| 868 |
Centers for Disease Control and Prevention |
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New Study Shows H7N9 Illness Uncommon in China |
New Study by Chinese and CDC experts shows H7N9 illness uncommon in China - CDC |
| H7N9 virus outbreak | 0.496033 |
| H7N9 infections | 0.330158 |
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| collaborative effort | 0.246941 |
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| ILI | 0.892918 |
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| H7N9 cases | 0.304643 |
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| China | 0.465501 |
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| sore throat | 0.267367 |
| CDC Influenza Division | 0.411584 |
| rural areas | 0.280075 |
| sentinel hospitals | 0.466563 |
| health care | 0.412228 |
| H7N9 infection | 0.443802 |
| CDC team | 0.275408 |
| provinces | 0.260958 |
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| patients | 0.415056 |
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| H7N9 virus infection | 0.48507 |
| Illness Surveillance Network | 0.443858 |
| study period | 0.429025 |
| urban areas | 0.280483 |
| medical care | 0.475108 |
| people | 0.237068 |
| Monitoring avian influenza | 0.403007 |
| live bird markets | 0.405509 |
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| H7N9 virus | 0.998935 |
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| H7N9 outbreak | 0.310877 |
| CNISN network | 0.276706 |
| uncommon cause | 0.256206 |
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| Infectious Diseases | 0.255272 |
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Centers for Disease Control and Prevention |
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Use of MenACWY-CRM Vaccine in Children Aged 2 Through 23Months at Increased Risk for Meningococcal Disease: Recommendationsof the Advisory Committee on Immunization Practices, 2013 |
Jessica R. MacNeil, MPH1, Lorry Rubin, MD2, Lucy McNamara, PhD3, Elizabeth C. Briere, MD1, Thomas A. |
| 12-month dose | 0.48809 |
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| United States | 0.519077 |
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| concomitant administration | 0.520784 |
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| Sanofi Pasteur | 0.491663 |
| unpublished data | 0.513063 |
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| risk | 0.505523 |
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Centers for Disease Control and Prevention |
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Multisector Partnerships in Population Health Improvement |
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| community coalitions | 0.353593 |
| Population Health Sciences | 0.396887 |
| sufficient core resources | 0.352673 |
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| research | 0.365686 |
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| health systems | 0.356569 |
| population health | 0.924611 |
| community | 0.484523 |
| newly constituted partnerships | 0.431466 |
| formal partnerships | 0.403535 |
| effective partnerships | 0.462064 |
| health improvement feature | 0.418594 |
| public health agencies | 0.383486 |
| Population Health Institute | 0.434209 |
| partnership contexts | 0.366226 |
| multisector partnerships | 0.944874 |
| better health outcomes | 0.407007 |
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| particular community group | 0.361646 |
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| Community Health project | 0.388234 |
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| effective multisector partnerships | 0.544215 |
| systems | 0.358483 |
| multisector collaborations | 0.382303 |
| formal multisector partnerships | 0.470474 |
| governmental public health | 0.381136 |
| population health improvement | 0.572383 |
| resources | 0.398134 |
| multisector health partnerships | 0.507145 |
| community health promotion | 0.399593 |
| broad population indicators | 0.369013 |
| Wisconsin Population Health | 0.433512 |
| Partnership resources | 0.355142 |
| population-wide health outcomes | 0.407677 |
| population health outcomes | 0.503407 |
| similar partnerships | 0.410372 |
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| community life | 0.361956 |
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Prevention - Rabies |
Basic Information for Protecting Pets and People from Rabies |
| important global source | 0.736807 |
| greatest risk | 0.546362 |
| Africa | 0.349733 |
| good medical care | 0.675938 |
| Severe exposures | 0.567784 |
| rabies | 0.916724 |
| medical care | 0.766172 |
| people | 0.349917 |
| multiple bites | 0.539392 |
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| appropriate medical care | 0.763813 |
| rate | 0.357095 |
| Asia | 0.34964 |
| person | 0.356134 |
| uncontrolled rabies | 0.803369 |
| dogs | 0.3938 |
| Children | 0.346987 |
| high-risk sites | 0.549916 |
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Centers for Disease Control and Prevention |
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Associations of American Indian children's screen-time behavior with parental television behavior, parental perceptions of children's screen time, and media-related resources in the home. |
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| media-related resources | 0.332097 |
| current study | 0.316565 |
| Bright Start | 0.306973 |
| screen time behavior | 0.232252 |
| television behavior | 0.206224 |
| parental bmi | 0.371984 |
| parental role | 0.228118 |
| children’s screen | 0.488336 |
| media-related household resources | 0.265489 |
| child screen | 0.207395 |
| child television time | 0.23106 |
| child’s television | 0.219704 |
| children | 0.628936 |
| American Indian children | 0.400995 |
| video game player | 0.502452 |
| Indian 4-year-old children | 0.20416 |
| young children | 0.22654 |
| obesity prevention | 0.216557 |
| VCR/DVD player | 0.376873 |
| behavior | 0.297067 |
| sedentary behavior | 0.232979 |
| Positive parental involvement | 0.211595 |
| Pine Ridge Reservation | 0.309532 |
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| parental television watching | 0.747728 |
| younger children | 0.221747 |
| Parental role modeling | 0.215868 |
| television watching time | 0.704175 |
| body mass index | 0.297981 |
| Oglala Lakota youth | 0.214202 |
| parental body mass | 0.241419 |
| parental behavior | 0.230484 |
| relative socioeconomic status | 0.24277 |
| home | 0.204668 |
| parental roles | 0.20422 |
| parental perception | 0.33425 |
| parental daily television | 0.252495 |
| screen-time behavior | 0.24419 |
| parental demographic characteristics | 0.223235 |
| daily screen time | 0.211205 |
| television time | 0.254845 |
| screen time | 0.901407 |
| parental perceptions | 0.449944 |
| older children | 0.204107 |
| parental influence | 0.230545 |
| parents | 0.368364 |
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Centers for Disease Control and Prevention |
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Making Food Safer to Eat: Prevention from Farm to Table infographic |
CDC Vital Signs - Breast Cancer |
| raw eggs | 0.535158 |
| foods | 0.393616 |
| Peanut butter crackers | 0.682886 |
| Salmonella Typhimurium | 0.713351 |
| food thermometer | 0.492299 |
| sickness | 0.33749 |
| Employ pre-harvest food | 0.678087 |
| Tainted turkey burgers | 0.674457 |
| Salmonella Enteritidis | 0.955614 |
| Salmonella I,4 | 0.674335 |
| ice cream | 0.620993 |
| Cause | 0.573022 |
| certify managers | 0.483988 |
| trucks | 0.353115 |
| cold shipments | 0.499422 |
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| meats | 0.367695 |
| ground turkey | 0.488255 |
| steps | 0.366311 |
| correct temperatures | 0.491468 |
| restaurants | 0.35082 |
| lbs | 0.338086 |
| chicks | 0.335826 |
| microwaves | 0.336936 |
| Salmonella Hadar | 0.717227 |
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| Puerto Rico | 0.465436 |
| Germs | 0.341343 |
| track shipments | 0.498945 |
| SE control programs | 0.736911 |
| ground product | 0.485438 |
| plant contamination results | 0.795544 |
| contamination work | 0.779571 |
| Cook chicken | 0.496914 |
| power levels | 0.474358 |
| states | 0.392519 |
| 500M eggs | 0.574693 |
| preventive controls | 0.503564 |
| Salmonella Montevideo | 0.680505 |
| Poor kitchen | 0.474039 |
| Frozen pot pies | 0.64002 |
| sure cooking instructions | 0.626173 |
| Risky eggs | 0.591662 |
| poultry houses | 0.491189 |
| egg producers | 0.498946 |
| food safety | 0.639458 |
| separate raw chicken | 0.651588 |
| temperature requirements | 0.494672 |
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Centers for Disease Control and Prevention |
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Creative Brief'Botulism'First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
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| page | 0.276773 |
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For General Healthcare Settings in West Africa: ManagingPatient Flow During Triage, Isolation, and Care of Patients withConfirmed or Suspected Ebola | Ebola Hemorrhagic Fever |CDC |
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| Ebola care centers | 0.548178 |
| PPE removal | 0.489412 |
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Centers for Disease Control and Prevention |
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Announcement: National Fall Prevention Awareness Day -September 23, 2015 |
Annually in the United States, 2.5 million persons aged ?65 years are treated in emergency departments for injuries from falls, resulting in $34 billion in direct medical costs (1). Given these costs, the aging U. |
| healthcare providers | 0.667716 |
| endorsement | 0.568613 |
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| United States | 0.830154 |
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| electronic PDF version | 0.75667 |
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| Aging | 0.53087 |
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| additional falls | 0.666272 |
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| clinical guidelines | 0.657007 |
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| 5-year period | 0.663054 |
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| trade names | 0.646473 |
| commercial sources | 0.646357 |
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| Free online training | 0.784269 |
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| current prices | 0.640549 |
| non-CDC sites | 0.645143 |
| GE Centricity | 0.672671 |
| original paper copy | 0.748161 |
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Evaluation | Gateway to Health Communication | CDC |
Gateway to Health Communication and Social Marketing Practice - CDCynergy Lite, evaluation |
| data | 0.748626 |
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| multiple measures | 0.60208 |
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| numerical data | 0.543797 |
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| intervention | 0.643549 |
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| Evaluation activities | 0.54269 |
| available expertise | 0.542186 |
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