| 2995 |
Centers for Disease Control and Prevention |
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Surgeon General Video Contest: Not Quite So Different |
Two women, different on the surface, discover that they may both suffer from similar health problems in the future, because they are both smokers. Created by First Runner-up, William Bowman |
| CDC | 0.457935 |
| Billie Jean Dancing | 0.434491 |
| Ultra Runner | 0.451241 |
| Mental Health | 0.381044 |
| Dreams | 0.327244 |
| Bryan Curtis story | 0.427651 |
| Caryn Salvant | 0.377986 |
| Disease Control | 0.804977 |
| tengo el poder | 0.467319 |
| BODY TOXING | 0.373519 |
| Duplin TRU Team | 0.614748 |
| Alcohol Abuse | 0.368703 |
| runner | 0.655738 |
| Impact | 0.329427 |
| age category | 0.379147 |
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| Young Adults | 0.374785 |
| Duration | 0.906806 |
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| Tobacco | 0.369036 |
| similar health problems | 0.453751 |
| William Bowman | 0.384129 |
| Prince Ea | 0.376672 |
| women | 0.344647 |
| Centers | 0.402535 |
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| Forbidden Cures | 0.372771 |
| Grand Prize | 0.615564 |
| smokers | 0.376144 |
| Drug Abuse Program | 0.434092 |
| Skin Smoothing | 0.376969 |
| Mark Cooper | 0.373607 |
| Flight Nurse | 0.370863 |
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| Health Issue | 0.375808 |
| Video Contest | 0.383946 |
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| views | 0.617422 |
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| Body Smoking | 0.37226 |
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| 4725 |
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What You Should Know and Do this Flu Season If You Are 65 Years and Older |
What You Should Know and Do this Flu Season If You Are 65 Years and Older - CDC |
| pneumococcal vaccines | 0.447614 |
| best way | 0.381381 |
| adjuvanted flu vaccine | 0.729894 |
| pneumococcal vaccine | 0.469569 |
| greater risk | 0.388063 |
| upcoming season | 0.385781 |
| pneumococcal vaccination | 0.396921 |
| annual vaccination | 0.407856 |
| severe flu disease | 0.685822 |
| high risk | 0.489149 |
| seasonal flu-related hospitalizations | 0.503493 |
| season’s vaccine | 0.487082 |
| Canadian observational study | 0.438402 |
| vaccination | 0.429196 |
| flu symptoms | 0.560403 |
| greatest burden | 0.385399 |
| healthy adults | 0.384471 |
| United States | 0.449497 |
| age group | 0.458912 |
| Flu vaccines | 0.598757 |
| influenza.A flu vaccine | 0.757351 |
| flu vaccine | 0.894415 |
| human immune defenses | 0.470346 |
| flu complications | 0.562479 |
|
| traditional egg-based manufacturing | 0.444244 |
| flu shots | 0.645145 |
| fewer influenza infections | 0.440438 |
| Developing Flu-Related Complications | 0.468438 |
| high risk factors | 0.430976 |
| stronger immune response | 0.583228 |
| high dose vaccine | 0.762391 |
| higher antibody production | 0.439045 |
| flu seasons | 0.611887 |
| seasonal flu-related deaths | 0.497957 |
| antiviral drugs | 0.435506 |
| vaccination sets | 0.405769 |
| seasonal flu vaccine | 0.763826 |
| flu viruses | 0.597745 |
| people | 0.568901 |
| flu | 0.901374 |
| Vaccine Virus Selection | 0.546896 |
| exact vaccine composition | 0.545841 |
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| best possible protection | 0.445186 |
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| unadjuvanted flu shots | 0.627239 |
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| 6291 |
Centers for Disease Control and Prevention |
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MMWR News Summary: September 29, 2011 |
MMWR News Summary: September 29, 2011 |
| respiratory diagnostics | 0.397165 |
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| highest smoking rates | 0.47866 |
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| large numbers | 0.358797 |
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| viral respiratory disease | 0.52219 |
| Utah Department | 0.348223 |
| public health authorities | 0.477078 |
| Effective employer interventions | 0.72212 |
| densely populated county | 0.455354 |
| Health care providers | 0.50327 |
| Utah population | 0.340642 |
| health care resources | 0.484586 |
| CDC Division | 0.660259 |
| H1N1 influenza pandemic | 0.497079 |
| Rachelle Boulton | 0.360456 |
| human enterovirus | 0.37059 |
| cessation treatments | 0.341896 |
| severe disease | 0.583634 |
| public health agency | 0.507345 |
| smoking prevalence | 0.364443 |
| mechanical ventilation | 0.347137 |
| respiratory illness | 0.819492 |
| United States | 0.36048 |
|
| mild respiratory illness | 0.543294 |
| food services industries | 0.465108 |
| large disparities | 0.350062 |
| unexplained respiratory illness | 0.539738 |
| Electronic Media | 0.649026 |
| recent phenomenon | 0.357488 |
| public health | 0.793396 |
| measles vaccine | 0.769536 |
| early antiviral treatment | 0.451473 |
| intensive care | 0.344782 |
| H1N1 influenza | 0.597806 |
| percent reduction | 0.392738 |
| Tracking influenza-associated hospitalizations | 0.465047 |
| decrease absenteeism | 0.350651 |
| U.S. adults | 0.342884 |
| Similar results | 0.347149 |
| seasonal influenza | 0.368264 |
| influenza epidemics | 0.37381 |
| percent smoke-free workplace | 0.535137 |
| measles deaths | 0.93003 |
| employee health | 0.368232 |
| global measles deaths | 0.708817 |
| influenza-associated hospitalizations | 0.495945 |
| severe illness | 0.369531 |
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| 8621 |
Centers for Disease Control and Prevention |
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PanFlu Storybook - I Survived, Viola Spencer Miller |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| brothers | 0.324535 |
| family member | 0.428376 |
| family patriarch | 0.426963 |
| mother | 0.582816 |
| mother’s presence | 0.452439 |
| twins | 0.324978 |
| homestead | 0.325828 |
| sister Etta | 0.433102 |
| Wilma’s mother | 0.516966 |
| Lois Miller Stougard | 0.562588 |
| 50th wedding anniversary | 0.515333 |
| area | 0.323872 |
| heart failure | 0.411518 |
| Evelyn | 0.358057 |
| Montana | 0.354438 |
| Letters | 0.324002 |
| night | 0.321844 |
| Wilma Gates Spencer | 0.590467 |
| birth | 0.32263 |
| Dave | 0.433577 |
| baby brother | 0.529375 |
| Aunt Lucy | 0.907192 |
| East | 0.323921 |
| whiskey | 0.324 |
| paternal aunt | 0.510887 |
|
| twin sister | 0.429103 |
| successful realtor | 0.420154 |
| special occasions | 0.416332 |
| Jr. | 0.403574 |
| 14 years | 0.324474 |
| Charles Spencer | 0.436849 |
| life | 0.321594 |
| quart | 0.329342 |
| devastation | 0.32567 |
| Helmville | 0.354462 |
| David Charles | 0.773054 |
| Storyteller | 0.326679 |
| youngest son | 0.429246 |
| Chicago | 0.322082 |
| Viola Spencer Miller | 0.587635 |
| deathbed | 0.331778 |
| motherless child | 0.42032 |
| flu | 0.445477 |
| Ray’s letter | 0.418173 |
| home | 0.341121 |
| meal | 0.321837 |
| cold weather problems | 0.539269 |
| time | 0.373001 |
| family | 0.444841 |
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| 8671 |
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Global Health - Kenya - Blog: Stomping Out Malaria in Pregnancy |
In Kenya, the CDC is addressing the region's toughest health problems at their source, directly working with vulnerable families and communities in local hospitals, clinics, and laboratories. |
| interagency initiative | 0.511651 |
| Coast Province | 0.48439 |
| U.S. Agency | 0.488438 |
| antenatal clinics | 0.504969 |
| U.S. CDC Kenya | 0.6322 |
| free bed net | 0.547117 |
| main interventions | 0.476774 |
| global health strategy | 0.571866 |
| antenatal care visit | 0.574889 |
| pregnant women | 0.690793 |
| Stomp Out Malaria | 0.716083 |
| Kenya National Malaria | 0.776729 |
| Peace Corps volunteers | 0.561093 |
| community level | 0.488301 |
| malaria activities | 0.710729 |
| pregnancy | 0.453152 |
| President’s Malaria | 0.873207 |
| Takaungu | 0.42714 |
| malaria endemic areas | 0.739821 |
| public health facilities | 0.551873 |
| insecticide-treated bed nets | 0.5518 |
| antenatal care clinic | 0.576754 |
| at-risk populations | 0.489024 |
| community health worker | 0.559324 |
| long-lasting insecticide | 0.489461 |
|
| health workers | 0.553985 |
| U.S. government | 0.489767 |
| malaria | 0.934865 |
| Africa Initiative | 0.506334 |
| International Development | 0.48782 |
| African countries | 0.488721 |
| key component | 0.489294 |
| Pregnant mothers | 0.521836 |
| Kenyan women | 0.488503 |
| Peace Corps | 0.657059 |
| weekly visits | 0.480159 |
| women’s pregnancies | 0.489362 |
| cases | 0.438379 |
| local community health | 0.565343 |
| PMI’s strategy | 0.522076 |
| maternal anemia | 0.479296 |
| IPTp treatment | 0.479438 |
| PMI works | 0.52051 |
| pm ET | 0.491989 |
| KENYA BLOG | 0.542357 |
| intermittent preventive therapy | 0.551678 |
| premature delivery | 0.477826 |
| Malaria Initiative | 0.880176 |
| Corps volunteer Kelly | 0.56324 |
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Preventing Chronic Disease | Comparison of Fecal Occult Blood Tests for Colorectal Cancer Screening in an Alaska Native Population With High Prevalence of Helicobacter pylori Infection, 2008 to 2012 - CDC |
Alaska Native colorectal cancer (CRC) incidence and mortality rates are the highest of any ethnic/racial group in the United States. CRC screening using guaiac-based fecal occult blood tests (gFOBT) are not recommended for Alaska Native people because of false-positive results associated with a high prevalence of Helicobacter pylori-associated hemorrhagic gastritis. This study evaluated whether the newer immunochemical FOBT (iFOBT) resulted in a lower false-positive rate and higher specificity for detecting advanced colorectal neoplasia than gFOBT in a population with elevated prevalence of H. pylori infection. |
| CRC screening recommendations | 0.475284 |
| CRC screening method | 0.478975 |
| advanced neoplasia | 0.478453 |
| Native Medical Center | 0.491051 |
| Area Native Health | 0.47891 |
| rural Alaska Native | 0.481744 |
| advanced CRC neoplasia | 0.472132 |
| gFOBT | 0.506795 |
| Alaska Native diet | 0.481726 |
| Alaska Native | 0.942044 |
| occult blood tests | 0.4835 |
| previous H. pylori | 0.475313 |
| colorectal cancer screening | 0.504612 |
| H. pylori infection | 0.745269 |
| Alaska Area Native | 0.495957 |
| high H. pylori | 0.48354 |
| colorectal cancer | 0.563611 |
| H. pylori-positive participants | 0.502955 |
| CRC screening | 0.627933 |
| Native Health Service | 0.478908 |
| H. pylori UBTs | 0.475529 |
| Alaska Native adults | 0.520122 |
| asymptomatic Alaska Native | 0.481842 |
| fecal occult blood | 0.572937 |
|
| current H. pylori | 0.50535 |
| alaska native population | 0.683347 |
| occult blood test | 0.515715 |
| advanced colorectal neoplasia | 0.481788 |
| CRC screening options | 0.508129 |
| low-cost screening methods | 0.472033 |
| study | 0.486523 |
| Alaska Native Medical | 0.511526 |
| United States | 0.5081 |
| Alaska Native Tribal | 0.489062 |
| Helicobacter pylori | 0.478979 |
| specificity | 0.476899 |
| higher specificity | 0.476612 |
| significantly higher specificity | 0.475935 |
| colorectal neoplasia | 0.536317 |
| Alaska Native people | 0.818907 |
| remote Alaska Native | 0.48456 |
| worldwide CRC screening | 0.475077 |
| CRC screening guidelines | 0.489212 |
| fecal immunochemical test | 0.470772 |
| high prevalence | 0.505804 |
| Native Tribal Health | 0.473382 |
| Indian Health Service | 0.507909 |
| Alaska Native colorectal | 0.504325 |
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Centers for Disease Control and Prevention |
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Pertussis | Pregnancy | Whooping Cough Vaccines Are Safe |CDC |
Whooping cough vaccine for adolescents and adults is very safe for you and your unborn baby. |
| tetanus vaccines | 0.270715 |
| vaccine recommendations | 0.270741 |
| new vaccines | 0.202578 |
| Tdap vaccine | 0.636417 |
| whooping cough vaccine | 0.788083 |
| pregnancy | 0.211791 |
| DTaP vaccine | 0.389871 |
| Vaccine Adverse Event | 0.352004 |
| flu vaccine | 0.263905 |
| Diphtheria Vaccines | 0.20692 |
|
| severe local reactions | 0.246152 |
| severe side effects | 0.210603 |
| shot | 0.217999 |
| whooping cough | 0.912817 |
| pregnant women | 0.449106 |
| whooping cough vaccines | 0.514367 |
| national vaccine safety | 0.30671 |
| tetanus vaccine | 0.308047 |
| Tdap vaccination | 0.216625 |
| tetanus component | 0.228718 |
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Centers for Disease Control and Prevention |
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CDC Responder: Ron |
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. |
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| NIOSH | 0.442673 |
| external local experts | 0.719716 |
| Ron | 0.923329 |
| field | 0.436896 |
| natural caregivers | 0.573108 |
| non-healthcare workers | 0.60197 |
|
| Ebola patients | 0.728671 |
| emergency responders | 0.603168 |
| laboratory workers | 0.597706 |
| readiness | 0.43834 |
| Trade Center response | 0.772532 |
| infection control | 0.577257 |
| dirt bikes | 0.603056 |
| different mission | 0.599536 |
| Institute | 0.434223 |
| proper workplace practices | 0.727838 |
| laboratory issues | 0.576671 |
| U.S. Public Health | 0.809907 |
| infectious waste handlers | 0.732036 |
| occupational safety | 0.961136 |
| potential Ebola patient | 0.907285 |
| Service | 0.436937 |
| people | 0.433665 |
| health point | 0.603712 |
| REP teams | 0.592676 |
| Deepwater Horizon response | 0.776819 |
| healthcare workers | 0.970329 |
| recovery workers | 0.618623 |
| family | 0.436455 |
| Rapid Ebola Preparedness | 0.925927 |
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Breast Cancer Risk by Age |
A table showing the percentage of men who will get breast cancer over different time periods, based on the man's current age. |
| Ruhl | 0.351668 |
| woman | 0.328588 |
| Altekruse SF | 0.463514 |
| Garshell | 0.32599 |
| Chen HS | 0.477247 |
| different time periods | 0.644456 |
| Source | 0.326178 |
| Kosary CL | 0.472721 |
| example | 0.331739 |
| SEER Web site | 0.67373 |
| Feuer EJ | 0.502496 |
| breast cancer increases | 0.738701 |
| Howlader | 0.326144 |
| percentage | 0.343273 |
| MD | 0.325794 |
|
| National Cancer Institute | 0.580472 |
| table | 0.355022 |
| current age | 0.610994 |
| breast cancer | 0.936353 |
| Cronin KA | 0.48927 |
| SEER data submission | 0.675527 |
| eds | 0.340994 |
| Miller | 0.325939 |
| risk | 0.331566 |
| Yu | 0.336165 |
| Bethesda | 0.333593 |
| time periods | 0.662458 |
| SEER Cancer Statistics | 0.667038 |
| women | 0.373355 |
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Centers for Disease Control and Prevention |
Html |
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Free NIVW Web Tools: Adults |
NIVW web tools offers NIVW buttons, badges and banners free for download - CDC |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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CLICK HERE |