| 6672 |
Centers for Disease Control and Prevention |
Html |
en |
A Population Approach to Mitigating the Long-Term Health Effects of Combat Deployments |
CDC - Wide Page example description goes here |
| Farrow VA | 0.465561 |
| mental health | 0.889653 |
| mental health disorders | 0.458664 |
| no-fee VA care | 0.57224 |
| Veterans Health Administration | 0.519355 |
| national health care | 0.505289 |
| health care team | 0.50623 |
| health care delivery | 0.505746 |
| VA career development | 0.501231 |
| population health model | 0.498808 |
| outlines VA | 0.526476 |
| service members | 0.864809 |
| veteran health care | 0.516642 |
| Veterans Affairs polytrauma | 0.502365 |
| Veterans Affairs health | 0.520246 |
| VA facilities | 0.552935 |
| VA’s role | 0.511318 |
| traumatic brain injury | 0.552561 |
| polytrauma clinical triad | 0.471358 |
| OEF/OIF/OND veterans | 0.534321 |
| health care facilities | 0.505479 |
| mental health concerns | 0.457026 |
| VA Connecticut Healthcare | 0.502682 |
| population health management | 0.556876 |
| OEF/OIF/OND service members | 0.463366 |
|
| injured service members | 0.506746 |
| VA Puget Sound | 0.49822 |
| health care needs | 0.578551 |
| mental health diagnoses | 0.55641 |
| City VA Healthcare | 0.503431 |
| local VA | 0.483442 |
| mental health disorder | 0.497144 |
| VA approach | 0.497091 |
| VA polytrauma site | 0.571988 |
| OEF/OIF veterans | 0.497242 |
| postcombat care | 0.487051 |
| combat veterans | 0.789657 |
| VA OEF/OIF patients | 0.535693 |
| VA health care | 0.983028 |
| Afghanistan war veterans | 0.474608 |
| VA outreach | 0.474016 |
| mental health care | 0.514338 |
| VA’s EHR | 0.494281 |
| VA’s doors | 0.47135 |
| Veterans Affairs | 0.544161 |
| VA Spinal Cord | 0.508265 |
| mental health conditions | 0.577617 |
| VA medical centers | 0.564127 |
| VA medical center | 0.526541 |
|
CLICK HERE |
| 8083 |
Centers for Disease Control and Prevention |
Html |
en |
Media Relations - EID News Synopsis: March 2013 |
EID News Synopsis: March 2013 |
| skin infections | 0.782604 |
| chicken meat | 0.716563 |
| Pacific Northwest outbreak | 0.799113 |
| Technical University | 0.797636 |
| foodborne campylobacteriosis | 0.719322 |
| CDC study | 0.761971 |
| infected animals | 0.726188 |
| South Florida Morsani | 0.78648 |
| fungal infection | 0.736231 |
| National Food Institute | 0.965482 |
| contact | 0.742737 |
| C. gattii | 0.86602 |
| bhal@food.dtu.dk | 0.718309 |
| explosive measles | 0.734856 |
| stepped-up vaccination plan | 0.806816 |
| recreational activities | 0.709567 |
| United States | 0.877511 |
| Leptospirosis trends | 0.723293 |
| biosecurity measures | 0.711564 |
| patients | 0.717291 |
| bacterial diarrheal illness | 0.818687 |
| severe leptospirosis | 0.731893 |
| older age groups | 0.787356 |
| fly screens | 0.793618 |
| foodborne illness | 0.710369 |
|
| Simon Bahrndorff | 0.712564 |
| Infectious Diseases | 0.819828 |
| vaccination catch-up | 0.710831 |
| c.wong@kit.nl | 0.713418 |
| high vaccination coverage | 0.800065 |
| ongoing outbreak | 0.712322 |
| Biomedical Research department | 0.796983 |
| bacterial disease | 0.713538 |
| Moffitt Cancer Center | 0.788804 |
| chicken houses | 0.793683 |
| Royal Tropical Institute | 0.942993 |
| water-related sport | 0.710978 |
| public health journal | 0.828164 |
| leg infection | 0.733886 |
| North Carolina–Chapel Hill | 0.782835 |
| northwest United States | 0.789357 |
| Facilities Department | 0.711505 |
| Study results | 0.718259 |
| low number | 0.710521 |
| common source | 0.724977 |
| Cryptococcus gattii infections | 0.811593 |
| p.m. EDT | 0.733496 |
| European Union | 0.722573 |
| John N. Greene | 0.783284 |
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CLICK HERE |
| 8631 |
Centers for Disease Control and Prevention |
Html |
en |
Additional H7N9 Cases Reported in China |
Additional H7N9 Cases Reported in China; CDC receives virus isolate. |
| H7N9 viruses | 0.538529 |
| probable human-to-human spread | 0.529272 |
| H5N1 Virus Infection | 0.63849 |
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| CDC diagnostic test | 0.552686 |
| H7N9 infections | 0.498262 |
| avian influenza | 0.915346 |
| non-sustained person-to-person spread | 0.537135 |
| initial transmission | 0.493624 |
| avian influenza viruses | 0.664282 |
| human influenza viruses | 0.554872 |
| human cases | 0.506708 |
| Chinese National Health | 0.50778 |
| H5N1 patients | 0.504725 |
| H7N9 vaccine | 0.492906 |
| human-to-human spread | 0.565891 |
| virus isolate | 0.584359 |
| limited person-to-person transmission | 0.559432 |
| human blood samples | 0.520003 |
| Family Planning Commission | 0.50656 |
| new avian influenza | 0.595614 |
| standard pandemic preparedness | 0.526128 |
| pathogenic avian influenza | 0.56175 |
|
| China | 0.504857 |
| CDC Travelers | 0.491375 |
| Weekly Epidemiological Record | 0.497014 |
| efficient transmission | 0.490169 |
| CDC website | 0.490715 |
| health care workers | 0.503262 |
| candidate vaccine virus | 0.721838 |
| human-to-human transmission | 0.590593 |
| novel influenza virus | 0.651594 |
| H5N1 viruses | 0.518072 |
| World Health Organization | 0.509552 |
| proper USDA permits | 0.502345 |
| influenza pandemic | 0.498183 |
| North-West Frontier Province | 0.49386 |
| U.S. public action | 0.497224 |
| human infections | 0.593057 |
| new virus | 0.537219 |
| h5n1 virus | 0.661983 |
| person-to-person H5N1 transmission | 0.608667 |
| influenza pandemics | 0.494309 |
| Probable Person-to-Person Transmission | 0.566224 |
| limited transmission | 0.502647 |
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| 8689 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Healthy Vision Month - May 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. | 0.52854 |
| American Academy | 0.513334 |
| Wood JM | 0.510498 |
| Human Services | 0.582484 |
| assistive technology | 0.526794 |
| Opththalmol Vis Sci | 0.599425 |
| Vision Health Initiative | 0.686141 |
| age-related eye disease | 0.6373 |
| lifetime priority | 0.51691 |
| Elam-Evans LD | 0.511217 |
| eye health | 0.562994 |
| MMWR HTML versions | 0.594557 |
| U.S. Department | 0.580606 |
| eye diseases | 0.62654 |
| electronic PDF version | 0.594773 |
| vision impairment | 0.914479 |
| Crews JE | 0.512336 |
| early detection | 0.61896 |
| Cotch MF | 0.510578 |
| age-related macular degeneration | 0.612925 |
| American Optometric Association | 0.60995 |
| National Institutes | 0.514331 |
| undetected vision problems | 0.669493 |
| injurious falls | 0.520816 |
|
| Additional information | 0.512598 |
| Contact GPO | 0.521057 |
| functional vision loss | 0.643174 |
| fall-related injuries | 0.521824 |
| original paper copy | 0.588431 |
| low vision | 0.568675 |
| United States | 0.739115 |
| Qual Life Res | 0.612674 |
| original MMWR paper | 0.602101 |
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| Health Aff | 0.525211 |
| Kerr GK | 0.513075 |
| reduced overall health | 0.626526 |
| daily activities | 0.517345 |
| National Eye Institute | 0.641275 |
| visual impairment | 0.692791 |
| timely treatment | 0.511877 |
| related chronic conditions | 0.589486 |
| Vision disorders | 0.564431 |
| common chronic condition | 0.610455 |
| subject line | 0.526292 |
| Healthy Vision | 0.63426 |
| eye examination | 0.527971 |
| eye safety practices | 0.62984 |
|
CLICK HERE |
| 9660 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH A-Z Index - N |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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|
CLICK HERE |
| 12603 |
Centers for Disease Control and Prevention |
Video |
en |
Video: Implementing TB Infection Control in Outpatient Settings |
Through PEPFAR funding, CDC provides support for HIV care and treatment in over 1,300 HIV/ART clinics in resource-limited countries, primarily in Africa. CDC has recognized that in some countries guidelines for infection control related to Tuberculosis, have not yet been translated to facility level action. This video is part of an implementation package developed to address that need. It is based on the WHO Policy on TB Infection Control in Health-Care Facilities, Congregate Settings and Households (2009) and emphasizes basic, simple activities that can be performed at the facility level to begin implementation of TB infection control.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/globalhealth/video/tb/tb.htm |
| TB Infection Control | 0.949574 |
|
| Out-patient Settings | 0.789788 |
|
CLICK HERE |
| 12706 |
Centers for Disease Control and Prevention |
Video |
en |
Preconception Health |
Preconception health means taking care of your own health now to make sure that if you choose to start a family; you'll be healthy for yourself and your future baby. Whether you're thinking about now, the near future or not at all, the key is setting goals, making a plan, and most importantly, taking care of yourself during preconception since your health before pregnancy can affect the health of your baby.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/CDCTV/PreHealth_Full/index.html |
|
|
CLICK HERE |
| 13407 |
Centers for Disease Control and Prevention |
Html |
en |
Monitoring Exposure to Ebola and Health of U.S. MilitaryPersonnel Deployed in Support of Ebola Control Efforts - Liberia,October 25, 2014-February 27, 2015 |
Anthony P. Cardile, DO1; Clinton K. Murray, MD2; Christopher T. |
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| twice-daily monitoring | 0.339669 |
| Ebola infection | 0.462952 |
| Ebola disease | 0.374508 |
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| public health authorities | 0.340501 |
| febrile U.S. personnel | 0.299907 |
| service members | 0.953679 |
| deployed service member | 0.327613 |
| Ebola Control Efforts | 0.50572 |
| comprehensive monitoring | 0.259939 |
| DoD personnel | 0.274638 |
| train health care | 0.256882 |
| Ebola RT-PCR testing | 0.445679 |
| febrile illness | 0.289339 |
| unit monitoring | 0.50999 |
| persons | 0.272788 |
| DoD medical facility | 0.255213 |
| potential Ebola exposures | 0.488223 |
| unit monitoring program | 0.280108 |
| Ebola | 0.867356 |
| Ebola virus disease | 0.504434 |
| Ebola risk assessment | 0.487458 |
| U.S. military units | 0.349877 |
| Ebola epidemic | 0.416668 |
|
| u.s. military personnel | 0.501907 |
| possible Ebola | 0.397702 |
| United States | 0.272431 |
| epidemiologic risk factor | 0.339691 |
| Ebola exposure | 0.550211 |
| Ebola infections | 0.379525 |
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| monitoring program | 0.285943 |
| close contact | 0.359267 |
| health care workers | 0.368683 |
| public health | 0.371203 |
| Ebola-affected country | 0.262389 |
| Military public health | 0.272598 |
| Military Personnel Deployed | 0.412412 |
| Ebola exposures | 0.727612 |
| monitoring areas | 0.265717 |
| Liberia | 0.418142 |
| Ebola patient | 0.387528 |
| Ebola treatment units | 0.511889 |
| Ebola testing | 0.478993 |
| Todd J. Vento | 0.346576 |
| twice-daily unit monitoring | 0.290345 |
| activity restrictions | 0.431106 |
|
CLICK HERE |
| 15655 |
Centers for Disease Control and Prevention |
Html |
en |
US breastfeeding rates are up! CDC helps pave the way. | Features | CDC |
Visit DNPAO to learn how you can support breastfeeding. Get the latest data on the breastfeeding rates. Use the Breastfeeding Report Card to track changes in breastfeeding over time and compare your rates to other states. |
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| Mortality Weekly Report | 0.589848 |
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| black women | 0.502774 |
| Maps database | 0.493648 |
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| woman | 0.41784 |
| access | 0.416843 |
|
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| challenges | 0.433749 |
| DNPAO’s Data | 0.489419 |
| hospital cover | 0.49543 |
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| percentage points | 0.507591 |
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| MMWR | 0.435588 |
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| Visit CDC | 0.501223 |
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| U.S. babies | 0.534175 |
| NH black infants | 0.815828 |
| Surgeon General | 0.494777 |
| best source | 0.512713 |
| barriers | 0.417397 |
| information | 0.41786 |
| breastfeeding | 0.912596 |
|
CLICK HERE |
| 16266 |
Centers for Disease Control and Prevention |
Html |
en |
FastStats - All Injuries |
null |
| Department Summary Tables | 0.60596 |
| Summary Health Statistics | 0.633256 |
| medical treatment | 0.623367 |
| injuries | 0.443936 |
| poisoning episodes | 0.569288 |
| Final Data | 0.509957 |
| emergency department visits | 0.631641 |
| Ambulatory Medical Care | 0.818809 |
| National Health Interview | 0.633948 |
| Source | 0.518604 |
| Traumatic Brain Injury | 0.597856 |
| PDF | 0.536238 |
| Number | 0.590433 |
| Survey Demonstration Projects | 0.596685 |
| Table P-5 | 0.530691 |
|
| KB | 0.457543 |
| Nonfatal Injury Episodes | 0.605824 |
| deaths | 0.981624 |
| poisoning heroin deaths | 0.791457 |
| National Ambulatory Medical | 0.627308 |
| NCHS Data | 0.5314 |
| population | 0.813842 |
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| Summary Tables | 0.617756 |
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| adverse effects | 0.646272 |
| physician offices | 0.522672 |
| NCHS Fact Sheet | 0.620651 |
|
CLICK HERE |