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Centers for Disease Control and Prevention |
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Measles Is Serious: Take Care Before and After Travel | CDC Features |
Keep your family safe when traveling overseas. Measles is very contagious and can cause serious illness, even death. Get vaccinated before you go. Watch your health when you return. |
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Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - March 9, 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. |
| provisional 4-week totals | 0.782161 |
| Mortality Tables | 0.475971 |
| equine encephalitis virus | 0.618611 |
| Mortality Weekly Report | 0.475697 |
| Viral hemorrhagic fever¶¶¶ | 0.458425 |
| provisional cases | 0.687778 |
| Hantavirus pulmonary syndrome§ | 0.462829 |
| Staphylococcus aureus§ | 0.460592 |
| acute hepatitis | 0.498823 |
| 2011-12 influenza season | 0.474165 |
| Cum | 0.455214 |
| noncholera Vibrio species | 0.458944 |
| influenza A virus | 0.479586 |
| National Center | 0.583716 |
| CDC Home CDC | 0.483932 |
| Hemolytic uremic syndrome | 0.464457 |
| California serogroup virus | 0.50401 |
| meningococcal disease | 0.54203 |
| historical data | 0.533177 |
| Influenza Division | 0.455832 |
| Ñ?ЛП
Notifiable Diseases | 0.537868 |
| Cumulative year-to-date counts | 0.454946 |
| 2009 pandemic | 0.512609 |
| Respiratory Diseases | 0.448543 |
|
| NN | 0.451242 |
| United States | 0.946237 |
| Vancomycin-resistant Staphylococcus aureus§ | 0.45556 |
| novel influenza | 0.548623 |
| I. Provisional cases | 0.526557 |
| 5-year weekly average†| 0.484495 |
| notifiable diseases | 0.850808 |
| Vancomycin-intermediate Staphylococcus aureus§ | 0.455009 |
| Eastern equine encephalitis | 0.475992 |
| pandemic influenza | 0.520614 |
| measles cases | 0.456918 |
| Influenza-associated pediatric mortality§ | 0.45581 |
| viral hemorrhagic fever | 0.446859 |
| current 4-week period | 0.493102 |
| Western equine encephalitis | 0.475312 |
| Polio virus Infection | 0.465653 |
| Total case counts | 0.44837 |
| notifiable disease reports | 0.754773 |
| current 4-week total | 0.491798 |
| Vector-Borne Infectious Diseases | 0.462348 |
| TABLE I. | 0.478684 |
| dengue hemorrhagic fever | 0.450269 |
| subsequent 4-week periods | 0.476896 |
| West Nile virus | 0.461676 |
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Centers for Disease Control and Prevention |
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Binge Drinking: A Serious, Under-Recognized Problem Among Women and Girls - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| high school | 0.904629 |
| alcohol retailer compliance | 0.574505 |
| retail sales | 0.478556 |
| binge drinking | 0.580326 |
| experienced drivers | 0.497504 |
| risky behavior | 0.496202 |
| alcoholic drinks | 0.477263 |
| Youth Risk Behavior | 0.531787 |
| *High school students | 0.555009 |
| minimum legal drinking | 0.899756 |
| risky behaviors | 0.487194 |
| alcohol | 0.640778 |
| fatal crash | 0.478911 |
| high school teens | 0.755865 |
| *Blood alcohol concentration | 0.577768 |
| MLDA laws | 0.478578 |
| legal drinking age | 0.984814 |
| risky driving | 0.502089 |
| major threat | 0.48027 |
| Model safe driving | 0.544799 |
| teen drivers | 0.695588 |
| driver licensing systems | 0.662147 |
| legal limit | 0.477887 |
| parents | 0.484413 |
| parent-teen driving agreements | 0.554308 |
|
| Fewer teens | 0.559808 |
| GDL laws | 0.490949 |
| Obey speed limits | 0.530487 |
| teens | 0.862601 |
| GDL systems | 0.493033 |
| Research | 0.481934 |
| adult drivers | 0.485608 |
| cell phone | 0.475603 |
| parent-teen driving agreement | 0.672095 |
| high school drinks | 0.568403 |
| times | 0.482767 |
| blood alcohol concentration | 0.600124 |
| Zero tolerance laws | 0.543172 |
| new drivers | 0.654645 |
| fatal crashes | 0.488129 |
| risky conditions | 0.492753 |
| teen drinking | 0.567248 |
| Screen teens | 0.542912 |
| new teen drivers | 0.551977 |
| safe drivers | 0.483838 |
| young drivers | 0.5675 |
| parental involvement | 0.558967 |
| tolerance laws | 0.629841 |
| new driver privileges | 0.539796 |
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Centers for Disease Control and Prevention |
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West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus - Pregnancy Risk Assessment Monitoring System - Reproductive Health |
West Virginia: Using PRAMS Data to Improve Care for Women with Gestational Diabetes Success Story: Gestational Diabetes Mellitus, Pregnancy Risk Assessment Monitoring System |
| glucose levels | 0.657146 |
| state agencies | 0.572363 |
| GDM | 0.972697 |
| pregnant women | 0.645477 |
| pregnancy complication | 0.57975 |
| health care providers | 0.640103 |
| health care professionals | 0.643537 |
| thorough medical documentation | 0.629641 |
| proper care | 0.592789 |
| blood pressure | 0.632153 |
| data sources | 0.576784 |
| pilot program | 0.569411 |
| Gestational Diabetes Mellitus | 0.698675 |
| uncontrolled GDM | 0.769963 |
| multiple organ failure | 0.634122 |
| data quality | 0.630857 |
| postpartum care | 0.590466 |
| large infant | 0.576171 |
| hospital procedures | 0.569039 |
| women | 0.653597 |
| data validation | 0.581092 |
| WV women | 0.587173 |
| strengthen patient education | 0.62657 |
| Early detection | 0.577505 |
| West Virginia | 0.713871 |
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| policy changes | 0.568113 |
| gestational diabetes | 0.82829 |
| document follow-up visits | 0.644363 |
| pregnancy complications | 0.577638 |
| rapid rise | 0.570434 |
| data accuracy | 0.580031 |
| GDM follow-up procedures | 0.834918 |
| Better Data | 0.583627 |
| improve documentation | 0.576113 |
| GDM care process | 0.830256 |
| birth certificate | 0.568569 |
| 1-hour glucose test | 0.639148 |
| data collection forms | 0.633267 |
| 3-hour follow-up test | 0.654558 |
| department store gift | 0.621137 |
| follow-up care compliance | 0.662827 |
| maternal high blood | 0.639443 |
| future pregnancies | 0.577472 |
| infant jaundice | 0.578928 |
| Better Care | 0.58909 |
| hospital charts | 0.570948 |
| recurrent GDM | 0.763357 |
| follow-up care | 0.669702 |
| prenatal screening | 0.571501 |
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Centers for Disease Control and Prevention |
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New Study Highlights Risk Factors for Human Infection with H7N9 Bird Flu |
New Study Highlights Risk Factors for H7N9 Bird Flu Disease - CDC |
| H7N9 illness | 0.531621 |
| H7N9 viruses | 0.507641 |
| H7N9 infections | 0.618684 |
| Clinical Infectious Diseases | 0.563788 |
| avian influenza | 0.605006 |
| controls | 0.449135 |
| medical history | 0.496783 |
| data | 0.435487 |
| direct poultry contact | 0.681738 |
| human cases | 0.486393 |
| health conditions | 0.4986 |
| poultry consumption | 0.611422 |
| health behaviors | 0.495762 |
| laboratory-confirmed H7N9 infection | 0.631958 |
| rare circumstances | 0.48756 |
| poultry contact | 0.815517 |
| greater risk | 0.572578 |
| new study | 0.508095 |
| immunosuppressive medications | 0.507317 |
| protective equipment | 0.492034 |
| case-control design | 0.506994 |
| backyard domestically-raised poultry | 0.690719 |
| H7N9 virus | 0.62773 |
| illness onset | 0.509556 |
|
| China CDC experts | 0.604098 |
| obstructive pulmonary disease | 0.586164 |
| sustained person-to-person spread | 0.572287 |
| poultry exposure | 0.619923 |
| United States | 0.491244 |
| specific risk factors | 0.602524 |
| primary source | 0.509345 |
| decreased risk | 0.501443 |
| Key findings | 0.5072 |
| infected poultry | 0.596362 |
| mild illness | 0.495831 |
| H7N9 infection | 0.953654 |
| hand washing | 0.587074 |
| poultry | 0.838903 |
| host factors | 0.492413 |
| exposure risks | 0.519562 |
| contaminated environments | 0.487282 |
| people | 0.455775 |
| live bird markets | 0.758428 |
| human infections | 0.607303 |
| intense contact | 0.496425 |
| severe respiratory illness | 0.566765 |
| information | 0.452759 |
| Chinese provinces | 0.499073 |
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Centers for Disease Control and Prevention |
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Key Findings: Long Term Outcomes in Children with Congenital Heart Disease |
null |
| healthcare providers | 0.281316 |
| Health Consortium | 0.272799 |
| Reefhuis J. Long | 0.325548 |
| developmental disability | 0.269848 |
| illnesses | 0.240756 |
| child’s life | 0.269402 |
| National Health Interview | 0.447567 |
| Prevention Study | 0.267217 |
| National Birth Defects | 0.370968 |
| unique collaboration | 0.263673 |
| Birth Defects Research | 0.370482 |
| health issues | 0.277584 |
| worse health | 0.361886 |
| medical doctor | 0.272736 |
| children | 0.373408 |
| technical assistance | 0.267013 |
| congenital heart disease | 0.904589 |
| CDC funds | 0.340524 |
| Attention-Deficit/Hyperactivity Disorder | 0.277769 |
| health conditions | 0.292577 |
| Term Outcomes | 0.267448 |
| autism spectrum disorder | 0.328973 |
| large studies | 0.267266 |
| Congenital Heart Public | 0.375676 |
|
| developmental disabilities | 0.271471 |
| visit https://www.cdc.gov/ncbddd/heartdefects/ | 0.266266 |
| Birth Defects Study | 0.370621 |
| heart defects | 0.318366 |
| new study | 0.283058 |
| CDC researchers | 0.325654 |
| daily life | 0.281587 |
| Health Interview Survey | 0.450449 |
| State programs | 0.264841 |
| birth defects | 0.460466 |
| physical activity | 0.270875 |
| American Heart Association | 0.33735 |
| special equipment | 0.345083 |
| Health status | 0.282752 |
| healthcare services | 0.280993 |
| Atlanta Congenital Defects | 0.403874 |
| population-based state tracking | 0.323838 |
| ear infections | 0.270205 |
| prescription medication | 0.267355 |
| Evaluate Pregnancy | 0.266438 |
| CHD | 0.69306 |
| intellectual disability | 0.401745 |
| e.g. | 0.240342 |
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Centers for Disease Control and Prevention |
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Information for Specific Groups |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Microsoft PowerPoint file | 0.654714 |
| Birth Defects | 0.693124 |
| Microsoft Word file | 0.658239 |
| Zika Guidance Guidance | 0.768002 |
| Zika Test Specimens | 0.722269 |
| Zika Partner | 0.646312 |
| CDC Zika Update | 0.775868 |
| Congenital Microcephaly Case | 0.659371 |
| Zika travel | 0.650281 |
| Pregnant Women | 0.781232 |
| Zika Virus Test | 0.732666 |
| Microsoft Excel file | 0.653523 |
| Zika Clinician Outreach | 0.701804 |
| Communication Planning Guide | 0.646948 |
| Diagnostic Tests | 0.640456 |
| Tissue Collection Centers | 0.738489 |
| page options Skip | 0.675975 |
| Surveillance Zika Cases | 0.731546 |
| Zika All Countries | 0.66763 |
| different file formats | 0.65639 |
| Congenital Zika Syndrome | 0.828676 |
| Email Address Enter | 0.770498 |
| CDC Activities | 0.657513 |
| Apple Quicktime file | 0.65021 |
| Specific Groups | 0.720468 |
|
| Address Enter Email | 0.770464 |
| Local Health Departments | 0.740582 |
| CDC A-Z | 0.678847 |
| Pregnancy Pregnant Women | 0.691991 |
| Adobe PDF file | 0.651396 |
| Zika Vector Control | 0.733775 |
| email address | 0.801089 |
| Search Form Controls | 0.791915 |
| Children Zika | 0.66127 |
| zika virus | 0.927961 |
| Transmission Zika | 0.665846 |
| Enter Email Address | 0.77043 |
| Congenital Zika Infection | 0.728544 |
| Search Controls | 0.665553 |
| Response Planning Tips | 0.640671 |
| Zika announcements | 0.648312 |
| CDC Deployments | 0.661449 |
| Insecticide Resistance Testing | 0.64834 |
| Zika Overview | 0.675517 |
| Zika Prevention Kit | 0.735423 |
| Zika Widgets | 0.655857 |
| Additional Resources | 0.655856 |
| Email Updates | 0.653239 |
| Pregnant Women Effects | 0.672212 |
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Postnatal Management of Pregnant Women with Laboratory Evidence of Confirmed or Probable Zika Virus Infection |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| file | 0.225813 |
| Probable Zika Virus | 0.964064 |
| Laboratory Evidence | 0.553882 |
| Pregnant Women | 0.612474 |
|
| Confirmed | 0.399359 |
| Postnatal Management | 0.656144 |
| Infants Born | 0.609771 |
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HAN Archive - 00398|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| yellow areas | 0.323135 |
| CDC Health Alert | 0.261325 |
| CDC | 0.294389 |
| adverse pregnancy outcomes | 0.281054 |
| urine Zika virus | 0.293007 |
| symptom onset | 0.357378 |
| travel recommendations | 0.251761 |
| Zika virus | 0.985873 |
| antibody test result | 0.298602 |
| Zika virus infection | 0.575173 |
| recommendations | 0.304351 |
| Zika virus immunoglobulin | 0.293199 |
| red areas | 0.377568 |
| local transmission | 0.33373 |
| possible Zika virus | 0.385561 |
| urine RNA NAT | 0.274389 |
| pregnant women | 0.838227 |
| IgM antibody test | 0.390389 |
| significant risk | 0.274989 |
| ongoing risks | 0.298602 |
| one-square-mile area | 0.251136 |
| active Zika virus | 0.450522 |
| RNA NAT | 0.306117 |
| ongoing risk | 0.253551 |
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| symptomatic pregnant women | 0.335123 |
| epidemiologic link | 0.348823 |
| CDC’s Zika | 0.252644 |
| Zika virus exposure | 0.379337 |
| Zika virus RNA | 0.327086 |
| ongoing Zika virus | 0.301294 |
| Zika virus disease | 0.375868 |
| Miami-Dade County | 0.611192 |
| RNA NAT testing | 0.300336 |
| possible exposure | 0.440993 |
| Zika virus transmission | 0.68645 |
| Zika virus IgM | 0.303485 |
| Zika cautionary areas | 0.271327 |
| asymptomatic pregnant women | 0.362194 |
| RNA NAT result | 0.272583 |
| Zika active transmission | 0.275415 |
| maternal Zika virus | 0.29613 |
| risk | 0.313535 |
| pregnant sex partner | 0.28304 |
| Healthcare providers | 0.274687 |
| greater likelihood | 0.274377 |
| Yellow Area Designation | 0.253887 |
| yellow area | 0.287559 |
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Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| positive predictive value | 0.491735 |
| Escambia County | 0.615443 |
| reference treponemal testing | 0.597297 |
| laboratory test agreement | 0.517467 |
| original MMWR paper | 0.490543 |
| Public Health Laboratories | 0.506006 |
| syphilis tests | 0.573674 |
| treponemal testing | 0.626468 |
| reference treponemal test | 0.835315 |
| SHC | 0.938589 |
| reactive SHCs | 0.515912 |
| secondary syphilis | 0.564121 |
| traditional testing algorithm | 0.508601 |
| serum dilution | 0.498562 |
| prior syphilis infection | 0.634934 |
| syphilis rates | 0.5905 |
| Florida Department | 0.580047 |
| public health | 0.61773 |
| rapid plasma reagin | 0.49365 |
| Health STD clinic | 0.546663 |
| venous blood specimen | 0.49928 |
| reactive EIA | 0.587042 |
| nonreactive SHC | 0.661706 |
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| early latent syphilis | 0.60996 |
| nonlaboratorian health care | 0.531659 |
| reactive tests | 0.520064 |
| public health programs | 0.534727 |
| state laboratory | 0.538273 |
| Improvement Amendments waiver | 0.505698 |
| sexually transmitted disease | 0.499284 |
| treponemal test results | 0.613006 |
| Syphilis Health Check | 0.665346 |
| reactive SHC | 0.848561 |
| rapid treponemal syphilis | 0.746142 |
| state public health | 0.603817 |
| qualitative enzyme immunoassay | 0.496599 |
| routine syphilis | 0.571627 |
| first-ever Clinical Laboratory | 0.51876 |
| nontreponemal test result | 0.516992 |
| reactive SHC patients | 0.767799 |
| reactive SHC results | 0.75028 |
| reactive SHC tests | 0.752531 |
| public health laboratory | 0.60522 |
| reactive nontreponemal test | 0.582936 |
| primary syphilis | 0.641973 |
| reactive RPR | 0.633507 |
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