| 6744 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Malawi |
null |
| Malawi Population-Based HIV | 0.685641 |
| Field Epidemiology Training | 0.476445 |
| electronic medical record | 0.539763 |
| efficient HIV programs | 0.515989 |
| health facility efficiency | 0.485148 |
| Registration Vital statistics | 0.469185 |
| primary malaria prevention | 0.498464 |
| health worker management | 0.485671 |
| national HIV surveillance | 0.509617 |
| new healthcare workers | 0.470838 |
| University Research Co. | 0.466303 |
| Malawi’s HIV | 0.643491 |
| National Strategic plan | 0.480908 |
| training health workers | 0.514086 |
| Malawi College | 0.644685 |
| National Aids Commission | 0.478083 |
| Pediatric AIDS Foundation | 0.465466 |
| HIV positive population | 0.513581 |
| Public Health Institute | 0.493214 |
| Medicine Malaria | 0.46508 |
| Malawi Ministry | 0.64444 |
| CDC Malawi | 0.970277 |
| service delivery | 0.471814 |
| malaria programmatic decision-making | 0.496854 |
|
| Population Reference Bureau | 0.477259 |
| national public health | 0.519973 |
| HIV status | 0.49695 |
| Infant mortality rate | 0.469068 |
| national Electronic Medical | 0.48069 |
| comprehensive HIV services | 0.502608 |
| professional training colleges | 0.473567 |
| malaria case management | 0.49774 |
| intermittent preventive treatment | 0.467036 |
| cell phone messages | 0.465114 |
| population viral load | 0.472576 |
| newly launched Civil | 0.473291 |
| Malawi MOH | 0.624177 |
| frontline FETP course | 0.469873 |
| Christian Health Association | 0.585069 |
| CDC support | 0.539127 |
| quality control protocols | 0.470343 |
| Malaria Alert Centre | 0.549954 |
| Country Health Statistical | 0.50384 |
| National Registration Bureau | 0.471825 |
| Malawi Blood Transfusion | 0.62191 |
| national level incidence | 0.481499 |
| operational research activities | 0.464521 |
|
CLICK HERE |
| 7843 |
Centers for Disease Control and Prevention |
Html |
en |
HIV Transmission - Health Communication |
HIV Transmission - Gateway to Health Communication - CDC |
| Americans contract HIV | 0.779344 |
| prevention education | 0.483893 |
| 27-year-old Latino male | 0.564053 |
| HIV status | 0.657767 |
| local health clinic | 0.561996 |
| local treatment | 0.485907 |
| risky behaviors | 0.921328 |
| support systems | 0.489632 |
| local support group | 0.55629 |
| AIDS | 0.451341 |
| counseling services | 0.483058 |
| information services | 0.483292 |
| lack | 0.431811 |
| local men | 0.491055 |
| person | 0.426465 |
| human immunodeficiency virus | 0.628148 |
| rectum | 0.42207 |
| injecting-drug equipment | 0.495527 |
| unprotected sex | 0.596541 |
| condom | 0.44206 |
| undocumented farm worker | 0.56602 |
| vaginal secretions | 0.502956 |
| gonorrhea | 0.420076 |
| false perception | 0.488853 |
| complacency | 0.424135 |
|
| partner abuse | 0.488021 |
| local bar | 0.491306 |
| cultural values | 0.483636 |
| Risk behaviors | 0.541137 |
| mucous membranes | 0.513785 |
| counselor | 0.430292 |
| stinging sensation | 0.493988 |
| immunodeficiency syndrome | 0.519876 |
| penis | 0.418736 |
| co-workers | 0.41873 |
| mucous membrane | 0.513146 |
| HIV transmission | 0.794205 |
| multiple partners | 0.495611 |
| social stigma | 0.495232 |
| HIV prevention efforts | 0.749901 |
| rapid HIV test | 0.71035 |
| broken skin | 0.492519 |
| tremendous need | 0.500023 |
| migrant workers | 0.488378 |
| recent advances | 0.580436 |
| testing facilities | 0.491698 |
| HIV | 0.97319 |
| Mexico | 0.430535 |
| Pedro | 0.552398 |
|
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| 10732 |
Centers for Disease Control and Prevention |
Html |
en |
Ionizing Radiation and Diagnostic Exams - Health Communication |
Gateway to Health Communication and Social Marketing Practice - Radiation: Ionizing Radiation and Diagnostic Exams |
| abdominal pains | 0.303353 |
| large number | 0.303387 |
| diagnostic exams | 0.612018 |
| PET scans | 0.299379 |
| radiation experts | 0.439376 |
| diagnostic examinations | 0.313324 |
| Medical Imaging | 0.38357 |
| mental retardation | 0.311805 |
| diagnostic scan uses | 0.381939 |
| children | 0.257902 |
| medical condition | 0.298832 |
| large amounts | 0.308633 |
| diagnostic tests | 0.310735 |
| Lauren | 0.263485 |
| benefit | 0.233585 |
| fluoroscopy exams | 0.333829 |
| tests | 0.321831 |
| older age | 0.301614 |
| skin burns | 0.301312 |
| ionizing radiation | 0.720967 |
| medical tests | 0.304098 |
| fetus | 0.243534 |
| CT scans | 0.316144 |
| parents | 0.252245 |
| benefits | 0.233872 |
|
| radiation increases | 0.457743 |
| harm | 0.243207 |
| medically necessary imaging | 0.371699 |
| high levels | 0.302893 |
| possible concussion | 0.309191 |
| radiation exposure | 0.470887 |
| CT/CAT scans | 0.299438 |
| correct diagnosis | 0.295349 |
| medical x-rays | 0.324829 |
| old football player | 0.379248 |
| adverse health effects | 0.399046 |
| small increase | 0.29807 |
| diagnostic ionizing radiation | 0.620639 |
| recent football game | 0.37844 |
| CT scan | 0.388284 |
| James | 0.306685 |
| beneficial uses | 0.316143 |
| younger age | 0.303734 |
| greater opportunity | 0.30391 |
| exposures | 0.249511 |
| medical test | 0.301558 |
| radiation | 0.917366 |
| higher lifetime risk | 0.390118 |
| future pregnancies | 0.3028 |
|
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| 11047 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Botulism From Drinking Prison-Made Illicit Alcohol — Arizona, 2012 |
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. |
| Human Services | 0.656727 |
| U.S. Department | 0.655019 |
| MMWR HTML versions | 0.65186 |
| Seema Yasmin | 0.663481 |
| electronic PDF version | 0.651863 |
| heptavalent botulinum antitoxin | 0.710439 |
| prison authorities | 0.694087 |
| botulinum toxin | 0.733606 |
| bacterium Clostridium botulinum | 0.73748 |
| Vista Medical Center | 0.646182 |
| prison staff education | 0.762612 |
| prison A inmate | 0.736391 |
| different inmates | 0.651659 |
| prison store | 0.695339 |
| cranial nerve palsies | 0.671718 |
| maximum security prison | 0.944039 |
| previous outbreak | 0.641713 |
| original paper copy | 0.6456 |
| botulism | 0.934795 |
| Pinal County Dept | 0.659207 |
| Jamae F. Morris | 0.643687 |
| outbreak source | 0.729094 |
| percutaneous endoscopic gastrostomies | 0.664484 |
| Clarisse A. Tsang | 0.659749 |
|
| Health Services | 0.690405 |
| Tara C. Anderson | 0.647132 |
| botulism outbreaks | 0.825646 |
| original MMWR paper | 0.658238 |
| U.S. Government Printing | 0.652567 |
| type A. Pruno | 0.699633 |
| pruno-related botulism | 0.770414 |
| Laura E. Adams | 0.638892 |
| male inmates | 0.752536 |
| Utah maximum security | 0.656396 |
| commonly used ingredients | 0.6559 |
| prison kitchen | 0.696475 |
| Agam K. Rao | 0.658716 |
| drinking pruno | 0.768381 |
| future outbreaks | 0.697287 |
| Clostridium botulinum bacteria | 0.717592 |
| Pinal County Health | 0.694039 |
| Janet K. Dykes | 0.649099 |
| pruno production | 0.690468 |
| recent outbreak | 0.640236 |
| respiratory muscle paralysis | 0.654119 |
| Rajal K. Mody | 0.662453 |
| positive clinical specimen | 0.671215 |
| California prison | 0.773883 |
|
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| 11320 |
Centers for Disease Control and Prevention |
Html |
en |
Organization Assessment Tools |
This page provides tools and resources for researching and evaluating health literacy practice. |
| Public Health | 0.508141 |
| usable health information | 0.560751 |
| develop materials | 0.513186 |
| Literacy Universal Precautions | 0.703116 |
| HHS Office | 0.468457 |
| Index Score Sheet | 0.505015 |
| Group Health Research | 0.547014 |
| Health Literate Organizations | 0.558089 |
| Health Information Technology | 0.560749 |
| HHS AHRQ National | 0.539696 |
| Achieving Organizational Change | 0.50407 |
| health care research | 0.548172 |
| health literacy skills | 0.642049 |
| Universal Precautions Toolkit | 0.610984 |
| Health Centers | 0.510955 |
| Federal Plain Language | 0.516394 |
| Minority Health | 0.498427 |
| Federal usability information | 0.512931 |
| AHRQ Health Literacy | 0.753337 |
| Disease Control | 0.507141 |
| multiple stakeholders | 0.462881 |
| Health Technology Assessment | 0.551646 |
| address its health | 0.52245 |
| Unity Point Health | 0.553031 |
|
| Healthcare Facility Literacy-Friendly | 0.518192 |
| current situation | 0.463838 |
| Healthcare Research | 0.624138 |
| NIH National Library | 0.570253 |
| General Assessment Tools | 0.527238 |
| Medicine Evidence-based Practice | 0.499767 |
| health literacy issues | 0.732673 |
| Health Literacy Environment | 0.655657 |
| Mass Media News | 0.497318 |
| honest assessment | 0.477976 |
| Emergency Risk Communication | 0.501291 |
| Develop Materials section | 0.511261 |
| Health Literacy Universal | 0.729734 |
| Plain Language Action | 0.51623 |
| health literacy | 0.939868 |
| plain language | 0.550249 |
| Emergency Risk Messaging | 0.496698 |
| Limited Literacy | 0.541553 |
| Linguistically Appropriate Services | 0.506534 |
| National Culturally | 0.461563 |
| training opportunities | 0.460365 |
| Information Network | 0.476231 |
| Health Literacy Assessment | 0.671265 |
|
CLICK HERE |
| 12406 |
Centers for Disease Control and Prevention |
Image |
null |
CDC Foundation Business Pulse: Flu Prevention (200W x 225H) |
null |
|
|
CLICK HERE |
| 13140 |
Centers for Disease Control and Prevention |
Html |
en |
Transcript for CDC press briefing: STRIVE trial begins in Sierra Leone |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Sierra Leone staff | 0.535168 |
| CDC | 0.499181 |
| interim analysis | 0.489792 |
| Ebola treatment | 0.478598 |
| MIKE STOBBE | 0.468357 |
| Ebola disease | 0.482266 |
| Ebola vaccine | 0.512274 |
| percent efficacious vaccine | 0.482349 |
| Dr. Anne Schuchat | 0.479449 |
| kathy harben | 0.467593 |
| press star | 0.528097 |
| vaccine efficacy studies | 0.500127 |
| clinical trial | 0.478937 |
| CDC foundation donations | 0.469914 |
| randomized individual trial | 0.474671 |
| CDC emergency appropriations | 0.472807 |
| public health facilities | 0.471532 |
| actual efficacy answer | 0.471142 |
| cold chain | 0.467094 |
| Ebola | 0.600104 |
| RBSV vaccine | 0.466637 |
| anne schuchat | 0.707898 |
| Ebola virus disease | 0.493315 |
| control study types | 0.469548 |
| study | 0.556446 |
|
| MENU
CDC A-Z | 0.482598 |
| individually randomized trial | 0.472395 |
| Sierra Leone | 0.946753 |
| Allied Health Sciences | 0.472276 |
| early small studies | 0.46877 |
| line workers | 0.46713 |
| study areas | 0.470045 |
| health care workers | 0.581586 |
| Dr. Schuchat | 0.469091 |
| early key support | 0.46537 |
| question | 0.556664 |
| safety monitoring board | 0.519104 |
| people | 0.493433 |
| line health care | 0.466963 |
| health facility leaders | 0.47081 |
| vaccine | 0.578459 |
| Sierra Leone pharmacy | 0.526606 |
| health facility workers | 0.480274 |
| Sierra Leone Ministry | 0.54035 |
| CDC foundation | 0.475295 |
| Ebola vaccines | 0.483558 |
| Sierra Leone trial | 0.645343 |
| line health workers | 0.518754 |
| time | 0.499246 |
|
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| 13569 |
Centers for Disease Control and Prevention |
Video |
en |
Cote de Pablo for Inside Knowledge PSA (:60) Version A |
Actress Cote de Pablo talks about her own cervical cancer scare and shares advice for other women.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://www.cdc.gov/wcms/videos/low-res/NCCDPHP/2015/cote_video_english_60_925629.mp4 |
| Version | 0.33075 |
| Knowledge PSA | 0.747818 |
|
|
CLICK HERE |
| 15285 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage among Children Aged 6-23 Months - United States, 2008-09 Influenza Season |
Number of children between the ages of 6 months through 23 months that were vaccinated against flu during 2008-2009. |
| influenza | 0.973354 |
| Immunization Practices recommendation | 0.368451 |
| influenza vaccination-coverage measures | 0.483591 |
| doses | 0.532404 |
| vaccine naïve children | 0.527911 |
| children’s vaccination | 0.416564 |
| influenza vaccination coverage | 0.694449 |
| Los Angeles County | 0.369549 |
| emergency department visits | 0.373456 |
| Later-season vaccination | 0.390819 |
| influenza dose | 0.495247 |
| 2010-11 seasonal influenza | 0.526727 |
| seasonal influenza vaccination | 0.580422 |
| vaccination algorithm | 0.395197 |
| Immunization Practices | 0.379976 |
| Advisory Committee | 0.379496 |
| children | 0.846065 |
| percentage | 0.383533 |
| seasonal influenza vaccine. | 0.471142 |
| seasonal influenza vaccine | 0.526978 |
| National Immunization Survey | 0.433267 |
| influenza vaccine | 0.968173 |
| single annual doses | 0.401434 |
| influenza season | 0.848059 |
|
| provider-reported immunization records | 0.370507 |
| 2007-08 influenza season | 0.485523 |
| influenza vaccinations | 0.474802 |
| seasonal influenza vaccinations | 0.470229 |
| provider-reported influenza vaccination | 0.576957 |
| vaccination coverage data | 0.42457 |
| vaccination efforts | 0.394258 |
| 2009 NIS interviews | 0.374845 |
| influenza vaccination | 0.913736 |
| previous influenza season | 0.598117 |
| routine vaccination | 0.399106 |
| Provider-reported vaccination records | 0.41736 |
| dose | 0.580744 |
| local areas | 0.416833 |
| vaccination providers | 0.410488 |
| vaccination period | 0.392465 |
| 2009 monovalent vaccine should receive | 0.426551 |
| vaccination data | 0.393493 |
| monovalent vaccine history | 0.388401 |
| NIS | 0.38195 |
| El Paso County | 0.36818 |
| time | 0.367642 |
| interview | 0.385185 |
|
CLICK HERE |
| 15560 |
Centers for Disease Control and Prevention |
Html |
en |
Diabetes and Your Kidneys |
null |
| red blood cells | 0.489333 |
| chronic kidney disease | 0.928618 |
| wastes | 0.232078 |
| thought | 0.229178 |
| production | 0.228277 |
| early stages | 0.349488 |
| Spotlights | 0.23381 |
| adults | 0.22794 |
| Kidney Disease Connection | 0.530182 |
| Twitter | 0.233086 |
| body | 0.261818 |
| type | 0.247732 |
| MB | 0.270639 |
| nephrons | 0.256153 |
| causes | 0.227478 |
| long time | 0.3465 |
| Features | 0.226867 |
| CDC Diabetes | 0.439618 |
| blood chemicals | 0.356922 |
| CKD | 0.418487 |
|
| Facebook | 0.233633 |
| blood pressure | 0.484934 |
| test results | 0.352985 |
| overall health | 0.344654 |
| hard-working kidneys | 0.415014 |
| people | 0.232111 |
| excess fluid | 0.366149 |
| doctor | 0.227559 |
| National Chronic Kidney | 0.543452 |
| Disease Fact Sheet | 0.451598 |
| tiny filters | 0.358288 |
| condition | 0.227414 |
| high blood pressure | 0.477877 |
| bones | 0.231416 |
| toxins | 0.235629 |
| millions | 0.232633 |
| CDCDiabetes | 0.226499 |
| job | 0.265888 |
| diabetes | 0.476763 |
| Diabetes Translation | 0.424152 |
|
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