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Centers for Disease Control and Prevention |
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MMWR News Synopsis: March 27, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| smoking rates | 0.471123 |
| smoking-related disease | 0.563566 |
| state Medicaid cessation | 0.681341 |
| adult health problems | 0.579261 |
| state Medicaid programs | 0.644353 |
| avoidable tragedy | 0.451396 |
| cancer risk factors | 0.638005 |
| Evidence-based strategies | 0.582536 |
| female breast | 0.558085 |
| high-risk sexual behaviors | 0.557662 |
| certain chronic diseases | 0.543956 |
| years. Medicaid | 0.517662 |
| drug abuse | 0.438639 |
| cancer incidence rates | 0.737599 |
| CM results | 0.516108 |
| brain development | 0.440172 |
| lifelong health | 0.586639 |
| rectum cancer | 0.500182 |
| health care costs | 0.570737 |
| previous reports | 0.437675 |
| United States Cancer | 0.616222 |
| incidence rates | 0.806134 |
| human papillomavirus | 0.467154 |
| CDC Media Relations | 0.939234 |
| state Medicaid coverage | 0.648965 |
|
| new cases | 0.455477 |
| cancer rates | 0.510721 |
| cancer screening | 0.487154 |
| important tools | 0.456844 |
| smoking cessation treatments | 0.617867 |
| negative health effects | 0.579325 |
| major public health | 0.821776 |
| public health burden | 0.591412 |
| government cancer incidence | 0.716512 |
| U.S. DEPARTMENT | 0.43881 |
| individual states | 0.455883 |
| annual incidence rate | 0.691419 |
| Child maltreatment | 0.639936 |
| higher risk | 0.444769 |
| Medicaid population. | 0.515197 |
| important contributor | 0.439951 |
| Preventive services | 0.45558 |
| CM | 0.534496 |
| mortality statistics | 0.449565 |
| National cancer registry | 0.623699 |
| U.S. population | 0.447224 |
| gradual progress | 0.435877 |
| higher rate | 0.440703 |
| public health challenge | 0.587995 |
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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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Carbaryl - 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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Teen Pregnancy - Free Resources |
CDC's Winnable Battles are public health priorities with large-scale impact on health and with known, effective strategies to address them. |
| teen care | 0.610432 |
| CDC | 0.438564 |
| methods | 0.424871 |
| email address | 0.731537 |
| questions | 0.425403 |
| Teen Pregnancy Winnable | 0.889235 |
| presentations | 0.42788 |
| Winnable Battles Teen | 0.923601 |
| PDF | 0.446536 |
| social media tools | 0.720367 |
| Birth Control | 0.555146 |
| brochures | 0.428054 |
| work | 0.427662 |
|
| Pregnancy Website | 0.564509 |
| Métodos anticonceptivos | 0.555927 |
| scientific articles | 0.564334 |
| briefing materials | 0.578566 |
| emergency contraceptives | 0.581342 |
| flyers | 0.433562 |
| following materials | 0.574009 |
| background information | 0.5681 |
| at-a-glance brochure | 0.591023 |
| WomensHealth.gov | 0.546223 |
| toolkit | 0.431881 |
| page | 0.592966 |
| U.S | 0.427423 |
|
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Meningitis - Bacterial |
Bacterial Meningitis causes, risk factors, transmission, symptoms, diagnosis, treatment, and prevention |
| Haemophilus influenzae type | 0.378876 |
| infection | 0.290628 |
| tissue damage | 0.247953 |
| United States | 0.314713 |
| Escherichia coli | 0.293261 |
| age group | 0.253406 |
| N. meningitidis | 0.269174 |
| throat secretions | 0.250856 |
| Meningitis bacteriana | 0.397445 |
| local health department | 0.285108 |
| surgical procedures | 0.252022 |
| group b strep | 0.289436 |
| certain foods | 0.294036 |
| meningitis-causing bacteria | 0.278759 |
| permanent disabilities | 0.255353 |
| life-threatening response | 0.253134 |
| meningitis symptoms | 0.383359 |
| bacterial meningitis | 0.981773 |
| risk factors | 0.255111 |
| flu-like symptoms | 0.251662 |
| group B test | 0.249241 |
| Certain people | 0.263134 |
| Listeria monocytogenes | 0.621277 |
|
| Neisseria meningitidis | 0.277104 |
| common examples | 0.249195 |
| large groups | 0.250244 |
| brain damage | 0.253018 |
| people | 0.394013 |
| age groups | 0.287671 |
| College campuses | 0.251253 |
| Older adults | 0.249454 |
| Streptococcus pneumoniae | 0.410941 |
| group B Streptococcus | 0.398002 |
| bacteria Listeria monocytogenes | 0.355427 |
| certain medical conditions | 0.296321 |
| doctor | 0.266235 |
| Certain germs | 0.25603 |
| meningococcal disease | 0.251011 |
| Infectious diseases | 0.250858 |
| Pregnant women | 0.431039 |
| doctors | 0.258682 |
| Common causes | 0.249892 |
| young adults | 0.249614 |
| life-threatening infection | 0.254069 |
| organ failure | 0.250135 |
| risk | 0.307323 |
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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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Global Health - Sudan |
null |
| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
|
| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
|
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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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PanFlu Storybook - I Survived, Betty Somppi |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| influenza | 0.603006 |
| treatment | 0.49772 |
| kindergarten | 0.437478 |
| training facility | 0.761247 |
| Erie | 0.420544 |
| hope | 0.401341 |
| house | 0.393758 |
| boy | 0.392837 |
| shot | 0.413014 |
| tale | 0.399739 |
| mother | 0.550264 |
| Storyteller | 0.438995 |
| member | 0.388813 |
| family doctor | 0.735909 |
| outcome | 0.41589 |
|
| neighbor child | 0.845033 |
| night | 0.399525 |
| confirmation | 0.414327 |
| way | 0.39484 |
| Pennsylvania | 0.521299 |
| morning | 0.401659 |
| Doctors | 0.401077 |
| experimental medication | 0.837682 |
| condition | 0.398546 |
| nearby teacher | 0.773956 |
| Betty Somppi | 0.917158 |
| time | 0.394437 |
| age | 0.387954 |
| parents | 0.505818 |
| Location | 0.413207 |
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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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