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Centers for Disease Control and Prevention |
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5 Things You Need to Know about Tuberculosis (TB) | CDC Features |
What disease was once the leading cause of death in the United States? Tuberculosis (TB) is a disease caused by bacteria that are spread from person to person through the air. Learn more. |
| latent TB infection | 0.615939 |
| migrant farm camp | 0.385651 |
| homeless shelter | 0.34606 |
| Abuse alcohol | 0.349192 |
| body | 0.30977 |
| Conditions | 0.309617 |
| ethnic groups | 0.348897 |
| blood test measures | 0.383839 |
| TB blood test | 0.672594 |
| TB bacteria | 0.744557 |
| deaths | 0.31085 |
| TB test | 0.568754 |
| risk factors | 0.349096 |
| disproportionate burden | 0.357571 |
| past | 0.309684 |
| TB rates | 0.630559 |
| Fact | 0.364912 |
| ethnic minorities | 0.351517 |
| population | 0.3097 |
| symptoms | 0.333375 |
| Mantoux tuberculin skin | 0.387203 |
| health problems | 0.348559 |
| care worker look | 0.388362 |
| person | 0.342503 |
|
| high risk | 0.34501 |
| difference | 0.309315 |
| nursing homes | 0.346873 |
| death | 0.311358 |
| United States | 0.50554 |
| greater proportion | 0.354616 |
| TB disease | 0.89101 |
| air | 0.311285 |
| Tests | 0.309653 |
| world | 0.334027 |
| signs | 0.320405 |
| illegal drugs | 0.399421 |
| TB infection | 0.637024 |
| TB treatment | 0.54939 |
| deadliest diseases | 0.359253 |
| TB cases | 0.575654 |
| medicine | 0.319823 |
| LTBI | 0.354231 |
| tuberculin skin test | 0.45823 |
| people | 0.413713 |
| TB | 0.918927 |
| higher chance | 0.347708 |
| doctor | 0.309711 |
| activities | 0.309613 |
|
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Centers for Disease Control and Prevention |
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Allyl glycidyl ether - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| 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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ADHD Prevalence - NCBDDD |
null |
| Holbrook J. R. | 0.483953 |
| previous national survey | 0.495149 |
| CDC | 0.466904 |
| Mortality Weekly Report | 0.483229 |
| Birth Defects | 0.456615 |
| current ADHD diagnosis | 0.700758 |
| Health Sciences Center | 0.515084 |
| behavioral health conditions | 0.490341 |
| community-based studies | 0.496939 |
| children | 0.627872 |
| Attention-Deficit/Hyperactivity Disorder | 0.574704 |
| school districts | 0.495766 |
| National Center | 0.467211 |
| intervention strategies | 0.455991 |
| NCHS data brief | 0.490663 |
| good treatment plans | 0.497128 |
| previous community-based estimates | 0.500348 |
| parent-reported survey data | 0.493025 |
| clinical practice guidelines | 0.490964 |
| ADHD case definition | 0.816018 |
| DSM-IV ADHD criteria | 0.704667 |
| ADHD symptoms | 0.668194 |
| Clinical Practice Guideline | 0.486453 |
| single treatment | 0.456117 |
| deficit hyperactivity disorder | 0.492 |
|
| ADHD | 0.942905 |
| Developmental Disabilities | 0.455696 |
| multisite Project | 0.459169 |
| Parent-Reported Attention-Deficit/Hyperactivity Disorder | 0.505362 |
| United States | 0.537283 |
| epidemiologic studies | 0.459505 |
| clinical practice | 0.49479 |
| common neurobehavioral disorder | 0.500338 |
| South Carolina | 0.511658 |
| DSM-IV-based case definition | 0.514259 |
| elementary school-aged children | 0.528641 |
| ADHD medication | 0.806962 |
| Public Health Practice | 0.491029 |
| study methods | 0.455947 |
| comparison children | 0.47632 |
| Attention Disorders1 | 0.45613 |
| National Resource Center | 0.552483 |
| potential public health | 0.509858 |
| disruptive behavioral disorders | 0.486306 |
| ADHD prevalence rates | 0.732866 |
| health care practitioners | 0.493479 |
| study criteria | 0.457128 |
| behavioral disorders | 0.48977 |
| PLAY study | 0.499887 |
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Centers for Disease Control and Prevention |
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Health Alert Network | Recurrent Nationwide Shortage of Tuberculin Skin Test Antigen Solutions: CDC Recommendations for Patient Care and Public Health Practice |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| IGRA test materials | 0.651491 |
| PPD tuberculin product | 0.536671 |
| JHP Pharmaceuticals | 0.518979 |
| IGRAs entail services | 0.494798 |
| occupational health | 0.504126 |
| public health authorities | 0.498054 |
| TB contact investigations | 0.589908 |
| occupational health authorities | 0.490089 |
| IGRA products | 0.542366 |
| borderline results | 0.517588 |
| results | 0.519472 |
| Mycobacterium tuberculosis infection | 0.525671 |
| routine serial TSTs | 0.494246 |
| tuberculin skin tests | 0.560965 |
| public health rules | 0.497612 |
| Substitute IGRA blood | 0.665238 |
| public health officials | 0.524385 |
| interferon-γ release assay | 0.501042 |
| tuberculin antigen solutions | 0.533402 |
| United States Food | 0.510701 |
| TST | 0.562194 |
| M. tuberculosis infection | 0.520221 |
| cross-sectional controlled studies | 0.492998 |
| IGRA blood tests | 0.939586 |
|
| CDC Health Alert | 0.557048 |
| TB exposure | 0.506351 |
| United States | 0.623978 |
| similar results | 0.516541 |
| IGRA blood | 0.957201 |
| commercial IGRA blood | 0.663655 |
| tuberculin units/0.1 mL | 0.686625 |
| current shortage | 0.461817 |
| skin test solutions | 0.504545 |
| public health | 0.67809 |
| TB infection | 0.523132 |
| routine serial testing | 0.494493 |
| IGRA blood test | 0.949679 |
| ) disease. | 0.621818 |
| Sanofi Pasteur Limited | 0.530505 |
| TB cases | 0.525471 |
| local TB epidemiology | 0.585255 |
| relative TB risks | 0.583039 |
| tuberculin skin test | 0.667947 |
| specific laboratory services | 0.487973 |
| risk-stratified cut-off measurements | 0.484053 |
| recurrent shortage | 0.468012 |
| TB diagnosis | 0.526695 |
| multiple dose vials | 0.681775 |
|
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| 9773 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Patient Satisfaction and Perceived Success with a Telephonic Health Coaching Program: The Natural Experiments for Translation in Diabetes (NEXT-D) Study, Northern California, 2011 - CDC |
Health coaching can improve lifestyle behaviors known to prevent or manage chronic conditions such as diabetes. However, little is known about the patient experience with telephonic coaching programs in real-world care settings. |
| wellness coaching session | 0.51734 |
| Voluntary telephonic health | 0.385861 |
| health coaching programs | 0.434297 |
| health care delivery | 0.506067 |
| Permanente Northern California | 0.479388 |
| patient characteristics | 0.401911 |
| health coaching | 0.752643 |
| telephonic coaching programs | 0.435594 |
| PAM-6 scores | 0.389884 |
| coaching programs | 0.45266 |
| patients | 0.517983 |
| weight-related topics | 0.389601 |
| healthful eating | 0.433808 |
| voluntary health coaching | 0.394928 |
| Kaiser Permanente Wellness | 0.393307 |
| respondents | 0.397043 |
| Kaiser Permanente resources | 0.391444 |
| success | 0.400869 |
| survey | 0.457917 |
| Introduction
Health coaching | 0.419997 |
| Wellness Coaching help | 0.421206 |
| coaching sessions | 0.441286 |
| wellness coaching | 0.914016 |
| population-based telephonic coaching | 0.385667 |
| Kaiser Permanente Northern | 0.44782 |
|
| patient activation | 0.5959 |
| highest activation level | 0.404899 |
| wellness coaching participation | 0.407162 |
| survey response rate | 0.395927 |
| patient activation measure | 0.434241 |
| telephonic health coaching | 0.525849 |
| Kaiser Permanente | 0.509133 |
| PAM-6 activation level | 0.410664 |
| weight-related goal | 0.389282 |
| telephonic Wellness Coaching | 0.440175 |
| large integrated health | 0.417962 |
| healthy weight | 0.391796 |
| satisfaction | 0.437283 |
| health coaching program | 0.482509 |
| wellness coaches | 0.430406 |
| physical activity | 0.468533 |
| lowest activation level | 0.405922 |
| patient satisfaction | 0.41553 |
| activation level | 0.445663 |
| multifaceted wellness program | 0.387016 |
| voluntary telephonic coaching | 0.406879 |
| telephonic coaching program | 0.442029 |
| wellness coaching sessions | 0.428569 |
| health plan | 0.386044 |
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Centers for Disease Control and Prevention |
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ELISA Software for Bioassays | Manual | Plot Standard Curves |
Module 5 of the ELISA for Windows user's manual: Plot Standard Curves. |
| Windows interface | 0.301496 |
| available option | 0.297781 |
| plate number field | 0.373535 |
| standards data file | 0.844133 |
| user intervention | 0.377534 |
| screen | 0.313474 |
| fully annotated plot | 0.413165 |
| replicate optical densities | 0.403256 |
| appropriate text box | 0.374963 |
| dialog window | 0.39988 |
| logistic-log function | 0.303995 |
| entire file | 0.467674 |
| file | 0.857008 |
| parameter estimation | 0.538435 |
| standard curve plots | 0.577565 |
| file names | 0.3262 |
| file list box | 0.403457 |
| robust fit | 0.390791 |
| fitting techniques | 0.3153 |
| different file | 0.325086 |
| standard curve | 0.800664 |
| stable set | 0.30424 |
| standards data | 0.849199 |
| parameter estimates | 0.326843 |
|
| plates | 0.318057 |
| point cubic spline | 0.457409 |
| printer | 0.404824 |
| module | 0.403208 |
| coefficient data file | 0.464355 |
| standard curve line | 0.416118 |
| file name box | 0.322611 |
| screen image | 0.294679 |
| particular plate | 0.29552 |
| coefficient file | 0.458811 |
| data file selection | 0.412504 |
| fitted standard curve | 0.433749 |
| repetitive entry | 0.302906 |
| spline fit | 0.91819 |
| logistic-log parameters | 0.298122 |
| standards series | 0.297833 |
| nonparametric fit | 0.392766 |
| single plot | 0.304517 |
| unweighted least squares | 0.407969 |
| additional option | 0.318753 |
| user | 0.554484 |
| median value | 0.311622 |
| module forms | 0.349799 |
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Centers for Disease Control and Prevention |
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Control of Ebola Virus Disease - Firestone District,Liberia, 2014 |
On October 21, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Ebola exposure risk | 0.428079 |
| Ebola case definition | 0.456556 |
| Ebola education | 0.416239 |
| Ebola treatment unit | 0.457287 |
| Firestone Natural Rubber | 0.389256 |
| national Ebola case | 0.538974 |
| Ebola clusters | 0.416361 |
| Firestone Liberia | 0.434807 |
| high-risk exposures | 0.381648 |
| Ebola outbreak response | 0.444273 |
| Firestone plantation area | 0.42275 |
| Ebola case | 0.570556 |
| Ebola outbreak | 0.512647 |
| Firestone response | 0.344291 |
| Ebola case definitions | 0.467028 |
| Firestone employee | 0.369501 |
| intense Ebola transmission | 0.480608 |
| Ebola transmission | 0.50373 |
| standard Ebola | 0.474522 |
| Fifty-three Ebola cases | 0.454611 |
| Firestone ETU | 0.347943 |
| Disease — Firestone | 0.370637 |
| ebola survivors | 0.456389 |
| health care | 0.360614 |
|
| Ebola outbreak control | 0.439714 |
| Firestone communities | 0.359362 |
| Firestone District | 0.436595 |
| Ebola case deaths | 0.446852 |
| Firestone plantation | 0.481399 |
| Firestone staff members | 0.371728 |
| ebola virus disease | 0.511075 |
| Firestone HCWs | 0.356222 |
| Ebola response | 0.453109 |
| ebola cases | 0.72775 |
| Ebola patient | 0.500803 |
| Firestone facilities averages | 0.378637 |
| Firestone | 0.696786 |
| initial Ebola case | 0.461654 |
| Ebola signs | 0.43563 |
| Ebola control guidelines | 0.43099 |
| Firestone Tire | 0.365343 |
| Ebola infection control | 0.485646 |
| Firestone rubber tree | 0.392371 |
| Ebola patients | 0.655323 |
| Firestone hospital | 0.345434 |
| Ebola | 0.911553 |
| subsequent Ebola cases | 0.459348 |
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Centers for Disease Control and Prevention |
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Protect All the Skin Youre In Infographic |
Skin cancer is the most common cancer in the United States, yet most skin cancers can be prevented. Every year, there are 63,000 new cases of and 9,000 deaths from melanoma—the deadliest form of skin cancer. |
| skin cancer | 0.994186 |
| United States | 0.634358 |
| SPF | 0.457003 |
| graphics | 0.443346 |
| year— | 0.442803 |
| skin cancers | 0.634242 |
| blog | 0.443091 |
| matter | 0.439245 |
| skin tone | 0.603811 |
| deadliest form | 0.630398 |
| common cancer | 0.60956 |
| hat | 0.439823 |
| deaths | 0.447742 |
| obesity | 0.44649 |
| artificial sources | 0.608491 |
|
| UV | 0.444839 |
| sunglasses | 0.444149 |
| midday | 0.45976 |
| common cause | 0.59805 |
| shade | 0.456521 |
| melanoma | 0.452419 |
| Exposure | 0.442135 |
| people | 0.43941 |
| clothes | 0.487789 |
| broad spectrum sunscreen | 0.813477 |
| social network profile | 0.833238 |
| outdoors | 0.442742 |
| Web site | 0.638606 |
| new cases | 0.61334 |
| sweating | 0.455765 |
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Centers for Disease Control and Prevention |
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¿QuÉ debo saber sobre detecciÓn del cÁncer de cuello uterino? |
El cáncer de cuello uterino es el cáncer ginecológico más fácil de prevenir con pruebas de detección periódicas y seguimiento de los resultados de las pruebas. Existen dos pruebas de detección que pueden ayudar a prevenir o detectar el cáncer de cuello uterino en las etapas iniciales. Estas son la prueba de Papanicoláu y la prueba del VPH. |
| Archivo Apple Quicktime | 0.320189 |
| próxima prueba | 0.323736 |
| Archivo Microsoft PowerPoint | 0.321306 |
| Archivo Adobe PDF | 0.319848 |
| Archivo Microsoft | 0.358989 |
| Archivo Microsoft Word | 0.321118 |
| siguientes situaciones | 0.313815 |
| cuello uterino | 0.98152 |
|
| Detección Temprana | 0.314477 |
| histerectomÃa completa | 0.313196 |
| Programa Nacional | 0.313054 |
| Archivo Zip Comprimido | 0.319953 |
| Archivo Microsoft Excel | 0.319556 |
| único cáncer | 0.31821 |
| enfermera cuáles pruebas | 0.328211 |
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Centers for Disease Control and Prevention |
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FastStats - Reproductive Health |
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| Sexual Activity | 0.66436 |
| Key Statistics | 0.657272 |
| United States | 0.676825 |
| Percent | 0.599186 |
| sexual intercourse | 0.742344 |
| menstrual period | 0.709287 |
| PID | 0.481303 |
| pelvic inflammatory disease | 0.928581 |
|
| Males | 0.489762 |
| Source | 0.488637 |
| never-married teens | 0.725524 |
| KB | 0.485912 |
| Contraceptive | 0.491745 |
| Teenagers | 0.472153 |
| National Survey | 0.655824 |
| Females | 0.486643 |
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