| 5264 |
Centers for Disease Control and Prevention |
Html |
en |
Health Literacy - Develop Materials |
This page explains how to make information, products, and services accessible and understandable to intended audiences. This section includes resources to help you develop a wide-array of health information. |
| digital age | 0.330696 |
| actionable information | 0.368772 |
| accessibility | 0.225274 |
| Materials | 0.226426 |
| Plain Language resources | 0.459814 |
| Older Adults Communication | 0.449401 |
| wide-array | 0.228474 |
| large font | 0.331383 |
| section | 0.228518 |
| health information | 0.733458 |
| best way | 0.323931 |
| research | 0.22916 |
| products | 0.228775 |
| Health literacy practices | 0.463739 |
| Visual Communication | 0.337933 |
| ways | 0.257025 |
| human nature | 0.331423 |
| literacy best practices | 0.456435 |
| text | 0.224348 |
| bullets | 0.225061 |
| health professionals | 0.361271 |
| Tools resources | 0.3347 |
| useful captions | 0.334566 |
|
| images | 0.224368 |
| address | 0.226737 |
| health field | 0.336832 |
| Testing Messages | 0.344548 |
| main message statement | 0.443623 |
| useable format | 0.334943 |
| Americans | 0.226266 |
| services | 0.228753 |
| people | 0.483942 |
| health literacy barriers | 0.479474 |
| background information | 0.407478 |
| Multiple channels | 0.328114 |
| Key aspects | 0.344658 |
| intended audiences | 0.352119 |
| health literacy | 0.562366 |
| Web | 0.243521 |
| white space | 0.332595 |
| science | 0.225933 |
| older adults | 0.452458 |
| information | 0.91019 |
| decades | 0.229711 |
| sub-heads | 0.224293 |
| Audience tools | 0.337901 |
|
CLICK HERE |
| 6533 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Escherichia coli O157:H7 Gastroenteritis Associated with a State Fair - North Carolina, 2011 |
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. |
| North Carolina | 0.936544 |
| mmwrq@cdc.gov. | 0.589209 |
| County Health Dept | 0.664115 |
| laboratory directors | 0.587281 |
| Escherichia coli | 0.598463 |
| Human Services | 0.623286 |
| Casey Barton Behravesh | 0.622578 |
| control subjects | 0.797003 |
| accessible hand-washing stations | 0.631414 |
| MMWR HTML versions | 0.634098 |
| U.S. Department | 0.622507 |
| Fair attendees | 0.602364 |
| direct contact | 0.585715 |
| case-control study | 0.584722 |
| previous foodborne outbreaks | 0.638028 |
| electronic PDF version | 0.632666 |
| fair attendance | 0.603763 |
| Zoonotic Infectious Diseases | 0.627723 |
| Carolina State Fair | 0.818689 |
| North Carolina Dept | 0.744407 |
| multiagency task force | 0.633269 |
| Contact GPO | 0.589729 |
| exhibitions housing animals | 0.648153 |
| public health officials | 0.686379 |
|
| original paper copy | 0.626966 |
| laboratory confirmation | 0.653197 |
| hospital-based public health | 0.69378 |
| previous STEC outbreak | 0.685288 |
| original MMWR paper | 0.639692 |
| U.S. Government Printing | 0.633166 |
| Human Svcs | 0.667133 |
| hemolytic uremic syndrome | 0.650644 |
| Stephanie Griese | 0.635797 |
| Pulsed-field gel electrophoresis | 0.639075 |
| physical contact | 0.721442 |
| Sue Lynn Ledford | 0.622221 |
| North Carolina Division | 0.706784 |
| Public Settings | 0.585599 |
| public health | 0.723308 |
| E. coli | 0.660034 |
| preventive measures | 0.624525 |
| Career Epidemiology Field | 0.627667 |
| North Carolina State | 0.810585 |
| subject line | 0.587337 |
| PulseNet database.†Case-patients | 0.6633 |
| fair activities | 0.607072 |
| epidemiologists.* Passive surveillance | 0.637481 |
| Active case finding | 0.650967 |
|
CLICK HERE |
| 6546 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Binge Drinking Prevalence, Frequency, and Intensity Among Adults - United States, 2010 |
Background: Binge drinking accounts for more than half of the estimated 80,000 average annual deaths and three quarters of $223.5 billion in economic costs resulting from excessive alcohol consumption in the United States. |
| lowest prevalence | 0.432428 |
| binge drinkers | 0.579527 |
| Binge drinking accounts | 0.54544 |
| lower prevalence | 0.464333 |
| Risk Factor Surveillance | 0.455427 |
| higher prevalence | 0.453055 |
| binge drinking | 0.938081 |
| frequency | 0.462316 |
| BRFSS data | 0.429349 |
| highest age-adjusted prevalence | 0.463236 |
| telephone developmental dataset | 0.436063 |
| BRFSS | 0.436733 |
| high intensity | 0.45822 |
| Excessive alcohol use* | 0.429269 |
| age-adjusted intensity | 0.440225 |
| adult binge drinking | 0.561476 |
| 48 states | 0.43873 |
| response rate | 0.43092 |
| southern Mountain states | 0.443147 |
| binge drinking episodes | 0.531889 |
| persons | 0.42992 |
| average prevalence | 0.43523 |
| cellular telephone respondents | 0.502464 |
| highest frequency | 0.460203 |
|
| cellular telephone-only adults | 0.439361 |
| largest number | 0.437752 |
| Behavioral Risk Factor | 0.455467 |
| binge drinking episode | 0.530091 |
| occasion | 0.458322 |
| economic costs | 0.434127 |
| overall prevalence | 0.445386 |
| United States | 0.454993 |
| drinks | 0.467905 |
| average intensity | 0.430088 |
| alcohol consumption | 0.472113 |
| alcoholic beverages | 0.467661 |
| states | 0.478177 |
| BRFSS respondents | 0.429314 |
| highest binge drinking | 0.561802 |
| total number | 0.43913 |
| excessive drinking | 0.455755 |
| landline respondents | 0.438133 |
| U.S. adults | 0.450747 |
| intensity | 0.507257 |
| household incomes | 0.482965 |
| developmental dataset | 0.466985 |
| binge drinking prevalence | 0.651432 |
| excessive alcohol consumption | 0.446616 |
|
CLICK HERE |
| 7310 |
Centers for Disease Control and Prevention |
Html |
en |
Supplemental Interim Guidance for School Administrators Associated with Possible Outbreaks of H3N2 Variant Influenza Virus |
Supplemental Interim Guidance for School Administrators Associated with Possible Outbreaks of H3N2 Variant Influenza Virus ( |
| sick students | 0.315673 |
| H3N2v virus infection | 0.845393 |
| health care provider | 0.397246 |
| Refer students | 0.312676 |
| tissue | 0.23796 |
| supplemental guidance | 0.315919 |
| cough | 0.240374 |
| pigs | 0.345034 |
| School Administrators | 0.300062 |
| number | 0.222741 |
| terms | 0.222482 |
| H3N2v virus | 0.982386 |
| flu-like illness | 0.605673 |
| seasonal influenza | 0.441756 |
| July-August | 0.229784 |
| past | 0.221038 |
| sick people | 0.311107 |
| water | 0.235869 |
| different states | 0.323621 |
| seasonal flu viruses | 0.444162 |
| high risk | 0.310315 |
| outbreaks | 0.223224 |
| human infection | 0.352136 |
| soap | 0.237042 |
|
| Germs | 0.224048 |
| alcohol-based hand rub | 0.397835 |
| students | 0.330508 |
| limited person-to-person transmission | 0.419959 |
| local health department | 0.401145 |
| dates approach | 0.314297 |
| sore throat | 0.320242 |
| close contact | 0.523317 |
| Inform parents | 0.305819 |
| nose | 0.246125 |
| severity | 0.225912 |
| agricultural fairs | 0.31818 |
| flu-like symptoms | 0.367634 |
| seasonal flu vaccine | 0.433997 |
| flu viruses | 0.454495 |
| staff | 0.25548 |
| sick person | 0.315843 |
| k-12 schools | 0.370876 |
| spread | 0.283495 |
| Share key messages | 0.386044 |
| swine | 0.223446 |
| mouth | 0.24516 |
| H3N2v virus cases | 0.4871 |
| information | 0.220748 |
|
CLICK HERE |
| 8253 |
Centers for Disease Control and Prevention |
Html |
en |
VWD, Articles - NCBDDD |
null |
| African-American Women | 0.350059 |
| Psychosocial Experiences | 0.347315 |
| von willebrand | 0.752119 |
| oral tranexamic acid | 0.491555 |
| Stein SF | 0.509149 |
| Issue | 0.373202 |
| Philipp CS | 0.673054 |
| Clinical Management | 0.347707 |
| Inherited Bleeding Disorders | 0.398308 |
| American Women | 0.351424 |
| unexplained menorrhagia | 0.439574 |
| Multisite management study | 0.492936 |
| abnormal laboratory hemostasis | 0.50219 |
| Haemophilia Treatment Centres | 0.49799 |
| Willebrand Factor Levels | 0.409425 |
| British Journal | 0.402775 |
| von Willebrand Factor | 0.57693 |
| Relative Effects | 0.347341 |
| Read summary | 0.684544 |
| National Center | 0.345976 |
| ABO Blood Type | 0.388931 |
| platelet function analyzer | 0.497985 |
| Read article | 0.43994 |
| haemostatic characteristics | 0.412632 |
| Evatt | 0.491805 |
|
| menorrhagia | 0.46657 |
| Volume | 0.373237 |
| NF | 0.352662 |
| women | 0.468937 |
| Skerette NI | 0.405718 |
| Ayers | 0.35099 |
| von willebrand disease | 0.642539 |
| Diagnosed Menorrhagia | 0.378857 |
| United States | 0.34905 |
| Platt SJ | 0.347999 |
| Evatt BL | 0.456214 |
| Disease Receiving Care | 0.38495 |
| Case-Control Study | 0.34875 |
| intranasal desmopressin | 0.415555 |
| Heit JA | 0.531725 |
| Dilley | 0.516909 |
| Miller CH | 0.949985 |
| Women Diagnosed | 0.351884 |
| underlying bleeding disorders | 0.500006 |
| Faiz | 0.357121 |
| Willebrand Factor Activity | 0.418494 |
| Dilley AB | 0.479193 |
| CDC scientific articles | 0.392313 |
| prospective crossover study | 0.488416 |
|
CLICK HERE |
| 8307 |
Centers for Disease Control and Prevention |
Html |
en |
Rape Prevention and Education (RPE) Program - Funded Programs - Violence Prevention - Injury Center |
null |
| sexual violence perpetration | 0.484743 |
| program evaluation data | 0.387399 |
| Northern Mariana Islands | 0.392465 |
| Violence Against Women | 0.42474 |
| state health departments | 0.404109 |
| sexual violence prevention | 0.794331 |
| sexual violence coalitions | 0.521238 |
| RPE programs | 0.442976 |
| state sexual violence | 0.55367 |
| CDC’s Injury | 0.351617 |
| poor mental health | 0.380902 |
| prevention programs | 0.391911 |
| Program activities | 0.355416 |
| community data | 0.347442 |
| long-term health consequences | 0.380029 |
| state agency partners | 0.396612 |
| prevention opportunities | 0.36399 |
| health protection agency | 0.384897 |
| Rape Prevention | 0.352022 |
| social change theories | 0.381187 |
| Primary prevention—stopping violence | 0.484812 |
| Puerto Rico | 0.346798 |
| behavior patterns | 0.345357 |
| rape crisis centers | 0.389701 |
|
| unhealthy behaviors | 0.344702 |
| RPE grantees | 0.467223 |
| program decisions | 0.351947 |
| safety data | 0.346938 |
| public health approach | 0.390363 |
| physical health problems | 0.382181 |
| public health burden | 0.38503 |
| diverse stakeholders | 0.347762 |
| U.S. Virgin Islands | 0.389544 |
| public health | 0.410933 |
| violence prevention systems | 0.510334 |
| 50 states | 0.353646 |
| sexual violence | 0.964221 |
| way individual | 0.344577 |
| community organizations | 0.35031 |
| RPE program | 0.554748 |
| violence prevention strategies | 0.480366 |
| best available evidence | 0.383725 |
| future program plans | 0.390893 |
| public health problem | 0.383831 |
| violence prevention efforts | 0.629467 |
| comprehensive prevention strategies | 0.394655 |
| educational institutions | 0.34988 |
| social norms | 0.346469 |
|
CLICK HERE |
| 8360 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: World Water Day - March 22, 2013 |
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. |
| mmwrq@cdc.gov. | 0.588817 |
| sustainable uses | 0.56776 |
| endorsement | 0.474632 |
| United Nations | 0.580208 |
| Human Services | 0.683792 |
| economic benefits | 0.569658 |
| assistive technology | 0.596629 |
| poverty eradication | 0.572023 |
| gains | 0.433146 |
| MMWR HTML versions | 0.690093 |
| U.S. Department | 0.678126 |
| water resources | 0.683469 |
| sanitation resources | 0.601535 |
| electronic PDF version | 0.68025 |
| e-mail | 0.463214 |
| different disciplines | 0.564527 |
| improved drinking water | 0.765683 |
| Additional information | 0.568321 |
| Contact GPO | 0.589363 |
| social equity | 0.56408 |
| commercial sources | 0.563573 |
| different types | 0.570427 |
| sustainable development | 0.568885 |
| current prices | 0.556808 |
|
| persons | 0.46126 |
| essential resources | 0.579362 |
| original paper copy | 0.687809 |
| General Assembly | 0.57372 |
| peace | 0.449031 |
| World Water | 0.885059 |
| U.S. Government Printing | 0.694955 |
| original MMWR paper | 0.684544 |
| global access | 0.570293 |
| MMWR readers | 0.566482 |
| character translation | 0.555605 |
| vital issue | 0.561084 |
| file | 0.431766 |
| format errors | 0.5561 |
| hygiene resources | 0.570073 |
| subject line | 0.591078 |
| Health | 0.447983 |
| typeset documents | 0.56286 |
| trade names | 0.563689 |
| water cooperation | 0.923815 |
| official text | 0.553712 |
| non-CDC sites | 0.560313 |
| organizations | 0.454874 |
| electronic conversions | 0.551989 |
|
CLICK HERE |
| 8484 |
Centers for Disease Control and Prevention |
Html |
en |
Michael's Videos - Videos - Campaign Resources - Tips From Former Smokers - Smoking & Tobacco Use |
Commercials and extended videos featuring Michael, an Alaska Native, and member of the Tlingit tribe, has Chronic Obstructive Pulmonary Disease (COPD), a condition caused by smokinge. Videos from the Tips from Former Smokers campaign, which features real people suffering as a result of smoking and exposure to secondhand smoke. |
| death | 0.339671 |
| —a condition | 0.551583 |
| lung disease | 0.487952 |
| video | 0.431864 |
| lung damage | 0.519407 |
| wisdom | 0.345209 |
| Alaska Native | 0.519555 |
| children | 0.345245 |
| Michael | 0.702912 |
| smoking | 0.458714 |
| Smokers® campaign | 0.524369 |
| lungs | 0.348506 |
| hospital | 0.340398 |
| CDC’s Tips | 0.747634 |
| TV commercial | 0.537605 |
| cigarette | 0.342302 |
|
| desire | 0.343274 |
| living | 0.341456 |
| grandchildren | 0.361675 |
| Smokers campaign | 0.498395 |
| place… | 0.339832 |
| flu | 0.348871 |
| morning | 0.339733 |
| doctor | 0.383212 |
| smoking—that | 0.346439 |
| Chronic Obstructive Pulmonary | 0.76661 |
| doctors | 0.341496 |
| constant fear | 0.520302 |
| family | 0.339069 |
| obstructive pulmonary disease | 0.904207 |
| COPD | 0.515401 |
|
CLICK HERE |
| 12892 |
Centers for Disease Control and Prevention |
Html |
en |
Crashes are the leading cause of on-the-job death for truck drivers in the US |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| known risk factors | 0.290207 |
| company safety policies | 0.313534 |
| Mortality Weekly Report | 0.297429 |
| truck crashes | 0.32672 |
| CDC journal Morbidity | 0.305633 |
| health care-associated infections | 0.293492 |
| truck drivers | 0.902492 |
| on-the-job deaths | 0.260938 |
| large trucks | 0.360292 |
| Long-Haul Truck Driver | 0.368576 |
| company safety programs | 0.323348 |
| truck stops | 0.28368 |
| CDC Principal Deputy | 0.310808 |
| comprehensive driver safety | 0.316872 |
| Safety page | 0.27024 |
| Drivers page | 0.272544 |
| motor vehicle safety | 0.541242 |
| seat belt laws | 0.359777 |
| truck driver safety | 0.356137 |
| Director Ileana Arias | 0.303719 |
| seat belts | 0.334031 |
| motor carrier safety | 0.326333 |
| overall safety | 0.270945 |
| diverse body types | 0.287411 |
| Vital Signs | 0.4038 |
|
| United States | 0.310844 |
| primary seat belt | 0.365833 |
| vehicle passenger safety | 0.323411 |
| motor vehicle crash | 0.411112 |
| motor vehicle | 0.705151 |
| long-haul truck drivers | 0.679261 |
| Occupational Safety | 0.271264 |
| prescription drug overdose | 0.290193 |
| United States economy | 0.308525 |
| trucker safety | 0.271029 |
| unsafe driving behaviors | 0.2974 |
| key health indicators | 0.293984 |
| Vital Signs report | 0.403363 |
| latest Vital Signs | 0.317582 |
| crash fatalities | 0.263461 |
| NIOSH Motor Vehicle | 0.325641 |
| bus crashes | 0.311086 |
| road users | 0.260704 |
| food safety | 0.271201 |
| seat belt | 0.647791 |
| workplace safety program | 0.316324 |
| NIOSH Long-Haul Truck | 0.360069 |
| CDC report | 0.269014 |
| motor vehicle crashes | 0.455421 |
|
CLICK HERE |
| 15514 |
Centers for Disease Control and Prevention |
Html |
en |
WHO African Region (AFR) 2012-2013 |
Overview of the CDC Influenza Division International Program WHO African Region (AFR), its objectives and goals, and contains downloadable annual reports on supported countries. |
| National Influenza Centres | 0.442679 |
| Global Influenza Surveillance | 0.582612 |
| severe influenza | 0.436864 |
| epidemiological surveillance activities | 0.277822 |
| Disease Control | 0.323947 |
| Response Team Influenza | 0.469019 |
| new cooperative agreements | 0.250413 |
| CDC Influenza Division | 0.469029 |
| weekly data | 0.284912 |
| seasonal influenza vaccines | 0.460305 |
| virologic surveillance systems | 0.301852 |
| World Health Organization | 0.3117 |
| surveillance data | 0.2549 |
| Indian Ocean | 0.334367 |
| seasonal influenza | 0.491996 |
| non-research cooperative agreements | 0.262561 |
| countries | 0.295975 |
| National Influenza Reference | 0.446602 |
| Congo | 0.341046 |
| cooperative agreements | 0.54052 |
| Influenza Division | 0.655706 |
| virological surveillance | 0.417511 |
| influenza laboratory network | 0.78296 |
| Regional Office | 0.447955 |
| South Africa | 0.25278 |
|
| Central African Republic | 0.336241 |
| influenza | 0.907517 |
| influenza reference laboratories | 0.540822 |
| building influenza surveillance | 0.556235 |
| Regional Influenza Laboratory | 0.46283 |
| national influenza sentinel | 0.714012 |
| U.S. Centers | 0.32507 |
| sentinel surveillance protocol | 0.306943 |
| influenza B. | 0.382284 |
| Integrated Disease Surveillance | 0.284923 |
| Sierra Leone | 0.463866 |
| National Influenza Centers | 0.472623 |
| bilateral cooperative agreements | 0.271903 |
| pandemic influenza | 0.489988 |
| Zimbabwe sentinel surveillance | 0.288286 |
| sustainable surveillance | 0.252591 |
| on-site training | 0.297089 |
| influenza sentinel surveillance | 0.765904 |
| technical assistance | 0.277292 |
| African Region | 0.274677 |
| afr influenza laboratory | 0.572326 |
| African influenza laboratories | 0.510673 |
| Burkina Faso | 0.270376 |
| influenza viruses | 0.379237 |
|
CLICK HERE |