| 820 |
Centers for Disease Control and Prevention |
Html |
en |
H7N9 Testing Recommendations |
Interim Guidance for Infection Control Within Healthcare Settings When Caring for Patients with Confirmed, Probable, or Cases Under Investigation of Avian Influenza A(H7N9) Virus Infection - CDC |
| 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 |
| 5425 |
Centers for Disease Control and Prevention |
Html |
en |
WARNING: Cigarettes cause fatal lung disease. |
null |
| right web address | 0.987879 |
| Español | 0.403508 |
| Language Assistance | 0.712207 |
| Português | 0.391584 |
| Kreyòl Ayisyen | 0.700648 |
| Instructions | 0.282468 |
| different file formats | 0.919531 |
| Tiếng Việt | 0.70734 |
| Deutsch | 0.348548 |
| help | 0.283342 |
|
| РуÑ?Ñ?кий | 0.283258 |
| Polski | 0.39029 |
| Tagalog | 0.362008 |
| options | 0.298124 |
| Français | 0.385004 |
| Downloading Viewers | 0.795919 |
| العربية | 0.436655 |
| information | 0.283148 |
| page | 0.385868 |
|
CLICK HERE |
| 7747 |
Centers for Disease Control and Prevention |
Html |
en |
Bartonella - Distribution |
Bartonella bacteria cause several diseases in humans. The three most common are cat scratch disease, caused by B. henselae; trench fever, caused by B. quintana; and Carrión's disease, caused by B. bacilliformis.
|
| feline bartonellosis | 0.374061 |
| young cats | 0.390006 |
| wild animals | 0.372244 |
| clear B. henselae | 0.428277 |
| Bartonella spp | 0.567113 |
| dogs | 0.40709 |
| stray cats | 0.45072 |
| public health risk | 0.423614 |
| Bartonella-specific DNA sequences | 0.419757 |
| infected cat | 0.385787 |
| Domestic pets | 0.379402 |
| blood transfusions | 0.384975 |
| worldwide dog populations | 0.431517 |
| Bartonella species. Cats | 0.725152 |
| Low seroprevalence | 0.373307 |
| Bartonella vinsonii subsp. | 0.665489 |
| reservoir hosts | 0.371501 |
| febrile illness | 0.3708 |
| Bartonella infections | 0.58191 |
| Bartonella henselae bacteremia | 0.817882 |
| immunofluorescence antibodies | 0.369886 |
| massive vegetative lesions | 0.427566 |
| Bartonella henselae | 0.905746 |
| human infection | 0.401282 |
| B. henselae | 0.490219 |
|
| healthy cats. Cats | 0.473855 |
| infected fleas | 0.424076 |
| swollen lymph nodes | 0.43905 |
| cat fights | 0.37841 |
| natural reservoir | 0.372551 |
| subclinical carriers | 0.371013 |
| sensitive diagnostic tool | 0.421967 |
| various species | 0.379317 |
| Bartonella clarridgeiae | 0.629223 |
| Bartonella-associated endocarditis | 0.383056 |
| Bartonella transmission | 0.557791 |
| granulomatous rhinitis | 0.379713 |
| clinical symptoms | 0.50438 |
| younger cats | 0.401503 |
| clinical signs | 0.37334 |
| Bartonella exposure | 0.576929 |
| granulomatous lymphadenitis | 0.382715 |
| Bartonella species. Bartonella | 0.89558 |
| advocate declawing cats | 0.446087 |
| infected blood | 0.403904 |
| symptomatic pets | 0.370868 |
| B. vinsonii berkhoffii | 0.433625 |
| various Bartonella species | 0.656441 |
| B. henselae infections | 0.440485 |
|
CLICK HERE |
| 7839 |
Centers for Disease Control and Prevention |
Html |
en |
Blindness - Health Communication |
Blindness and Vision Impairment - Gateway to Health Communication - CDC |
| assistive devices | 0.353043 |
| unrestricted driver | 0.374489 |
| major blinding eye | 0.997287 |
| irreversible visual impairment | 0.579699 |
| peripheral vision | 0.392 |
| associated costs | 0.34761 |
| insurance coverage | 0.351868 |
| corrective action | 0.349852 |
| federal government | 0.540648 |
| ethnic groups | 0.347932 |
| vision impairment | 0.939349 |
| productive life | 0.347886 |
| age-related macular degeneration | 0.841555 |
| working-age adults | 0.362503 |
| early treatment | 0.347079 |
| contact lenses | 0.383327 |
| U.S. population ages | 0.47014 |
| standard glasses | 0.384026 |
| blindness | 0.881825 |
| social interactions | 0.346874 |
| blood vessels | 0.485625 |
| better eye | 0.543914 |
| small blood vessels | 0.483171 |
| sharp central vision | 0.53049 |
| diabetic retinopathy | 0.890631 |
|
| low-income families | 0.35031 |
| Blind people | 0.367249 |
| Legal blindness | 0.729694 |
| worse vision | 0.417268 |
| severe vision impairment | 0.685268 |
| optic nerve | 0.355209 |
| residual vision | 0.387832 |
| environmental modifications | 0.348305 |
| best correction | 0.381561 |
| visual field | 0.381363 |
| vision rehabilitation | 0.387263 |
| daily activities | 0.519825 |
| blinding eye diseases | 0.986569 |
| tiny blood vessels | 0.480638 |
| retina | 0.399255 |
| everyday activities | 0.378355 |
| visually impaired people | 0.47367 |
| higher risk | 0.573828 |
| precise functional impairment | 0.637411 |
| Social Security disability | 0.480436 |
| personal income | 0.352784 |
| disability benefits | 0.530384 |
| vision loss | 0.379935 |
| blindness rises | 0.50982 |
|
CLICK HERE |
| 9185 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: July 14, 2011 |
MMWR News Synopsis: July 14, 2011 |
| motion picture companies | 0.67309 |
| average number | 0.429246 |
| methyl bromide | 0.956388 |
| Camp owners/managers | 0.423612 |
| average decrease | 0.512857 |
| outbreak investigation | 0.423613 |
| postfumigation methyl bromide | 0.700134 |
| Prevent Disease Associated | 0.502133 |
| methyl bromide levels | 0.696108 |
| youth smoking initiation | 0.541499 |
| virus endemic areas | 0.522962 |
| youth-rated movie | 0.429885 |
| dengue virus | 0.728613 |
| febrile illness | 0.414228 |
| mosquitoes-transmitted virus | 0.426364 |
| published policies | 0.422102 |
| CDC Division | 0.807324 |
| dengue fever | 0.549815 |
| major motion picture | 0.523311 |
| appropriate mosquito-avoidance strategies | 0.511316 |
| excessive methyl bromide | 0.684579 |
| causative agent | 0.418452 |
| appropriate strategies | 0.412599 |
| laboratory-confirmed dengue virus | 0.662704 |
| environmental exposures | 0.42005 |
|
| onscreen tobacco | 0.444141 |
| United States | 0.53092 |
| infected calves | 0.425438 |
| dengue outbreaks | 0.547803 |
| methyl bromide exposures | 0.814318 |
| Electronic Media | 0.793854 |
| National Cancer Institute | 0.540355 |
| appropriate mosquito-avoidance practices | 0.512497 |
| parasite Cryptosporidium | 0.466588 |
| causal relationship | 0.42881 |
| downward trend | 0.429224 |
| potential hazardous exposure | 0.501805 |
| methyl bromide-fumigated commodities | 0.594827 |
| dengue risks | 0.542469 |
| staff members | 0.498473 |
| motion picture company | 0.525196 |
| independent motion picture | 0.523173 |
| fumigation measures | 0.413565 |
| Alcohol-based hand sanitizers | 0.503585 |
| youth-rated movies | 0.423827 |
| pretravel knowledge | 0.416575 |
| tobacco incidents | 0.679378 |
| accessible handwashing stations | 0.492738 |
| infected persons | 0.428692 |
|
CLICK HERE |
| 10697 |
Centers for Disease Control and Prevention |
Html |
en |
Key Websites and Online Resources'Resources' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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 |
| 12310 |
Centers for Disease Control and Prevention |
Html |
en |
2013 Drug Overdose Mortality Data Announced |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Michael Botticelli | 0.410166 |
| Drug Abuse Prevention | 0.697763 |
| nation’s youth | 0.416919 |
| law enforcement efforts | 0.49337 |
| comprehensive approach | 0.497398 |
| prescription drug abuse | 0.887529 |
| Disease Control | 0.51142 |
| prescription drugs | 0.708094 |
| Law enforcement agencies | 0.502193 |
| drug trafficking | 0.461557 |
| home medicine cabinet | 0.49226 |
| drug problem | 0.472977 |
| prescription opioids | 0.704248 |
| Abuse Prevention Plan. | 0.507744 |
| Attorney General Eric | 0.486733 |
| largest upsurge | 0.417975 |
| mortality data | 0.515239 |
| public health crisis | 0.481311 |
| CDC Director Tom | 0.490547 |
| substance use disorders | 0.507127 |
| drug overdose mortality | 0.678695 |
| primary care physicians | 0.489049 |
| prescription drug monitoring | 0.646199 |
| foreign nations | 0.409086 |
| Drug Control Policy | 0.900807 |
|
| tribal law enforcement | 0.522464 |
| life-saving opioid overdose | 0.612442 |
| United States | 0.500144 |
| White House Office | 0.710993 |
| prescription drug overdose | 0.701474 |
| law enforcement | 0.789074 |
| reversal drug | 0.457428 |
| opioid crisis | 0.454228 |
| future overdose | 0.471093 |
| Drug Enforcement Administration | 0.573949 |
| Obama Administration | 0.498205 |
| opioid analgesics | 0.494168 |
| public safety leaders | 0.487515 |
| drug deaths | 0.540321 |
| Abuse Prevention Plan | 0.495585 |
| opioid use disorders | 0.474094 |
| domestic law enforcement | 0.492825 |
| mortality rate | 0.421326 |
| federal drug control | 0.538065 |
| prescription painkillers | 0.511737 |
| healthcare setting | 0.408602 |
| Healthcare providers | 0.409136 |
| National Drug Control | 0.900878 |
| drug-induced deaths | 0.441651 |
|
CLICK HERE |
| 12468 |
Centers for Disease Control and Prevention |
Video |
en |
June 2013 ACIP Meeting -- Opening Remarks |
Opening remarks for June 2013 The U.S. Advisory Committee of Immunization Practices meeting hosted by Dr. Jon Temte and Dr. Larry Pickering.
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://streaming.cdc.gov/vod.php?id=6d1740eceeb88604b828ba9580b53bc620130730140231828 |
|
|
CLICK HERE |
| 13511 |
Centers for Disease Control and Prevention |
Html |
en |
Success Stories in Environmental Health | CDC Features |
Did you know that your environment and your health are connected? The National Center for Environmental Health (NCEH) and the Agency for Toxic Substances and Disease Registry (ATSDR) protect and promote environmental health across the United States. |
| NCEH epidemiologists | 0.646121 |
| CDC | 0.453502 |
| people’s lives | 0.484 |
| dangerous events | 0.489614 |
| scientific expertise | 0.480622 |
| environmental health | 0.624523 |
| Arizona health | 0.506114 |
| Amyotrophic Lateral Sclerosis | 0.551537 |
| Disease Control | 0.489688 |
| toxic substances | 0.924784 |
| blood sample | 0.489216 |
| real difference | 0.478127 |
| population-based estimate | 0.48726 |
| national health agencies | 0.571327 |
| ALS prevalence | 0.484815 |
| National Center | 0.571695 |
| liver disease | 0.490157 |
| different focus | 0.482133 |
| sister agency | 0.487107 |
| water | 0.431145 |
| Humboldt Smelter Site | 0.566895 |
| environmental hazards | 0.563184 |
| different types | 0.483612 |
| environment agencies | 0.501122 |
| ATSDR | 0.709678 |
|
| health condition | 0.497537 |
| contaminated food | 0.481263 |
| NCEH | 0.783833 |
| ATSDR’s National | 0.591447 |
| actual examples | 0.488118 |
| foodborne illness outbreaks | 0.542278 |
| environmental exposures | 0.491886 |
| Wikimedia Commons | 0.491487 |
| ATSDR staff | 0.668051 |
| community members | 0.486868 |
| people’s health | 0.500092 |
| United States | 0.63396 |
| common issues | 0.4853 |
| Iron King | 0.488297 |
| tracks health problems | 0.571773 |
| ALS Registry | 0.484849 |
| stories | 0.424769 |
| hazardous substances | 0.513343 |
| harmful amounts | 0.495387 |
| health | 0.634352 |
| EPA | 0.432406 |
| air pollution | 0.478795 |
| information | 0.427952 |
| Disease Registry | 0.568251 |
|
CLICK HERE |
| 14266 |
Centers for Disease Control and Prevention |
Html |
en |
Revision to CDC's Zika Travel Notices: Minimal Likelihoodfor Mosquito-Borne Zika Virus Transmission at Elevations Above2,000 Meters | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| mosquito-borne Zika virus | 0.49069 |
| current geographic data | 0.274653 |
| digital elevation model | 0.276257 |
| high elevations | 0.357478 |
| Zika virus | 0.975944 |
| subnational travel alerts | 0.29057 |
| recent Zika virus | 0.376354 |
| pregnant women | 0.32562 |
| Ae. albopictus persistence | 0.274147 |
| unsuitable ecologic factors | 0.285582 |
| CDC Zika virus | 0.378211 |
| active Zika virus | 0.364392 |
| U.S. territories | 0.449295 |
| U.S. territory | 0.314913 |
| certain elevations | 0.28672 |
| Zika virus transmission.†| 0.362841 |
| Zika virus presence | 0.345251 |
| ongoing Zika virus | 0.57532 |
| Zika virus disease | 0.363585 |
| countries | 0.293195 |
| Ae. aegypti | 0.619436 |
| Zika travel notice | 0.300652 |
| Aedes aegypti mosquitoes | 0.356405 |
| Zika virus transmission | 0.782552 |
| dengue virus transmission | 0.337188 |
|
| American Health Organization | 0.274068 |
| quantifiable ecologic variable | 0.292117 |
| maternal Zika virus | 0.376159 |
| Aedes species | 0.286442 |
| human dengue cases | 0.282594 |
| geographic data | 0.306724 |
| Zika virus risk | 0.362547 |
| Zika virus transmission.** | 0.346021 |
| Zika virus cases | 0.401441 |
| multiple data sets | 0.277035 |
| predominant Zika virus | 0.361425 |
| subnational travel notices | 0.329482 |
| 100-m elevation segments | 0.275548 |
| ecologic factors | 0.330724 |
| precisely defined areas | 0.273576 |
| Zika virus transmission. | 0.342918 |
| elevations | 0.400045 |
| global data | 0.275892 |
| incomplete surveillance data | 0.277413 |
| global geographic data | 0.279566 |
| travel notices | 0.331982 |
| human population density | 0.332663 |
| alert travel notice* | 0.290794 |
| sea level | 0.277347 |
|
CLICK HERE |