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Routine HIV Screening in Two Health-Care Settings - New YorkCity and New Orleans, 2011-2013 |
Xia Lin, PhD1,2, Patricia M. Dietz, DrPH2, Vanessa Rodriguez3, Deborah Lester3, Paloma Hernandez, MPH3, Lisa Moreno-Walton, MD4, Grant Johnson, MPH4, Michelle M. Van Handel, MPH2, Jacek Skarbinski, MD2, Christine L. |
| routine screening | 0.313732 |
| previously diagnosed HIV | 0.524898 |
| HIV information | 0.420132 |
| local HIV care | 0.458378 |
| acute HIV infections | 0.455988 |
| different HIV prevalence | 0.421555 |
| laboratory HIV tests | 0.459059 |
| New York City | 0.334794 |
| HIV infections | 0.489661 |
| best HIV testing | 0.462811 |
| undiagnosed HIV infection | 0.552082 |
| novel HIV | 0.442774 |
| acute HIV infection | 0.752144 |
| new HIV diagnosis | 0.449899 |
| UHP | 0.361053 |
| test result | 0.339005 |
| test results | 0.358553 |
| routine HIV testing | 0.483083 |
| coordinator contacts patients | 0.293893 |
| patients | 0.505074 |
| new screening programs | 0.302997 |
| HIV medical care | 0.738314 |
| UHP commercial laboratory | 0.315632 |
| conventional laboratory testing | 0.32366 |
| HIV antibody | 0.416367 |
|
| routine hiv screening | 0.831513 |
| routine screening program | 0.301254 |
| scalable routine HIV | 0.440461 |
| HIV laboratory test | 0.472582 |
| opt-in HIV screening | 0.468321 |
| HIV surveillance | 0.409278 |
| newly diagnosed HIV | 0.517539 |
| health-care settings | 0.306803 |
| HIV transmission | 0.413592 |
| HIV screening program | 0.508052 |
| HIV antigen/antibody combination | 0.44092 |
| New York | 0.357874 |
| federally qualified health | 0.324342 |
| monthly average number | 0.320754 |
| HIV screening programs | 0.584964 |
| primary HIV | 0.417394 |
| HIV test | 0.52719 |
| HIV test offer | 0.460438 |
| new screening strategy | 0.287428 |
| HIV | 0.986001 |
| HIV viral load | 0.439471 |
| HIV testing | 0.524628 |
| routine screening period | 0.304021 |
| HIV infection | 0.98387 |
|
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Centers for Disease Control and Prevention |
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Pertussis Signs and Symptoms |
Signs and Symptoms of Pertussis |
| rapid coughing | 0.351279 |
| Early symptoms | 0.293923 |
| Ciofi ML | 0.280269 |
| pertussis | 0.913108 |
| comparative effectiveness trial | 0.332513 |
| McNamara LA | 0.279268 |
| mild cough | 0.360093 |
| Clin Infect Dis | 0.372663 |
| Signos y sÃntomas | 0.296543 |
| Tozzi AE | 0.28159 |
| illness severity | 0.281106 |
| unvaccinated adolescents | 0.274906 |
| vaccinated children | 0.291811 |
| coughing fit | 0.355985 |
| Reduced severity | 0.282048 |
| acellular pertussis vaccine | 0.608599 |
| Low-grade fever | 0.292671 |
| component DTP vaccine | 0.354378 |
| fits | 0.29337 |
| respiratory infections | 0.280805 |
| Clin Infect Dis. | 0.501033 |
| pertussis infections | 0.593399 |
| pertussis vaccine | 0.610444 |
| Cherry JD | 0.352984 |
|
| common cold | 0.284387 |
| cold-like symptoms | 0.298036 |
| United States | 0.277784 |
| DT vaccine | 0.294637 |
| early stages | 0.280713 |
| extreme coughing | 0.359015 |
| babies | 0.329434 |
| occasional cough | 0.3484 |
| Runny nose | 0.294388 |
| pertussis symptoms | 0.602805 |
| severe symptoms | 0.287248 |
| age-appropriate pertussis vaccination | 0.585624 |
| rapid coughs | 0.287247 |
| Barlow RS | 0.276997 |
| healthcare professionals | 0.28537 |
| Cieslak PR | 0.280744 |
| disease | 0.2912 |
| Bordetella pertussis infections | 0.586672 |
| pertussis complications | 0.566975 |
| breathing pattern | 0.289704 |
| Lederle/Takeda acellular pertussis | 0.582921 |
| Clinical presentation | 0.27831 |
| et al | 0.555667 |
| Ward JI | 0.276471 |
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Centers for Disease Control and Prevention |
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Winnable Battles - Focus Areas |
CDC's Winnable Battles were chosen based on the scope of the health burden and our ability to make significant progress in improving outcomes. |
| measurable impact | 0.801221 |
| CDC Director | 0.57966 |
| death | 0.343065 |
| disability | 0.342991 |
| CDC leaders | 0.577869 |
| public health priorities | 0.710558 |
| effort | 0.350846 |
| burden | 0.356686 |
| public health challenges | 0.7414 |
| partnerships | 0.34776 |
| optimal strategies | 0.523404 |
| outcomes | 0.349398 |
|
| scope | 0.345318 |
| causes | 0.343139 |
| effective strategies | 0.514679 |
| term | 0.339336 |
| ability | 0.338773 |
| significant progress | 0.514528 |
| winnable battles | 0.987799 |
| charge | 0.346809 |
| priority areas | 0.522283 |
| pace | 0.360037 |
| resources | 0.33732 |
| large-scale impact | 0.526696 |
|
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Centers for Disease Control and Prevention |
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Information for People With Chronic Conditions and Disabilities|Natural Disasters and Severe Weather |
Information on disasters. Provided by the Centers for Disease Control and Prevention (CDC). |
| Microsoft PowerPoint file | 0.724862 |
| Carbon Monoxide Poisoning | 0.848457 |
| Vibrio vulnificus Wound | 0.717101 |
| Water Safe | 0.734294 |
| Infection Control | 0.738804 |
| Winter Weather Checklists | 0.732872 |
| Evacuation Center Play | 0.739595 |
| Microsoft Word file | 0.728181 |
| Hot Weather Tips | 0.731444 |
| Control Infection Control | 0.727176 |
| Natural Disasters | 0.766783 |
| Disaster Technical Considerations | 0.749751 |
| Lightning Safety Tips | 0.748324 |
| Disaster Location | 0.717588 |
| Microsoft Excel file | 0.723926 |
| page options Skip | 0.740232 |
| Safety Food Safety | 0.798077 |
| different file formats | 0.726178 |
| Public Evacuation Centers | 0.75366 |
| Disaster Resources Educational | 0.784399 |
| Apple Quicktime file | 0.720322 |
| Missouri Cooling Centers | 0.726145 |
| Cold Weather Hypothermia | 0.719189 |
| Wildfires PSAs | 0.71681 |
|
| Building Water Systems | 0.732407 |
| Adobe PDF file | 0.721737 |
| Pressure Washer Safety | 0.735897 |
| Evacuation Centers | 0.902478 |
| Storm Indoor Safety | 0.750819 |
| Tsunamis Health Effects | 0.727638 |
| Winter Weather | 0.740642 |
| Search Form Controls | 0.836516 |
| Pesticide Safety Guidance | 0.736535 |
| Disaster Evacuation Centers | 0.815847 |
| Emergency Health Professionals | 0.748111 |
| Disaster Immunization Immunization | 0.773587 |
| Extreme Heat PSAs | 0.77068 |
| Outdoor Safety | 0.747063 |
| Extreme Heat | 0.775758 |
| Workers Health Care | 0.751906 |
| Search Controls | 0.736329 |
| Tsunami Worker Safety | 0.744429 |
| Disaster Information | 0.737831 |
| Educational Materials | 0.795868 |
| Community Evacuation Centers | 0.754672 |
| Worker Safety | 0.824362 |
| Severe Weather | 0.769551 |
| High Blood Pressure | 0.763115 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0301 |
CDC - Wide Page example description goes here |
| factores inductores | 0.702408 |
| salud pública | 0.915191 |
| siglo xix | 0.720943 |
|
| microbios patógenos | 0.732789 |
| resultantes reducciones | 0.707917 |
|
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| 12574 |
Centers for Disease Control and Prevention |
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February 2014 ACIP Meeting -- Human Papillomavirus (HPV) Vaccine |
Introduction, HPV type attribution in high grade cervical lesions in the United States, Population-Based HPV Genotype Attribution in HPV-Associated Cancers, United States, 9-valent HPV (9vHPV) Vaccine Program Key Results, and Summary and Future ACIP HPV Vaccine Workgroup Plans.
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://streaming.cdc.gov/vod.php?id=336c94113b144920b256b8ae9cd4a1d220140410092058029 |
| ACIP Meeting | 0.933869 |
| Vaccine | 0.4669 |
|
| Human Papillomavirus | 0.839868 |
| YouTube | 0.478533 |
|
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Centers for Disease Control and Prevention |
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Datos basicos sobre la tuberculosis |
Centers for Disease Control and Prevention, Division of Tuberculosis Elimination |
| llamada mycobacterium tuberculosis | 0.722037 |
| Archivo Apple Quicktime | 0.588878 |
| Archivo RealPlayer | 0.511647 |
| Archivo Zip Comprimido | 0.596804 |
|
| Archivo Microsoft PowerPoint | 0.624972 |
| Archivo Adobe PDF | 0.595649 |
| Archivo Microsoft Excel | 0.594809 |
| Archivo Microsoft | 0.928186 |
|
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| malaria patients | 0.598247 |
| muscle pains | 0.498884 |
| public health authorities | 0.501014 |
| photo-induced electron transfer | 0.479915 |
| mosquito-borne parasitic infection | 0.497177 |
| acute febrile illnesses | 0.494114 |
| general malaise | 0.501997 |
| malaria infection | 0.585435 |
| hospital parasitology laboratory | 0.494636 |
| local malaria transmission | 0.645387 |
| health care providers | 0.573756 |
| smear microscopy | 0.488994 |
| effective patient care | 0.482893 |
| total patient samples | 0.485528 |
| school trip participants | 0.56533 |
| school group | 0.51927 |
| National Malaria Surveillance | 0.639397 |
| endemic malaria | 0.621382 |
| private health institutions | 0.496665 |
| falciparum malaria | 0.642945 |
| malaria parasites | 0.619952 |
| Puerto Rico school | 0.548895 |
| Public Health Laboratory | 0.502298 |
| Puerto Rico | 0.902438 |
| additional patient specimens | 0.484066 |
|
| 3Cook County Department | 0.482606 |
| original MMWR paper | 0.479906 |
| health alert notice | 0.499331 |
| malaria | 0.82742 |
| Punta Cana | 0.501289 |
| Puerto Rico Department | 0.618379 |
| 2Puerto Rico Department | 0.51235 |
| malaria symptoms | 0.586264 |
| fluorogenic real-time polymerase | 0.483872 |
| public health | 0.58323 |
| P. falciparum malaria | 0.632366 |
| dengue virus infection | 0.491569 |
| school trip participant | 0.493541 |
| Grupo HIMA San | 0.477529 |
| patient travel histories | 0.48038 |
| Public Health Preparedness | 0.499558 |
| malaria cases | 0.77148 |
| Health regional epidemiologists | 0.497626 |
| previous malaria cases | 0.64618 |
| school-organized graduation trip | 0.497729 |
| Dominican Republic | 0.680712 |
| Plasmodium falciparum malaria | 0.638006 |
| molecular diagnostic tests | 0.49345 |
| public health counterparts | 0.510199 |
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Asthma Among Employed Adults, by Industry and Occupation -21 States, 2013 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| work-exacerbated asthma | 0.339158 |
| occupation | 0.327138 |
| occupational asthma | 0.300568 |
| optional asthma modules | 0.349509 |
| current asthma prevalence | 0.572422 |
| in-depth asthma survey | 0.374639 |
| industry | 0.294748 |
| occupation module | 0.258004 |
| exacerbated asthma | 0.301122 |
| work-related asthma | 0.741055 |
| work-related asthma prevalence | 0.443731 |
| high current asthma | 0.339291 |
| asthma address prevention | 0.316101 |
| states | 0.246891 |
| social assistance industry | 0.237867 |
| adult asthma | 0.297438 |
| work-related asthma exposures | 0.371657 |
|
| highest current asthma | 0.380042 |
| current asthma | 0.926015 |
| health care | 0.444632 |
| workplace exposures | 0.274157 |
| work-related asthma diagnosis | 0.417386 |
| asthma exacerbations | 0.299906 |
| work-related asthma prevention | 0.397381 |
| powdered latex gloves | 0.212072 |
| Asthma Call-back Survey | 0.444472 |
| new-onset asthma | 0.337281 |
| state-level asthma prevalence | 0.338344 |
| work-related asthma intervention | 0.415312 |
| care support occupations | 0.306833 |
| occupation information | 0.224094 |
| asthma symptoms | 0.289264 |
| state-specific work-related asthma | 0.433274 |
| health care support | 0.282908 |
|
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Outbreak of Salmonella Oslo Infections Linked to PersianCucumbers - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Salmonella | 0.657503 |
| Salmonella contamination | 0.435136 |
| Human Services | 0.401454 |
| cucumber samples | 0.378245 |
| serotype Oslo infections | 0.45755 |
| Safety Modernization Act | 0.424669 |
| Administration Coordinated Outbreak | 0.380315 |
| outbreak | 0.513165 |
| Zoonotic Infectious Diseases | 0.378475 |
| Persian cucumbers | 0.808084 |
| ill persons | 0.579855 |
| Modernization Act requirements | 0.424657 |
| PFGE pattern | 0.492382 |
| patients | 0.361896 |
| reported clinical cases | 0.364897 |
| grocery stores | 0.377259 |
| cucumber-associated Salmonella outbreaks | 0.482247 |
| raw cucumbers | 0.515605 |
| common bacterial cause | 0.423742 |
| supplemental questionnaire | 0.386646 |
| illness onset | 0.493353 |
| contaminated cucumbers | 0.528016 |
| seedless cucumbers | 0.544032 |
| Canadian-grown cucumbers | 0.535197 |
| domestic cucumbers | 0.564396 |
|
| Outbreak Response | 0.363059 |
| consuming cucumbers | 0.543924 |
| epidemiologic evidence | 0.399751 |
| Drug Administration | 0.456142 |
| XbaI PFGE pattern | 0.441969 |
| enterica serotype Oslo | 0.462251 |
| Salmonella infections | 0.410571 |
| Persian cucumber products | 0.453802 |
| informational traceback | 0.450135 |
| public health | 0.473288 |
| short shelf life | 0.403105 |
| outbreak strain | 0.39791 |
| recent multistate outbreaks | 0.379098 |
| Salmonella Oslo cases | 0.45185 |
| FoodNet Population Survey | 0.525177 |
| Food Safety Modernization | 0.427245 |
| Salmonella enterica serotype | 0.575908 |
| National Outbreak Reporting | 0.433 |
| Salmonella Oslo infections | 0.624101 |
| U.S. outbreak pattern | 0.40003 |
| cucumbers | 0.951642 |
| foodborne disease | 0.40799 |
| Salmonella outbreaks | 0.491351 |
| recommendations.** Cucumbers | 0.509575 |
|
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