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February is American Heart Month - 2013 | CDC Features |
Heart disease is the leading cause of death for both men and women, but heart disease is preventable and controllable. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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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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Health Disparities in Cancer |
Disparities affect many groups of people, including racial and ethnic minorities, residents of rural areas, women, children and adolescents, the elderly, people with disabilities, and the uninsured. |
| average risk | 0.472744 |
| tobacco-related cancers | 0.481427 |
| Ashkenazi Jewish heritage | 0.530207 |
| personal health history | 0.53261 |
| Health Equity | 0.4878 |
| high-quality treatment | 0.473929 |
| lung cancer | 0.645401 |
| Minority Health | 0.488932 |
| aggressive cancers | 0.487466 |
| new cancer cases | 0.586535 |
| health disparities | 0.613799 |
| U.S. Cigarette smoking | 0.514591 |
| CDC’s Office | 0.476747 |
| ethnic groups | 0.526632 |
| secondhand smoke | 0.511126 |
| rural areas | 0.479623 |
| colorectal cancer | 0.709569 |
| overall health | 0.487831 |
| prostate specific antigen | 0.542262 |
| cancer diagnosis | 0.525131 |
| cervical cancer | 0.60977 |
| life expectancy | 0.477374 |
| better follow-up care | 0.527464 |
| BRCA gene mutation | 0.523123 |
| white women | 0.540097 |
|
| human papillomavirus | 0.470765 |
| United States | 0.539438 |
| African American men | 0.518094 |
| healthy lifestyle choices | 0.533792 |
| Prostate cancers | 0.50746 |
| Colorectal cancers | 0.511687 |
| African American women | 0.733771 |
| liver cancer cases | 0.652384 |
| higher risk | 0.475373 |
| person’s risk | 0.52968 |
| n’t work | 0.4705 |
| New liver cancer | 0.560683 |
| breast cancer | 0.653571 |
| Breast cancer deaths | 0.586605 |
| poorer housing | 0.475302 |
| highest rates | 0.661609 |
| people | 0.498888 |
| risk factor | 0.470557 |
| cancer screening tests | 0.598182 |
| lung cancer risk | 0.567934 |
| various races | 0.477906 |
| prostate cancer | 0.654209 |
| highest death rate | 0.532536 |
| cancer | 0.903751 |
|
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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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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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Centers for Disease Control and Prevention |
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NIOSH Program Portfolio : Mining : Economics |
The mission of the NIOSH research program for the Mining sector is to eliminate occupational diseases, injuries, and fatalities among workers in the mining industries. |
| Older miners | 0.741316 |
| North American Rig | 0.758946 |
| U.S. Department | 0.92917 |
| cleaner coal-burning technology | 0.778996 |
| Coal accounts | 0.742541 |
| major oil companies | 0.792153 |
| large domestic oil | 0.782788 |
| stone mines | 0.75667 |
| underground mining | 0.738612 |
| private nonfarm payrolls | 0.786368 |
| major coal companies | 0.8317 |
| eastern mines | 0.767093 |
| western surface mines | 0.851126 |
| gas production | 0.729621 |
| extractive industries | 0.820135 |
| San Juan College | 0.760424 |
| experienced mining engineers | 0.797013 |
| gas extraction industry | 0.776991 |
| Central Appalachian coalfields | 0.972345 |
| radical new developments | 0.786236 |
| new underground mines | 0.869584 |
| older workers | 0.799412 |
| underground mines | 0.905021 |
| Official energy statistics | 0.771019 |
| Labor Statistics. | 0.755638 |
|
| metal mines | 0.764667 |
| western United States | 0.768855 |
| safer longwall technology | 0.785525 |
| Coal miners | 0.778292 |
| United States | 0.900145 |
| gas training facilities | 0.784301 |
| major new investments | 0.792914 |
| poor sleep patterns | 0.760947 |
| better coal reserves | 0.814009 |
| recent decades | 0.787842 |
| coal production | 0.753802 |
| Plains Technology Center | 0.767481 |
| Career guide | 0.75526 |
| Current high levels | 0.765858 |
| Clean Air Act | 0.943787 |
| metal mining | 0.860058 |
| previous underground experience | 0.780646 |
| entire new generation | 0.805938 |
| new power plants | 0.788738 |
| gas industries | 0.742353 |
| Annual coal report | 0.802789 |
| mining technology | 0.731461 |
| difficult geologic conditions | 0.770733 |
| typical nonsupervisory worker | 0.775897 |
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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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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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