| 1292 |
Centers for Disease Control and Prevention |
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Prevalence and characteristics of women at risk for an alcohol-exposed pregnancy |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| preterm birth | 0.271044 |
| safe level | 0.266253 |
| Sniezek JE | 0.265823 |
| non-pregnant women | 0.304094 |
| alcohol-exposed pregnancy risk | 0.378011 |
| biggest predictor | 0.268796 |
| binge drinking | 0.388886 |
| policy approaches | 0.264532 |
| drank alcohol | 0.351776 |
| women’s health | 0.292829 |
| pregnancy problems | 0.289416 |
| high response rate | 0.314074 |
| Tracking fetal alcohol | 0.403964 |
| developmental disabilities | 0.338245 |
| wider implementation | 0.264351 |
| prevention programs | 0.266706 |
| alcohol-exposed pregnancy | 0.982244 |
| contraception | 0.369366 |
| alcohol screening | 0.341482 |
| women’s plans | 0.296938 |
| birth control | 0.40023 |
| preconception care | 0.266665 |
| behavioral characteristics | 0.268134 |
| Child Health Journal | 0.444716 |
| fetal alcohol spectrum | 0.785925 |
|
| women | 0.598161 |
| sex partners | 0.335686 |
| United States | 0.526727 |
| early birth | 0.274138 |
| alcohol consumption | 0.343582 |
| FASD-related educational information | 0.308154 |
| cigarette smoking | 0.265804 |
| sudden infant death | 0.447477 |
| white wine | 0.265922 |
| drinking alcohol | 0.361957 |
| infant death syndrome | 0.443544 |
| nationally representative sample | 0.312057 |
| marital status | 0.269218 |
| Family Growth | 0.337564 |
| National Survey | 0.32906 |
| primary care systems | 0.309312 |
| characteristics | 0.274985 |
| reproductive age | 0.365073 |
| birth defects | 0.334376 |
| healthcare provider education | 0.307122 |
| alcohol spectrum disorders | 0.779531 |
| public health problem | 0.32044 |
| drinking behaviors | 0.335571 |
| risk | 0.499345 |
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Centers for Disease Control and Prevention |
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NCEH/ATSDR Epidemic Intelligence Service - Other Opportunities for Graduate Students |
The Epidemic Intelligence Service (EIS) is a unique 2-year postgraduate training program of service and on-the-job learning for health professionals interested in the practice of applied epidemiology. |
| MPEG | 0.271714 |
| occupational health programs | 0.954236 |
| PPT | 0.34131 |
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| graduates | 0.295798 |
| DOC | 0.262405 |
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Centers for Disease Control and Prevention |
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Learn the Signs. Act Early. Homepage |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| health professionals | 0.705975 |
| Signs. | 0.449488 |
| agency | 0.448926 |
| learns | 0.522047 |
| birth | 0.4595 |
| Track your child | 0.68369 |
| acts | 0.48504 |
| families | 0.452056 |
| young child | 0.652246 |
| concern | 0.607293 |
|
| healthy child development | 0.902976 |
| federal effort | 0.72227 |
| partners | 0.451575 |
| moves | 0.494776 |
| speaks | 0.495602 |
| information | 0.452176 |
| Learn | 0.449609 |
| educators | 0.474581 |
| milestones | 0.50975 |
|
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| 8347 |
Centers for Disease Control and Prevention |
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ACE Center Descriptions: University of North Carolina - Violence Prevention - Injury Center |
null |
| 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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2012 Ebola Outbreak Response in Uganda - CDC Global |
null |
| laboratory specialist | 0.252365 |
| CDC | 0.846462 |
| Uganda Ministry | 0.786264 |
| Bundibugyo ebolavirus serology | 0.462324 |
| Sudan ebolavirus | 0.281254 |
| CDC’s Uganda | 0.726478 |
| critical supplies | 0.259372 |
| Kibaale District | 0.294196 |
| Bundibugyo ebolavirus outbreak | 0.67347 |
| World Health Organization | 0.552643 |
| outbreak response | 0.491304 |
| contact tracing | 0.2624 |
| months-long effort | 0.289295 |
|
| Democratic Republic | 0.258783 |
| laboratory equipment | 0.256933 |
| recent Ebola outbreak | 0.905474 |
| Ebola hemorrhagic fever | 0.668193 |
| Viral Hemorrhagic Fever | 0.567675 |
| important role | 0.28042 |
| CDC headquarters | 0.550751 |
| VHF laboratory | 0.286225 |
| non-federal site | 0.27479 |
| DRC Ministry | 0.298269 |
| Uganda office | 0.690681 |
| confirmed cases | 0.334488 |
|
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Centers for Disease Control and Prevention |
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Ebola Outbreaks 2000-2014 |
null |
| Ebola-Reston virus | 0.561935 |
| CDC | 0.658821 |
| Virus Research Institute | 0.599404 |
| ebola hemorrhagic fever | 0.91966 |
| Public Health Agency | 0.489592 |
| CDC’s Viral | 0.50274 |
| ebola virus | 0.830709 |
| Ebola outbreak | 0.606618 |
| Ebola Factsheet | 0.495714 |
| Uganda Viral Research | 0.514521 |
| CDC Special Pathogens | 0.512651 |
| central Uganda | 0.479193 |
| World Health Organization | 0.766265 |
| Likati health zone | 0.497006 |
| CDC’s Special | 0.489408 |
| Democratic Republic | 0.535764 |
| hemorrhagic fever syndrome | 0.497202 |
| recent Ebola outbreak | 0.586855 |
| ebola virus disease | 0.649094 |
| Uganda Virus Research | 0.640623 |
| laboratory diagnostic test | 0.481059 |
| positive Ebola virus | 0.565956 |
| public health experts | 0.493299 |
| international public health | 0.507404 |
| Health Web site | 0.477803 |
|
| CDC Outbreak Information | 0.640589 |
| DRC Ministry | 0.478146 |
| CDC’s field | 0.494274 |
| page | 0.496854 |
| Ebola virus infection | 0.573342 |
| Uganda Ministry | 0.668445 |
| Special Pathogens Branch | 0.57217 |
| CDC Viral Hemorrhagic | 0.559882 |
| Communicable Disease Surveillance | 0.549408 |
| Latest CDC Outbreak | 0.638497 |
| Ebola virus strains | 0.552457 |
| contemporaneous Ebola outbreak | 0.584396 |
| Africa Ebola outbreak | 0.605009 |
| CDC Travelers | 0.482539 |
| Disease Diagnostic Laboratory | 0.484491 |
| public health | 0.560415 |
| hemorrhagic fever outbreak | 0.543899 |
| cases | 0.540829 |
| Ebola-Reston virus infections | 0.493571 |
| local health officials | 0.481721 |
| African Health Care | 0.47914 |
| viral hemorrhagic fevers | 0.527934 |
| West Africa | 0.485881 |
| response page | 0.480613 |
|
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| 12671 |
Centers for Disease Control and Prevention |
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en |
H1N1 Vaccine Questions? ...ask Dr. Anne |
Chief Science Officer Dr. Anne Schuchat answers parents questions about the 2009 H1N1 flu and the vaccine to protect against it. Children aged six months through 24 years are recommended to receive H1N1 flu vaccine. Learn more about it, and how you can protect your family with this vaccine.
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/ |
|
| Vaccine Questions | 0.968841 |
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Centers for Disease Control and Prevention |
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Pregnant? Get a Flu Shot! | CDC Features |
If you're pregnant, a flu shot is your best protection against serious flu illness. A flu shot can protect pregnant women, their unborn babies, and even the baby after birth. |
| prescription antiviral drugs | 0.290624 |
| brothers | 0.220957 |
| babysitters | 0.227641 |
| important step | 0.255172 |
| certain pregnancy complications | 0.301012 |
| pregnant women | 0.860004 |
| best protection | 0.26267 |
| pregnant woman | 0.319978 |
| flu vaccination | 0.480628 |
| possible contamination | 0.250512 |
| single-dose units | 0.250857 |
| single-dose flu shots | 0.449809 |
| flu illness | 0.485574 |
| birth | 0.237323 |
| additional way | 0.29768 |
| trimester | 0.226225 |
| high risk | 0.255826 |
| thimerosal-free influenza vaccine | 0.293502 |
| flu symptoms | 0.435132 |
| doses | 0.220695 |
| baby’s caregivers | 0.296487 |
| United States | 0.293146 |
| grandparents | 0.223947 |
| rigorous scientific research | 0.292413 |
| injectable influenza vaccine | 0.296797 |
|
| flu vaccine | 0.474997 |
| babies | 0.233822 |
| flu complications | 0.465181 |
| safe way | 0.249534 |
| flu shots | 0.685255 |
| flu antibodies | 0.431868 |
| KB | 0.223669 |
| Recent studies | 0.253104 |
| health care | 0.250735 |
| multi-dose vials | 0.295398 |
| greater chance | 0.256874 |
| everyday preventive actions | 0.287007 |
| sisters | 0.220951 |
| flu | 0.926611 |
| thimerosal-containing vaccines | 0.249941 |
| doctor | 0.220495 |
| nasal spray vaccine | 0.304058 |
| flu shot | 0.749584 |
| U.S. market | 0.250363 |
| short video | 0.260829 |
| close contacts | 0.303157 |
| flu season | 0.410414 |
| severe illness | 0.319909 |
| thimerosal-free flu shot | 0.459815 |
|
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Centers for Disease Control and Prevention |
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Outcomes of Interorganizational Networks in Canada for Chronic Disease Prevention: Insights From a Concept Mapping Study, 2015 |
Preventing Chronic Disease (PCD) is a peer-reviewed electronic journal established by the National Center for Chronic Disease Prevention and Health Promotion. PCD provides an open exchange of information and knowledge among researchers, practitioners, policy makers, and others who strive to improve the health of the public through chronic disease prevention. |
| intermediate outcomes | 0.505848 |
| important outcomes | 0.480462 |
| network level | 0.436155 |
| intersectoral engagement cluster | 0.435264 |
| CDP population health | 0.501411 |
| public network performance | 0.449347 |
| network performance | 0.496109 |
| interorganizational networks | 0.463485 |
| ultimate outcomes | 0.445854 |
| population-based CDP networks | 0.478849 |
| network outcome-monitoring strategies | 0.447011 |
| feasible outcome | 0.43575 |
| population health | 0.833209 |
| particular outcome levels | 0.432076 |
| service delivery networks | 0.45336 |
| interorganizational CDP networks | 0.546795 |
| Provan KG | 0.461095 |
| network evaluation strategies | 0.432571 |
| network outcomes | 0.83451 |
| network performance frameworks | 0.433862 |
| numerous network evaluation | 0.45077 |
| network cohesion | 0.551721 |
| direct network members | 0.437735 |
| long-term outcomes | 0.571899 |
|
| chronic disease prevention | 0.516874 |
| network evaluation | 0.478009 |
| network structures | 0.434443 |
| network members | 0.566526 |
| better health outcomes | 0.493425 |
| study | 0.441978 |
| concept mapping results | 0.455244 |
| network evolution | 0.512672 |
| high-performing CDP networks | 0.479343 |
| network activity | 0.435059 |
| network member organizations | 0.458773 |
| population health prevention | 0.435912 |
| public health | 0.668736 |
| health care | 0.452092 |
| concept mapping | 0.645903 |
| contemporary network practice | 0.45823 |
| long-term network outcomes | 0.540323 |
| population health focus | 0.455587 |
| longer-term outcomes | 0.463341 |
| population health outcomes | 0.596569 |
| practical network evaluation | 0.432404 |
| population health impact | 0.535255 |
| intersectoral engagement | 0.783091 |
| CDP networks | 0.925577 |
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CROI Select CDC Studies of Interest | 2016 | Newsroom | NCHHSTP |
Your Connection to the Latest HIV/AIDS, Hepatitis, STD and TB News at CDC |
| awareness levels | 0.379991 |
| Hynes Convention Center | 0.565626 |
| outpatient visits | 0.392657 |
| Michelle Van Handel | 0.432543 |
| annual check-ups | 0.433162 |
| white men | 0.415827 |
| routine doctor visit | 0.611966 |
| health insurance coverage | 0.559356 |
| testing opportunity | 0.388809 |
| routine HIV testing | 0.85335 |
| adult men | 0.380553 |
| routine doctor visits | 0.568345 |
| regular doctor visits | 0.455741 |
| highest percent | 0.42655 |
| current gaps | 0.456209 |
| high risk | 0.381581 |
| CDC Contact | 0.47083 |
| Session P-X3 | 0.44861 |
| additional insight | 0.377016 |
| new infections | 0.38428 |
| United States Preventive | 0.439294 |
| United States | 0.448429 |
| HIV testing recommendation | 0.555411 |
| HIV tests | 0.499074 |
| percent | 0.46968 |
|
| HIV testing rates | 0.623687 |
| Latino men | 0.502578 |
| highest percentage | 0.372409 |
| local health | 0.376902 |
| non-Hispanic whites | 0.378487 |
| National Ambulatory Medical | 0.428524 |
| routine health care | 0.468312 |
| CDC studies | 0.422464 |
| black men | 0.416194 |
| individual characteristics | 0.378172 |
| U.S. adults | 0.376334 |
| free HIV testing | 0.572978 |
| HIV testing recommendations | 0.5657 |
| Services Task Force | 0.439653 |
| regional variation | 0.37668 |
| high prevalence | 0.372426 |
| medical care | 0.451932 |
| people | 0.396406 |
| bisexual men | 0.394887 |
| routine HIV screening | 0.619667 |
| Hall A/B | 0.442706 |
| HIV screening | 0.731348 |
| HIV testing | 0.92358 |
| white counterparts | 0.42368 |
|
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