| 5615 |
Centers for Disease Control and Prevention |
Html |
en |
Iron salts (soluble, as Fe) - 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 |
|
CLICK HERE |
| 7047 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - New Caledonia |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
CLICK HERE |
| 7195 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Norovirus Outbreak at a Boys'Basketball Tournament — Kentucky, February 2012 |
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. |
| janitorial staff members | 0.77332 |
| mmwrq@cdc.gov. | 0.708949 |
| stool specimens | 0.987802 |
| Human Services | 0.75065 |
| assistive technology | 0.704019 |
| norovirus testing | 0.715616 |
| MMWR HTML versions | 0.758467 |
| U.S. Department | 0.748081 |
| statewide basketball tournament | 0.785832 |
| epidemiology staff members | 0.784334 |
| electronic PDF version | 0.75988 |
| environmental surfaces | 0.840198 |
| Kentucky Department | 0.797057 |
| ill persons | 0.710101 |
| person-to-person norovirus transmission | 0.811109 |
| rare norovirus strain | 0.792904 |
| Amy R. Kolwaite | 0.906433 |
| additional AGE cases | 0.794832 |
| assess potential modes | 0.784196 |
| transcription–polymerase chain reaction | 0.772786 |
| multiple cases | 0.707682 |
| persons | 0.718832 |
| original paper copy | 0.753064 |
| contaminated food | 0.705749 |
|
| Health Planning | 0.70434 |
| sports-associated norovirus outbreaks | 0.786275 |
| Basketball coaches | 0.704051 |
| absentee data | 0.69991 |
| Person-to-person transmission | 0.71159 |
| grade boys | 0.7045 |
| Public Health | 0.886994 |
| original MMWR paper | 0.765161 |
| U.S. Government Printing | 0.760739 |
| Public Health staff | 0.805225 |
| professional sporting events | 0.755852 |
| local health department | 0.825337 |
| AGE outbreaks | 0.703383 |
| highly contagious pathogen | 0.757198 |
| ill players | 0.717494 |
| acute gastroenteritis | 0.703137 |
| basketball tournament | 0.798876 |
| subject line | 0.705191 |
| staff members | 0.865512 |
| local health officials | 0.807793 |
| direct person-to-person contact | 0.786176 |
| Aron J. Hall | 0.758621 |
| Thirty-six teams | 0.706677 |
| tournament attendance | 0.720747 |
|
CLICK HERE |
| 7440 |
Centers for Disease Control and Prevention |
Html |
en |
Veterans Health Activities - Vietnam Studies - Postservice Mortality |
CDC's National Center for Environmental Health (NCEH) has taken the lead for HHS in addressing the health concerns of veterans of the Vietnam War and the Gulf War, and NCEH is working with the Departments of Defense and Veterans Affairs to protect the health of our future military forces. |
| cause-specific mortality | 0.556645 |
| American Medical Association | 0.509862 |
| DH | 0.412859 |
| VES | 0.414924 |
| excess mortality | 0.576868 |
| mortality study | 0.562805 |
| external causes | 0.4652 |
| mortality component | 0.54398 |
| homicide | 0.414089 |
| Disease Control | 0.533794 |
| longer follow-up period | 0.537221 |
| Korean War | 0.466611 |
| unintentional poisonings | 0.477879 |
| U.S. Army veterans | 0.661406 |
| Internal Medicine | 0.46223 |
| McGeehin MA | 0.462577 |
| higher mortality | 0.548568 |
| postservice deaths | 0.472702 |
| death rates | 0.462087 |
| vietnam veterans | 0.976573 |
| drug-related deaths | 0.485201 |
| original study | 0.468324 |
| health effects | 0.465572 |
| Germany | 0.412766 |
| proportional hazards regression | 0.519859 |
|
| Vietnam-era veterans | 0.666618 |
| disease-related conditions | 0.465883 |
| Centers | 0.423691 |
| total death rate | 0.534399 |
| United States | 0.475256 |
| Vietnam Experience Study | 0.65312 |
| 30-year follow-up | 0.487572 |
| follow-up study | 0.494461 |
| Catlin TK | 0.46767 |
| Prevention | 0.412886 |
| entire follow-up period | 0.662769 |
| multiple risk factors | 0.516437 |
| postservice mortality | 0.738021 |
| circulatory system diseases | 0.466657 |
| World War | 0.466701 |
| accidental poisonings | 0.488224 |
| Vital status | 0.464038 |
| study group | 0.464998 |
| non-Vietnam veterans | 0.619077 |
| active duty | 0.471067 |
| chronic conditions | 0.463486 |
| drug-related causes | 0.473546 |
| motor vehicle accidents | 0.533786 |
| combat areas | 0.465864 |
|
CLICK HERE |
| 8368 |
Centers for Disease Control and Prevention |
Html |
en |
New CDC influenza mobile app gives physicians a new, easy way to connect - CDC Online Newsroom - Press Release |
[Title] |
| CDC print products | 0.403099 |
| decade | 0.210248 |
| influenza antiviral drugs | 0.474536 |
| content sharing | 0.254712 |
| CDC app | 0.545175 |
| Dr. Uyeki | 0.259109 |
| ongoing efforts | 0.253382 |
| Apple App Store | 0.752387 |
| influenza information health | 0.466936 |
| free download | 0.266853 |
| physicians | 0.243022 |
| CDC website | 0.34791 |
| clinicians | 0.210343 |
| Facebook | 0.210715 |
| earliest start | 0.259885 |
| diagnosis | 0.219679 |
| latest CDC content | 0.395516 |
| iPod touch devices | 0.314541 |
| cdc influenza app | 0.920426 |
| Chief Medical Officer | 0.30716 |
| laboratory testing | 0.259212 |
| HUMAN SERVICES | 0.254891 |
| Dr. Tim Uyeki | 0.307974 |
| wide range | 0.259557 |
| iPhone | 0.210743 |
|
| treatment | 0.219668 |
| United States | 0.255423 |
| arrival | 0.210838 |
| influenza vaccination recommendations | 0.472306 |
| Twitter | 0.210049 |
| mobile technologies | 0.258053 |
| mobile communications tool | 0.304785 |
| CDC’s Influenza | 0.528628 |
| new Influenza App | 0.736191 |
| U.S. DEPARTMENT | 0.254972 |
| e-mail information | 0.257207 |
| influenza patients | 0.433938 |
| Apple’s iPad | 0.272812 |
| social media | 0.254213 |
| influenza infection control | 0.471407 |
| national flu activity | 0.319352 |
| Android devices | 0.25599 |
| future update | 0.252101 |
| easy access | 0.259623 |
| health care professionals | 0.517575 |
| mobile devices | 0.256807 |
| influenza topics | 0.421117 |
| flu season | 0.324399 |
| influenza activity | 0.409195 |
|
CLICK HERE |
| 9068 |
Centers for Disease Control and Prevention |
Html |
en |
Suicide and Suicidal Ideation Among Bhutanese Refugees -United States, 2009-2012 |
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. |
| Bhutanese refugee community | 0.285469 |
| mental health | 0.644566 |
| mental health disorders | 0.289088 |
| Human Services | 0.273842 |
| suicide prevention gatekeepers | 0.263878 |
| psychological distress | 0.287039 |
| U.S. Department | 0.273509 |
| suicide rate | 0.381015 |
| suicide prevention activities | 0.26453 |
| Bhutanese refugee camps | 0.355172 |
| mental health services | 0.386565 |
| postarrival difficulties | 0.340735 |
| suicidal ideation | 0.968985 |
| Refugee Resettlement | 0.402715 |
| suicide prevention strategies | 0.264719 |
| suicide prevention coordinator | 0.263104 |
| Health Technical Assistance | 0.321123 |
| Bhutanese refugee population | 0.305179 |
| posttraumatic stress disorder | 0.277337 |
| annual suicide rate | 0.337855 |
| refugee health | 0.368364 |
| distressed respondent protocol | 0.273488 |
| suicide prevention | 0.429582 |
| prearrival suicide rate | 0.282572 |
|
| Health Svcs | 0.261794 |
| bhutanese refugees | 0.790387 |
| United States | 0.648433 |
| state refugee health | 0.302691 |
| family conflict | 0.283452 |
| mental health disorder | 0.407808 |
| Technical Assistance Center | 0.277787 |
| York State Dept | 0.264691 |
| age-adjusted suicide rate | 0.291472 |
| refugee health center | 0.33588 |
| Refugee Health Technical | 0.329322 |
| public health | 0.302431 |
| global suicide rate | 0.288124 |
| Global Health Protection | 0.297572 |
| New York | 0.273726 |
| comprehensive suicide prevention | 0.336197 |
| postarrival suicide rates | 0.268116 |
| self-reported symptoms | 0.262026 |
| mental health history | 0.264201 |
| local mental health | 0.263557 |
| suicide prevention strategy | 0.270378 |
| suicide prevention plan | 0.266975 |
| refugee camps | 0.398802 |
| suicide prevention services | 0.277538 |
|
CLICK HERE |
| 10840 |
Centers for Disease Control and Prevention |
Html |
en |
MERS-U.S. MERS Cases |
Middle East Respiratory Syndrome (MERS) Case Definitions for patient under investigation (PUI), confirmed case, and probable case. |
| healthcare providers | 0.486906 |
| general public | 0.560508 |
| traveler | 0.569794 |
| United States | 0.564382 |
| Advanced Molecular Detection | 0.543603 |
| runny nose | 0.477933 |
| AMD Provides Quick | 0.543365 |
| health officials | 0.537358 |
| MERS-CoV infection—both | 0.493058 |
| international partners | 0.477354 |
| Saudi Arabia | 0.934652 |
| Florida case | 0.476425 |
| U.S. MERS cases | 0.667128 |
| unlinked imported cases | 0.562386 |
| complete virus genome | 0.537888 |
| MERS situation | 0.592474 |
| muscle aches | 0.536363 |
| U.S. case | 0.581991 |
| healthcare infection control | 0.553025 |
| health care contacts | 0.533565 |
| health departments | 0.480449 |
| hospital | 0.499207 |
| U.S. cases | 0.487603 |
| U.S. Customs | 0.488173 |
|
| Emergency Medical Service | 0.543354 |
| laboratory studies | 0.481222 |
| intermittent fevers | 0.474186 |
| U.S. citizen | 0.486831 |
| Indiana case | 0.478538 |
| Border Protection | 0.476384 |
| public health partners | 0.671475 |
| MERS patients | 0.580829 |
| active MERS-CoV infection | 0.660637 |
| severe muscle aches | 0.533406 |
| emergency department | 0.540958 |
| public health investigations | 0.55057 |
| ill travelers | 0.474516 |
| CDC Press Release | 0.543262 |
| low-grade fever | 0.480941 |
| healthcare provider | 0.543245 |
| MERS cases | 0.730301 |
| international travelers | 0.474261 |
| London | 0.474801 |
| lab testing capacity | 0.544685 |
| flight crews | 0.476547 |
| MERS | 0.75774 |
| up-to-date information | 0.476548 |
|
CLICK HERE |
| 11060 |
Centers for Disease Control and Prevention |
Html |
en |
Cholera | General Information |
null |
| non-live cholera vaccines | 0.525113 |
| ill person | 0.261905 |
| U.S. shellfish beds | 0.308307 |
| epidemic cholera | 0.572857 |
| inadequate treatment | 0.278663 |
| inadequate hygiene | 0.319213 |
| trains laboratory workers | 0.289487 |
| oral rehydration solution | 0.399831 |
| World Health Organization | 0.291815 |
| effective preventive measures | 0.288828 |
| severe diarrhea | 0.277795 |
| undercooked shellfish | 0.267743 |
| casual contact | 0.304889 |
| V. cholerae | 0.26376 |
| cholera patients | 0.496247 |
| body fluids | 0.314341 |
| public health officials | 0.29035 |
| implement preventive measures | 0.283249 |
| Severe cases | 0.260679 |
| international U.S. government | 0.302355 |
| sewage treatment systems | 0.294594 |
| international public health | 0.289802 |
| shellfish sanitation program | 0.305537 |
| prompt rehydration | 0.264982 |
|
| severe disease | 0.316923 |
| Cholera infection | 0.51921 |
| Vibrio cholerae | 0.388577 |
| commonly causes cholera | 0.5244 |
| U.S. No cholera | 0.491751 |
| poor sanitation | 0.310764 |
| leg cramps | 0.319145 |
| U.S. travelers | 0.270313 |
| medical attention | 0.301245 |
| chemically treated water | 0.302842 |
| drinking water | 0.29949 |
| canned carbonated beverages | 0.291127 |
| cholera | 0.9115 |
| bacterium Vibrio cholerae | 0.354374 |
| profuse watery diarrhea | 0.439221 |
| oral cholera vaccine | 0.527756 |
| rapid loss | 0.309414 |
| active cholera transmission | 0.57904 |
| infected person | 0.354362 |
| cholera changes | 0.476183 |
| intravenous fluid replacement | 0.289496 |
| cholera outbreaks | 0.473534 |
| cholera bacterium | 0.758341 |
| toxigenic Vibrio cholerae | 0.311831 |
|
CLICK HERE |
| 11620 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Safety Training Course for Healthcare Workers Going to West Africa in Response to the 2014 Ebola Outbreak |
null |
| Ebola epidemic | 0.883264 |
| healthcare providers | 0.43025 |
| Ebola Treatment Units | 0.684843 |
| Anniston | 0.329635 |
| ETU | 0.321456 |
| Domestic Preparedness | 0.428883 |
| complete guide | 0.412746 |
| training materials | 0.419448 |
| Alabama | 0.320791 |
| ETUs | 0.364624 |
| CDP | 0.334785 |
| physicians | 0.321595 |
| non-governmental organizations | 0.444691 |
| HCWs | 0.365333 |
| Preparing Healthcare Workers | 0.54061 |
| Ebola training toolkit | 0.918773 |
| NGOs | 0.331463 |
| Médecins Sans Frontières | 0.531316 |
|
| goals | 0.320764 |
| MSF | 0.330105 |
| Center | 0.320883 |
| World Health Organization | 0.52392 |
| U.S. Federal Emergency | 0.531469 |
| CDC course | 0.656443 |
| 3-day experiential training | 0.573405 |
| nurses | 0.320178 |
| Continuing Education credit | 0.517374 |
| persons | 0.320146 |
| Ebola Treatment | 0.696997 |
| similar courses | 0.422748 |
| West Africa | 0.434074 |
| response | 0.36648 |
| Africa course | 0.439384 |
| in-person training course | 0.533033 |
| information | 0.320399 |
|
CLICK HERE |
| 15704 |
Centers for Disease Control and Prevention |
Html |
en |
Resource Library | HIV/AIDS |
Collection of resources presenting CDC’s HIV prevention information |
| reports | 0.23471 |
| slides | 0.238034 |
| awareness day activities | 0.305808 |
| medical practice guidelines | 0.369559 |
| specific subpopulations | 0.312609 |
| prevention tools | 0.392237 |
| Page | 0.216579 |
| HIV prevention | 0.805535 |
| web content syndication | 0.366476 |
| research | 0.217621 |
| share messages | 0.293802 |
| referral service | 0.287901 |
| HIV risk behaviors | 0.627521 |
| letters | 0.233425 |
| CDC leadership | 0.346219 |
| surveillance data | 0.29389 |
| public health partners | 0.365851 |
| testing | 0.233477 |
| AIDS | 0.233318 |
| HIV-related videos | 0.303025 |
| community engagement | 0.294533 |
| highlight current prevention | 0.386859 |
| social media platforms | 0.36988 |
| colleagues | 0.244038 |
| public health information | 0.387026 |
|
| CDC fact sheets | 0.467775 |
| social media presence | 0.366308 |
| treatment | 0.216937 |
| United States | 0.298515 |
| expert guidance | 0.289303 |
| national events | 0.302784 |
| specific populations | 0.396111 |
| new developments | 0.39384 |
| Twitter | 0.217971 |
| HIV continuum | 0.537063 |
| HIV’s impact | 0.562992 |
| appropriate health care | 0.364796 |
| HIV prevention messages | 0.613006 |
| latest data | 0.303932 |
| topics | 0.218763 |
| resources | 0.235407 |
| awareness day materials | 0.391386 |
| Downloadable infographics | 0.321957 |
| HIV awareness | 0.53411 |
| HIV fact sheets | 0.622816 |
| access tools | 0.293277 |
| HIV | 0.955123 |
| CDC content | 0.339751 |
| PEP | 0.218564 |
|
CLICK HERE |