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Centers for Disease Control and Prevention |
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National Latino AIDS Awareness Day | CDC Features |
October 15 is National Latino AIDS Awareness Day, a day to raise awareness about HIV and AIDS prevention among Hispanics/Latinos living in the United States and its territories. |
| prevention options | 0.396544 |
| pre-exposure prophylaxis | 0.389864 |
| male condom | 0.387689 |
| health care provider | 0.445465 |
| lifesaving information | 0.385536 |
| right way | 0.521984 |
| HIV prevention | 0.616634 |
| gender-neutral alternative | 0.382286 |
| viral load | 0.374041 |
| undetectable levels | 0.376593 |
| post-exposure prophylaxis | 0.394999 |
| sexual assault | 0.379383 |
| effective prevention | 0.389011 |
| community-based organizations | 0.378512 |
| HIV Risk Reduction | 0.71297 |
| Latinx AIDS Awareness | 0.618245 |
| National Latinx AIDS | 0.618294 |
| Additional resources | 0.378556 |
| Defeat HIV | 0.688368 |
| term Latinx | 0.377521 |
| Health departments | 0.376513 |
| treatment strategies | 0.388969 |
| best ways | 0.375509 |
| Latino Commission | 0.395839 |
| Hispanic/Latino communities | 0.510641 |
|
| United States | 0.390078 |
| HIV Treatment Works | 0.684128 |
| prevention campaign | 0.386731 |
| sexual behaviors | 0.3868 |
| good news | 0.395595 |
| powerful treatment | 0.393013 |
| HIV diagnoses | 0.822308 |
| Hispanic women/Latinas | 0.39407 |
| CDC Act | 0.388873 |
| higher risk | 0.385027 |
| total population | 0.3865 |
| HIV-negative sexual partners | 0.446268 |
| sexual transmission | 0.375552 |
| testing site | 0.388406 |
| ZIP code | 0.381267 |
| sexual partners | 0.447247 |
| bisexual men | 0.392607 |
| female condom | 0.387631 |
| HIV | 0.964073 |
| AIDS Campaign | 0.382515 |
| testing services | 0.382797 |
| HIV infection | 0.618489 |
| HIV medication | 0.608629 |
| national HIV testing | 0.72587 |
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| 6222 |
Centers for Disease Control and Prevention |
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National survey shows HPV vaccine rates trail other teen vaccines - Press Release: August 25, 2011 |
Latest State Data Show Rates of Obesity Remain High |
| vaccines —Tdap | 0.357095 |
| Mortality Weekly Report | 0.314699 |
| annual health checkup | 0.285964 |
| routine teen vaccines | 0.437375 |
| Tdap vaccine | 0.338276 |
| CDC’s National | 0.211813 |
| health care provider | 0.464367 |
| random telephone survey | 0.273223 |
| CDC NIS-Teen survey | 0.335515 |
| teens | 0.250914 |
| girls | 0.207539 |
| HPV vaccine | 0.99415 |
| adolescent vaccines | 0.291447 |
| HPV results | 0.432649 |
|
| U.S. teens | 0.201688 |
| vaccination rates | 0.329063 |
| health care providers | 0.277806 |
| National Immunization Survey-Teen | 0.586495 |
| preteens | 0.205206 |
| childhood vaccines | 0.288105 |
| cervical cancers | 0.20855 |
| cervical cancer | 0.692227 |
| HPV infection | 0.464009 |
| HPV series | 0.399408 |
| HPV vaccines | 0.573777 |
| local health care | 0.269539 |
| CDC’s Morbidity | 0.221072 |
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| 7259 |
Centers for Disease Control and Prevention |
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The Role of Public Health Informatics in Enhancing PublicHealth Surveillance |
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. |
| data | 0.532097 |
| public health interventions | 0.484025 |
| syndromic surveillance systems | 0.460832 |
| Public Health Data | 0.493869 |
| public health problems | 0.494821 |
| Joint Public Health | 0.474809 |
| public health surveillance | 0.780127 |
| public health systems | 0.504043 |
| public health decisions | 0.490826 |
| century public health | 0.502579 |
| health surveillance challenges | 0.48216 |
| health information exchange | 0.472176 |
| public health practice | 0.493033 |
| Health Informatics Institute | 0.468491 |
| health surveillance systems | 0.518439 |
| Public Health Information | 0.490679 |
| clinical information systems | 0.457996 |
| public health agencies | 0.567735 |
| health informatics expertise. | 0.473053 |
| electronic health record | 0.490548 |
| public health surveillance. | 0.498203 |
| health surveillance information | 0.498031 |
| health surveillance tools | 0.484178 |
| health information technology | 0.529241 |
| public health life | 0.475 |
|
| health informatics designs | 0.476839 |
| public health community | 0.532593 |
| public health informatics | 0.702993 |
| public health associations | 0.475062 |
| 21st century | 0.455688 |
| health record technology | 0.461788 |
| public health outcomes | 0.475307 |
| syndromic surveillance data | 0.485642 |
| public health professionals | 0.475259 |
| information systems | 0.502067 |
| different information systems | 0.457372 |
| surveillance informatics | 0.457636 |
| public health | 0.937449 |
| health care | 0.460852 |
| public health perspective | 0.476308 |
| public health goal | 0.492452 |
| Public health leaders | 0.480753 |
| public health nursing | 0.486526 |
| public health programs | 0.485098 |
| public health workers | 0.478024 |
| term health information | 0.48387 |
| data collection | 0.477456 |
| informatics-augmented public health | 0.479703 |
| public health requirements | 0.479867 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease - CDC: Volume 10, 2013:12_0276 |
Volumen 10 — el 28 de marzo de 2013. |
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| 9164 |
Centers for Disease Control and Prevention |
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Firearm Homicides and Suicides in Major Metropolitan Areas -United States, 2006-2007 and 2009-2010 |
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. |
| firearm suicide rates | 0.783148 |
| firearm-related violence | 0.319526 |
| metropolitan statistical areas | 0.305441 |
| national unemployment rates | 0.27274 |
| national trend | 0.262976 |
| all-ages rate | 0.290118 |
| firearm homicide statistics | 0.403318 |
| firearm homicide | 0.914536 |
| NVSS mortality data | 0.25959 |
| National Center | 0.258062 |
| firearm injury | 0.340963 |
| major metropolitan areas | 0.26455 |
| mortality data | 0.261219 |
| firearm suicide rate | 0.425339 |
| reporting periods | 0.270467 |
| National Vital Statistics | 0.268818 |
| large MSAs | 0.422091 |
| persons | 0.368971 |
| firearm homicide rate | 0.602707 |
| large metropolitan areas | 0.334911 |
| firearm suicides | 0.513516 |
| national rate | 0.38209 |
| United States | 0.377628 |
| Scott R. Kegler | 0.310643 |
| age group | 0.327346 |
|
| firearm homicide rates | 0.668309 |
| MSA rate | 0.34107 |
| firearm homicide victims | 0.446547 |
| largest MSAs | 0.337791 |
| U.S. Census Bureau | 0.312724 |
| all-ages rates | 0.323892 |
| early prevention efforts | 0.257369 |
| public health concern | 0.261 |
| MSAs | 0.497823 |
| national firearm homicide | 0.400667 |
| U.S. residents | 0.260707 |
| firearm homicides | 0.401834 |
| national decrease | 0.264345 |
| population estimates | 0.256821 |
| firearm fatality statistics | 0.348747 |
| cause codes | 0.255687 |
| Practice Integration | 0.257775 |
| All-ages firearm suicide | 0.38803 |
| higher firearm homicide | 0.388813 |
| higher firearm suicide | 0.366639 |
| firearm assault | 0.324733 |
| suicide counts | 0.26841 |
| annual firearm homicide | 0.406448 |
| earlier reporting period | 0.260038 |
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| 10211 |
Centers for Disease Control and Prevention |
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Preventing Tetanus'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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Centers for Disease Control and Prevention |
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Conference Call January 28, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| financial interests | 0.443444 |
| veterinary profession | 0.432406 |
| Universal Activity Number | 0.563601 |
| National Commission | 0.446323 |
| ANSI/IACET CEU | 0.462438 |
| AAVSB RACE approval | 0.5581 |
| planners | 0.343745 |
| commercial supporters | 0.437657 |
| Accreditation Council | 0.600687 |
| physicians | 0.352549 |
| Disease Control | 0.987479 |
| live activity | 0.460268 |
| commercial services | 0.443506 |
| ongoing malaria transmission | 0.789829 |
| malaria prevention strategies | 0.785032 |
| total Category | 0.439092 |
| American Nurses | 0.447565 |
| education contact | 0.66959 |
| Master Certified Health | 0.571474 |
| commercial products | 0.443653 |
| Authorized Provider | 0.455596 |
| malaria infections | 0.658666 |
| Old Meadow Road | 0.574297 |
| education requirements | 0.491977 |
|
| suspect malaria | 0.63897 |
| Centers | 0.446385 |
| regions | 0.351993 |
| AMA PRA Category | 0.584745 |
| United States | 0.473861 |
| aavsb race program | 0.732522 |
| International Association | 0.451266 |
| Certified Health Education | 0.766872 |
| CHES | 0.334246 |
| CECH | 0.343877 |
| Health Education Specialists | 0.76678 |
| CDC provider number | 0.617454 |
| environmental conditions | 0.470686 |
| Health Education Credentialing | 0.635475 |
| level continuing education | 0.642869 |
| Continuing Nursing Education | 0.661962 |
| Continuing Medical Education | 0.669356 |
| increase | 0.346118 |
| malaria cases | 0.796178 |
| IACET CEU | 0.465113 |
| pharmacy education | 0.632126 |
| treatment options | 0.45996 |
| maximum | 0.352802 |
| confirmed malaria cases | 0.768941 |
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| 11893 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Trends in the Prevalence ofMultiple Chronic Conditions in Taiwan From 2000 to 2010: APopulation-Based Study - CDC |
Chronic conditions are the leading causes of death and disability worldwide. Providing care to people diagnosed with a chronic disease is challenging, and controlling multiple chronic conditions (MCCs) can be overwhelming, particularly in rapidly aging societies. The objective of this study was to examine the prevalence of MCCs from 2000 to 2010 in Taiwan. |
| MCCs | 0.991257 |
| well-defined monthly wage | 0.43933 |
| highest prevalence | 0.45399 |
| local office beneficiaries | 0.411101 |
| National Yang Ming | 0.447548 |
| multiple chronic conditions | 0.502648 |
| prevalence rates | 0.435491 |
| Clinical Classifications Software | 0.407694 |
| chronic condition increases | 0.383656 |
| chronic condition | 0.559464 |
| health care services | 0.406621 |
| sex-specific prevalence | 0.442922 |
| well-defined monthly wages | 0.438965 |
| study period | 0.442072 |
| nonfatal chronic conditions | 0.399158 |
| age groups | 0.576145 |
| prevalent chronic conditions | 0.414641 |
| relative increase | 0.434562 |
| chronic disease | 0.400252 |
| Taiwan | 0.412074 |
| National Health Insurance | 0.50708 |
| older people | 0.412002 |
| chronic conditions increases | 0.415012 |
| study | 0.468249 |
| Introduction
Chronic conditions | 0.423671 |
|
| Taiwan National Health | 0.387475 |
| Public Health | 0.381517 |
| overall prevalence | 0.443248 |
| overall MCC prevalence | 0.455511 |
| age group | 0.396683 |
| Health Insurance Research | 0.415829 |
| general population | 0.447948 |
| actual prevalence | 0.424364 |
| prevalence estimates | 0.441415 |
| prevalence | 0.784861 |
| ascertain cross-sectional prevalence | 0.459501 |
| health care | 0.601025 |
| health care systems | 0.457192 |
| older population | 0.387889 |
| disease | 0.435454 |
| people | 0.501204 |
| Taiwanese new dollar | 0.394312 |
| chronic conditions | 0.807292 |
| Chronic Condition Indicator | 0.441576 |
| Insurance Research Database | 0.406565 |
| define MCCs | 0.512342 |
| single chronic conditions | 0.400358 |
| Yang Ming University | 0.451443 |
| MCCs increases | 0.522233 |
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| 12391 |
Centers for Disease Control and Prevention |
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Were You Recently in the American Tropics? (300W x 170H) |
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Centers for Disease Control and Prevention |
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Notes from the Field: Photokeratoconjunctivitis OutbreakAssociated with Damaged Metal Halide Lamps - Maharashtra State,Western India, June 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Field Epidemiology Training | 0.402693 |
| FETP trainees | 0.355195 |
| event organizers | 0.393415 |
| symptom onset | 0.352385 |
| Human Services | 0.379375 |
| chi-square test | 0.351085 |
| temporary mass gatherings | 0.380684 |
| Aurangabad district | 0.413679 |
| U.S. Department | 0.379415 |
| Attack rates | 0.500919 |
| electronic PDF version | 0.383038 |
| speakers | 0.356295 |
| Zalta village | 0.4167 |
| 4District Health Office | 0.386512 |
| red eyes | 0.352833 |
| temporary covered area | 0.389694 |
| patients | 0.356054 |
| Pimpriraja Primary Health | 0.40863 |
| damaged lamps | 0.400758 |
| metal halide lights | 0.517926 |
| 3District Health Office | 0.386598 |
| eye-related signs | 0.35879 |
| following eye-related symptoms | 0.409291 |
| persons | 0.407349 |
| outer glass envelope | 0.390289 |
|
| broken metal halide | 0.496025 |
| halide lights indoors | 0.435927 |
| District Surveillance Office | 0.379701 |
| various groups | 0.349761 |
| outer envelope | 0.390923 |
| high poles | 0.349569 |
| Figure). | 0.352217 |
| western India | 0.362994 |
| original MMWR paper | 0.384746 |
| 2Field Epidemiology Training | 0.382467 |
| Maharashtra State | 0.360805 |
| Epidemiology Training Program | 0.480344 |
| outer envelope emit | 0.390048 |
| platform | 0.367909 |
| foreign body sensation | 0.395378 |
| intense white light | 0.384463 |
| Disease Surveillance Program | 0.400389 |
| metal halide lamps | 0.963983 |
| outer envelopes | 0.349536 |
| eye symptoms | 0.360265 |
| rows | 0.351753 |
| event attendee | 0.363596 |
| political event | 0.356511 |
| metal halide gases | 0.448151 |
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