| 7233 |
Centers for Disease Control and Prevention |
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Race/Ethnicity, Adults 65 Years and Older - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 65 Years and Older - CDC |
| Native Hawaiian | 0.364266 |
| Pacific Islander | 0.404771 |
| data | 0.31905 |
| report Final estimates | 0.454714 |
| United States | 0.215383 |
| season estimates | 0.211501 |
| influenza vaccination coverage | 0.621152 |
| methods | 0.209801 |
| U.S. civilian population | 0.374798 |
| Risk Factor Surveillance | 0.409947 |
| recent influenza seasons | 0.353281 |
| seasonal influenza vaccination | 0.96844 |
| Monovalent Vaccination Coverage | 0.461208 |
| vaccination coverage | 0.66394 |
|
| Alaska Native | 0.362722 |
| Excludes U.S. territories | 0.410817 |
| Additional estimates | 0.216823 |
| estimates | 0.630747 |
| high risk conditions | 0.229118 |
| vaccination periods | 0.254694 |
| influenza season | 0.414227 |
| H1N1 Flu Survey | 0.381627 |
| BRFSS adult estimates | 0.310545 |
| Coverage estimates | 0.236942 |
| Confidence Interval | 0.223316 |
| vaccination recommendations | 0.259273 |
| vaccination data | 0.290953 |
| national weighted estimates | 0.343671 |
|
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Race/Ethnicity, Adults 18 to 64 Years - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 18 to 64 Years - CDC |
| Native Hawaiian | 0.361139 |
| Pacific Islander | 0.401308 |
| data | 0.34755 |
| report Final estimates | 0.452488 |
| United States | 0.213509 |
| season estimates | 0.211493 |
| influenza vaccination coverage | 0.620317 |
| methods | 0.206886 |
| U.S. civilian population | 0.371753 |
| Risk Factor Surveillance | 0.406564 |
| recent influenza seasons | 0.352328 |
| seasonal influenza vaccination | 0.964802 |
| Monovalent Vaccination Coverage | 0.459594 |
| vaccination coverage | 0.660459 |
| Alaska Native | 0.359528 |
|
| Excludes U.S. territories | 0.407611 |
| Additional estimates | 0.216549 |
| estimates | 0.623437 |
| high risk conditions | 0.227347 |
| vaccination periods | 0.25463 |
| influenza season | 0.412603 |
| H1N1 Flu Survey | 0.37871 |
| BRFSS adult estimates | 0.309739 |
| Coverage estimates | 0.237058 |
| Confidence Interval | 0.221431 |
| Data Source | 0.309685 |
| vaccination recommendations | 0.259088 |
| vaccination data | 0.290149 |
| national weighted estimates | 0.342992 |
|
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Centers for Disease Control and Prevention |
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Hantavirus Pulmonary Syndrome (HPS) - Health Communication |
Hantavirus Pulmonary Syndrome (HPS) - Gateway to Health Communication - CDC |
| South America | 0.484788 |
| pet food | 0.471238 |
| rodent droppings | 0.608935 |
| lung disease | 0.482829 |
| cough | 0.341389 |
| rodents | 0.380983 |
| hantaviruses | 0.371299 |
| supportive clinical treatment | 0.638081 |
| quaint older home | 0.61824 |
| lungs | 0.339119 |
| chest | 0.334976 |
| Risky activities | 0.501713 |
| trail shelters | 0.477323 |
| tight band | 0.507212 |
| nesting places | 0.499619 |
| symptoms | 0.335905 |
| certain mice | 0.671665 |
| health problems | 0.479239 |
| Keith | 0.358209 |
| snap traps | 0.478053 |
| excellent health | 0.47466 |
| rat urine | 0.518485 |
| cool weather | 0.463311 |
| newly wed Barbie | 0.622997 |
| materials,safe clean-up methods | 0.616589 |
|
| nearby deer mice | 0.762853 |
| best method | 0.479146 |
| United States | 0.862419 |
| HPS | 0.830478 |
| Hantavirus pulmonary syndrome | 0.70565 |
| mice | 0.950728 |
| house air | 0.464439 |
| muscle aches | 0.519012 |
| life-threatening disease | 0.512794 |
| rats | 0.576484 |
| good meal | 0.464541 |
| small opening | 0.471567 |
| early intervention | 0.483112 |
| old sofa cushion | 0.607716 |
| people | 0.403774 |
| nesting materials | 0.682613 |
| saliva | 0.340523 |
| fresh urine | 0.534759 |
| sensation | 0.337895 |
| rural Washington State | 0.613174 |
| virus particles | 0.482306 |
| pillow | 0.335121 |
| shortness | 0.348034 |
| droppings | 0.689016 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Cooperative Strategies to Develop Effective Stroke and Heart Attack Awareness Messages in Rural American Indian Communities, 2009"2010 - CDC |
National initiatives to improve the recognition of heart attack and stroke warning signs have encouraged symptomatic people to seek early treatment, but few have shown significant effects in rural American Indian (AI) communities. |
| stroke public education | 0.486639 |
| Crystelle C. Fogle | 0.492492 |
| relevant financial relationships | 0.489647 |
| strong heart study | 0.483507 |
| Human Services | 0.49412 |
| stroke signs | 0.500051 |
| stroke warning signs | 0.519887 |
| Doreen S. Bell | 0.490206 |
| tribal health departments | 0.590182 |
| stroke awareness campaign | 0.495664 |
| stroke mortality | 0.489315 |
| maintenance campaign | 0.504051 |
| Montana | 0.525289 |
| high-intensity campaign | 0.520624 |
| local heart attack | 0.492478 |
| baseline | 0.484458 |
| potential heart attack | 0.490145 |
| American Indians | 0.489336 |
| symptoms | 0.488012 |
| respondents | 0.487085 |
| Cree Tribal Health | 0.48065 |
| Montana CVH Program | 0.49954 |
| belknap tribal health | 0.518312 |
| telephone surveys | 0.484327 |
| Public Health | 0.499851 |
|
| heart disease death | 0.485565 |
| heart attack | 0.945983 |
| Carrie S. Oser | 0.499138 |
| Rocky Boy | 0.573174 |
| public education campaigns | 0.529268 |
| stroke campaign | 0.491441 |
| stroke awareness campaigns | 0.481894 |
| signs | 0.55723 |
| Cardiovascular Health Program | 0.520288 |
| AI communities | 0.4964 |
| heart disease | 0.551201 |
| public awareness campaigns | 0.481894 |
| stroke campaigns | 0.481743 |
| public education | 0.539874 |
| Montana Cardiovascular Health | 0.493829 |
| heart attack campaign | 0.546136 |
| tribal health department | 0.511725 |
| stroke | 0.64092 |
| stroke death rates | 0.482259 |
| attack warning signs | 0.556252 |
| tribal health | 0.635423 |
| Fort Belknap | 0.617414 |
| et al | 0.509024 |
| Montana Department | 0.482081 |
|
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HAN Archive - 00356 - Acute Hepatitis and Liver Failure Following the Use of a Dietary Supplement Intended for Weight Loss or Muscle Building |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| acute-onset hepatitis | 0.485428 |
| building dietary supplement | 0.597346 |
| light-colored stools | 0.3812 |
| Hawaii DOH | 0.390853 |
| Hawaii Department | 0.383977 |
| severe acute hepatitis | 0.552743 |
| upper limit | 0.430237 |
| non-prescription weight loss | 0.446301 |
| acute hepatitis | 0.968653 |
| muscle building | 0.726253 |
| state health departments | 0.440773 |
| dark urine | 0.381938 |
| building nutritional supplement | 0.485923 |
| median age | 0.399495 |
| commonly reported symptoms | 0.486171 |
| patients | 0.588598 |
| weight loss | 0.807301 |
| liver transplants | 0.395071 |
| Median laboratory values | 0.456005 |
| OxyELITE Pro | 0.541182 |
| CDC requests | 0.419019 |
| PM ET | 0.389891 |
| illness onset | 0.65595 |
| public health agencies | 0.465952 |
| healthcare providers | 0.387415 |
|
| CDC Health Alert | 0.512534 |
| liver biopsy data | 0.465463 |
| sudden liver failure | 0.629492 |
| explicative etiologies | 0.396355 |
| dietary supplement | 0.741167 |
| laboratory test | 0.379913 |
| unknown cause | 0.555747 |
| enhances health decisions | 0.443601 |
| critical health issues | 0.445982 |
| autoimmune hepatitis | 0.448892 |
| -negative workup | 0.381763 |
| public health alert | 0.455616 |
| dietary supplements | 0.407606 |
| hepatocellular necrosis | 0.384155 |
| health departments | 0.448123 |
| drug/toxic injury | 0.37992 |
| previously healthy individuals | 0.462305 |
| potential etiologies | 0.399011 |
| unknown etiology | 0.439426 |
| median duration | 0.395222 |
| emergency departments | 0.38369 |
| medical care | 0.387765 |
| liver biopsy findings | 0.46247 |
| comprehensive evaluation | 0.386284 |
|
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Disease Detective: Ben - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| chlorine water | 0.742245 |
| high stress situation | 0.838539 |
| Emory University | 0.758965 |
| Ebola outbreak | 0.809146 |
| dinner conversation | 0.742003 |
| undergraduate degrees | 0.754699 |
| easy process | 0.731398 |
| big problem | 0.740027 |
| appropriate dilution | 0.735277 |
| unexpected effect | 0.732929 |
| shaggy style | 0.759395 |
| resistant communities | 0.743268 |
| over-stimulating environments | 0.729535 |
| safe burial practices | 0.866942 |
| Ebola prevention messages | 0.894687 |
| West Africa. | 0.762374 |
| bad idea | 0.723362 |
| wide range | 0.738783 |
| strong underlying mistrust | 0.872055 |
| Peace Corps experience | 0.864398 |
| low-maintenance look | 0.773726 |
| unsafe methods | 0.745686 |
| chlorine solutions | 0.741252 |
| religious leaders | 0.740386 |
| health communications specialist | 0.872901 |
|
| start teaching | 0.754583 |
| handwashing station | 0.736659 |
| CDC epidemiologist Benjamin | 0.93683 |
| public places | 0.734952 |
| difficult challenges | 0.734889 |
| safer method | 0.742511 |
| long-time CDC employees | 0.91903 |
| public health | 0.759857 |
| Peace Corps | 0.899627 |
| Complex humanitarian emergencies | 0.833372 |
| entire city | 0.727388 |
| big push | 0.734596 |
| health communication plan | 0.871738 |
| much-needed skills | 0.757334 |
| healthcare-seeking behavior | 0.745839 |
| primary objectives | 0.742384 |
| Taxi cab drivers | 0.846334 |
| Liberia | 0.71402 |
| significant challenge | 0.72194 |
| widespread attempt | 0.733577 |
| healthcare workers | 0.744574 |
| concentrated bleach | 0.748669 |
| family business | 0.748163 |
| people Daddy | 0.733238 |
|
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Update: Influenza Activity - United States, September 28,2014-February 21, 2015 |
World Health Organization Collaborating Center for Surveillance, Epidemiology, and Control of Influenza, Tiffany D'Mello, MPH1, Lynnette Brammer, MPH1, Lenee Blanton, MPH1, Krista Kniss, MPH1, Sophie Smith, MPH1, Desiree Mustaquim, MPH1, Craig Steffens, MPH1, Rosaline Dhara, MPH1, Jessica Cohen, MPH1, Sandra S. Chaves, MD1, Lyn Finelli, DrPH1, Joseph Bresee, MD1, Teresa Wallis, MS1, Xiyan Xu, MD1, Anwar Isa Abd Elal, BScCS1, Larisa Gubareva, PhD1, David Wentworth, PhD1, Julie Villanueva, PhD1, Jackie Katz, PhD1, Daniel Jernigan, MD1 (Author affiliations at end of text). |
| influenza | 0.978728 |
| influenza hospitalization surveillance | 0.534069 |
| CDC influenza surveillance | 0.411052 |
| little influenza virus | 0.407231 |
| United States | 0.453028 |
| novel influenza | 0.45652 |
| quadrivalent influenza vaccine | 0.427604 |
| influenza A viruses | 0.520733 |
| Northern Hemisphere vaccines | 0.326572 |
| clinician-ordered influenza testing | 0.398363 |
| influenza symptoms | 0.382707 |
| Hemisphere influenza vaccine | 0.466244 |
| current influenza season | 0.417849 |
| New York City | 0.317899 |
| influenza B component | 0.41487 |
| Northern Hemisphere | 0.347564 |
| influenza antiviral medications | 0.403219 |
| influenza B viruses | 0.607042 |
| high ILI activity | 0.389279 |
| U.S. Virgin Islands | 0.313968 |
| Cities Mortality Reporting | 0.309247 |
| laboratory-confirmed influenza | 0.473372 |
| influenza A virus | 0.451747 |
|
| Southern Hemisphere influenza | 0.46667 |
| Influenza surveillance reports | 0.40768 |
| influenza vaccine | 0.513567 |
| New York | 0.341873 |
| Rhode Island | 0.311441 |
| influenza season | 0.534574 |
| influenza B infection | 0.390847 |
| World Health Organization | 0.356284 |
| influenza activity | 0.497726 |
| quadrivalent influenza vaccines | 0.424176 |
| laboratory-confirmed influenza infection | 0.419615 |
| U.S. influenza activity* | 0.447748 |
| Enteric Virus Surveillance | 0.318182 |
| influenza vaccination | 0.382954 |
| recent influenza | 0.379428 |
| influenza seasons | 0.455118 |
| ILI activity | 0.43243 |
| influenza surveillance | 0.422641 |
| influenza viruses | 0.597664 |
| influenza virus | 0.42062 |
| influenza-associated hospitalizations | 0.309312 |
| vaccine-like influenza | 0.384414 |
| additional Influenza Hospitalization | 0.409698 |
|
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Announcements: National Youth HIV and AIDS Awareness Day -April 10, 2015 |
National Youth HIV and AIDS Awareness Day on April 10 is the first awareness day to recognize the specific impact of HIV/AIDS epidemic on young persons. A disproportionate number of new HIV infections occurs among youths (1). In the United States, young persons aged 13–24 years accounted for an estimated 26% of all new HIV infections in 2010 (1). |
| National HIV/AIDS Strategy | 0.370567 |
| Task Force | 0.228526 |
| new HIV infections | 0.848565 |
| National Youth HIV | 0.791146 |
| Human Services | 0.336719 |
| HIV prevention | 0.661567 |
| Act Against AIDS | 0.232225 |
| health risk behaviors | 0.376694 |
| U.S. Department | 0.336949 |
| MMWR HTML versions | 0.325848 |
| public health departments | 0.343801 |
| blacks/African Americans | 0.231946 |
| local school-based surveys | 0.343602 |
| electronic PDF version | 0.316196 |
| special emphasis | 0.231528 |
| skill building | 0.227783 |
| prevent HIV | 0.422156 |
| Additional information | 0.225109 |
| Contact GPO | 0.24192 |
| lifelong health | 0.241402 |
| AIDS Awareness | 0.362483 |
| specific impact | 0.248873 |
| community-based organizations | 0.224882 |
| age groups | 0.236425 |
|
| U.S. high school | 0.356176 |
| HIV/AIDS epidemic | 0.273465 |
| original paper copy | 0.320217 |
| high risk | 0.239395 |
| multifaceted approach | 0.234759 |
| new infections | 0.253618 |
| United States | 0.246915 |
| U.S. Government Printing | 0.33131 |
| original MMWR paper | 0.32201 |
| disproportionate number | 0.261882 |
| youths | 0.239283 |
| MMWR readers | 0.229072 |
| high-risk groups | 0.231826 |
| health services | 0.249437 |
| CDC funds | 0.306883 |
| education agencies | 0.227801 |
| HIV prevention education | 0.546844 |
| risk reduction interventions | 0.367703 |
| HIV/AIDS prevention | 0.353172 |
| behavioral interventions | 0.240715 |
| tribal government | 0.22965 |
| young persons | 0.933239 |
| community settings | 0.228763 |
| HIV prevention interventions | 0.585743 |
|
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Distracted Driving | NIOSH Workplace Safety and HealthTopic |
Distracted driving occurs any time you take your eyes off the road, your hands off the wheel, and your mind off your primary task: driving safely. Any non-driving activity you engage in is a potential distraction and increases your risk of being involved in a motor vehicle crash. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
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Centers for Disease Control and Prevention |
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Zika Virus in Central America - Alert - Level 2, Practice Enhanced Precautions - Travel Health Notices |
Zika travel information, zika virus |
| South America | 0.724604 |
| Central America | 0.727575 |
| Papua New Guinea | 0.832255 |
| Caicos Islands | 0.744948 |
| Zika infection | 0.763712 |
| East Timor | 0.728513 |
| travel recommendations | 0.713351 |
| Zika virus | 0.847966 |
| visit Areas | 0.753066 |
| severe birth defects | 0.839429 |
| North America | 0.727087 |
| Solomon Islands | 0.735682 |
| pregnant women | 0.96146 |
| El Salvador | 0.721631 |
| European CDC | 0.794394 |
| Marshall Islands | 0.733026 |
| Zika virus country | 0.841231 |
| Saint Kitts | 0.736672 |
| scientific literature | 0.7124 |
| World Health Organization | 0.811558 |
| South Sudan | 0.74006 |
| Pacific Islands | 0.738696 |
| Democratic Republic | 0.730375 |
| Sint Eustatius | 0.753694 |
|
| Central African Republic | 0.843855 |
| up-to-date information | 0.852778 |
| travel plans | 0.85016 |
| Côte d’Ivoire | 0.741066 |
| Puerto Rico | 0.715401 |
| French Guiana | 0.725539 |
| Sierra Leone | 0.724168 |
| Saint Vincent | 0.727308 |
| Equatorial Guinea | 0.744489 |
| international destinations | 0.739529 |
| Costa Rica | 0.712256 |
| Cape Verde | 0.730372 |
| Saint Martin | 0.732662 |
| CDC Travelers | 0.889888 |
| Sint Maarten | 0.749018 |
| visit CDC | 0.836957 |
| Zika website | 0.768911 |
| prevention steps | 0.729844 |
| sexual transmission | 0.723641 |
| countries/territories/subnational areas | 0.715452 |
| Saint Lucia | 0.732654 |
| current information | 0.754345 |
| British Virgin Islands | 0.844911 |
| Dominican Republic | 0.724648 |
|
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