| 816 |
Centers for Disease Control and Prevention |
Html |
en |
Flu Prevention Partners Success Stories: Text4baby Service |
Partnership success stories, Text4baby - CDC |
| California San Diego | 0.598877 |
| date | 0.343364 |
| reminders | 0.334184 |
| free service | 0.514386 |
| CDC | 0.329428 |
| Washington University study | 0.607066 |
| collective efforts | 0.461634 |
| motherhood | 0.335112 |
| new partnership | 0.489097 |
| number | 0.327451 |
| fall publisher briefing | 0.617532 |
| flu vaccination | 0.760029 |
| Rite Aid | 0.886622 |
| safe sleep | 0.459282 |
| non-Text4baby participants | 0.497154 |
| Evaluation results | 0.461226 |
| appointments | 0.32664 |
| goal | 0.32753 |
| free text messages | 0.627613 |
| email Rachel Griffith | 0.601059 |
| celebration | 0.327168 |
| Pregnant women | 0.527169 |
| Healthy Babies Coalition | 0.681944 |
| California State University | 0.599553 |
| code | 0.328352 |
|
| Text4baby mothers | 0.549513 |
| free flu shots | 0.950974 |
| developmental milestones | 0.465483 |
| Text4baby moms | 0.552426 |
| health providers | 0.459835 |
| Prevention | 0.326712 |
| national retail partner | 0.656866 |
| medical warning signs | 0.592162 |
| new moms | 0.544825 |
| National Healthy Mothers | 0.692352 |
| BEBE | 0.341895 |
| Text4baby facilitates | 0.490603 |
| Families Fighting Flu | 0.856113 |
| Communications Manager | 0.461765 |
| flu blog Shot | 0.873706 |
| Text4baby participants | 0.52289 |
| San Marcos/University | 0.462263 |
| barriers | 0.330145 |
| baby’s birth | 0.470595 |
| flu season | 0.901202 |
| Dimes | 0.342609 |
| annual flu messaging | 0.879645 |
| local Rite Aid | 0.678633 |
| Pregnant Moms | 0.553921 |
|
CLICK HERE |
| 1029 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR - Differences by Sex in Tobacco Use and Awareness of Tobacco Marketing - Smoking & Tobacco Use |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| smoking cessation attempts | 0.574486 |
| excise tax rates | 0.56342 |
| Adult Tobacco Surveys | 0.682198 |
| current smokers | 0.625326 |
| GATS response rate | 0.613187 |
| Framework Convention | 0.482273 |
| cigarette excise taxes | 0.604298 |
| tobacco | 0.991589 |
| representative household survey | 0.573278 |
| large difference | 0.482674 |
| indirect advertising | 0.480725 |
| World Health Organization | 0.547236 |
| MPOWER package | 0.485173 |
| countries | 0.536278 |
| tobacco industry | 0.586599 |
| tobacco products | 0.586144 |
| cigarette marketing | 0.903036 |
| statistically significant difference | 0.557729 |
| women | 0.854053 |
| smoking prevalence | 0.484569 |
| current tobacco | 0.602973 |
| young adult women | 0.566545 |
| complex interaction | 0.488683 |
| U.S. government | 0.489046 |
| Thailand | 0.598729 |
|
| tobacco advertising | 0.580812 |
| South Carolina | 0.486014 |
| gender differences | 0.485098 |
| subnational estimates | 0.499644 |
| tobacco marketing | 0.745844 |
| men | 0.672114 |
| Adult Tobacco Survey | 0.707132 |
| gender-specific pattern | 0.491051 |
| sample respondent | 0.485995 |
| Rhode Island | 0.482822 |
| social factors | 0.488419 |
| Uruguay | 0.63873 |
| Tobacco use differences | 0.602307 |
| nationally representative data | 0.569154 |
| Global Adult Tobacco | 0.847456 |
| sample design | 0.49851 |
| Tobacco Control | 0.584817 |
| older women | 0.50916 |
| data collection | 0.498978 |
| management protocols | 0.498496 |
| smokeless tobacco | 0.937641 |
| Bangladesh | 0.65118 |
| continued implementation | 0.481519 |
| average excise tax | 0.560255 |
|
CLICK HERE |
| 1036 |
Centers for Disease Control and Prevention |
Html |
en |
National Capacity for Surveillance, Prevention, and Controlof West Nile Virus and Other Arbovirus Infections - United States,2004 and 2012 |
James L. Hadler, MD1, Dhara Patel, MPH2, Kristy Bradley, DVM3, James M. Hughes, MD4, Carina Blackmore, DVM5, Paul Etkind, DrPH6, Lilly Kan, MPH6, Jane Getchell, DrPH7, James Blumenstock, MA8, Jeffrey Engel, MD2 (Author affiliations at end of text). |
| environmental surveillance | 0.632701 |
| Los Angeles County | 0.517851 |
| mosquito-borne virus surveillance | 0.590502 |
| current CDC guidance | 0.51559 |
| cooperative agreement funding | 0.511231 |
| arbovirus surveillance functions | 0.575188 |
| assessment | 0.534415 |
| arbovirus surveillance | 0.637264 |
| current arboviral threats | 0.58941 |
| arboviruses | 0.653869 |
| virus surveillance capacity | 0.600096 |
| standard case report | 0.512811 |
| mosquito surveillance systems | 0.665005 |
| jurisdictions | 0.566772 |
| arboviral disease case | 0.594479 |
| laboratory capacity | 0.663129 |
| recent CSTE assessment | 0.52797 |
| WNV surveillance | 0.825623 |
| mosquito-borne arboviral disease | 0.602802 |
| Mosquito surveillance capacity | 0.78616 |
| adult mosquitoes | 0.566212 |
| national surveillance platform | 0.57469 |
| laboratory surveillance capacity | 0.685941 |
| public health laboratories | 0.549957 |
| national arboviral surveillance | 0.796318 |
|
| United States | 0.600691 |
| avian mortality surveillance | 0.700449 |
| mosquito/environmental surveillance | 0.524203 |
| local health department | 0.532756 |
| arboviral activity | 0.639942 |
| adult mosquito surveillance | 0.66282 |
| additional mosquito surveillance | 0.649866 |
| city/county health departments | 0.647254 |
| health departments | 0.739603 |
| surveillance | 0.967029 |
| local health departments | 0.61328 |
| WNV | 0.861473 |
| local arboviral surveillance | 0.668523 |
| mosquito surveillance | 0.842938 |
| New York | 0.583105 |
| arboviral surveillance infrastructure | 0.792997 |
| arboviral disease | 0.627725 |
| dead bird surveillance | 0.669687 |
| active human surveillance | 0.630529 |
| mosquito pools | 0.525001 |
| West Nile virus | 0.77847 |
| arboviral surveillance capacity | 0.68102 |
| ELC funding | 0.727907 |
| current surveillance systems | 0.79938 |
|
CLICK HERE |
| 5542 |
Centers for Disease Control and Prevention |
Html |
en |
Borates, tetra, sodium salts (Anhydrous) - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
| 6097 |
Centers for Disease Control and Prevention |
Html |
en |
Chlorine - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
| 10006 |
Centers for Disease Control and Prevention |
Html |
en |
Epstein-Barr and Mononucleosis - About Epstein-Barr Virus |
Learn about Epstein-Barr virus and EBV infection, including symptoms, transmission, diagnosis, prevention, and treatment. |
| semen | 0.311369 |
| primary EBV infection | 0.682807 |
| human herpesvirus | 0.371883 |
| adults | 0.323685 |
| objects | 0.311333 |
| brief childhood illnesses | 0.415965 |
| toothbrush | 0.315772 |
| EBV infections | 0.622814 |
| body | 0.323972 |
| teenagers | 0.311916 |
| point | 0.312576 |
| world | 0.313882 |
| children | 0.312085 |
| immune systems | 0.361879 |
| sexual contact | 0.360507 |
| EBV | 0.988561 |
| organ transplantations | 0.363332 |
| member | 0.313338 |
| things | 0.311391 |
| Epstein-Barr virus | 0.400563 |
| antibodies | 0.323412 |
| drinking glass | 0.359089 |
|
| state | 0.311108 |
| common human viruses | 0.427956 |
| infectious mononucleosis | 0.368282 |
| cases | 0.312323 |
| blood transfusions | 0.360899 |
| lives | 0.312567 |
| bodily fluids | 0.436496 |
| initial infection | 0.39448 |
| specific treatment | 0.358232 |
| blood test | 0.353694 |
| people | 0.395988 |
| toothbrushes | 0.314428 |
| infected person | 0.368231 |
| symptoms | 0.413186 |
| saliva | 0.334898 |
| past EBV infection | 0.665773 |
| latent | 0.330437 |
| Laboratory Testing | 0.356601 |
| time | 0.320784 |
| EBV infection | 0.825347 |
| personal items | 0.358076 |
| herpes virus family | 0.452968 |
|
CLICK HERE |
| 10055 |
Centers for Disease Control and Prevention |
Html |
en |
Sochi 2014: Winter Olympics and Paralympics | Digital Press Kit | CDC Online Newsroom |
CDC wants you and your travel team to enjoy the Winter Games and bring home a suitcase full of gold, silver, and bronze memories. Plan ahead for safe and healthy travel! |
| 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 |
| 10769 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Global Health - Polio - Updates on CDC's Polio Eradication Efforts - April 18, 2014 |
Polio is a crippling and potentially deadly infectious disease caused by a virus that spreads from person to person invading the brain and spinal cord and causing paralysis. CDC is a strategic partner in the overall effort to eradicate polio worldwide. |
| global polio eradication | 0.87136 |
| Large-scale polio vaccination | 0.498203 |
| GPEI partners | 0.363403 |
| polio eradication plans | 0.568361 |
| polio eradication | 0.987617 |
| Polio incidence | 0.473627 |
| polio outbreaks | 0.488265 |
| public health volunteers | 0.36164 |
| Polio Eradication Effort | 0.607644 |
| wild poliovirus | 0.382679 |
| vaccination campaign planning | 0.367209 |
| CDC’s Emergency | 0.382967 |
| United Nations Children | 0.362918 |
| AFP cases | 0.356581 |
| polio eradication activities | 0.638148 |
| final push | 0.364252 |
| CDC Director Thomas | 0.413947 |
| Melinda Gates Foundation | 0.361083 |
| CDC resources | 0.376756 |
| polio worldwide | 0.492626 |
| Independent Monitoring Board | 0.358159 |
| EOC operational structure | 0.390495 |
| polio vaccination campaigns | 0.563425 |
| CDC’s engagement | 0.372688 |
|
| global polio surveillance | 0.510739 |
| entire CDC community | 0.405127 |
| Polio Eradication Initiative | 0.602449 |
| World Health Organization | 0.420164 |
| outbreak response protocols | 0.357148 |
| timely technical expertise | 0.36213 |
| polio eradication progress | 0.5644 |
| polio cases | 0.517365 |
| in-country technical expertise | 0.36153 |
| Democratic Republic | 0.36119 |
| CDC’s EOC | 0.404168 |
| polio vaccination campaign | 0.511174 |
| countries | 0.368587 |
| CDC’s polio | 0.530042 |
| Epidemiologic Record/CDC Morbidity | 0.359924 |
| enhanced capacity | 0.362434 |
| CDC polio eradication | 0.677198 |
| polio surveillance | 0.555561 |
| technical expertise | 0.365339 |
| finish line | 0.36041 |
| Dr. Frieden | 0.37229 |
| endemic countries | 0.362548 |
| polio eradication efforts | 0.628378 |
|
CLICK HERE |
| 11993 |
Centers for Disease Control and Prevention |
Html |
en |
Long-Term Care Toolkit: Importance of Influenza Vaccination for Healthcare Personnel in Long-term Care |
The Importance of Influenza Vaccination for Health Care Personnel in Long-term Care - CDC |
| long-term medical conditions | 0.407647 |
| lab-confirmed flu | 0.417406 |
| Influenza Outbreak Management | 0.471986 |
| Long-Term Care Medicine | 0.410166 |
| influenza-related complications | 0.383495 |
| high flu vaccination | 0.473148 |
| Different flu vaccines | 0.483178 |
| pregnant women | 0.347578 |
| standard flu shots. | 0.466196 |
| Fluzone® High-Dose | 0.348818 |
| health care personnel | 0.985559 |
| health professional organizations | 0.395577 |
| special emphasis | 0.352086 |
| influenza vaccine | 0.606132 |
| vaccine options | 0.408791 |
| chronic medical conditions | 0.380692 |
| MF59 adjuvant | 0.352188 |
| flu hospitalizations | 0.44615 |
| dose influenza vaccine | 0.557038 |
| flu illness | 0.468389 |
| long-term care facility | 0.416069 |
| infected residents | 0.347017 |
| standard dose vaccine | 0.45376 |
| vaccine effectiveness | 0.396306 |
| high risk | 0.474577 |
|
| influenza outbreak | 0.483668 |
| influenza prevention measures | 0.469261 |
| influenza | 0.657668 |
| CDC’s Interim | 0.346093 |
| United States | 0.352302 |
| chronic health conditions | 0.40231 |
| health threat | 0.370091 |
| flu vaccine | 0.584495 |
| Health Care Settings | 0.411144 |
| different people | 0.360347 |
| trivalent vaccine | 0.407273 |
| spray flu vaccine | 0.532242 |
| influenza season | 0.436316 |
| long-term care facilities | 0.542132 |
| recombinant influenza vaccine | 0.555455 |
| flu viruses | 0.426871 |
| Seasonal Influenza | 0.433698 |
| influenza vaccination | 0.491715 |
| people | 0.412161 |
| high dose | 0.384813 |
| mild flu symptoms | 0.456999 |
| influenza infections | 0.435566 |
| ACIP recommendations | 0.354545 |
| older adults | 0.396802 |
|
CLICK HERE |
| 12793 |
Centers for Disease Control and Prevention |
Html |
en |
Communication and Leadership Personal Protective Equipment(PPE) | Ebola Hemorrhagic Fever | CDC |
null |
| ease | 0.348097 |
| casual observer | 0.581097 |
| challenges | 0.341969 |
| example | 0.339273 |
| demands active communication | 0.753606 |
| safety | 0.387006 |
| patient | 0.337419 |
| leadership | 0.337945 |
| verbal explanations | 0.531088 |
| healthcare worker | 0.95933 |
| situations | 0.342228 |
| proper communication protocols | 0.674693 |
| mind | 0.3377 |
| process | 0.431134 |
|
| Trained Observer | 0.576817 |
| equipment | 0.337569 |
| role clarity | 0.569702 |
| ‘red flag | 0.505215 |
| priority | 0.351903 |
| donning | 0.397856 |
| steps | 0.342604 |
| command | 0.382996 |
| clear roles | 0.543811 |
| extra diligence | 0.532482 |
| methodical pace | 0.551792 |
| closed-loop communication | 0.525122 |
| misunderstandings | 0.36107 |
| job | 0.339031 |
|
CLICK HERE |