| 1136 |
Centers for Disease Control and Prevention |
Html |
en |
Early Identification and Linkage to Care of Persons withChronic Hepatitis B Virus Infection - Three U.S. Sites,2012-2014 |
Geoff A. Beckett, MPH1, Gilberto Ramirez, MBA1, Aaron Vanderhoff2, Kim Nichols, ScM2, Sara M. Chute, MPP3, David L. |
| test results | 0.451968 |
| patient navigation services | 0.637066 |
| foreign-born persons | 0.389273 |
| clinic-based HBV testing | 0.279128 |
| HBV-directed medical care | 0.257372 |
| high HBV infection | 0.31811 |
| community-based organizations | 0.221132 |
| HBV medical management | 0.299096 |
| medical care | 0.379126 |
| newly arrived refugees | 0.24282 |
| chronic HBV infection | 0.811707 |
| persons | 0.648349 |
|
| community-based testing sites | 0.236501 |
| African Services Committee | 0.23522 |
| medical evaluation | 0.435729 |
| San Diego | 0.318698 |
| HBV infection status | 0.315984 |
| higher HBV infection | 0.417644 |
| HBV infection | 0.994087 |
| medical visit | 0.428653 |
| HBV testing | 0.430992 |
| HBV infection prevalence | 0.619286 |
| HBsAg-positive persons | 0.344662 |
|
CLICK HERE |
| 1292 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 6753 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - South Africa - Partners |
CDC partners in South Africa with government and parastatal agencies, private institutions, universities and non-governmental organizations to improve the country’s public health foundation, to prevent transmission of HIV, to provide care and treatment for those who are already infected with HIV, and to strengthen laboratory capacity.
|
| open day education | 0.417482 |
| treatment | 0.235002 |
| endorsement | 0.259954 |
| Aurum Institute | 0.502929 |
| open day event | 0.411542 |
| scientific expertise | 0.462626 |
| video | 0.234316 |
| dynamic partnership | 0.439121 |
| CAPRISA | 0.26903 |
| TB research | 0.453785 |
| successful door-to-door campaign | 0.614344 |
| Content source | 0.427024 |
| Eastern Cape | 0.411186 |
| HHS | 0.265292 |
| Notice | 0.239596 |
| effective partnerships | 0.466837 |
| action | 0.238579 |
| guidelines | 0.235829 |
| greater gains | 0.482516 |
| results | 0.235924 |
| Siyayinqoba Beat | 0.415708 |
| Center | 0.236838 |
|
| TB/HIV Care Association | 0.72292 |
| lives | 0.234945 |
| diseases | 0.235656 |
| PEPFAR | 0.235249 |
| services | 0.238518 |
| Centre | 0.236173 |
| Alfred Nzo region | 0.592626 |
| spread | 0.236578 |
| Clinic | 0.237774 |
| Mandela | 0.272447 |
| non-federal site | 0.453467 |
| co-infected patients | 0.426472 |
| TB/HIV screening | 0.531558 |
| strengths | 0.256142 |
| AIDS Programme | 0.637849 |
| science | 0.238619 |
| enhances service delivery | 0.662297 |
| South Africa | 0.990285 |
| Male Sexual Health | 0.645288 |
| testing activities | 0.417008 |
| CDC South Africa | 0.855119 |
|
CLICK HERE |
| 7344 |
Centers for Disease Control and Prevention |
Html |
en |
H3N2v Guidance for Public Health |
H3N2v Information for Public Health - CDC |
| list Skip | 0.781947 |
| public health laboratorians | 0.6148 |
| page options Skip | 0.901895 |
| public health officials | 0.634978 |
| navigation Skip | 0.794716 |
| human infections | 0.464607 |
| identification | 0.240214 |
| guidance | 0.320739 |
|
| interpretation | 0.25216 |
| investigation | 0.240497 |
| information | 0.269776 |
| links | 0.241485 |
| laboratory data | 0.437346 |
| surveillance | 0.256149 |
| state | 0.240962 |
|
CLICK HERE |
| 7524 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| graduates | 0.295798 |
| DOC | 0.262405 |
|
CLICK HERE |
| 8912 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Information Statement: Typhoid - Vaccines - CDC |
Typhoid Vaccine Information Statement |
| Page | 0.318161 |
| nearest hospital | 0.259514 |
| severe allergies | 0.354925 |
| severe allergic reaction | 0.601775 |
| children | 0.226412 |
| Routine typhoid vaccination | 0.477853 |
| vomiting | 0.227622 |
| fast heartbeat | 0.260463 |
| Typhoid causes | 0.443586 |
| severe allergy | 0.351246 |
| Vaccine Adverse Event | 0.424586 |
| behavior changes | 0.259915 |
| typhoid vaccine | 0.925476 |
| VAERS website | 0.274774 |
| Stomach pain | 0.259193 |
| dose | 0.365808 |
| booster dose | 0.34469 |
| typhoid carrier | 0.418939 |
| person | 0.258759 |
| previous dose | 0.355734 |
| Laboratory workers | 0.267868 |
| difficulty breathing | 0.257886 |
| lukewarm drink | 0.266178 |
| capsule | 0.224745 |
|
| United States | 0.268717 |
| vaccines | 0.228874 |
| medical advice | 0.264537 |
| shot | 0.224868 |
| weakness | 0.231302 |
| Salmonella Typhi bacteria | 0.329863 |
| world | 0.227071 |
| close contact | 0.265821 |
| vaccine time | 0.417275 |
| Current Edition Date | 0.337314 |
| severe reaction | 0.359256 |
| stomach pains | 0.277533 |
| disease | 0.24237 |
| Salmonella Typhi | 0.358581 |
| people | 0.306242 |
| doctor | 0.294993 |
| component | 0.225148 |
| Live typhoid vaccine | 0.664367 |
| high fever | 0.279079 |
| risk | 0.236542 |
| headache | 0.247111 |
| Oral typhoid vaccine | 0.564726 |
| age | 0.226393 |
| Typhoid strikes | 0.429404 |
|
CLICK HERE |
| 11822 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 12671 |
Centers for Disease Control and Prevention |
Video |
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 |
|
CLICK HERE |
| 13876 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 13892 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |