| 926 |
Centers for Disease Control and Prevention |
Html |
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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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| 4409 |
Centers for Disease Control and Prevention |
Html |
en |
Norovirus SummaryDocument - Vessel Sanitation Program |
The Vessel Sanitation Program at the Centers for Disease Control and Prevention assists the cruise ship industry to prevent and control the introduction, transmission, and spread of gastrointestinal (GI) illnesses on cruise ships. |
| significant gastroenteritis | 0.766266 |
| fecally-contaminated food | 0.538644 |
| lowest frequency | 0.537606 |
| viral particles | 0.543295 |
| contaminated fomites. | 0.537483 |
| norovirus-associated gastroenteritis | 0.701976 |
| Strict adherence | 0.534434 |
| GIV. GI | 0.556076 |
| Infectious dose | 0.552579 |
| throat. Bloody diarrhea | 0.690847 |
| long-term immunity | 0.55024 |
| severe vomiting | 0.617915 |
| infection. Repeat infections | 0.634417 |
| zoonotic transmission | 0.546023 |
| Incubation period | 0.6811 |
| Norwalk virus | 0.564376 |
| Human Genogroups | 0.546957 |
| single-stranded RNA | 0.598506 |
| Strain-specific immunity | 0.555218 |
| person-to-person spread | 0.542412 |
| foodborne illness outbreaks | 0.745066 |
| Temporal distribution | 0.543471 |
| self-limiting gastrenteritis | 0.532472 |
| abdominal cramps | 0.53915 |
| diarrhe persist. Deaths | 0.642365 |
|
| epidemic viral gastroenteritis | 0.915427 |
| non-enveloped viruses | 0.561453 |
| High degree | 0.527288 |
| winter vomiting disease | 0.806765 |
| Norovirus gastroenteritis outbreaks | 0.899614 |
| humans. GIII | 0.558329 |
| Specific data | 0.544873 |
| United States. Estimated | 0.680855 |
| acute gastroenteritis | 0.736612 |
| acceptable halogen levels | 0.642851 |
| recreational water systems | 0.641275 |
| noroviruses. Low-grade fever | 0.651583 |
| high attack rates | 0.657997 |
| populations. Immunity | 0.555474 |
| median duration | 0.555765 |
| Envelop present | 0.565962 |
| distribution systems | 0.531729 |
| Geographic distribution | 0.546474 |
| filtration subsystems | 0.530786 |
| self-limited. Oral | 0.5247 |
| Clinical characteristics | 0.54034 |
| Norwalk-like virus | 0.581462 |
| infected persons | 0.531024 |
| parasitic pathogens | 0.542041 |
|
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| 5258 |
Centers for Disease Control and Prevention |
Html |
en |
Collaboration to Increase Colorectal Cancer Screening Among Low-Income Uninsured Patients |
null |
| Anchorage Neighborhood Health | 0.557684 |
| ANHC medical staff | 0.454759 |
| fecal occult blood | 0.791007 |
| ANHC patient population | 0.436126 |
| occult blood tests | 0.532966 |
| CRC screening services | 0.706481 |
| RFL | 0.524676 |
| colorectal cancer screening | 0.571672 |
| immunochemical fecal occult | 0.460315 |
| uninsured patients | 0.540044 |
| care medical practices | 0.448719 |
| colorectal cancer | 0.5831 |
| screening program design | 0.522822 |
| primary care services | 0.43591 |
| CRC screening | 0.935059 |
| Life Alaska | 0.56082 |
| patients | 0.698449 |
| comprehensive screening program | 0.530699 |
| underinsured ANHC patients | 0.494032 |
| ANHC screening care | 0.640888 |
| private endoscopy centers | 0.451507 |
| Lance Armstrong Foundation | 0.431788 |
| CRC screening program | 0.82929 |
| CRC screening tests | 0.595501 |
|
| occult blood test | 0.441779 |
| largest community health | 0.488073 |
| CRC deaths | 0.432228 |
| Alaska Medical Center | 0.429866 |
| part-time ANHC screening | 0.523144 |
| screening care coordinator | 0.96477 |
| scarce screening resources | 0.515511 |
| Anchorage medical community | 0.445884 |
| pathology services | 0.559262 |
| medical practices | 0.673497 |
| ANHC patients | 0.558753 |
| federally qualified health | 0.452645 |
| ANHC electronic health | 0.433801 |
| Various screening modalities | 0.501217 |
| medical community | 0.628441 |
| health center | 0.69636 |
| heavily discounted CRC | 0.442448 |
| Neighborhood Health Center | 0.624204 |
| part-time screening care | 0.49655 |
| primary care | 0.519328 |
| positive screening exams | 0.49338 |
| RFL-funded colonoscopy program | 0.444763 |
| low screening rates | 0.502415 |
| community health center | 0.608379 |
|
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| 5517 |
Centers for Disease Control and Prevention |
Html |
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Propane - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 9367 |
Centers for Disease Control and Prevention |
Html |
es |
Marco de trabajo para la diseminación de prácticas de promoción de la salud basadas en la evidencia |
CDC - Wide Page example description goes here |
| Cancer Society Workplace | 0.985922 |
|
|
CLICK HERE |
| 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 |
|
CLICK HERE |
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Centers for Disease Control and Prevention |
Html |
en |
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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| 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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| 12120 |
Centers for Disease Control and Prevention |
Html |
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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 |
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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 |
|
CLICK HERE |