| 7110 |
Centers for Disease Control and Prevention |
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en |
Licensure of 13-Valent Pneumococcal Conjugate Vaccine for Adults Aged 50 Years and Older |
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. |
| overall incidence | 0.553374 |
| 13-valent pneumococcal conjugate | 0.620956 |
| original MMWR paper | 0.549354 |
| adults | 0.996246 |
| pneumococcal disease | 0.915414 |
| immunocompromising conditions | 0.627937 |
| chronic lung disease | 0.552892 |
| invasive pneumococcal disease | 0.624823 |
| OPA antibody responses | 0.674843 |
| initial study dose | 0.851287 |
| routine PCV13 vaccination | 0.655226 |
| PPSV23 vaccination | 0.55279 |
| National surveillance systems | 0.550851 |
| MMWR HTML versions | 0.550371 |
| pneumococcal pneumonia | 0.720611 |
| clinical benefit | 0.652687 |
| Common adverse reactions | 0.559028 |
| anatomic asplenia | 0.552129 |
| electronic PDF version | 0.548807 |
| ACIP | 0.676066 |
| OPA GMTs | 0.563001 |
| OPA levels | 0.631484 |
| pediatric PCV13 program | 0.615103 |
| pneumococcal conjugate vaccine | 0.763737 |
|
| infant PCV13 program | 0.615312 |
| indirect effects | 0.61907 |
| initial dose | 0.573081 |
| PCV13 | 0.755037 |
| vaccine-induced pneumococcal antibody | 0.629115 |
| PCV13 safety | 0.557163 |
| nonbacteremic pneumococcal pneumonia | 0.628853 |
| unpublished data | 0.566213 |
| 7-valent pneumococcal conjugate | 0.586672 |
| adverse events | 0.651682 |
| Accelerated Approval pathway | 0.574398 |
| OPA responses | 0.579569 |
| PCV13 serotypes | 0.635168 |
| ACIP deliberations | 0.559013 |
| PPSV23 | 0.788579 |
| initial study doses | 0.573429 |
| PPSV23 responses | 0.561222 |
| mean antibody titers | 0.592448 |
| previous dose | 0.551623 |
| pneumococcal serotypes | 0.549608 |
| single dose | 0.73457 |
| routine PCV13 | 0.688636 |
| initial OPA response | 0.629264 |
|
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| 7375 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: September 6, 2012 |
CDC Media Relations - MMWR News Synopsis: September 6, 2012 |
| highly contagious vaccine | 0.35214 |
| vaccine preventable diseases | 0.719058 |
| CDC
Division | 0.254407 |
| high blood cholesterol | 0.942806 |
| B. Vaccination coverage | 0.492308 |
| vaccination coverage | 0.862387 |
| high cholesterol | 0.462684 |
| immunization coverage | 0.553828 |
| U.S. children | 0.216631 |
| black children | 0.200671 |
| public health | 0.353034 |
| National Immunization Survey | 0.502588 |
| overall cholesterol screening | 0.476722 |
| high immunization coverage | 0.50773 |
| routine vaccines | 0.238382 |
|
| cholesterol screening | 0.596283 |
| poverty level | 0.340902 |
| Electronic Media | 0.390435 |
| public health partners | 0.319289 |
| extremely transmissible diseases | 0.353363 |
| public health officials | 0.340885 |
| immunization coverage levels | 0.4889 |
| healthy people | 0.342949 |
| Coverage differences | 0.222385 |
| Low vaccination coverage | 0.464853 |
| nationally vaccination coverage | 0.474852 |
| immunization schedule | 0.292889 |
| lower rates | 0.331547 |
| vaccine-preventable diseases | 0.201671 |
|
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| 7772 |
Centers for Disease Control and Prevention |
Html |
en |
Importance of HIV Testing - Health Communication |
The Importance of HIV Testing - Gateway to Health Communication - CDC |
| new HIV infections | 0.734835 |
| sexual orientation | 0.268053 |
| Everett | 0.321819 |
| two-month-old child | 0.262109 |
| at-risk individuals | 0.26155 |
| HIV prevention | 0.420631 |
| risk behaviors | 0.279916 |
| individuals | 0.292156 |
| HIV status | 0.571835 |
| risky behaviors | 0.640548 |
| possible barriers | 0.261163 |
| Historical data | 0.268587 |
| equipment | 0.226542 |
| largest proportion | 0.268508 |
| safer behaviors | 0.292248 |
| likelihood | 0.229301 |
| human immunodeficiency virus | 0.357829 |
| injection drug needles | 0.431912 |
| unprotected sex | 0.332065 |
| heterosexual sex | 0.266311 |
| religious groups | 0.260889 |
| women | 0.242586 |
| new infections | 0.267376 |
| social communities | 0.260933 |
| significant evidence | 0.256848 |
|
| certain regions | 0.262677 |
| United States | 0.402189 |
| African Americans | 0.265345 |
| strongest barriers communities | 0.313098 |
| virus | 0.389757 |
| newly reported AIDS | 0.312388 |
| immunodeficiency syndrome | 0.278515 |
| men | 0.284743 |
| individual knows s/he | 0.327904 |
| ongoing risk | 0.257079 |
| HIV transmission | 0.557936 |
| Sharlene | 0.304066 |
| multiple partners | 0.269644 |
| unknown HIV status | 0.487533 |
| bodily fluids | 0.265537 |
| infected blood | 0.267217 |
| HIV test | 0.489621 |
| active antiretroviral therapies | 0.316713 |
| U.S. population | 0.318059 |
| people | 0.241617 |
| HIV | 0.931682 |
| treatment options | 0.264019 |
| fatal disease | 0.263269 |
| rapid HIV tests | 0.462809 |
|
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| 8230 |
Centers for Disease Control and Prevention |
Html |
en |
Hemophilia, Diagnosis - NCBDDD |
Hemophilia is an inherited bleeding disorder in which the blood does not clot properly. The mission of CDC’s Division of Blood Disorders is to reduce the morbidity and mortality from blood disorders through comprehensive public health practice. |
| medical home model | 0.598279 |
| bleeding | 0.388656 |
| clotting proteins | 0.598108 |
| human plasma proteins | 0.66293 |
| best way | 0.467457 |
| prepared clotting factor | 0.93037 |
| health care reform | 0.611145 |
| clotting factors | 0.587036 |
| complex disorder | 0.489035 |
| treatment products | 0.453048 |
| health care providers | 0.628373 |
| factor concentrates | 0.790239 |
| U.S. Food | 0.455239 |
| recombinant factor | 0.637878 |
| quality medical care | 0.652093 |
| factor replacement products | 0.756955 |
| vein | 0.394521 |
| best choice | 0.472198 |
| Pacific Northwest States | 0.603878 |
| social workers | 0.472428 |
| comprehensive hemophilia | 0.721028 |
| DNA technology | 0.452344 |
| human plasma | 0.762216 |
| current standard | 0.450152 |
| physical therapists | 0.467817 |
|
| hemophilia treatment center | 0.724876 |
| firmer clot | 0.482817 |
| United States | 0.465369 |
| bloodborne viruses | 0.642156 |
| Drug Administration | 0.458259 |
| home means | 0.445054 |
| Commercially prepared factor | 0.758063 |
| fresh frozen plasma | 0.624274 |
| HTC patient | 0.547908 |
| regular basis | 0.447796 |
| body tissues | 0.448584 |
| comprehensive hemophilia care | 0.70569 |
| factor | 0.960019 |
| moderate hemophilia | 0.523695 |
| potential viruses | 0.498906 |
| recombinant factors | 0.453334 |
| main types | 0.464742 |
| freeze-dried product | 0.463207 |
| people | 0.387489 |
| HTC clinician pioneers | 0.687402 |
| important historic story | 0.604347 |
| nasal spray | 0.445765 |
| blood specialists | 0.481054 |
| albumin | 0.382896 |
|
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| 10597 |
Centers for Disease Control and Prevention |
Html |
en |
MMWR News Synopsis: April 3, 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. |
| broader implementation | 0.56205 |
| resource mobilization efforts | 0.665362 |
| control programs | 0.550973 |
| global consumption | 0.564146 |
| new target | 0.548428 |
| 20th century | 0.559652 |
| African region | 0.731339 |
| arbovirus surveillance | 0.577094 |
| effective strategies | 0.544164 |
| global deaths | 0.579786 |
| middle-income countries | 0.586189 |
| measles elimination target | 0.738806 |
| close gaps | 0.539458 |
| WNV surveillance | 0.68996 |
| country levels | 0.657773 |
| prevention measures | 0.543145 |
| tobacco products | 0.855653 |
| Territorial Epidemiologists | 0.744505 |
| HUMAN SERVICES | 0.543341 |
| cigarettes | 0.484169 |
| CDC Media Relations | 0.993972 |
| smoking prevalence | 0.556002 |
| United States | 0.551284 |
| human disease | 0.544421 |
| high-income countries | 0.593277 |
|
| possible arboviral threats | 0.707461 |
| laboratory testing capacity | 0.668872 |
| major cities | 0.552937 |
| percent | 0.562756 |
| current trends | 0.557096 |
| Council | 0.452464 |
| preventable.A modest decline | 0.693589 |
| local health department | 0.683185 |
| measles cases | 0.614806 |
| lifetime users | 0.562752 |
| arboviral activity | 0.573044 |
| population immunity | 0.540968 |
| U.S. DEPARTMENT | 0.543498 |
| high population densities | 0.722559 |
| previous peak morbidity | 0.674246 |
| Sara D. Ramey | 0.695928 |
| mosquito surveillance | 0.560458 |
| follow-up CSTE assessment | 0.669705 |
| routine vaccination | 0.542776 |
| West Nile virus | 0.675503 |
| measles preelimination goal | 0.728672 |
| federal funding | 0.84752 |
| sramey@cste.org | 0.564934 |
| Organization African region | 0.669235 |
|
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| 10830 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | A Model for Training Public Health Workers in Health Policy: the Nebraska Health Policy Academy - CDC |
There is growing recognition that health goals are more likely to be achieved and sustained if programs are complemented by appropriate changes in the policies, systems, and environments that shape their communities. However, the knowledge, skills, and abilities needed to create and implement policy are among the major needs identified by practitioners at both the state and local levels. This article describes the structure and content of the Nebraska Health Policy Academy (the Academy), a 9-month program developed to meet the demand for this training. |
| 3-county health district | 0.578006 |
| public health policies | 0.61127 |
| policy process | 0.584968 |
| health policy training | 0.650145 |
| training programs | 0.581109 |
| additional public health | 0.605111 |
| health department staff | 0.657216 |
| public health leadership | 0.598593 |
| Public health training | 0.612253 |
| C. Public health | 0.598805 |
| Public Health Infrastructure | 0.602575 |
| policy change | 0.661804 |
| policy development project | 0.694507 |
| health policy efforts | 0.648769 |
| sparsely populated state | 0.577902 |
| P. Community health | 0.584611 |
| public health practice | 0.600605 |
| community health | 0.59964 |
| state public health | 0.630545 |
| community health workers | 0.59192 |
| Nebraska Medical Center | 0.644895 |
| public health policy | 0.756994 |
| public health staff | 0.639767 |
| public health workforce | 0.695602 |
| health promotion | 0.594511 |
|
| Health Services Research | 0.580089 |
| policy development | 0.712519 |
| local health department | 0.59371 |
| health policy | 0.783723 |
| public health burden | 0.595186 |
| Policy versus programs | 0.579802 |
| public health professionals | 0.634281 |
| public health goals | 0.622652 |
| public health | 0.962142 |
| public health organizations | 0.606449 |
| public health workers | 0.622056 |
| policy development tools | 0.586515 |
| Health Policy Academy | 0.771475 |
| public health tool | 0.665371 |
| local public health | 0.642222 |
| evidence-based public health | 0.596174 |
| specific policy change | 0.578952 |
| competency-based training program | 0.617035 |
| Health Policy Curriculum | 0.636133 |
| public health problem | 0.613142 |
| Public Health Service | 0.598618 |
| Public Health Collaborative | 0.601818 |
| Nebraska Health Policy | 0.749346 |
| public health action | 0.601585 |
|
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| 11712 |
Centers for Disease Control and Prevention |
Html |
en |
Assessment of Ebola Virus Disease, Health CareInfrastructure, and Preparedness - Four Counties, SoutheasternLiberia, August 2014 |
On October 7, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| county referral hospitals | 0.583814 |
| Ebola surveillance | 0.784863 |
| Ebola emergency preparedness | 0.783566 |
| Ebola infection | 0.730044 |
| additional Ebola cases | 0.752266 |
| Ebola outbreak | 0.721261 |
| case management | 0.602955 |
| Social Welfare | 0.575427 |
| additional public health | 0.576025 |
| health care facility | 0.636718 |
| health care providers | 0.716253 |
| burial practices | 0.654144 |
| Maryland County authorities | 0.567959 |
| personal protective equipment | 0.718696 |
| Global Health | 0.603728 |
| contact tracing | 0.594284 |
| southeastern Liberia | 0.691274 |
| Liberian Ministry | 0.549171 |
| Hand washing stations | 0.621947 |
| Ebola task forces | 0.753735 |
| district health officials | 0.612567 |
| outlying health centers | 0.600297 |
| health care settings | 0.620913 |
| county health office | 0.644504 |
|
| Ebola | 0.932546 |
| Ebola preparedness | 0.709063 |
| Ebola virus disease | 0.829131 |
| health care infrastructure | 0.70608 |
| County Ebola task | 0.787075 |
| Ebola disease case | 0.768968 |
| county health | 0.657985 |
| 6Clinton Health Access | 0.576679 |
| River Gee County | 0.674616 |
| Ebola cases | 0.798797 |
| Gee County health | 0.642855 |
| health care | 0.909239 |
| laboratory-confirmed Ebola | 0.694197 |
| Global Health Protection | 0.586634 |
| Local burial practices | 0.56288 |
| Ebola incident management | 0.744712 |
| Karlyn D. Beer | 0.550752 |
| Ebola surveillance systems | 0.75902 |
| community health care | 0.632324 |
| County health care | 0.655924 |
| Ebola treatment units | 0.739147 |
| Ebola case burden | 0.834078 |
| district health officer | 0.584672 |
| Joseph D. Forrester | 0.655868 |
|
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| 12447 |
Centers for Disease Control and Prevention |
Video |
en |
CDC Disease Detective Camp |
The CDC Disease Detective Camp gives rising high school juniors and seniors exposure to key aspects of the CDC, including basic epidemiology, infectious and chronic disease tracking, public health law, and outbreak investigations. The camp also helps students explore careers in public health.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/cdctv/DiseaseDetectivesCamp |
| CDC Disease Detective | 0.96204 |
|
|
CLICK HERE |
| 14336 |
Centers for Disease Control and Prevention |
Html |
en |
Vital Signs: Preparing for Local Mosquito-Borne Transmissionof Zika Virus - United States, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Wkly Rep. Published | 0.394524 |
| mosquito-borne Zika virus | 0.53538 |
| CDC’s Travelers | 0.391272 |
| 1-day Zika Action | 0.433732 |
| health care provider | 0.408551 |
| effective response plans | 0.399699 |
| Human Services | 0.389178 |
| early pregnancy loss | 0.409303 |
| Zika virus | 0.966598 |
| U.S. Department | 0.389626 |
| possible Zika virus | 0.493696 |
| pregnant women | 0.459306 |
| pregnancy problems | 0.360971 |
| Polen KN | 0.359697 |
| common signs | 0.357907 |
| electronic PDF version | 0.394407 |
| pregnant woman | 0.375075 |
| active Zika virus | 0.631913 |
| up-to-date travel information | 0.401509 |
| early detection | 0.362401 |
| health care providers | 0.400718 |
| male partners | 0.357985 |
| Zika virus disease | 0.58622 |
| U.S. government agencies | 0.427872 |
|
| anticipated emergence | 0.362717 |
| Zika virus transmission | 0.857701 |
| special precautions | 0.355941 |
| Aedes species mosquitoes | 0.417159 |
| vaginal intercourse | 0.362322 |
| original MMWR paper | 0.399515 |
| Widespread Zika virus | 0.535838 |
| Zika virus infection | 0.695791 |
| continental United States | 0.411287 |
| CDC Zika Response | 0.463454 |
| MMWR Morb Mortal | 0.403332 |
| local government officials | 0.402224 |
| MMWR readers | 0.355647 |
| U.S. state | 0.364827 |
| senior state | 0.355914 |
| U.S. Virgin Islands | 0.405205 |
| anal intercourse | 0.36402 |
| Zika preparedness | 0.382432 |
| sexual transmission | 0.387415 |
| virus infection acquisition | 0.4782 |
| mosquito-borne transmission | 0.512209 |
| local jurisdictions | 0.359327 |
| local government partners | 0.422843 |
| interim guidelines | 0.354686 |
|
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Centers for Disease Control and Prevention |
Html |
en |
Data Overview |
null |
| drug overdose deaths | 0.992635 |
| pain | 0.241133 |
| heroin | 0.256486 |
| substances | 0.250985 |
| half | 0.242294 |
| opioid-involved deaths | 0.620624 |
| United States | 0.41919 |
| adults | 0.237861 |
| body | 0.235836 |
|
| brain | 0.235625 |
| intensity | 0.254111 |
| specific receptors | 0.410461 |
| races | 0.237969 |
| men | 0.238149 |
| prescription opioids | 0.757369 |
| opioid.1 Opioids | 0.631175 |
| ages | 0.237717 |
|
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