| 4544 |
Centers for Disease Control and Prevention |
Html |
en |
Reallocating Influenza Vaccine |
FDA-related information for health care professionals and institutions considering flu vaccine reallocation - CDC |
| extent | 0.317129 |
| emergency medical reason | 0.45749 |
| reasonable basis | 0.485481 |
| United States | 0.38033 |
| health care entities | 0.68982 |
| health care entity | 0.588798 |
| redistribution | 0.34056 |
| section | 0.331382 |
| FDA-related information | 0.396149 |
| Vaccines Licensed | 0.383824 |
| temporary shortage | 0.487949 |
| Public health departments | 0.482399 |
| following information | 0.376603 |
| offer | 0.315761 |
| regular distribution schedules | 0.460243 |
| current good manufacturing | 0.442482 |
| proper handling | 0.380696 |
| shortage | 0.510452 |
| interruptions | 0.323773 |
| health care providers | 0.485857 |
| communication | 0.314099 |
|
| health care | 0.755986 |
| emergency medical reasons | 0.448683 |
| Drug | 0.315876 |
| influenza vaccine | 0.912227 |
| mind | 0.314563 |
| systematic sales | 0.381814 |
| practice requirements | 0.377867 |
| distributors | 0.314084 |
| pre-set amounts | 0.391861 |
| purchase | 0.315787 |
| agreements | 0.314537 |
| Federal Food | 0.392301 |
| institutions | 0.317094 |
| vaccine delivery | 0.492407 |
| C.F.R. | 0.314422 |
| trade | 0.315772 |
| doctors | 0.327296 |
| delays | 0.31854 |
| time | 0.313949 |
| FD&C Act | 0.467009 |
|
CLICK HERE |
| 7059 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Hungary |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
CLICK HERE |
| 8600 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - I Survived, Dr. Otto Wernecke |
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. |
| siblings | 0.349974 |
| scarlet fever | 0.564403 |
| brothers | 0.342031 |
| rural Manitowoc | 0.682679 |
| flu epidemic | 0.598511 |
| family stories | 0.516122 |
| Louise | 0.404788 |
| mother | 0.455342 |
| wonderful man | 0.534947 |
| son | 0.34569 |
| father′s death | 0.52072 |
| casket | 0.354064 |
| Rev. Machmiller | 0.541519 |
| sister | 0.340342 |
| 2–year–old daughter Frieda | 0.8048 |
| little ones | 0.539785 |
| father′s funeral | 0.546732 |
| wife | 0.398218 |
| dentist | 0.352218 |
| I′ve | 0.341133 |
| brother Henry | 0.529717 |
| Caroline Wernecke Pharris | 0.94684 |
| millinery store | 0.5767 |
| flu pandemic | 0.577639 |
| dental work | 0.541762 |
|
| fact | 0.341815 |
| unnecessary contagion | 0.580599 |
| Cleveland | 0.342831 |
| happy memories | 0.51558 |
| Margaret | 0.34144 |
| Storyteller | 0.351502 |
| village | 0.346357 |
| Caroline Kansier | 0.597887 |
| Wisconsin | 0.403564 |
| pastor | 0.342128 |
| disease | 0.346053 |
| couldn′t | 0.341017 |
| sisters | 0.34201 |
| people | 0.392049 |
| trajectory | 0.352146 |
| large department stores | 0.712871 |
| three–year–old | 0.341963 |
| Dr. Otto Wernecke | 0.918979 |
| tragedy | 0.348082 |
| money | 0.343498 |
| Ohio | 0.342811 |
| grandparents′ parlor | 0.562201 |
| time | 0.511444 |
| age | 0.343302 |
|
CLICK HERE |
| 9846 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Multiple Chronic Conditions andLimitations in Activities of Daily Living in a Community-BasedSample of Older Adults in New York City, 2009 - CDC |
Nationally, 60% to 75% of older adults have multiple (2 or more) chronic conditions (MCCs), and the burden is even higher among low-income, racial/ethnic minority populations. |
| MCCs | 0.506247 |
| City University | 0.45539 |
| G. Chronic care | 0.46242 |
| multiple chronic conditions | 0.552305 |
| BADL limitation | 0.63793 |
| New York City | 0.639209 |
| health outcomes | 0.486414 |
| functional limitation | 0.466456 |
| public housing | 0.465176 |
| specific chronic conditions | 0.498204 |
| Ann Fam Med | 0.453082 |
| racially/ethnically diverse population | 0.455795 |
| nursing home admissions | 0.457177 |
| older NYCHA residents | 0.456792 |
| additional conditions | 0.458312 |
| New York School | 0.508621 |
| older age | 0.45355 |
| CrossRef | 0.463375 |
| NYCHA older residents | 0.458635 |
| chronic conditions increases | 0.497293 |
| greater limitations | 0.478234 |
| community-dwelling older adults | 0.455697 |
| complex medical conditions | 0.462487 |
| IADL limitations | 0.582075 |
|
| York City Housing | 0.504401 |
| ADL limitations | 0.516796 |
| City Housing Authority | 0.494087 |
| racial/ethnic minority populations | 0.457482 |
| greater proportion | 0.46187 |
| association | 0.463358 |
| overall BADL limitations | 0.513971 |
| Sci Soc Sci | 0.453679 |
| self-reported IADL limitations | 0.499187 |
| BADL limitations | 0.860274 |
| Psychol Sci Soc | 0.454503 |
| public health | 0.486168 |
| New York | 0.682378 |
| low-income older adults | 0.550885 |
| common chronic condition | 0.470431 |
| federal poverty guidelines | 0.472979 |
| chronic disease duration | 0.467243 |
| severe limitations | 0.475838 |
| health | 0.515244 |
| common chronic conditions | 0.513372 |
| chronic conditions | 0.989435 |
| York City Department | 0.541818 |
| older adults | 0.712016 |
| Health Soc Behav | 0.467444 |
|
CLICK HERE |
| 11558 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Outstanding Student Research: Li et al on Investigating the Placement of Green Carts to Improve Access to Healthful Foods in Food Deserts - CDC |
Each year since 2011 Preventing Chronic Disease (PCD) has issued a special call for student papers for our Student Research Paper Contest. This year PCD received 67 submissions from students throughout the world. We are very excited to recognize Kathleen Li and colleagues as the winners of the 2014 contest for their paper entitled “Evaluation of the Placement of Mobile Fruit and Vegetable Vendors to Alleviate Food Deserts in New York City” |
| intermediate outcomes | 0.366383 |
| public health intervention | 0.341276 |
| PCD Editorial Board | 0.26582 |
| geographic analysis | 0.26106 |
| public health interventions | 0.445308 |
| Green Cart licenses | 0.257516 |
| public health researchers | 0.285558 |
| healthful selections | 0.26007 |
| City Green Carts | 0.284107 |
| outstanding work | 0.235193 |
| New York City | 0.887939 |
| Preventing Chronic Disease | 0.240094 |
| health outcomes | 0.4504 |
| higher traffic areas | 0.269438 |
| sophisticated geographic analysis | 0.240998 |
| vegetable vendors | 0.351388 |
| paper Ms Li | 0.323182 |
| mobile fruit | 0.352125 |
| food vendors intervention | 0.308059 |
| PCD staff members | 0.266168 |
| City licensing program | 0.274394 |
| health status | 0.26227 |
| Dr Deesha Patel | 0.241553 |
| Alleviate Food Deserts | 0.382931 |
|
| chronic disease | 0.354689 |
| York City program | 0.284423 |
| Green Cart program | 0.407882 |
| colleagues | 0.269988 |
| Drs Ana Diez-Roux | 0.236421 |
| Research Paper Contest | 0.562102 |
| chronic disease prevention | 0.250183 |
| limited access | 0.257442 |
| access | 0.275203 |
| Public Health Research | 0.291026 |
| assistance programs | 0.270095 |
| environmental change | 0.259268 |
| food deserts | 0.916779 |
| high-traffic areas | 0.285496 |
| Dr Carol Horowitz | 0.269275 |
| Nutrition Assistance Program | 0.274044 |
| public health | 0.601437 |
| public health perspective | 0.306515 |
| healthful ways | 0.252522 |
| Drs Barbara Bowman | 0.237721 |
| Green Carts | 0.415536 |
| Student Research Paper | 0.561878 |
| Samuel F. Posner | 0.24118 |
| population health outcomes | 0.326809 |
|
CLICK HERE |
| 11696 |
Centers for Disease Control and Prevention |
Html |
en |
Top 10 Ebola Response Planning Tips: Ebola Readiness Self-Assessment for State and Local Public Health Officials |
Top 10 Ebola Response Planning Tips: Ebola Readiness Self-Assessment for State and Local Public Health Officials - CDC |
| ebola outbreaks | 0.687467 |
| national capability standards | 0.550274 |
| healthcare coalitions | 0.50428 |
| CDC guidance | 0.50395 |
| health preparedness capabilities | 0.626538 |
| Healthcare Preparedness Capabilities | 0.55995 |
| Ebola symptoms | 0.619828 |
| public health authorities | 0.51615 |
| Healthcare System Preparedness | 0.516629 |
| local epidemiologic staff | 0.506086 |
| state | 0.524023 |
| public health systems | 0.534703 |
| following guidance documents | 0.502996 |
| state emergency operations | 0.507437 |
| local response partners | 0.516357 |
| Ebola Outbreaks web | 0.650986 |
| public health partners | 0.521834 |
| potential Ebola response | 0.656314 |
| ebola virus disease | 0.65416 |
| health emergency response | 0.527835 |
| public health officials | 0.529792 |
| sufficient PPE quantities | 0.497693 |
| public health response | 0.54224 |
| Ebola patients | 0.59014 |
| Ebola | 0.816615 |
|
| Ebola epidemic | 0.603928 |
| CDC Health Alert | 0.539851 |
| appropriate public health | 0.524056 |
| local planning | 0.506327 |
| Ebola outbreak information | 0.622452 |
| public health staff | 0.519703 |
| CDC Interim Guidance | 0.540371 |
| public health jurisdiction | 0.515643 |
| Ebola response planning | 0.649104 |
| align preparedness | 0.497508 |
| Ebola planning | 0.59776 |
| CDC resources | 0.521193 |
| key public health | 0.527012 |
| public health emergency | 0.574172 |
| public health | 0.924392 |
| preparedness national standards | 0.550313 |
| local jurisdictions | 0.506499 |
| local public health | 0.842003 |
| Ebola response | 0.771644 |
| latest Ebola information | 0.629747 |
| healthcare preparedness capability | 0.555282 |
| CDC Ebola website | 0.659645 |
| health emergency preparedness | 0.565977 |
| public health preparedness | 0.712099 |
|
CLICK HERE |
| 12039 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Releases New Reports on Ebola Cases in Liberia and theUnited States | CDC Online Newsroom |
CDC Releases New Reports on Ebola Cases in Liberia and the United States |
| Mortality Weekly Report | 0.392091 |
| overall Ebola response | 0.566257 |
| Ebola infection | 0.585674 |
| Ebola disease | 0.535842 |
| Ebola symptoms | 0.529119 |
| public health authorities | 0.388336 |
| recent positive trend | 0.384694 |
| recent key efforts | 0.379657 |
| newly affected areas | 0.384786 |
| newly reported cases | 0.391974 |
| Director Tom Frieden | 0.461618 |
| health facilities | 0.398719 |
| CDC Director Tom | 0.459744 |
| international Ebola response | 0.581569 |
| forty-seven health care | 0.398655 |
| capital city | 0.393193 |
| past Ebola outbreaks | 0.576857 |
| medical care workers | 0.396989 |
| infection control training | 0.383373 |
| new cases | 0.492273 |
| Ebola | 0.943387 |
| domestically acquired Ebola | 0.55861 |
| Ebola epidemic | 0.732843 |
| Ebola Treatment Units | 0.590555 |
| United States | 0.382381 |
|
| U.S. government | 0.38231 |
| infection control | 0.456117 |
| affected areas | 0.386064 |
| Ebola cases | 0.826925 |
| Ebola Treatment Units– | 0.580506 |
| Liberia’s Ministry | 0.37826 |
| Ebola Virus Disease | 0.638131 |
| response containment efforts | 0.384706 |
| health care workers | 0.938337 |
| Infection control specialists | 0.381244 |
| new Ebola cases | 0.700092 |
| densely populated capital | 0.388273 |
| non-ETU health facilities | 0.392539 |
| CDC disease detectives | 0.384927 |
| infection control infrastructure | 0.379245 |
| infection control protocols | 0.383262 |
| Liberia’s Ebola | 0.594544 |
| Lofa County | 0.444251 |
| Ebola response | 0.643479 |
| Montserrado County | 0.387751 |
| percent decline | 0.408757 |
| Ebola Treatment | 0.60068 |
| Ebola containment strategy | 0.580784 |
| West Africa | 0.550136 |
|
CLICK HERE |
| 12355 |
Centers for Disease Control and Prevention |
Image |
null |
Decoding the Model Aquatic Health Code (78W x 558H) |
null |
|
|
CLICK HERE |
| 14077 |
Centers for Disease Control and Prevention |
Html |
en |
Smokers' Stories: Five Reasons to Quit | CDC Features |
Meet five real people in CDC's graphic new ads. They want to be your reason to quit smoking for good. |
| powerful effects | 0.450384 |
| Tips legacy | 0.489694 |
| tips campaign | 0.970082 |
| throat cancer | 0.470113 |
| periodontal disease | 0.460295 |
| lung cancer | 0.454301 |
| heart races | 0.452702 |
| personal stories | 0.464675 |
| quit plan | 0.576535 |
| Smokefree App | 0.505992 |
| ads | 0.520227 |
| Emotionally evocative tobacco | 0.564081 |
| smoking cessation | 0.582199 |
| real people | 0.473734 |
| program sends encouragement | 0.550801 |
| Tips ads | 0.491928 |
| Hard-hitting media campaigns | 0.562286 |
| obstructive pulmonary disease | 0.591099 |
| Spanish speakers | 0.450167 |
| heart attack | 0.452922 |
| health consequences | 0.447568 |
| smokers | 0.676669 |
| slightest movement | 0.465642 |
| Smokersâ„¢ campaign | 0.50779 |
| campaign participants | 0.495093 |
|
| cigarette smoking | 0.575796 |
| smoking | 0.784152 |
| education media campaigns | 0.556837 |
| Online help | 0.451533 |
| free help | 0.466249 |
| panel discussion | 0.458154 |
| public awareness | 0.457545 |
| free app | 0.448287 |
| Smokefree TXT | 0.498748 |
| Terrie Hall | 0.532928 |
| social media | 0.600236 |
| media campaigns | 0.573979 |
| compelling messages | 0.472563 |
| cable TV | 0.463769 |
| smokefree progress | 0.485809 |
| partner groups | 0.458483 |
| free assistance | 0.451887 |
| scary commercials | 0.451201 |
| campaign website | 0.46609 |
| previous years— | 0.461742 |
| smoking patterns | 0.526589 |
| social media comment | 0.565768 |
| Smokers web page | 0.651611 |
| Tips participants | 0.477937 |
|
CLICK HERE |
| 14094 |
Centers for Disease Control and Prevention |
Image |
null |
No woman should die of cervical cancer |
null |
|
|
CLICK HERE |