0.367272 |
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| Children’s Menu | 0.438143 |
| full-service restaurant chains | 0.458801 |
| healthful food | 0.604024 |
| menu entrées | 0.364752 |
| location-based price differences | 0.360714 |
| W. Boozman College | 0.350036 |
| full-service restaurants | 0.362133 |
| grocery stores | 0.361497 |
| children’s menus | 0.480035 |
| healthful entrée salad | 0.656191 |
| American children | 0.352091 |
| entrée price | 0.35045 |
| potential price differences | 0.360409 |
| healthful components | 0.559011 |
| full-service restaurant children | 0.378669 |
| healthful choice | 0.604199 |
| restaurants | 0.387376 |
| top-grossing restaurant chains | 0.373678 |
| healthful foods | 0.643531 |
| healthful entrée | 0.756809 |
| healthful choices | 0.542193 |
| Little Rock | 0.407619 |
| healthful entrées | 0.937647 |
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Vital Signs - Breast Cancer |
CDC Vital Signs - Breast Cancer |
| benefits | 0.431552 |
| breast ultrasound | 0.564449 |
| upcoming appointments | 0.551144 |
| close friends | 0.92654 |
| questions | 0.553994 |
| appointment | 0.672724 |
| language | 0.43446 |
| fears | 0.433709 |
| good decisions | 0.558995 |
| good clinic record | 0.69102 |
| patient navigator | 0.65406 |
| Refer | 0.437429 |
| mammogram appointment | 0.632253 |
| best treatment options | 0.702297 |
| patient | 0.768234 |
| nurse | 0.477999 |
| follow-up appointments | 0.583411 |
| right age | 0.547935 |
| results | 0.687439 |
| upcoming appointment | 0.579455 |
| test | 0.624663 |
| work | 0.468311 |
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| patients | 0.465838 |
| testing | 0.44793 |
| breast cancer | 0.546048 |
| Talk | 0.536005 |
| concerns | 0.474153 |
| steps | 0.472382 |
| nurses | 0.430926 |
| necessary therapy | 0.556254 |
| home | 0.434476 |
| doctor | 0.676471 |
| cultural barriers | 0.563442 |
| concerns—costs | 0.4313 |
| family support | 0.557646 |
| mammogram results | 0.597821 |
| office staff | 0.545479 |
| Schedule | 0.46725 |
| biopsy | 0.438859 |
| step | 0.433122 |
| risk | 0.431598 |
| cancer specialist | 0.822383 |
| follow-up appointment | 0.580716 |
| account | 0.434412 |
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Centers for Disease Control and Prevention |
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Food and Water - Risky vs. Safer (600W x 600H) |
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| Adobe Fireworks CS5.1 | 0.995655 |
| Ф€ !1AQ№•ЂÐ?q | 0.520907 |
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Take 3 (:60) |
Wes Studi, Hollywood actor, urges tribal communities to Take 3: get flu vaccinations, prevent germ spread and take antivirals. |
| Hollywood actor | 0.605258 |
| best way | 0.602375 |
| H1N1 virus | 0.602662 |
| feedback | 0.435865 |
| variety | 0.468518 |
| children | 0.466527 |
| Cherokee tribal member | 0.77422 |
| Wes Studi | 0.644985 |
| safety | 0.468322 |
| different audiences | 0.804032 |
| public health professionals | 0.946152 |
| CDC-TV videos | 0.72212 |
| National Center | 0.592738 |
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| germs | 0.458785 |
| Immunization | 0.449579 |
| Alaska Natives | 0.622225 |
| tribal communities | 0.592784 |
| families | 0.434573 |
| flu | 0.446467 |
| spread | 0.438995 |
| American Indians | 0.608109 |
| preparedness topics | 0.823717 |
| Respiratory Diseases | 0.601874 |
| comment | 0.438001 |
| Release Date | 0.601911 |
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Health Promotion Interventions for Low-Income CaliforniansThrough Medi-Cal Managed Care Plans, 2012 |
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. |
| health education | 0.394734 |
| VA Health Care | 0.374556 |
| Medicaid health plans | 0.375627 |
| Health Insurance Program | 0.374088 |
| Medi-Cal Managed Care | 0.42653 |
| health care delivery | 0.397627 |
| median Medi-Cal member | 0.410308 |
| positive health outcomes | 0.36411 |
| health condition management | 0.41403 |
| California Davis Health | 0.384846 |
| lead health educators | 0.476774 |
| health promotion literature | 0.362812 |
| MCPs | 0.500677 |
| commercial health plans | 0.408994 |
| population health | 0.531864 |
| managed care plans | 0.368399 |
| impact health promotion | 0.38929 |
| health promotion services | 0.394643 |
| MCP health education | 0.380174 |
| health education programs | 0.369431 |
| Medi-Cal member participation | 0.388586 |
| health promotion interventions | 0.625835 |
| California Department | 0.45975 |
| disease category | 0.376545 |
|
| community health promotion | 0.370855 |
| Health Care Services | 0.699623 |
| systemwide health promotion | 0.37147 |
| health promotion | 0.987164 |
| MCPs assess health | 0.43794 |
| alcohol abuse prevention | 0.443628 |
| health promotion intervention | 0.440764 |
| disease prevention | 0.366035 |
| Medi-Cal members | 0.797653 |
| community activities | 0.391376 |
| public health | 0.376442 |
| Fenton. Health care | 0.367538 |
| health promotion programs | 0.435144 |
| disease | 0.396573 |
| general health promotion | 0.376809 |
| Population Health Improvement | 0.362496 |
| lead health educator | 0.521905 |
| health education systems | 0.368312 |
| physical activity | 0.469075 |
| care plans | 0.447865 |
| health promotion efforts | 0.369507 |
| greatest impact | 0.445672 |
| preventive services | 0.470483 |
| community assistance programs | 0.449102 |
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The Shift From Personalized Medicine to Precision Medicine and Precision Public Health | Genomics and Health Impact Blog |
CDC - Blogs - Genomics and Health Impact Blog – The Shift From Personalized Medicine to Precision Medicine and Precision Public Health: Words Matter!Genomics and Health Impact Blog - Genomics and Health Impact Blog |
| disease treatment | 0.575259 |
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| disease pathogenesis | 0.56544 |
| prominent example | 0.5901 |
| health outcomes | 0.571903 |
| disease biology | 0.562128 |
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| scientific understanding | 0.552053 |
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| Chief Executive Officer | 0.579555 |
| new targeted therapy | 0.584766 |
| n’t medicine | 0.591656 |
| new computational tools | 0.588564 |
| molecular information | 0.556991 |
| DTC genetic tests | 0.59853 |
| Dr. Sue Desmond-Hellmann | 0.58287 |
| accelerated search | 0.551715 |
| improve health equity | 0.604722 |
| frequently encountered point | 0.594606 |
| disease outbreak sources | 0.598727 |
| right medicine | 0.578425 |
| new era | 0.558583 |
| precision medicine | 0.976796 |
| NRC report | 0.596593 |
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| significant growth | 0.554235 |
| molecular biology | 0.553274 |
| human disease | 0.602004 |
| Advanced Molecular Detection | 0.587222 |
| States Precision Medicine | 0.668862 |
| health outcomes. | 0.574804 |
| new taxonomy | 0.552325 |
| comprehensive disease classification | 0.608661 |
| Institute Public Health | 0.618764 |
| simple shift | 0.552091 |
| heart disease | 0.561975 |
| public health | 0.848248 |
| precision public health | 0.738393 |
| terms precision | 0.594731 |
| National Research Council | 0.594856 |
| non-personalized interventions | 0.552359 |
| prominent shift | 0.561057 |
| personalized medicine | 0.662805 |
| important conceptual shift | 0.600016 |
| precision approach | 0.577894 |
| complex life course | 0.586511 |
| highly personalized test | 0.635096 |
| genetic testing | 0.552546 |
| participatory medicine | 0.598339 |
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