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Centers for Disease Control and Prevention |
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Current Cigarette Smoking Among Adults-United States, 2005-2012 |
CDC's Office on Smoking and Health offers information related to smoking and tobacco use. |
| non-Hispanic white adults | 0.472869 |
| income | 0.33885 |
| email updates | 0.391857 |
| Native adults | 0.375795 |
| adults | 0.733874 |
| non-Hispanic American Indian/Alaska | 0.482402 |
| email address | 0.39158 |
| South | 0.318062 |
| non-Hispanic black adults | 0.471225 |
| non-Hispanic Asian adults | 0.466341 |
|
| poverty line | 0.459128 |
| graduate degree | 0.373402 |
| Tobacco | 0.320154 |
| Midwest | 0.318254 |
| percentage | 0.930866 |
| Hispanic adults | 0.379289 |
| high school diploma | 0.576361 |
| high school equivalency | 0.438618 |
| undergraduate college degree | 0.43807 |
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| 6224 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, August 29, 2011 |
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| indoor air quality | 0.871572 |
| recirculation aerosol wind | 0.856524 |
| road traffic noise | 0.858647 |
| Public Health Nutr. | 0.88003 |
| Neighborhood fast food | 0.858236 |
| Aug | 0.960824 |
| PLoS One. | 0.893292 |
| hyperbaric oxygen treatment | 0.858465 |
| Public Health. | 0.895185 |
| CDC Science Clips | 0.957106 |
| global pooled analysis | 0.863915 |
| driving-point biodynamic response | 0.857997 |
| risk factors | 0.865242 |
| Chief Science Officer | 0.872149 |
| human clinical specimens | 0.862101 |
| Public policy | 0.861621 |
| Celentano DD | 0.87023 |
| home-based antiretroviral therapy | 0.861436 |
| Raczynski JM | 0.876804 |
| inactivated influenza vaccine | 0.859608 |
| emergency obstetric care | 0.859288 |
| young black men | 0.871903 |
| Soc Sci Med. | 0.865331 |
| Environ Geochem Health. | 0.882591 |
| BMC Public Health. | 0.876909 |
|
| Stephen B. Thacker | 0.924788 |
| fast food restaurants | 0.894241 |
| human rotavirus strain | 0.862642 |
| United States | 0.867524 |
| Occup Environ Med. | 0.973864 |
| Mycobacterium shinjukuense sp. | 0.860353 |
| Acquir Immune Defic | 0.920639 |
| public health | 0.891502 |
| Immune Defic Syndr. | 0.920633 |
| secondhand smoke exposure | 0.860321 |
| Daley MF | 0.865857 |
| Syst Evol Microbiol. | 0.861419 |
| public health literature | 0.877591 |
| south eastern Tanzania | 0.859488 |
| Blount BC | 0.863642 |
| B. Thacker CDC | 0.94618 |
| Vaccine Safety Datalink | 0.861835 |
| HIV risk factors | 0.864842 |
| Environ Occup Health. | 0.897155 |
| national physician survey | 0.861383 |
| et al | 0.877939 |
| carbon monoxide poisoning | 0.858588 |
| fast food consumption | 0.858347 |
| dhps allelic haplotypes | 0.862533 |
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| 6644 |
Centers for Disease Control and Prevention |
Html |
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Toxicological and Public Health Professionals Home Page |
Toxicological and Public Health Professionals |
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| 6757 |
Centers for Disease Control and Prevention |
Html |
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Global Health - South Africa - CDC's HIV Prevention Programs: Biomedical Prevention |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| tide | 0.333482 |
| South African Government | 0.923719 |
| country | 0.36178 |
| new HIV infections | 0.645798 |
| passage | 0.332258 |
| population-level reduction | 0.486855 |
| age bracket | 0.459687 |
| percent | 0.337028 |
| youth | 0.33016 |
| traditional rite | 0.456505 |
| Department | 0.334604 |
| MMCs | 0.362045 |
| service delivery | 0.45841 |
| planned MMC sites | 0.60946 |
| HSRC report | 0.481828 |
| ethnic groups | 0.464771 |
|
| percentage | 0.334994 |
| majority | 0.370868 |
| VMMC increases | 0.451924 |
| HIV-negative men | 0.466837 |
| high HIV incidence | 0.590654 |
| male circumcision | 0.893942 |
| PEPFAR | 0.365165 |
| eligible males | 0.531698 |
| USAID | 0.347775 |
| Defense | 0.334575 |
| vision | 0.334361 |
| low existing rates | 0.569348 |
| traditional circumcision | 0.687938 |
| medical male circumcision | 0.747025 |
| targeted locations | 0.457218 |
|
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| 8544 |
Centers for Disease Control and Prevention |
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Rapid Implementation of Pulse Oximetry Newborn Screening toDetect Critical Congenital Heart Defects - New Jersey, 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. |
| CCHD screening program | 0.463153 |
| routine screening | 0.443815 |
| data | 0.526102 |
| future aggregate data | 0.390172 |
| Birth Defects | 0.413829 |
| newly mandated screening | 0.468445 |
| aggregate pulse oximetry | 0.485638 |
| Jersey birthing facilities | 0.448798 |
| aggregate screening data | 0.522794 |
| NJDOH | 0.394689 |
| statewide newborn screening | 0.52835 |
| positive screens | 0.519845 |
| facilities screen newborns | 0.399334 |
| universal newborn screening | 0.51549 |
| intensive care unit | 0.400232 |
| oximetry screening results | 0.515998 |
| CCHD screening | 0.505902 |
| pulse oximetry | 0.959784 |
| individual-level screening | 0.43546 |
| live births | 0.393303 |
| New Jersey Dept | 0.419223 |
| New Jersey Birth | 0.390549 |
| positive screening results | 0.735589 |
| newborn screening | 0.608844 |
| data flow | 0.390468 |
|
| birthing facilities | 0.607758 |
| oximetry screening procedures | 0.531476 |
| Uniform Newborn Screening | 0.465733 |
| New Jersey birthing | 0.481617 |
| pulse oximetry surveillance | 0.457193 |
| data collection processes | 0.396688 |
| critical congenital heart | 0.471838 |
| congenital heart disease | 0.445871 |
| licensed birthing facilities | 0.432493 |
| aggregate data reports | 0.432482 |
| neonatal intensive care | 0.441815 |
| statewide CCHD screening | 0.46873 |
| New Jersey Department | 0.396132 |
| staff members | 0.526587 |
| newborns | 0.448085 |
| data collection | 0.411147 |
| New Jersey | 0.816868 |
| newborn screening protocol | 0.531101 |
| Jersey birthing hospitals | 0.404299 |
| hospital staff members | 0.4251 |
| prenatal ultrasound screening | 0.45081 |
| New Jersey data | 0.401251 |
| pulse oximetry screening | 0.802918 |
| relatively low burden | 0.419049 |
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| 8761 |
Centers for Disease Control and Prevention |
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Telebriefing on Hepatitis C testing |
CDC Telebriefing on New Food Safety data |
| severe liver disease | 0.494738 |
| hepatitis media office | 0.546336 |
| Hepatitis C testing | 0.578171 |
| liz highleyman | 0.50726 |
| Hepatitis C infection | 0.543744 |
| health care providers | 0.728231 |
| follow-up testing | 0.556501 |
| initial antibody test | 0.501535 |
| tom frieden | 0.907451 |
| RNA test results | 0.48779 |
| Mr. Tom Skinner. | 0.497012 |
| Hepatitis C. | 0.65796 |
| appropriate follow-up testing | 0.511642 |
| Dr. Ward | 0.709612 |
| john ward | 0.819151 |
| Hepatitis CÂ Â antibodies | 0.526848 |
| call. Hepatitis | 0.541429 |
| follow-up test. | 0.501562 |
| CDC vital signs. | 0.487924 |
| TOM SKINNER | 0.75882 |
| Hepatitis C treatments | 0.537453 |
| health care workers. | 0.493011 |
| robert lowes | 0.510418 |
| health care workers | 0.618317 |
| antibody test | 0.650586 |
|
| Dr. Tom Frieden | 0.546055 |
| positive follow-up test | 0.528634 |
| health care | 0.741831 |
| health care systems | 0.500092 |
| viral hepatitis | 0.539468 |
| question | 0.602555 |
| positive RNA test | 0.495309 |
| RNA test | 0.517595 |
| liver. Liver disease | 0.496943 |
| hepatitis | 0.865428 |
| it. Hepatitis | 0.539534 |
| people | 0.587117 |
| positive antibody test | 0.601524 |
| dr. john ward | 0.63599 |
| baby boomers | 0.508542 |
| follow-up RNA reported. | 0.4954 |
| director tom Frieden | 0.535741 |
| follow-up testing. | 0.528663 |
| DR JOHN WARD | 0.500043 |
| us. Updated Hepatitis | 0.560683 |
| liver does. | 0.490553 |
| liver cancer | 0.52801 |
| good afternoon | 0.525827 |
| Dr. Frieden | 0.544105 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Using the Program Sustainability Assessment Tool to Assess and Plan for Sustainability - CDC |
Implementing and growing a public health program that benefits society takes considerable time and effort. To ensure that positive outcomes are maintained over time, program managers and stakeholders should plan and implement activities to build sustainability capacity within their programs. We describe a 3-part sustainability planning process that programs can follow to build their sustainability capacity. |
| Prevention program sustainability | 0.586973 |
| sustainability efforts | 0.56609 |
| program | 0.860486 |
| summary Sustainability Report | 0.614518 |
| sustainability indicators | 0.542774 |
| sustainability planning process | 0.718048 |
| chronic disease program | 0.584026 |
| Public Health Systems | 0.497019 |
| ongoing sustainability assessment | 0.552865 |
| long-term sustainability | 0.566029 |
| sustainability capacity | 0.940747 |
| sample Sustainability Report | 0.569924 |
| PSAT summary Sustainability | 0.624678 |
| program sustainability planning | 0.647056 |
| sustainability scores | 0.55584 |
| 3-part sustainability | 0.564393 |
| sustainability | 0.997386 |
| sustainability measurement tools | 0.58209 |
| St Louis | 0.492778 |
| sustainability factors | 0.53373 |
| sustainability planning | 0.72339 |
| sustainability needs | 0.56274 |
| current sustainability strengths | 0.553979 |
| sustainability results | 0.545014 |
|
| Health Systems Science | 0.492495 |
| program’s sustainability | 0.703037 |
| long-term sustainability efforts | 0.563214 |
| program sustainability capacity | 0.64758 |
| sustainability planning model | 0.557987 |
| Program Sustainability Assessment | 0.745505 |
| priority sustainability areas | 0.560802 |
| program managers | 0.509047 |
| health program capacity | 0.513959 |
| program staff | 0.565211 |
| public health | 0.684792 |
| public health program | 0.595561 |
| Sustainability Assessment Tool | 0.72153 |
| sustainability domains | 0.548488 |
| sustainability planning resources | 0.563963 |
| public health programs | 0.611759 |
| sustainability action planning | 0.627504 |
| program’s capacity | 0.490903 |
| action steps | 0.5598 |
| health department program | 0.494614 |
| Sustainability Report | 0.635598 |
| current sustainability capacity | 0.594095 |
| G. Coalition sustainability | 0.54424 |
| Sustainability Framework | 0.572135 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | A Qualitative Study of Tobacco Dependence Treatment in 19 US Dental Hygiene Programs - CDC |
The US Public Health Service calls for health professionals to provide tobacco dependence counseling for patients. The purpose of this study was to understand how dental hygiene programs make decisions about and provide training for tobacco dependence counseling to help them graduate more fully competent hygienists. |
| tobacco use cessation | 0.577217 |
| tobacco user | 0.447567 |
| TDT competence | 0.425556 |
| tobacco dependence counseling | 0.46238 |
| dental hygiene treatment | 0.398264 |
| TDT competency | 0.407288 |
| Tobacco Cessation | 0.409061 |
| dental hygiene | 0.935297 |
| tobacco | 0.724269 |
| hygiene education programs | 0.479192 |
| tobacco users | 0.408138 |
| health care providers | 0.389666 |
| formal TDT training | 0.452411 |
| health professionals | 0.396657 |
| patients | 0.404445 |
| tobacco dependence training | 0.507004 |
| American Dental Hygienists | 0.409649 |
| fluoride treatment | 0.400412 |
| tobacco dependence treatment | 0.481922 |
| hygiene training programs | 0.438342 |
| M. Dental hygiene | 0.388469 |
| programs | 0.758152 |
| dental schools | 0.392753 |
| dental hygiene mission | 0.391759 |
| students | 0.553657 |
|
| training | 0.614792 |
| dental hygiene students | 0.429112 |
| fluoride therapy training | 0.424364 |
| dental hygiene education | 0.690868 |
| dental hygiene training | 0.45538 |
| dental hygiene competence | 0.400026 |
| patient | 0.414535 |
| tobacco dependence | 0.694904 |
| public health | 0.400363 |
| health care | 0.395446 |
| dental hygiene texts | 0.396012 |
| clinical training students | 0.401984 |
| faculty member | 0.402845 |
| TDT | 0.685291 |
| tooth whitening | 0.489219 |
| clinical training | 0.534035 |
| chair-side tobacco dependence | 0.40584 |
| Public Health Service | 0.39989 |
| dental hygiene program | 0.399418 |
| dental hygiene programs | 0.593651 |
| dental hygiene educators | 0.405883 |
| faculty members | 0.527906 |
| tobacco programs | 0.39948 |
| tobacco champion | 0.452549 |
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Centers for Disease Control and Prevention |
Html |
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Diagnosis | Ebola Hemorrhagic Fever |
null |
| detectable levels | 0.651505 |
| patients | 0.37363 |
| typhoid fever | 0.779545 |
| Ebola infection | 0.909831 |
| malaria | 0.401032 |
| blood | 0.363548 |
| public health authorities | 0.936638 |
| Ebola virus | 0.841318 |
|
| Laboratory tests | 0.619375 |
| person | 0.489185 |
| patient | 0.43284 |
| Samples | 0.367765 |
| contact | 0.366885 |
| common diseases | 0.672141 |
| early symptoms | 0.906326 |
|
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Centers for Disease Control and Prevention |
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Guidance for Screening and Caring for Pregnant Women with Ebola Virus Disease for Healthcare Providers in U.S. Hospitals |
null |
| longest known incubation | 0.396954 |
| CDC guidance | 0.401197 |
| uncertain control measures | 0.653015 |
| pregnant patient | 0.423439 |
| screen patients | 0.419239 |
| recent travel | 0.433082 |
| similar risk factors | 0.393254 |
| fetal loss | 0.4045 |
| Ebola virus exposure | 0.528524 |
| routine obstetric care | 0.407015 |
| public health authorities | 0.39322 |
| Ebola virus | 0.872775 |
| neonatal survivals.1 Causes | 0.394222 |
| pregnant women | 0.970746 |
| pregnant puis | 0.504356 |
| direct contact | 0.395077 |
| pregnant woman | 0.428636 |
| spontaneous fetal loss | 0.389189 |
| large amounts | 0.401253 |
| transplacental viral passage | 0.389081 |
| pregnant healthcare workers | 0.530265 |
| confirmed EVD.7 Training | 0.401928 |
| U.S. healthcare providers | 0.416689 |
| healthcare team caring | 0.402533 |
| risk factors | 0.468348 |
|
| complications.10 Healthcare providers | 0.410399 |
| personal protective equipment | 0.481516 |
| patients | 0.510959 |
| epidemiologic risk factors | 0.464457 |
| body fluids | 0.39993 |
| EVD | 0.679989 |
| state health department.6 | 0.396346 |
| highly developed healthcare | 0.402489 |
| clinically stable persons | 0.393252 |
| Ebola virus disease | 0.55567 |
| healthcare providers | 0.545541 |
| PPE | 0.412624 |
| U.S. hospitals | 0.459031 |
| urban settings | 0.488827 |
| healthcare worker exposure | 0.405421 |
| overall physical condition | 0.387206 |
| perinatal mortality rates | 0.393274 |
| early gestational ages | 0.388771 |
| Asymptomatic pregnant women | 0.490026 |
| confirmed EVD | 0.486506 |
| widespread Ebola transmission | 0.738724 |
| small case series | 0.39228 |
| healthcare workers | 0.769491 |
| general medical management | 0.393226 |
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