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Progress Toward Prevention of Transfusion-TransmittedHepatitis B and Hepatitis C Infection - Sub-Saharan Africa,2000-2011 |
Ibironke W. Apata, MD1,2, Francisco Averhoff, MD3, John Pitman, MS, MPH2, Adam Bjork, PhD2, Junping Yu4, Noryati Abu Amin, MBBCh, MD4, Neelam Dhingra, MBBS, MD4, Amy Kolwaite, MS, MPH3, Anthony Marfin, MD2 (Authors affiliations at end of text). |
| blood donors | 0.45181 |
| HCV infections | 0.357171 |
| blood products | 0.299398 |
| anti-HCV-reactive donations | 0.266555 |
| data | 0.355505 |
| sub-Saharan African countries | 0.462806 |
| transfusion-transmissible infections | 0.393021 |
| sub-Saharan Africa countries.* | 0.323211 |
| HCV marker-reactive donations | 0.761858 |
| HBV marker-reactive blood | 0.536241 |
| blood collection | 0.332284 |
| HBV | 0.88683 |
| blood transfusion services | 0.3621 |
| World Health Organization | 0.363625 |
| blood transfusions | 0.307725 |
| transfusion service programs | 0.267549 |
| nationally coordinated blood | 0.289046 |
| blood collection agencies | 0.286053 |
| countries | 0.60209 |
| chronic HBV infection | 0.523662 |
| HBsAg-reactive donations | 0.267124 |
| blood donations | 0.831514 |
| blood safety | 0.544906 |
| HCV RNA | 0.3513 |
| HCV infection | 0.964208 |
|
| safer blood supply | 0.314821 |
| improved blood safety | 0.289238 |
| reactive blood donations | 0.371963 |
| HBsAg marker-reactive donations | 0.348298 |
| marker-reactive blood donations | 0.52605 |
| transfusion-transmitted HBV | 0.372519 |
| national blood transfusion | 0.321188 |
| sub-Saharan Africa | 0.981858 |
| anti-HCV marker-reactive donations | 0.416252 |
| reporting countries | 0.290182 |
| laboratory screening | 0.314731 |
| contaminated blood products | 0.285495 |
| chronic HBV | 0.552816 |
| HCV transmission | 0.399265 |
| HCV infection prevalence | 0.508382 |
| HIV-positive donations | 0.263933 |
| transfusion service facilities | 0.286436 |
| blood transfusion service | 0.655372 |
| routine blood collection | 0.313671 |
| HCV marker-reactive blood | 0.558303 |
| active HCV infection | 0.444141 |
| risk | 0.289477 |
| HCV antibody | 0.405849 |
| blood safety programs | 0.50963 |
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Centers for Disease Control and Prevention |
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Adult Seat Belt Use in the US - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| car seat | 0.491797 |
| injuries | 0.440857 |
| good example | 0.425651 |
| Post information | 0.425889 |
| booster seat | 0.492455 |
| effective way | 0.457123 |
| air bag | 0.424678 |
| trip | 0.423104 |
| rural areas | 0.42702 |
| crash-related injury rates | 0.450586 |
| suburban areas | 0.426412 |
| Young adults | 0.428806 |
| added protection | 0.426878 |
| Support seat belt | 0.558783 |
| seat belt laws | 0.844955 |
| adult Americans | 0.4516 |
| Wear seat belts | 0.516671 |
| Air bags | 0.426484 |
| primary law | 0.448431 |
| safest spot | 0.425709 |
| primary enforcement seat | 0.700644 |
| Motor vehicle crashes | 0.510686 |
| secondary enforcement law | 0.450604 |
| company vehicles | 0.447689 |
| personal vehicles | 0.424406 |
|
| seat belts | 0.6106 |
| state troopers | 0.426023 |
| death | 0.418965 |
| primary seat belt | 0.60131 |
| adults | 0.457005 |
| company business | 0.424393 |
| car crashes | 0.431511 |
| adult drivers | 0.426895 |
| states | 0.43331 |
| active enforcement programs | 0.446151 |
| awareness campaigns | 0.425205 |
| big difference | 0.428864 |
| adult population | 0.444251 |
| police officer | 0.448751 |
| social norm | 0.42585 |
| emergency departments | 0.427811 |
| medical care | 0.424748 |
| people | 0.419334 |
| Adult seat belt | 0.590542 |
| visible police presence | 0.444959 |
| seat belt | 0.97081 |
| break rooms | 0.425317 |
| enforcement seat belt | 0.738779 |
| seat belt law | 0.609922 |
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| 6202 |
Centers for Disease Control and Prevention |
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Stay Safe In and Around Swimming Pools | CDC Features |
Splashing in a swimming pool is a sure way to have summer fun. But it's important to make safety a priority to protect children and others in and around the water. |
| CDC.gov Current Features | 0.906892 |
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| 6612 |
Centers for Disease Control and Prevention |
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Organ Systems and the Chemicals that Affect Them - Dermal Skin |
The skin that covers your body is called the dermal system. The skin is the barrier that protects the body from hazardous substances in the environment. Also, skin helps keep the body from losing electrolytes and fluids. |
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Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - February 3, 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. |
| Cumulative total E. | 0.999824 |
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Centers for Disease Control and Prevention |
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Global Health - Wallis & Futuna |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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Centers for Disease Control and Prevention |
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Hispanos o latinos - Para poblaciones específicas - Consejos de Exfumadores |
Estadísticas relacionadas con el tabaquismo, información y recursos para dejar de fumar específicos para la comunidad hispana o latina. Parte de la campaña Consejos de exfumadores que muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano |
| Archivo Apple Quicktime | 0.354073 |
| Archivo RealPlayer | 0.296607 |
| Archivo Microsoft PowerPoint | 0.365932 |
| Archivo Adobe PDF | 0.352889 |
| Estados Unidos | 0.787648 |
| Archivo Microsoft | 0.631572 |
| campaña consejos™ | 0.297409 |
| Archivo Microsoft Word | 0.364174 |
|
| principales causas | 0.319099 |
| hispanas fuma cigarrillos | 0.436768 |
| hijo aden | 0.311707 |
| hispanos fuma cigarrillos | 0.444746 |
| fuma cigarrillos | 0.91143 |
| Archivo Zip Comprimido | 0.352051 |
| Nueva York | 0.50899 |
| latina fuma cigarrillos | 0.45916 |
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Centers for Disease Control and Prevention |
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Colorectal Cancer Prevention |
Effective ways to reduce your risk of colorectal cancer. |
| coronary artery disease | 0.523408 |
| treatment | 0.411695 |
| Task Force | 0.46235 |
| U.S. Preventive Services | 0.516476 |
| role | 0.42251 |
| abnormal growths | 0.486471 |
| screening tests | 0.46675 |
| adults | 0.410723 |
| changes | 0.411531 |
| Research | 0.411561 |
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| alcohol consumption | 0.463034 |
| effective way | 0.459324 |
| vegetables | 0.4113 |
| Consumer Guide. | 0.461534 |
| colorectal cancer risk | 0.686119 |
| Medical experts | 0.466611 |
| invasive cancer | 0.486086 |
| fruits | 0.411297 |
| precancerous polyps | 0.598991 |
| underway | 0.415559 |
| diet low | 0.46507 |
|
| studies | 0.410971 |
| colorectal cancer screening | 0.778135 |
| certain medicines | 0.465013 |
| cardiovascular disease | 0.509629 |
| risk factors | 0.462165 |
| Primary Prevention | 0.461752 |
| colorectal cancer | 0.987288 |
| greater chance | 0.468392 |
| chronic diseases | 0.464761 |
| researchers | 0.410957 |
| people | 0.410958 |
| physical activity | 0.463765 |
| grains | 0.412886 |
| symptoms | 0.413064 |
| supplements | 0.410734 |
| download Aspirin | 0.470965 |
| low-dose aspirin | 0.478678 |
| regular colorectal cancer | 0.665562 |
| colon | 0.436316 |
| colorectal cancers | 0.654971 |
| rectum | 0.420538 |
| animal fats | 0.468336 |
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Centers for Disease Control and Prevention |
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Notes from the Field: Outbreak of Serogroup B MeningococcalDisease at a University - California, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| university undergraduate student | 0.539588 |
| social events | 0.416074 |
| meningococcal disease outbreak | 0.562842 |
| social network members | 0.511572 |
| undergraduate students | 0.568143 |
| Health Department staff | 0.531229 |
| Human Services | 0.457867 |
| postexposure chemoprophylaxis | 0.412043 |
| Clara University staff | 0.518814 |
| U.S. Department | 0.464388 |
| 4Microbial Diseases Laboratory | 0.465152 |
| electronic PDF version | 0.467048 |
| Santa Clara County | 0.851152 |
| County Public Health | 0.684558 |
| Additional students | 0.421025 |
| ciprofloxacin chemoprophylaxis | 0.431768 |
| meningococcal disease | 0.911503 |
| persons | 0.420271 |
| funded MenB-4C vaccine | 0.509334 |
| incident command systems | 0.462038 |
| patient B. Serogroup | 0.567004 |
| additional suspected cases | 0.518816 |
| severe disease | 0.410776 |
| California Department | 0.601478 |
|
| social organizations | 0.413769 |
| 1Epidemic Intelligence Service | 0.465637 |
| Public Health | 0.82849 |
| university student population | 0.500158 |
| original MMWR paper | 0.472427 |
| Public Health staff | 0.521017 |
| local health department | 0.527553 |
| vaccine dose | 0.496811 |
| Public Health Department | 0.697346 |
| Clara County Public | 0.687085 |
| Hope H. Biswas | 0.4696 |
| U.S. college outbreaks | 0.496996 |
| New York | 0.47063 |
| Serogroup B Neisseria | 0.468163 |
| Clara County Department | 0.523052 |
| underlying health conditions | 0.506653 |
| social networks | 0.608313 |
| staff members | 0.607768 |
| Santa Clara University | 0.607474 |
| licensed vaccine | 0.426017 |
| vaccination clinics | 0.472442 |
| MenB vaccines | 0.54481 |
| meningococcal serogroup | 0.527003 |
| graduate students | 0.413092 |
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Centers for Disease Control and Prevention |
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Electronic Cigarette Use Among Working Adults - UnitedStates, 2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| health insurance | 0.602125 |
| family-owned job | 0.529445 |
| National Health Interview | 0.49929 |
| combustible tobacco | 0.789721 |
| health insurance status | 0.488716 |
| current cigarette smokers | 0.852473 |
| Current smokeless tobacco | 0.559087 |
| public health surveillance | 0.538866 |
| dissolvable tobacco | 0.563508 |
| current cigarette smoking | 0.572323 |
| National Center | 0.504289 |
| non-cigarette combustible tobacco | 0.521629 |
| water pipes/hookahs | 0.511523 |
| current e-cigarette | 0.528199 |
| long-term health effects | 0.54294 |
| tobacco products | 0.841879 |
| food preparation | 0.555541 |
| public health practice | 0.493449 |
| food services | 0.575343 |
| food services industry | 0.56985 |
| conventional cigarette smoking | 0.533668 |
| public health policy | 0.491208 |
| adults | 0.663607 |
| conventional cigarette smokers | 0.527353 |
|
| smokeless tobacco users | 0.673621 |
| serving-related occupations | 0.514282 |
| Current e-cigarette users | 0.52186 |
| cigarette smoking prevalences | 0.519687 |
| local health departments | 0.54285 |
| workers | 0.50461 |
| public health | 0.54722 |
| smoking other tobacco | 0.508558 |
| conventional tobacco | 0.556846 |
| U.S. adults | 0.643026 |
| combustible tobacco smokers | 0.567285 |
| health | 0.669675 |
| annual household income | 0.59258 |
| cigarette smokers | 0.959471 |
| e-cigarettes | 0.523178 |
| smokeless tobacco products | 0.65475 |
| higher prevalences | 0.525953 |
| Chronic Disease Prevention | 0.518629 |
| smokeless tobacco | 0.821537 |
| relative standard error | 0.670156 |
| combustible tobacco users | 0.612209 |
| cigars/little cigars/cigarillos | 0.511564 |
| combustible tobacco products | 0.68663 |
| e-cigarette aerosol exposure | 0.485987 |
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