| 781 |
Centers for Disease Control and Prevention |
Html |
en |
CDC's Youth Risk Surveys | CDC Features |
CDC supports adolescent and school health efforts using three state-of-the-art monitoring systems designed to collect, analyze, and disseminate data on youth risk behaviors and school health policies and practices. |
| important public health | 0.236299 |
| minority high school | 0.216269 |
| large urban school | 0.284987 |
| CDC | 0.224674 |
| local youth health | 0.269675 |
| data | 0.244755 |
| priority health risk | 0.457914 |
| United States | 0.23481 |
| school health efforts | 0.292517 |
| health protection efforts | 0.225875 |
| local school health | 0.277643 |
| sexual behaviors | 0.208879 |
| health risk behaviors | 0.947796 |
| negative health outcomes | 0.224148 |
| school health programs | 0.28987 |
| national health objectives | 0.225883 |
| School Health Profiles | 0.32124 |
| urban school districts | 0.281276 |
| youth health risk | 0.449672 |
| School health education | 0.261551 |
| Youth Risk Behavior | 0.332679 |
| health behaviors increase | 0.287851 |
|
| community health organizations | 0.248713 |
| local education agencies | 0.211808 |
| national YRBS data | 0.202863 |
| public health | 0.277205 |
| priority health-related behaviors | 0.245431 |
| school policies | 0.20992 |
| ongoing data collection | 0.202245 |
| lead health education | 0.230285 |
| school health practices | 0.297561 |
| National Youth Risk | 0.215024 |
| high school students | 0.411112 |
| school health program | 0.251594 |
| health agencies | 0.21738 |
| school health policies | 0.897075 |
| U.S. high school | 0.219059 |
| youth risk behaviors | 0.294341 |
| school board members | 0.306479 |
| Risk Behavior Surveillance | 0.255533 |
| unhealthy dietary behaviors | 0.240535 |
| education professionals | 0.201538 |
| health risks | 0.219644 |
|
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| 926 |
Centers for Disease Control and Prevention |
Html |
en |
H7N9 Case Detected in Malaysia |
H7N9 Case Detected in Malaysia - CDC |
| risk assessment | 0.786511 |
| CVV | 0.445898 |
| avian influenza | 0.563111 |
| CDC | 0.487944 |
| poultry exposure | 0.655622 |
| traveler | 0.608129 |
| evidence | 0.452534 |
| United States | 0.539506 |
| human cases | 0.631417 |
| birds | 0.426311 |
| H7N9 case | 0.547669 |
| H7N9 vaccine | 0.541132 |
| global outbreak | 0.52803 |
| human-to-human spread | 0.572803 |
| neighboring countries | 0.524943 |
| international partners | 0.518391 |
| international surveillance | 0.647656 |
| scenario | 0.425549 |
| China | 0.760647 |
| continue | 0.42441 |
| infected poultry | 0.558357 |
| U.S. Government | 0.530856 |
| new H7N9 virus | 0.886318 |
| H7N9 situation | 0.537505 |
|
| clinical trials | 0.5278 |
| public health risk | 0.629054 |
| candidate vaccine virus | 0.668325 |
| event | 0.424029 |
| routine preparedness actions | 0.632446 |
| area | 0.426085 |
| detection | 0.452809 |
| suitability | 0.426514 |
| contaminated environments | 0.542127 |
| people | 0.452743 |
| limited amounts | 0.529473 |
| symptoms | 0.42906 |
| human infections | 0.651184 |
| new virus | 0.558608 |
| influenza viruses | 0.666796 |
| transmissibility | 0.425117 |
| important factor | 0.532534 |
| pandemic potential | 0.785168 |
| ongoing person-to-person spread | 0.909229 |
| H7N9 | 0.887027 |
| Malaysian Ministry | 0.555623 |
| time | 0.481127 |
| threat | 0.425133 |
|
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| 1214 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Farmers™ Perceptions of Local Food Procurement, Mississippi, 2013 - CDC |
We sought to understand the experiences and perceptions of food producers regarding food procurement programs for local institutions. A total of 72 (45%) Mississippi fruit and vegetable growers completed a mailed survey, and of those that reported selling to local businesses and institutions (54%), few were selling to schools (13%). The primary motivations to sell to institutions were to increase profits (67%) and to improve nutrition within their communities (57%), while the most commonly reported barrier was a lack of knowledge about how to sell to institutions (39%). Farm to institution programs must develop evidence-based practices designed to address barriers to producers’ participation in local institutional food procurement programs. |
| F2I programs | 0.630291 |
| additional perceived barriers | 0.630257 |
| Mississippi growers | 0.702862 |
| noninstitutional local purchasers | 0.654712 |
| local institutional food | 0.97678 |
| vegetable growers | 0.904202 |
| Disease Control | 0.711309 |
| school | 0.657504 |
| Harvest (http://www.localharvest.org). | 0.656093 |
| MBK Institutional Review | 0.618745 |
| food procurement expand | 0.680233 |
| contact information | 0.65975 |
| commonly reported barrier | 0.632489 |
| Delta Directions | 0.610936 |
| food safety certification | 0.648709 |
| local schools | 0.656816 |
| cross-sectional survey design | 0.635011 |
| local growers | 0.681629 |
| farm-to-school programs | 0.620824 |
| personal contact information | 0.612908 |
| Mississippi Food Policy | 0.677303 |
| F2S programs | 0.627987 |
| food procurement experts | 0.671466 |
| Good Agricultural Practices | 0.61191 |
|
| local food products | 0.691137 |
| local food | 0.7447 |
| Green Mountain Farm | 0.633732 |
| United States | 0.615045 |
| agricultural practices | 0.612603 |
| disease prevention interventions | 0.617374 |
| local businesses | 0.663243 |
| local community | 0.614741 |
| Brother’s Keeper | 0.642809 |
| Mississippi fruit | 0.83462 |
| school food services | 0.653503 |
| local food producers | 0.717454 |
| food producers | 0.757312 |
| Good Handling Practices | 0.611643 |
| local farmers markets | 0.673285 |
| local farmers | 0.673888 |
| institutional food procurement | 0.969135 |
| local institutions | 0.809485 |
| academic school | 0.627011 |
| statewide F2I program | 0.611009 |
| school field trip | 0.628033 |
| Agric Human Values | 0.682134 |
| food procurement programs | 0.978125 |
| local food procurement | 0.70912 |
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| 9570 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: National Fall Prevention Awareness Day -September 22, 2013 |
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. | 0.529335 |
| fall injuries | 0.525091 |
| age group increases | 0.610523 |
| original MMWR paper | 0.60307 |
| U.S. Government Printing | 0.599566 |
| tool kit | 0.510718 |
| Human Services | 0.581944 |
| assistive technology | 0.527191 |
| health-care providers | 0.513361 |
| elderly nursing home | 0.605627 |
| older persons | 0.531986 |
| MMWR HTML versions | 0.595418 |
| U.S. Department | 0.58054 |
| MMWR readers | 0.510877 |
| O'Connor JA | 0.517155 |
| reduced mobility | 0.514516 |
| electronic PDF version | 0.595161 |
| 10,000 women | 0.516973 |
| National Fall Prevention | 0.620419 |
| hip fracture rates | 0.852707 |
| Bonadies J. Geriatric | 0.597778 |
| total number | 0.51542 |
| home safety improvements | 0.604784 |
| information resources | 0.519668 |
|
| U.S. population ages | 0.61775 |
| older patients | 0.51328 |
| hip fractures | 0.917229 |
| Pluijm SMF | 0.513771 |
| subject line | 0.526554 |
| Additional information | 0.521563 |
| Contact GPO | 0.522193 |
| Clin Epidemiol | 0.518062 |
| fall risk | 0.521219 |
| fracture risk | 0.528096 |
| online resource | 0.510332 |
| eye doctor | 0.513363 |
| Hayes WC | 0.50904 |
| Calcif Tissue Int | 0.591633 |
| injury severity | 0.509684 |
| Fall-risk screening test | 0.594314 |
| pharmacist review | 0.51482 |
| original paper copy | 0.589232 |
| et al | 0.607665 |
| older adults | 0.517608 |
| Smit JH | 0.517901 |
| Stevens JA | 0.512 |
| adequate calcium | 0.511633 |
|
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| 9658 |
Centers for Disease Control and Prevention |
Html |
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NIOSH A-Z Index - H |
null |
| MPEG | 0.502478 |
| site | 0.37094 |
| PDF | 0.374179 |
| PPT | 0.576414 |
|
| email address | 0.737981 |
| DOC | 0.493605 |
| different file formats | 0.947299 |
|
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| 9962 |
Centers for Disease Control and Prevention |
Html |
en |
TAC Registration Form Submitted - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| 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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| 10079 |
Centers for Disease Control and Prevention |
Html |
es |
Espina bífida, Problemas de salud y tratamientos - NCBDDD |
Spina bifida is a condition that affects the spine and is usually apparent at birth. It is a type of neural tube defect (NTD). |
| Archivo Apple Quicktime | 0.614332 |
| Archivo RealPlayer | 0.537227 |
| Archivo Microsoft PowerPoint | 0.635381 |
| Archivo Adobe PDF | 0.613582 |
| Archivo Microsoft | 0.977991 |
| Archivo Microsoft Word | 0.632526 |
| Intervención Temprana | 0.541606 |
| protector solar | 0.529776 |
|
| personas con discapacidades | 0.90031 |
| Archivo Zip Comprimido | 0.611993 |
| New England Journal | 0.66598 |
| Archivo Microsoft Excel | 0.615215 |
| médula espinal flota | 0.838568 |
| pequeño tubo | 0.549701 |
| Edad Preescolar | 0.534261 |
| National Institutes | 0.56206 |
|
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| 10412 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Preventable Deaths from Heart Disease and Stroke'DHDSP'CDC |
null |
| safe walking areas | 0.509372 |
| Health Insurance Marketplace | 0.536139 |
| health care provider | 0.551736 |
| ischemic heart disease | 0.563384 |
| affordable health insurance | 0.53865 |
| Counsel patients | 0.474922 |
| safe places | 0.474807 |
| healthier living spaces | 0.536333 |
| high cholesterol | 0.542205 |
| stroke varies | 0.504965 |
| hypertensive disease | 0.488107 |
| national Million Hearts® | 0.521347 |
| Health care providers | 0.586936 |
| health systems | 0.487982 |
| Promote smoking quitlines | 0.527278 |
| community changes | 0.480878 |
| Affordable Care Act | 0.656972 |
| community health | 0.488072 |
| rheumatic heart disease | 0.561463 |
| preventable deaths | 0.487752 |
| healthy habits | 0.481197 |
| heart health | 0.499597 |
| heart attacks | 0.481673 |
| heart attack | 0.475574 |
|
| health care issues | 0.552925 |
| team-based care | 0.539768 |
| smoke-free areas | 0.478154 |
| health information technology | 0.537509 |
| blood pressure selfmanagement | 0.653802 |
| heart disease | 0.944241 |
| community resources | 0.525616 |
| healthy lifestyle choices | 0.516324 |
| preventive care | 0.496921 |
| preventable death | 0.473559 |
| health care | 0.881499 |
| health care systems | 0.650867 |
| preventive health care | 0.568125 |
| Refer patients | 0.537069 |
| brisk 10-minute walk | 0.519354 |
| electronic health records | 0.54438 |
| health care coverage | 0.587827 |
| stroke | 0.555436 |
| Connect uninsured patients | 0.527182 |
| national quality indicators | 0.623001 |
| physical activity | 0.475715 |
| high blood pressure | 0.906904 |
| health habits | 0.552957 |
| smoking quitlines | 0.599316 |
|
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| 12120 |
Centers for Disease Control and Prevention |
Html |
en |
Interim Guidance for U.S. Hospital Preparedness for Patients with Possible or Confirmed Ebola Virus Disease: A Framework for aTiered Approach | Ebola Hemorrhagic Fever |
null |
| ebola treatment center | 0.984043 |
| EVD diagnosis | 0.381891 |
| Ebola treament center | 0.444211 |
| public health authorities | 0.521094 |
| hospital/facility infection control | 0.389001 |
| infection control program | 0.388996 |
| state | 0.451589 |
| urgent care clinics | 0.448353 |
| personal protective equipment | 0.389341 |
| patients | 0.453001 |
| Potential Ebola Virus | 0.450593 |
| PUIs | 0.376879 |
| ebola virus disease | 0.634819 |
| healthcare facilities | 0.655097 |
| Ebola hospital preparedness | 0.46109 |
| EVD | 0.561553 |
| acute healthcare facilities | 0.395695 |
| CDC Ebola Response | 0.438758 |
| frontline healthcare facility | 0.450626 |
| emergency care settings | 0.440938 |
| Ebola patients | 0.43783 |
| acute care hospitals | 0.411078 |
| public health agencies | 0.395818 |
| Ebola preparedness | 0.444658 |
| clinically stable persons | 0.387442 |
|
| acute care facilities | 0.369693 |
| Ebola assessment hospital | 0.607684 |
| PPE | 0.441936 |
| Emergency Department Evaluation | 0.442975 |
| infection control | 0.424648 |
| ambulatory care settings | 0.40833 |
| frontline healthcare facilities | 0.634997 |
| PPE guidance | 0.376942 |
| local health | 0.430313 |
| local health departments | 0.428985 |
| public health | 0.578819 |
| Ebola assessment hospitals | 0.88426 |
| Ebola treatment centers | 0.677909 |
| non-emergent ambulatory care | 0.368435 |
| additional PPE supplies | 0.37396 |
| primary care offices | 0.410539 |
| local public health | 0.482774 |
| relevant exposure | 0.368882 |
| urgent/emergency care settings | 0.367056 |
| confirmed EVD | 0.367675 |
| widespread Ebola transmission | 0.435449 |
| Ebola testing | 0.479108 |
| guidance | 0.377617 |
| current PPE shortages | 0.375507 |
|
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| 13741 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Severe Illness Associated withReported Use of Synthetic Cannabinoids - Mississippi, April2015 |
Amelia M. Kasper, MD1,2; Alison D. Ridpath, MD2; Justin K. |
| 1Epidemic Intelligence Service | 0.531269 |
| electronic medical records | 0.562031 |
| 7Mississippi State Department | 0.553642 |
| Mississippi Medical Center | 0.792986 |
| novel synthetic cannabinoids | 0.694875 |
| UMMC emergency department | 0.57475 |
| different synthetic cannabinoids | 0.71116 |
| cannabinoid receptor | 0.604977 |
| general inpatient services | 0.536039 |
| systolic blood pressure | 0.539426 |
| Health Alert Network | 0.589169 |
| law enforcement officials | 0.528387 |
| synthetic cannabinoid intoxication | 0.804745 |
| physical examination findings | 0.532932 |
| Mississippi emergency departments | 0.584308 |
| health care providers | 0.701973 |
| UMMC patient population | 0.564496 |
| previous medical history | 0.550803 |
| synthetic cannabinoids | 0.97955 |
| Amelia M. Kasper | 0.567138 |
| National Center | 0.532197 |
| 3Georgia Poison Center | 0.548707 |
| vital signs | 0.544867 |
| urine drug | 0.545758 |
|
| Environmental Health | 0.541365 |
| chromatography-quadrupole time-of-flight mass | 0.543086 |
| Mississippi State Medical | 0.59541 |
| patients | 0.612676 |
| Justin K. Arnold | 0.552662 |
| public health officials | 0.5578 |
| San Francisco | 0.603391 |
| medical service reports | 0.568134 |
| urine drug screen | 0.53593 |
| Severe Illness Associated | 0.583807 |
| clinical urine drug | 0.539404 |
| Alison D. Ridpath | 0.561553 |
| California San Francisco | 0.537105 |
| plant-based opioid agonist | 0.538365 |
| Mississippi State Department | 0.985309 |
| Patrick B. Kyle | 0.557974 |
| Mississippi Poison Control | 0.591935 |
| 5Mississippi Poison Center | 0.548531 |
| intensive care admission | 0.538425 |
| main psychoactive component | 0.533303 |
| Environmental Biomonitoring Laboratory | 0.5557 |
| clinical laboratory data | 0.552737 |
| intensive care services | 0.547569 |
|
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