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Centers for Disease Control and Prevention |
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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 |
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Centers for Disease Control and Prevention |
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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 |
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Centers for Disease Control and Prevention |
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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 |
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Centers for Disease Control and Prevention |
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es |
Cómo reconocer un congelamiento|Annuncio de servicio público |
Los Centros para el Control y la Prevención de Enfermedades (CDC) proveen anuncios de servicio público (PSA, por sus siglas en inglés) para compartir información que puede salvar vidas durante desastres naturales y situaciones de mal tiempo. Los PSA en inglés y en español están disponibles en una variedad de formatos que incluyen texto, audio y video. |
| Archivo Apple Quicktime | 0.655648 |
| Archivo RealPlayer | 0.562463 |
| Archivo Zip Comprimido | 0.666254 |
| Archivo Microsoft PowerPoint | 0.700615 |
|
| Archivo Microsoft Excel | 0.663817 |
| Archivo Adobe PDF | 0.663451 |
| Archivo Microsoft | 0.927172 |
| Archivo Microsoft Word | 0.694616 |
|
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Pertussis | Surveillance Trend Reporting and Case Definition | CDC |
Pertussis Surveillance and Reporting |
| Page | 0.241605 |
| B. pertussis | 0.57193 |
| pertussis | 0.997984 |
| control strategies | 0.27819 |
| pertussis incidence | 0.60431 |
| following information | 0.280249 |
| following symptoms | 0.28013 |
| View data | 0.282722 |
| pertussis cases | 0.84178 |
| pertussis surveillance worksheet | 0.697105 |
| pertussis special studies | 0.634417 |
| diagnostic laboratories | 0.291437 |
| enhanced surveillance | 0.288163 |
| additional information | 0.27601 |
| epidemiologic trends | 0.288906 |
| pertussis vaccines | 0.593207 |
| greatest risk | 0.282406 |
| graph | 0.229549 |
| pertussis surveillance | 0.711277 |
| View larger image | 0.50471 |
| pertussis laboratory results | 0.726942 |
| case definition | 0.493392 |
| laboratory diagnostics | 0.286068 |
| pertussis reports | 0.592672 |
| Territorial Epidemiologists | 0.28669 |
|
| cough duration | 0.314976 |
| case ascertainment | 0.286203 |
| laboratory-confirmed case | 0.291011 |
| Diphtheria Laboratory | 0.277293 |
| CDC NNDSS | 0.313718 |
| United States | 0.284305 |
| Acute cough illness | 0.37648 |
| age group | 0.285828 |
| clinical case definition | 0.493352 |
| Emerging Infections Program | 0.336445 |
| pertussis prevention | 0.568453 |
| likely diagnosis | 0.27919 |
| pertussis case-patients | 0.609612 |
| State health departments | 0.501314 |
| probable pertussis cases | 0.74799 |
| EPS sites | 0.337997 |
| Notifiable Diseases Surveillance | 0.391974 |
| appropriate health department | 0.374371 |
| standardized case definition | 0.371916 |
| data collection | 0.274762 |
| Bordetella species | 0.280245 |
| recent case definition | 0.370273 |
| clinical specimen | 0.279295 |
| CDC Pertussis | 0.583481 |
|
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Centers for Disease Control and Prevention |
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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 |
|
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Choose Effective Policies and Programs - Tools forSuccessful CHI Efforts - Chi Nav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| IRS Final Rule | 0.62855 |
| Health Needs Assessments | 0.831994 |
| appropriately matched interventions | 0.591976 |
| health equity | 0.34529 |
| interactive database | 0.328314 |
| innovative interventions | 0.462366 |
| physical environment | 0.475877 |
| impact evaluations | 0.33389 |
| key concept | 0.333631 |
| evidence-based strategies | 0.331949 |
| health behaviors | 0.475151 |
| evidence-informed interventions | 0.595975 |
| Evaluate Actions section | 0.447015 |
| CHI priorities | 0.345977 |
| Excise Tax Return | 0.409208 |
| local practice | 0.327331 |
| adequate resources | 0.338275 |
| community-based interventions | 0.494249 |
| Community Health Needs | 0.970874 |
| action plan | 0.421386 |
| Charitable Hospitals | 0.653565 |
| environmental strategies | 0.438591 |
| customizable template | 0.328008 |
| greatest disease burden | 0.429301 |
| United States | 0.329192 |
|
| clear ratings | 0.332551 |
| action areas | 0.334742 |
| program interventions | 0.495367 |
| Internal Revenue Service | 0.423008 |
| key concepts | 0.673768 |
| duplicative separate documents | 0.416461 |
| Health Needs Assessment | 0.474691 |
| joint implementation strategies. | 0.420178 |
| priority issues | 0.330294 |
| effective policies | 0.349557 |
| balanced portfolio | 0.476457 |
| unique populations | 0.334429 |
| population health programs | 0.447192 |
| clinical care | 0.469516 |
| socioeconomic factors | 0.474513 |
| health-equity considerations | 0.325055 |
| policy/systems-change interventions | 0.587017 |
| interventions | 0.662339 |
| cross-system strategies | 0.330335 |
| Evaluate Actions | 0.471909 |
| best practices | 0.448527 |
| complementary activities | 0.343356 |
| greatest impact | 0.324564 |
| Alignment Template | 0.336884 |
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