| 4714 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Chagas Disease - Disease |
Education and information about Chagas Disease. |
| asymptomatic form | 0.561109 |
| infection | 0.626385 |
| bite wound | 0.531053 |
| eyelid | 0.352037 |
| Chagas disease | 0.976177 |
| skin | 0.33519 |
| chronic phase | 0.506151 |
| acute chagas disease | 0.924031 |
| inoculation | 0.35555 |
| occurrence | 0.335095 |
| Photo courtesy | 0.510679 |
| Chagas-related symptoms | 0.480507 |
| chemotherapy | 0.341376 |
| life-threatening medical problems | 0.625655 |
| Romaña | 0.340875 |
| infected people | 0.607599 |
| immune systems | 0.487666 |
| severe inflammation | 0.506068 |
|
| mucous membrane | 0.515843 |
| heart muscle | 0.490537 |
| bug feces | 0.540938 |
| chronic indeterminate | 0.504495 |
| AIDS | 0.333657 |
| swelling | 0.518199 |
| brain | 0.362417 |
| blood | 0.401152 |
| eye | 0.340101 |
| site | 0.335333 |
| acute infection | 0.602197 |
| acute phase | 0.543454 |
| marker | 0.346955 |
| severe disease | 0.482379 |
| parasites | 0.449061 |
| WHO/TDR | 0.364154 |
| time | 0.334624 |
|
CLICK HERE |
| 5263 |
Centers for Disease Control and Prevention |
Html |
en |
Health Literacy - Guidance and Standards |
Guidance and standards resources can help you make your health information accurate, accessible, and actionable. |
| cultural competence | 0.477397 |
| 11-part Toolkit | 0.462715 |
| Human Services | 0.547693 |
| NIH National Cancer | 0.633207 |
| usable sites | 0.454712 |
| practical approach | 0.46413 |
| content specialists | 0.445063 |
| public messages | 0.463394 |
| new research-based tool | 0.594221 |
| health literacy resource | 0.688751 |
| Disease Control | 0.612073 |
| important factors | 0.452414 |
| aid understanding | 0.45776 |
| specific audiences | 0.472097 |
| National Institutes | 0.477097 |
| limited literacy skills | 0.616016 |
| broad range | 0.44602 |
| health web site | 0.749935 |
| Health Literacy Online | 0.670723 |
| printed formats | 0.452916 |
| key objectives | 0.470851 |
| public health communication | 0.641399 |
| Clear Communication initiative | 0.709091 |
| government web designers | 0.585763 |
|
| health literacy | 0.973213 |
| plain language | 0.748591 |
| health communication efforts | 0.669838 |
| health communication | 0.72985 |
| Plain Writing Act | 0.584129 |
| comprehensive set | 0.453319 |
| public communication materials | 0.624709 |
| Health Communication Programs | 0.681611 |
| user-centered design | 0.450024 |
| Clear Communication Index | 0.901437 |
| familiar idea | 0.445567 |
| Clear Communication | 0.985889 |
| Medicaid Services | 0.574376 |
| strategy development | 0.461505 |
| limited experience | 0.442822 |
| National Cancer Institute | 0.886538 |
| federal agencies | 0.44917 |
| plain language approaches | 0.634683 |
| CDC Clear Communication | 0.678837 |
| online health information | 0.611709 |
| NIH Health Literacy | 0.779711 |
| Written Material Clear | 0.645169 |
| one-stop source | 0.449068 |
| Pink Book | 0.459618 |
|
CLICK HERE |
| 6188 |
Centers for Disease Control and Prevention |
Html |
en |
Regional and racial differences in smoking and exposure to secondhand smoke: the Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study. |
null |
| North Carolina | 0.430672 |
| smoking rates | 0.403605 |
| stroke buckle | 0.472672 |
| highest smoking rates | 0.363346 |
| median SHS exposure | 0.439639 |
| race-region strata | 0.378683 |
| regional differences | 0.58495 |
| whites | 0.347532 |
| current smokers | 0.304139 |
| SHS exposure time | 0.388023 |
| overall stroke risk | 0.317534 |
| odds | 0.297793 |
| stroke risk | 0.399259 |
| logistic regression | 0.334607 |
| current smoking | 0.793352 |
| high stroke mortality | 0.339123 |
| urban/rural residence | 0.41355 |
| current cigarette smoking | 0.310517 |
| stroke mortality | 0.484274 |
| higher stroke mortality | 0.356888 |
| racial differences | 0.429865 |
| coastal plain region | 0.311839 |
| SHS exposure | 0.999082 |
| different smoking rates | 0.307762 |
| smoking history | 0.362892 |
|
| lower stroke risk | 0.338855 |
| smoking prevalence | 0.318754 |
| stroke deaths | 0.313774 |
| African Americans | 0.990994 |
| geographic disparities | 0.301432 |
| hemorrhagic stroke | 0.314408 |
| stroke events | 0.303751 |
| South Carolina | 0.382855 |
| cigarette smoking | 0.34363 |
| nonbelt region | 0.450783 |
| stroke belt | 0.880387 |
| SHS exposure level | 0.39599 |
| higher current smoking | 0.319412 |
| ischemic stroke | 0.314559 |
| participants | 0.330773 |
| higher smoking rates | 0.350663 |
| secondhand smoke exposure | 0.369953 |
| incident stroke | 0.307514 |
| SHS exposure data | 0.387798 |
| stroke belt/buckle | 0.294547 |
| current smoking status | 0.37845 |
| stroke rates | 0.312943 |
| stroke belt states | 0.350973 |
| current smoking differs | 0.312569 |
|
CLICK HERE |
| 6230 |
Centers for Disease Control and Prevention |
Html |
en |
CDC national survey finds early childhood immunization rates increasing - Press Release: September 1, 2011 |
Latest State Data Show Rates of Obesity Remain High |
| CDC’s National | 0.436849 |
| pneumococcal disease | 0.418487 |
| recent increases | 0.410414 |
| long-standing recommended vaccines | 0.72219 |
| vaccine-preventable diseases. | 0.55246 |
| safest ways | 0.450612 |
| substantial disparities | 0.429811 |
| children | 0.563742 |
| ethnic groups | 0.40503 |
| young children | 0.45546 |
| rubella | 0.25136 |
| health care providers | 0.592559 |
| racial/ethnic groups | 0.406204 |
| National Immunization Survey | 0.950745 |
| recent outbreaks | 0.419551 |
| community groups | 0.412586 |
| vaccine requirements | 0.415997 |
| immunization rates | 0.751175 |
| Anne Schuchat | 0.424655 |
| Complete results | 0.407884 |
| HUMAN SERVICES | 0.404511 |
| mumps | 0.247498 |
| parents | 0.315901 |
| high levels | 0.453425 |
|
| severe harm | 0.440661 |
| percent | 0.378268 |
| vaccination coverage rates | 0.619637 |
| vaccination levels | 0.422285 |
| state programs | 0.415594 |
| national survey | 0.405093 |
| exemptions | 0.250929 |
| white children | 0.425247 |
| health services | 0.404419 |
| U.S. DEPARTMENT | 0.409412 |
| Disease Control | 0.450914 |
| Dr. Schuchat | 0.412056 |
| Hib | 0.26138 |
| households | 0.246873 |
| hepatitis | 0.247847 |
| Respiratory Diseases | 0.440495 |
| whooping cough | 0.44036 |
| vaccine coverage | 0.432913 |
| rotavirus | 0.255435 |
| report | 0.33152 |
| minority children | 0.426827 |
| NIS | 0.249392 |
| Haemophilus influenza type | 0.635868 |
| vaccine-preventable diseases | 0.915241 |
|
CLICK HERE |
| 6747 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Rwanda |
CDC's Center for Global Health works 24/7 to save lives, reduce disease, and improve health around the world. |
| CDC Rwanda staff | 0.865216 |
| building capacity | 0.415232 |
| program management | 0.3845 |
| HIV prevention | 0.492197 |
| noncommunicable diseases | 0.375147 |
| influenza programs | 0.388851 |
| laboratory accreditation | 0.383238 |
| evaluation | 0.250556 |
| AIDS Relief | 0.381227 |
| Download Overview Fact | 0.50946 |
| laboratory infrastructure | 0.377401 |
| New projects | 0.375341 |
| Emergency Plan | 0.387961 |
| TB activities | 0.500048 |
| sustainable TB program | 0.628838 |
| President’s Malaria | 0.393734 |
| health management information | 0.535354 |
| national HIV reporting | 0.619861 |
| CDC’s Division | 0.594875 |
| reference laboratory | 0.379029 |
| laboratory diagnostics | 0.377684 |
| national e-health strategy | 0.520467 |
| support | 0.252845 |
| quality management systems | 0.508762 |
| country capacity | 0.424934 |
|
| laboratory services | 0.411895 |
| CDC office | 0.59834 |
| public health workforce | 0.546961 |
| U.S. President | 0.391141 |
| cell phone | 0.362217 |
| blood safety services | 0.500255 |
| Internet technology | 0.362031 |
| epidemiology | 0.269647 |
| health information systems | 0.771298 |
| health policy | 0.390793 |
| service delivery | 0.356349 |
| laboratory workforce capacity | 0.595102 |
| surveillance | 0.255666 |
| TB/HIV | 0.251331 |
| clinical lab services | 0.50198 |
| TB treatment success | 0.625361 |
| individual facilities | 0.357301 |
| program monitoring | 0.373518 |
| Rwanda’s HIV | 0.638892 |
| active TB | 0.489245 |
| CDC Rwanda | 0.976203 |
| HIV counseling | 0.468334 |
| specific example | 0.357951 |
| testing services | 0.369353 |
|
CLICK HERE |
| 6866 |
Centers for Disease Control and Prevention |
Html |
en |
Playground Injuries: Fact Sheet |
null |
| Government Printing Office | 0.40155 |
| 14 and younger cost | 0.459696 |
| Injury Prevention | 0.270845 |
| daycare centers | 0.292968 |
| Low–Income Areas | 0.2699 |
| United States | 0.458192 |
| Technology Assessment | 0.439976 |
| Avner JR | 0.280573 |
| age group | 0.27827 |
| emergency department visits | 0.422221 |
| loose fill playground | 0.340047 |
| children ages | 0.620359 |
| home playgrounds | 0.61829 |
| high-income areas | 0.295521 |
| Tinsworth | 0.350216 |
| impact attenuation | 0.277111 |
| New York City | 0.704409 |
| rusty play equipment | 0.415149 |
| maintenance-related hazards | 0.294344 |
| Suecoff SA | 0.259118 |
| City Playground Hazards | 0.479642 |
| Phelan KJ | 0.325214 |
|
| Lanphear BP | 0.265749 |
| playground surface | 0.366204 |
| playground equipment | 0.388673 |
| playground injuries | 0.664272 |
| Kalkwarf HJ | 0.272288 |
| Sacks JJ | 0.27656 |
| Thompson D. Testing | 0.405004 |
| emergency departments | 0.295067 |
| Adolescent Medicine | 0.265037 |
| internal injuries | 0.540151 |
| U.S. Congress | 0.258048 |
| significantly more trash | 0.274906 |
| playground-related injuries | 0.987782 |
| United States children | 0.404687 |
| Mack MG | 0.269969 |
| low-income areas | 0.437627 |
| nonfatal injuries | 0.555956 |
| public playgrounds | 0.644758 |
| Ambulatory Pediatrics | 0.280269 |
| higher rates | 0.273369 |
| Chou KJ | 0.301563 |
|
CLICK HERE |
| 9387 |
Centers for Disease Control and Prevention |
Html |
es |
Ventajas de ubicar una clínica de atención primaria integrada a un centro de salud mental para veteranos de las fuerzas armadas con problemas mentales graves |
CDC - Wide Page example description goes here |
| O’Toole TP | 0.563317 |
| valores meta | 0.90932 |
| alta densidad | 0.742154 |
| Rowland E | 0.554535 |
| Friedmann PD | 0.574217 |
| primary care clinic | 0.680318 |
|
| mental health setting | 0.745585 |
| Chronic Dis | 0.561972 |
| Cohen LB | 0.561571 |
| Wu W-C | 0.556895 |
| Pirraglia PA | 0.53891 |
|
CLICK HERE |
| 9498 |
Centers for Disease Control and Prevention |
Html |
en |
Multistate Outbreak of Listeriosis Associated with Jensen Farms Cantaloupe --- United States, August--September 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. |
| Outbreak Response | 0.681111 |
| Public Health | 0.701204 |
| outbreak strains | 0.971602 |
| listeriosis outbreak | 0.84318 |
| U.S. listeriosis outbreaks | 0.767817 |
| original MMWR paper | 0.639921 |
| U.S. Government Printing | 0.634939 |
| Human Services | 0.633273 |
| outbreak PFGE pattern | 0.781596 |
| specimen collection dates | 0.639609 |
| widely differing PFGE | 0.636003 |
| Jensen Farms | 0.787111 |
| MMWR HTML versions | 0.641038 |
| U.S. Department | 0.63357 |
| Tri-County Health Department | 0.647413 |
| MMWR Early Release | 0.669871 |
| PFGE pattern combination | 0.657276 |
| Barbara E. Mahon | 0.628263 |
| pregnant women | 0.649644 |
| foodborne bacterial disease | 0.644775 |
| electronic PDF version | 0.628624 |
| immune systems | 0.648035 |
| sporadic listeriosis | 0.712506 |
|
| Zoonotic Infectious Diseases | 0.624061 |
| cut cantaloupe samples | 0.768726 |
| Listeria Initiative data | 0.652371 |
| local health departments | 0.634912 |
| long incubation period | 0.631336 |
| Kelly A. Jackson | 0.720744 |
| County Public Health | 0.646552 |
| cases | 0.621627 |
| U.S. foodborne outbreak | 0.763761 |
| website (http://www.cdc.gov/mmwr). | 0.670609 |
| PFGE pattern combinations | 0.775249 |
| cantaloupe consumption | 0.720917 |
| Listeria monocytogenes | 0.634007 |
| Katherine A. O'Connor | 0.626767 |
| CORE) Network. | 0.628391 |
| impaired immune systems | 0.642425 |
| L. monocytogenes | 0.757358 |
| Listeria Initiative* questionnaire | 0.655678 |
| national molecular subtyping | 0.642412 |
| original paper copy | 0.622687 |
| older adults | 0.643319 |
| Invasive listeriosis | 0.715085 |
| pulsed-field gel electrophoresis | 0.637864 |
|
CLICK HERE |
| 11034 |
Centers for Disease Control and Prevention |
Html |
en |
New CDC Vital Signs: Opioid Painkiller Prescribing | Digital Press Kit | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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 |
| 12198 |
Centers for Disease Control and Prevention |
Html |
en |
Determining Risk of Ebola Transmission in Healthcare andCommunity Settings | Ebola Hemorrhagic Fever | CDC |
null |
| Ebola treatment unit | 0.606053 |
| basic healthcare infrastructure | 0.572808 |
| unlinked community transmission | 0.589461 |
| regular monitoring | 0.555797 |
| public health authorities | 0.54822 |
| healthcare systems | 0.508106 |
| risk healthcare facility | 0.575989 |
| health facility closures | 0.703033 |
| critical elements | 0.495586 |
| personal protective equipment | 0.54185 |
| patients | 0.58567 |
| community | 0.697921 |
| healthcare facilities | 0.496571 |
| community transmission | 0.595545 |
| unlinked transmission settings | 0.582846 |
| risk analysis | 0.514808 |
| EVD | 0.589041 |
| reliable health care | 0.571988 |
| Ebola | 0.718808 |
| Ebola virus disease | 0.647905 |
| low risk | 0.780014 |
| Ebola epidemic | 0.655567 |
| Ebola transmission risk | 0.671193 |
| Ebola infections | 0.651573 |
| infection control | 0.784284 |
|
| common ailments | 0.579057 |
| Ebola care center | 0.604938 |
| High risk community | 0.572848 |
| public access policies | 0.538622 |
| key strategy | 0.581356 |
| public access | 0.550674 |
| low risk settings | 0.577722 |
| public health | 0.562264 |
| confirmed Ebola | 0.55779 |
| future outbreaks | 0.584001 |
| low risk community | 0.669498 |
| cases | 0.608504 |
| previously reported cases | 0.557156 |
| EVD cases | 0.497304 |
| infection control measures | 0.685537 |
| confirmed EVD | 0.56478 |
| risk community settings | 0.688512 |
| healthcare workforce | 0.574916 |
| healthcare workers | 0.968133 |
| community care center | 0.550415 |
| West Africa | 0.496547 |
| unlinked transmission | 0.619033 |
| healthcare settings | 0.572717 |
| indirect loss | 0.581383 |
|
CLICK HERE |