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Centers for Disease Control and Prevention |
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2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7756 |
Centers for Disease Control and Prevention |
Html |
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Update: Influenza Activity - United States, September30-November 24, 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. |
| ILI activity ††| 0.532459 |
| influenza §§ | 0.60375 |
| Influenza Div | 0.597428 |
| influenza A viruses | 0.663476 |
| influenza vaccine viruses | 0.662104 |
| Hemisphere influenza vaccine | 0.633654 |
| New York City | 0.538256 |
| outpatient visits | 0.499186 |
| influenza antiviral medications | 0.621406 |
| ILI activity level | 0.532099 |
| moderate ILI activity | 0.531087 |
| Influenza virus–positive tests | 0.635821 |
| influenza A virus | 0.628546 |
| respiratory specimens | 0.525557 |
| influenza vaccine | 0.668407 |
| World Health Organization | 0.595993 |
| influenza activity | 0.803132 |
| influenza surveillance systems | 0.632878 |
| U.S. Outpatient ILI | 0.529407 |
| minimal ILI activity | 0.530367 |
| Sporadic influenza activity | 0.64485 |
| influenza virus circulation | 0.607422 |
| ILI activity | 0.669392 |
| influenza b viruses | 0.770578 |
|
| laboratory-confirmed influenza cases | 0.604824 |
| influenza | 0.959998 |
| CDC influenza surveillance | 0.68373 |
| United States | 0.813937 |
| novel influenza | 0.645725 |
| influenza-related pediatric deaths | 0.541865 |
| low ILI activity | 0.532437 |
| influenza complications*** | 0.593838 |
| influenza B component | 0.609318 |
| high ILI activity | 0.532585 |
| influenza A vaccine | 0.613312 |
| U.S. Virgin Islands | 0.585928 |
| National Influenza Vaccination | 0.659909 |
| recent laboratory evidence | 0.501799 |
| Cities Mortality Reporting | 0.575165 |
| laboratory-confirmed influenza | 0.605941 |
| Influenza surveillance reports | 0.626352 |
| overall influenza activity | 0.634325 |
| influenza season | 0.746101 |
| U.S. influenza activity* | 0.659326 |
| Enteric Virus Surveillance | 0.579177 |
| Illness Surveillance Network | 0.524053 |
| influenza seasons | 0.599302 |
| influenza viruses | 0.847001 |
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| 8620 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - In Memorial, Bernice Geller Deady |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| Bernice Geller Deady | 0.941932 |
| expensive Lladró® collectibles | 0.333451 |
| 60th wedding anniversary | 0.660163 |
| flu victims | 0.22059 |
| Belva Geller Griffin | 0.389641 |
| familial lore | 0.201892 |
| early 1900s | 0.205246 |
| Leo Deady | 0.432599 |
| twins | 0.304333 |
|
| Dan Deady | 0.390281 |
| Mary Eleanor Deady | 0.55206 |
| Leolia Griffin Smith | 0.331087 |
| deathly shade | 0.216641 |
| twin boys | 0.210818 |
| Grandmother Bernice | 0.694978 |
| Barbara Deady Weikert | 0.522221 |
| incorrigible genealogy habit | 0.344282 |
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| 10278 |
Centers for Disease Control and Prevention |
Html |
en |
Before a Wildfire - Prepare Your Home |
The Centers for Disease Control and Prevention (CDC) provides information on how to stay safe and healthy before, during, and after a wildfire including avoiding health impacts from wildfire smoke and cleaning up safely. |
| areas | 0.522533 |
| office | 0.501515 |
| full-sized image | 0.945947 |
| wildfires | 0.67088 |
| landscaping | 0.547411 |
| steps | 0.539413 |
| people | 0.523212 |
| home | 0.74003 |
|
| Ready | 0.541313 |
| print | 0.502381 |
| wildfire | 0.991122 |
| homes | 0.522805 |
| risk | 0.509611 |
| Infographic | 0.501415 |
| family | 0.507414 |
|
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| 12700 |
Centers for Disease Control and Prevention |
Video |
en |
Jamie Foxx Talks About HIV |
Jamie Foxx speaks to the urgency of the HIV epidemic among young African Americans and encourages people to talk about HIV.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html |
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Centers for Disease Control and Prevention |
Html |
en |
Update on Progress in Selected Public Health ProgramsAfterthe 2010 Earthquake and Cholera Epidemic - Haiti, 2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| Barbara J. Marston | 0.753035 |
| Haemophilus influenzae type | 0.630196 |
| antiretroviral therapy enrolment | 0.631223 |
| national sentinel surveillance | 0.624651 |
| David W. Lowrance | 0.641117 |
| physical health infrastructure | 0.645378 |
| immediate post-earthquake period | 0.627841 |
| sanitation infrastructure | 0.626595 |
| cold chain capacity | 0.654602 |
| nucleic acid amplification | 0.696648 |
| metropolitan Port-au-Prince | 0.660317 |
| Health Organization target | 0.654637 |
| Haiti Health Systems | 0.836411 |
| local human capacity | 0.643512 |
| lymphatic filariasis mass | 0.630165 |
| global health | 0.663094 |
| World Health Organization | 0.759152 |
| largest cholera epidemic | 0.690895 |
| health programs | 0.698128 |
| acid amplification capacity | 0.635708 |
| routine immunization schedule | 0.622811 |
| cholera epidemic | 0.727945 |
| active tuberculosis cases | 0.635686 |
| key health programs | 0.685182 |
|
| J. Wysler Domercant | 0.642902 |
| rapid diagnostic tests | 0.708446 |
| human immunodeficiency virus | 0.629596 |
| global health security | 0.652784 |
| Haiti | 0.912474 |
| Laboratory diagnostic capacity | 0.64296 |
| internally displaced persons | 0.633274 |
| vaccine storage capacity | 0.658879 |
| clinically diagnosed malaria | 0.625171 |
| regional-level storage capacity | 0.657938 |
| cold storage capacity | 0.741683 |
| metropolitan Port-au-Prince set | 0.657826 |
| public health threats | 0.672067 |
| Extremely weak water | 0.630873 |
| public health | 0.693155 |
| key health indicators | 0.649905 |
| Global Health Protection | 0.651438 |
| rabies surveillance data | 0.625029 |
| public health programs | 0.656807 |
| weak water | 0.631581 |
| Florence D. Guillaume | 0.633353 |
| metropolitan Port-au-Prince area | 0.650278 |
| malaria pre-elimination stage | 0.628414 |
| African Ebola epidemic | 0.624021 |
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Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis for February 26, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Deputy Director Communications | 0.40548 |
| Ebola treatment unit | 0.478265 |
| public health intervention | 0.420626 |
| effective community quarantine | 0.432523 |
| public health interventions | 0.415788 |
| pulmonary tuberculosis | 0.614604 |
| Effective prevention approaches | 0.38786 |
| U.S. emergency departments | 0.383005 |
| airborne infection isolation | 0.675762 |
| room staff members | 0.392836 |
| infection prevention department | 0.444396 |
| basic infection prevention | 0.440875 |
| mental health problems | 0.416784 |
| effective patient care | 0.379228 |
| patients | 0.325712 |
| patient care | 0.463655 |
| health care costs | 0.418101 |
| Unpasteurized Goat Milk | 0.362887 |
| traditional microscopy-based methods | 0.502129 |
| Ebola outbreaks | 0.568826 |
| patient safety protocols | 0.396031 |
| infection isolation precautions | 0.405267 |
| seed outbreaks | 0.342976 |
| CDC Media Relations | 0.958715 |
| physical assault-related injuries | 0.382315 |
|
| Local traditional leaders | 0.381888 |
| community members | 0.323575 |
| valuable medical resources | 0.36116 |
| basic telephone access | 0.367989 |
| community leaders | 0.321916 |
| infection control | 0.345877 |
| community factors | 0.322036 |
| Cepheid Xpert MTB/RIF | 0.52599 |
| Wisconsin Division | 0.312745 |
| valuable hospital resources | 0.367982 |
| community quarantine | 0.538862 |
| youth violence | 0.706245 |
| surgical patient care | 0.406998 |
| subsequent outbreaks | 0.343036 |
| public health | 0.695678 |
| remote areas | 0.385778 |
| Xpert MTB/RIF Assay | 0.824901 |
| New Jersey Department | 0.410374 |
| new Ebola cases | 0.472867 |
| significant public health | 0.421177 |
| community needs | 0.318582 |
| logistically difficult settings | 0.362142 |
| infection prevention | 0.471256 |
| public health problem | 0.544305 |
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Centers for Disease Control and Prevention |
Image |
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Unique Factors Place Youth at Risk for STIs |
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| 15766 |
Centers for Disease Control and Prevention |
Video |
en |
Know Your Nailer: Nail Gun Safety |
Nail guns are widely used on many construction jobs, especially in residential construction. While they boost productivity in some situations they may also cause tens of thousands of painful injuries each year. By using a nailer in full sequential mode, many of these injuries can be prevented.
For more information on nail gun safety:
NIOSH Nail Gun Safety: http://www.cdc.gov/niosh/topics/nailgun/
Straight Talk about Nail Gun Safety: http://www.cdc.gov/niosh/docs/2013-149/ |
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Centers for Disease Control and Prevention |
Html |
en |
Harmful Algal Bloom (HAB)-Associated Illness | General Information |
null |
| harmful algal bloom | 0.635306 |
| HABs | 0.569158 |
| HAB event | 0.489376 |
| HAB forms | 0.445999 |
| marine water bodies | 0.428242 |
| Great Lakes | 0.397398 |
| Health Harmful Algal | 0.427159 |
| brackish water | 0.417973 |
| HABs exposure | 0.397612 |
| HAB development | 0.424275 |
| state health departments | 0.339634 |
| public drinking water | 0.493717 |
| Great Lakes Water | 0.39734 |
| drinking water supply | 0.407567 |
| algal blooms | 0.495215 |
| aerosolized water | 0.347212 |
| HAB toxins | 0.824752 |
| nuisance blooms | 0.341796 |
| water | 0.987479 |
| individual cases | 0.371786 |
| water quality | 0.364222 |
| algal bloom | 0.887084 |
| Environmental Protection Agency | 0.427631 |
| local ecology | 0.343681 |
|
| tap water | 0.478849 |
| United States | 0.685722 |
| algal toxins levels | 0.458772 |
| microscopic marine organisms | 0.359291 |
| single-celled aquatic organisms | 0.34253 |
| state health department | 0.346514 |
| cyanobacteria | 0.402021 |
| Contaminant Candidate List | 0.398795 |
| water body ecology | 0.388732 |
| drinking water | 0.53056 |
| HABs events | 0.359138 |
| contaminated water | 0.399311 |
| salt water | 0.46379 |
| water surface | 0.357982 |
| health department | 0.381449 |
| water different colors | 0.417742 |
| local water body | 0.410498 |
| drinking water systems | 0.400933 |
| marine waters | 0.427663 |
| healthcare provider | 0.384261 |
| marine water fish | 0.683091 |
| brackish waters | 0.341986 |
| tap water taste | 0.38734 |
| fresh water | 0.358099 |
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