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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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Centers for Disease Control and Prevention |
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Methyl ethyl ketone peroxide - 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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| 6544 |
Centers for Disease Control and Prevention |
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CDC and Dengue Research - Dengue Fever |
CDC Works For You 24/7 Protecting People - Working to Protect Against the Dangers of Dengue - Dengue, a painful and sometimes deadly viral disease transmitted by mosquitoes, threatens more than 3.5 billion people worldwide. Dengue is endemic in at least 100 countries in Southeast Asia, the Pacific Islands, the Caribbean, Central America, South America, and parts of Africa. As many as 100 million people become infected yearly, and nearly 500,000, mostly children, develop the potentially deadly dengue hemorrhagic fever. |
| study mosquito-borne viruses | 0.326577 |
| best way | 0.323989 |
| virology lab | 0.269779 |
| ongoing efforts | 0.258936 |
| mosquito-transmitted disease | 0.274399 |
| Dr. Harold Margolis | 0.314723 |
| Claire Huang | 0.26602 |
| vaccine adoption strategies | 0.406326 |
| CDC program | 0.282028 |
| vector-borne diseases | 0.350594 |
| opportunity | 0.210869 |
| dengue experts | 0.538989 |
| international meeting | 0.263998 |
| dengue vaccine | 0.974188 |
| Scientists | 0.212651 |
| successful vaccine | 0.387244 |
| unique strength | 0.273401 |
| vaccination | 0.211249 |
| Puerto Rico | 0.441347 |
| dengue vaccine development | 0.699192 |
| production | 0.212615 |
| largest research unit | 0.327905 |
| southern Taiwan | 0.267147 |
| dengue vaccine research | 0.724541 |
| major activity | 0.272016 |
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| Dengue v2V | 0.591152 |
| epidemiologic | 0.213935 |
| world | 0.211683 |
| Dengue Branch | 0.623567 |
| introduction | 0.218812 |
| Public health aspects | 0.337484 |
| San Juan | 0.269035 |
| CSU | 0.229765 |
| agency | 0.212424 |
| economic impact | 0.262027 |
| epidemic dengue activity | 0.581051 |
| relevant venue | 0.260143 |
| disease. | 0.212657 |
| dengue virus research | 0.658411 |
| people | 0.210793 |
| Colorado State University | 0.321352 |
| master | 0.211439 |
| life-long passion | 0.266248 |
| co-chair | 0.216381 |
| major dengue outbreak | 0.618503 |
| DVBD | 0.211723 |
| catch-up immunization | 0.263102 |
| technical data | 0.26171 |
| decades | 0.212727 |
|
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Centers for Disease Control and Prevention |
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Prevention and Control of Influenza with Vaccines: InterimRecommendations of the Advisory Committee on Immunization PracticesACIP, 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. |
| ACIP influenza | 0.872596 |
| currently available influenza | 0.481444 |
| influenza vaccination recommendation | 0.516999 |
| trivalent influenza vaccine | 0.570866 |
| Influenza Div | 0.356053 |
| Routine annual influenza | 0.493014 |
| inactivated influenza vaccines | 0.555669 |
| ACIP influenza recommendation | 0.677909 |
| Immunization Practices | 0.331406 |
| cell culture-based vaccine | 0.305035 |
| newly licensed influenza | 0.463795 |
| Influenza Vaccine Abbreviations | 0.575174 |
| advisory committee | 0.383121 |
| recommendation statement | 0.212496 |
| influenza vaccine | 0.782048 |
|
| trivalent inactivated influenza | 0.458233 |
| Vaccine Recommendations | 0.285925 |
| influenza season | 0.497059 |
| influenza vaccines | 0.931059 |
| ACIP influenza vaccination | 0.813065 |
| influenza vaccination statement | 0.493736 |
| ACIP influenza recommendations | 0.714686 |
| hemagglutinin influenza vaccine | 0.562011 |
| vaccine categories | 0.210027 |
| ACIP recommendations | 0.314726 |
| inactivated influenza vaccine | 0.572555 |
| U.S. vaccine abbreviations | 0.307242 |
| attenuated influenza vaccine | 0.56412 |
| influenza virus | 0.356037 |
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| 9176 |
Centers for Disease Control and Prevention |
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Prostate Cancer Rates by Race and Ethnicity |
Prostate cancer statistics from CDC: incidence and mortality by race and ethnicity. |
| numbers | 0.421228 |
| invasive cancer sites | 0.598755 |
| NVSS | 0.424124 |
| cancer excludes basal | 0.603825 |
| genital organs | 0.500593 |
| number | 0.463046 |
| shows | 0.46358 |
| ethnic populations | 0.601836 |
| A/PI | 0.419389 |
| Asian/Pacific Islander men | 0.601713 |
| registry-specific data quality | 0.585333 |
| prostate cancer incidence | 0.680285 |
| highest rate | 0.519055 |
| Hispanic origin | 0.601906 |
| National Vital Statistics | 0.574286 |
| Behavior recode | 0.508481 |
| National Program | 0.502499 |
| incidence rate | 0.639841 |
| age groups | 0.601885 |
| Sources | 0.419304 |
| graph | 0.470666 |
| Census P25–1130 | 0.604088 |
| population coverage | 0.602983 |
| data quality | 0.590945 |
| persons | 0.477805 |
|
| situ cancers | 0.502546 |
| death rates | 0.658072 |
| U.S. standard population | 0.7643 |
| AI/AN | 0.419413 |
| ethnicity | 0.484815 |
| 100,000 | 0.462855 |
| skin | 0.43263 |
| USCS technical notes | 0.938698 |
| data quality criteria | 0.58474 |
| cancer registries | 0.606121 |
| potential differences | 0.596273 |
| Asian/Pacific Islander | 0.633069 |
| †Race categories | 0.599682 |
| *Rates | 0.437861 |
| National Cancer Institute | 0.607294 |
| caution | 0.509713 |
| disease | 0.421074 |
| black men | 0.583168 |
| urinary bladder | 0.501382 |
| End Results program | 0.595054 |
| squamous cell carcinomas | 0.597043 |
| U.S. population | 0.59581 |
| prostate cancer | 0.907235 |
| American Indian/Alaska Native | 0.795329 |
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| 9570 |
Centers for Disease Control and Prevention |
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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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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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Centers for Disease Control and Prevention |
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What U.S. Hospitals Need to Know to Prepare for Ebola Virus Disease - Conference Call August 5, 2014 | Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| impacted countries | 0.485042 |
| United States | 0.444016 |
| patients | 0.326601 |
| Ebola hemorrhagic fever | 0.809932 |
| U.S. hospitals | 0.457057 |
| updates | 0.323667 |
| steps | 0.331951 |
| American citizens | 0.454404 |
| COCA | 0.348577 |
|
| guidance | 0.329852 |
| recent Ebola virus | 0.821637 |
| West Africa | 0.551427 |
| U.S. healthcare facilities | 0.549834 |
| outbreak | 0.402273 |
| clinicians | 0.339802 |
| U.S. hospital | 0.433922 |
| possibility | 0.387737 |
|
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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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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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