| 1297 |
Centers for Disease Control and Prevention |
Html |
en |
National, State, and Selected Local Area VaccinationCoverage Among Children Aged 19-35 Months - United States,2013 |
Laurie D. Elam-Evans, PhD1, David Yankey, MS1, James A. Singleton, PhD1, Maureen Kolasa, MPH1 (Author affiliations at end of text). |
| vaccination coverage | 0.95297 |
| MMR dose | 0.400766 |
| HepB doses | 0.390847 |
| children | 0.696069 |
| state health departments | 0.353249 |
| pneumococcal conjugate vaccine | 0.367017 |
| PCV doses | 0.416974 |
| varicella vaccine | 0.396183 |
| poverty level | 0.594138 |
| catch-up doses | 0.337097 |
| lower vaccination coverage | 0.357687 |
| dose | 0.605632 |
| booster dose | 0.355195 |
| pertussis vaccine | 0.342303 |
| high vaccination coverage | 0.379202 |
| DTaP doses | 0.423315 |
| poliovirus vaccine | 0.388669 |
| doses | 0.777671 |
| varicella doses | 0.347203 |
| United States | 0.392515 |
| vaccines | 0.357848 |
| rotavirus vaccine | 0.360055 |
| varicella dose | 0.326375 |
| product type | 0.346851 |
| percentage points | 0.574865 |
|
| rubella vaccine | 0.328723 |
| HepA dose coverage | 0.352477 |
| white children | 0.354498 |
| combined vaccine series | 0.348686 |
| MMR vaccination coverage | 0.358348 |
| health departments | 0.386097 |
| national vaccination coverage | 0.377877 |
| area vaccination coverage | 0.361993 |
| Healthy People | 0.423519 |
| local health departments | 0.35349 |
| booster doses | 0.390063 |
| National Immunization Survey | 0.368191 |
| Hib | 0.34594 |
| dose coverage levels | 0.341848 |
| adequate vaccination data | 0.368056 |
| childhood vaccination coverage | 0.326794 |
| MMR dose coverage | 0.378396 |
| vaccine series | 0.40846 |
| birth dose | 0.444406 |
| vaccine | 0.581949 |
| HepB birth dose | 0.416136 |
| poliovirus doses | 0.357188 |
| HepA doses | 0.427185 |
| American Indian/Alaska Native | 0.374585 |
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| 4883 |
Centers for Disease Control and Prevention |
Html |
en |
VISA / VRSA in Healthcare Settings - HAI |
null |
| previous infections | 0.400094 |
| healthcare personnel | 0.375882 |
| Clinical Reminder | 0.375709 |
| prompt recognition | 0.374083 |
| United States | 0.372049 |
| clinical microbiology laboratories | 0.436811 |
| methicillin-resistant Staphylococcus aureus | 0.570036 |
| Drug Administration | 0.461347 |
| kidney disease | 0.385677 |
| people’s wounds | 0.375921 |
| skin conditions | 0.378491 |
| family member | 0.372027 |
| staph bacteria | 0.900476 |
| antimicrobial agents | 0.54088 |
| vancomycin-resistant staphylococcus aureus | 0.787032 |
| -intermediate Staphylococcus aureus | 0.572721 |
| vancomycin MIC | 0.53316 |
| antibiotic-resistant staph bacteria | 0.557384 |
| antimicrobial agent | 0.397533 |
| health conditions | 0.386016 |
| avoid contact | 0.372268 |
| Staphylococcus aureus | 0.825503 |
| staph infection | 0.493035 |
| infection control practices | 0.447958 |
|
| field investigations | 0.372188 |
| VRSA | 0.740633 |
| test tube | 0.44665 |
| infectious body substances | 0.434625 |
| public health investigation | 0.432346 |
| VRSA cases | 0.551985 |
| infected patients | 0.432064 |
| VISA | 0.507918 |
| recent exposure | 0.384652 |
| infection control personnel | 0.530705 |
| laboratory tests | 0.378471 |
| healthcare facilities | 0.372332 |
| bacterial growth | 0.375215 |
| -approved drugs | 0.459099 |
| minimum inhibitory concentration | 0.446733 |
| clinical laboratories | 0.382846 |
| important role | 0.373999 |
| specific types | 0.38774 |
| healthcare provider | 0.38012 |
| healthcare setting | 0.374235 |
| hand hygiene | 0.372541 |
| antimicrobial-resistant bacteria | 0.431658 |
| close physical contact | 0.531009 |
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| 5329 |
Centers for Disease Control and Prevention |
Html |
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Understand Quarantine and Isolation - Fact Sheet |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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CLICK HERE |
| 6813 |
Centers for Disease Control and Prevention |
Html |
en |
The mental health needs of out-of-school adolescents and young adults: an intervention conducted in employment training programs, Baltimore, Maryland, 2007-2008. |
The primary objective of our study was to evaluate changes in depressive symptoms, coping strategies, and receipt of mental health services among low-income African American adolescents and young adults receiving a mental health intervention integrated into an employment training program. |
| meaningful depressive symptoms | 0.349382 |
| study participants | 0.32439 |
| mental health | 0.945908 |
| social environmental variables | 0.274178 |
| mental health provider | 0.291435 |
| depressive symptoms | 0.805505 |
| baseline ACASIs | 0.283059 |
| baseline depressive symptom | 0.301805 |
| onsite mental health | 0.287371 |
| specific mental health | 0.281728 |
| mental health problems | 0.300355 |
| Government Accountability Office | 0.270239 |
| baseline stress | 0.296704 |
| Active coping scores | 0.284541 |
| social support | 0.32682 |
| mental health services | 0.908148 |
| mental health activities | 0.282899 |
| baseline | 0.36274 |
| CES-D score | 0.333763 |
| YO staff | 0.291227 |
| mental health intervention | 0.426015 |
| support-seeking coping score | 0.300669 |
| mental health status | 0.294588 |
| young adults | 0.556547 |
| greater health risk | 0.3011 |
|
| employment training programs | 0.506645 |
| Public Health | 0.280534 |
| peer-led depression prevention | 0.272594 |
| comprehensive mental health | 0.282723 |
| depression prevention intervention | 0.287313 |
| support-seeking coping strategies | 0.325974 |
| baseline stress score | 0.287393 |
| on-site mental health | 0.299973 |
| YO members | 0.396605 |
| mean CES-D score | 0.291914 |
| baseline ACASI | 0.274715 |
| mental health information | 0.291497 |
| participants | 0.328587 |
| mental health issues | 0.290587 |
| mental health outcomes | 0.283457 |
| Eastside YO Center | 0.315541 |
| mental health researchers | 0.290467 |
| role mental health | 0.290566 |
| mental health clinician | 0.359037 |
| active coping score | 0.303271 |
| active coping strategies | 0.306528 |
| employment training program | 0.324983 |
| African American adolescents | 0.369522 |
| depressive episode | 0.274352 |
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| 6950 |
Centers for Disease Control and Prevention |
Html |
en |
CDC - Preventing Chronic Disease: Volume 9, 2012:11_0249 |
The objective of this study was to estimate the race/ethnicity-specific percentage of GDM attributable to overweight and obesity in Florida. |
| obese BMI category | 0.430064 |
| Asian/Pacific Islander women | 0.454818 |
| birth certificate data | 0.438135 |
| social security number | 0.413616 |
| non-Hispanic black women | 0.436851 |
| GDM | 0.91007 |
| Elevated prepregnancy BMI | 0.409899 |
| BMI category | 0.450174 |
| obesity | 0.414793 |
| racial/ethnic groups | 0.454427 |
| obese BMI categories | 0.436501 |
| highest GDM prevalence | 0.528172 |
| prepregnancy weight | 0.420654 |
| prepregnancy BMI | 0.482822 |
| BMI status | 0.443884 |
| universal GDM screening | 0.495975 |
| body mass index | 0.466207 |
| GDM risk | 0.833526 |
| hospital discharge records | 0.412953 |
| American Indian women | 0.414354 |
| gestational diabetes mellitus | 0.431105 |
| Florida | 0.427486 |
| American Indians | 0.438166 |
| GDM deliveries | 0.499749 |
| maternal prepregnancy BMI | 0.435382 |
|
| clear BMI threshold | 0.407888 |
| lower BMI values | 0.413125 |
| GDM diagnosis | 0.528654 |
| lowest GDM rates | 0.504662 |
| maternal social security | 0.431 |
| women | 0.529427 |
| hospital discharge | 0.485518 |
| Asian/Pacific Islander | 0.519128 |
| BMI categories | 0.539435 |
| non-Hispanic blacks | 0.541044 |
| GDM status | 0.51271 |
| GDM misclassifications | 0.499126 |
| overweight | 0.439638 |
| BMI | 0.636235 |
| hospital discharge data | 0.425257 |
| maternal BMI | 0.405677 |
| birth certificate | 0.610258 |
| GDM prevalence estimates | 0.581465 |
| Asian-specific BMI categories | 0.417354 |
| lowest GDM prevalence | 0.526946 |
| following BMI categories | 0.419632 |
| GDM cases | 0.647095 |
| GDM prevalence | 0.789828 |
| normal BMI category | 0.412874 |
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| 7095 |
Centers for Disease Control and Prevention |
Html |
en |
World No Tobacco Day - May 31, 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. |
| mmwrq@cdc.gov. | 0.676153 |
| endorsement | 0.567792 |
| Human Services | 0.759481 |
| assistive technology | 0.68106 |
| MMWR HTML versions | 0.769687 |
| U.S. Department | 0.755026 |
| World No Tobacco | 0.791481 |
| Framework Convention | 0.658472 |
| global attention | 0.654928 |
| electronic PDF version | 0.759162 |
| e-mail | 0.557433 |
| tobacco | 0.911442 |
| premature deaths | 0.678824 |
| middle-income countries | 0.67589 |
| erratum | 0.556198 |
| World Health Organization | 0.809582 |
| tobacco smoke | 0.781173 |
| Contact GPO | 0.675531 |
| various measures | 0.656907 |
| commercial sources | 0.649463 |
| preventable cause | 0.66429 |
| second-hand smoke | 0.66902 |
| product contents | 0.654002 |
| current prices | 0.648103 |
|
| tobacco products | 0.782238 |
| persons | 0.574956 |
| original paper copy | 0.766497 |
| Bloomberg M. | 0.657787 |
| U.S. Government Printing | 0.772886 |
| original MMWR paper | 0.764999 |
| current trends | 0.658041 |
| MMWR readers | 0.654231 |
| character translation | 0.642811 |
| death worldwide | 0.663782 |
| United Nations history | 0.788308 |
| smoking prevalence worldwide | 0.77739 |
| widely embraced treaties | 0.792668 |
| format errors | 0.643488 |
| subject line | 0.676535 |
| typeset documents | 0.650058 |
| Tobacco Control | 0.789386 |
| trade names | 0.649566 |
| official text | 0.641211 |
| non-CDC sites | 0.647383 |
| Frieden | 0.537881 |
| treaty | 0.553812 |
| health risks | 0.666789 |
| electronic conversions | 0.639716 |
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| 7826 |
Centers for Disease Control and Prevention |
Html |
en |
HIV/TB Coinfection - Health Communication |
HIV/TB Coinfection - Gateway to Health Communication - CDC |
| latent TB infection | 0.379898 |
| TB treatment | 0.310294 |
| TB bacilli | 0.274272 |
| TB presents | 0.256332 |
| TB cases | 0.269065 |
| Active TB illness | 0.335312 |
| TB | 0.950386 |
| regular TB | 0.261434 |
| TB medicines | 0.253141 |
|
| TB disease differ | 0.315371 |
| TB patients | 0.257404 |
| Multidrug-resistant TB | 0.262698 |
| TB bacillus | 0.334621 |
| pulmonary TB | 0.338687 |
| MDR TB | 0.292507 |
| active tb disease | 0.839881 |
| TB preventive therapy | 0.344544 |
| active pulmonary TB | 0.307042 |
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| 8579 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - An Immigrant's Tale, Nicola and Constance Maffeo |
An Immigrant’s Tale, Many people fled war-ravaged Europe during WWI and several came to America. In addition to adjusting to a new culture and learning a new language, recent immigrants also had to cope with a deadly flu pandemic. Even for those who had settled in the United States before the Great War, the flu pandemic made a difficult existence almost unbearable. |
| pandemic flu | 0.479119 |
| childbirth | 0.250504 |
| husband | 0.250992 |
| Rosa | 0.320307 |
| virus | 0.242721 |
| fourteenth child | 0.434285 |
| twins | 0.255216 |
| Mary Ann Maffeo | 0.737138 |
| Storyteller | 0.263241 |
| aunt | 0.26027 |
| America | 0.246219 |
| gauze | 0.274982 |
| nose | 0.256887 |
|
| Gloria Gambale | 0.489079 |
| Dominic | 0.256586 |
| Nick | 0.495416 |
| chair | 0.321029 |
| grandfather Nicola | 0.487458 |
| Pennsylvania | 0.252124 |
| mouth | 0.25553 |
| sick children | 0.445598 |
| grandmother Constance Maffeo | 0.932593 |
| Italy | 0.246164 |
| separate room | 0.440555 |
| Frank | 0.243871 |
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CLICK HERE |
| 9372 |
Centers for Disease Control and Prevention |
Html |
es |
Políticas antitabaco en el hogar, la iglesia y el trabajo: Niveles de tabaquismo y recientes intentos por dejar de fumar en una población rural del sudeste, 2007 |
CDC - Wide Page example description goes here |
| smoking levels | 0.572678 |
| Fredrick G | 0.517733 |
| Berg CJ | 0.526503 |
| southeastern rural population | 0.845386 |
| Daniel S | 0.479324 |
|
| Estados Unidos | 0.914296 |
| recent quit attempts | 0.836463 |
| Swan DW | 0.533766 |
| Chronic Dis | 0.521585 |
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CLICK HERE |
| 11412 |
Centers for Disease Control and Prevention |
Html |
null |
Square Banners | Banners | Campaign Materials | We Can Stop HIV One Conversation at a Time | Campaigns | Act Against AIDS |
Promotional digital banners of One Conversation at a Time, CDC’s first national effort to encourage Hispanic/Latino families, friends, and communities to talk openly about HIV |
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CLICK HERE |