| 1187 |
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Tick-Borne Encephalitis Among U.S. Travelers to Europe and Asia --- 2000--2009 |
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. |
| arboviral diseases | 0.76758 |
| normal mental status | 0.722793 |
| possible arboviral diseases | 0.7227 |
| mental status changes | 0.72658 |
| multiple tick bites | 0.971829 |
| United States | 0.832536 |
| mental status | 0.850142 |
| York City hospital | 0.736606 |
| empiric antibiotics | 0.734822 |
| Arboviral Diseases Br | 0.724825 |
| TBEV IgM | 0.998406 |
| fever | 0.781386 |
| Eastern TBEV subtype | 0.738772 |
| bacterial cultures | 0.784538 |
| Brain MRI | 0.788783 |
| North American travelers | 0.730798 |
| New York City | 0.934235 |
| severe encephalitis | 0.793383 |
| Health-care providers | 0.727361 |
| neurologic sequelae | 0.858878 |
| State health officials | 0.734111 |
| hospital | 0.785319 |
| inactivated TBEV vaccines | 0.730725 |
|
| TBEV-specific neutralizing antibodies | 0.759082 |
| numerous tick bites | 0.753395 |
| enterovirus PCR | 0.725818 |
| acute TBE cases | 0.930225 |
| POWV IgM | 0.991212 |
| unknown etiology | 0.925598 |
| virus-specific neutralizing antibody | 0.730856 |
| admission | 0.834316 |
| enterovirus polymerase chain | 0.727233 |
| serologic tests | 0.951433 |
| elevated protein | 0.785816 |
| unexplained encephalitis | 0.75292 |
| TBE vaccines | 0.809921 |
| POWV IgM antibody | 0.772946 |
| CSF specimen | 0.750853 |
| encephalitis | 0.89278 |
| monophasic illness | 0.793743 |
| encephalitis virus antibodies | 0.792707 |
| plaque-reduction neutralization tests | 0.736809 |
| acute encephalitis | 0.730485 |
| Tick-borne encephalitis virus | 0.815035 |
| previously healthy man | 0.947197 |
| nearly complete recoveries | 0.723442 |
|
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| 1323 |
Centers for Disease Control and Prevention |
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Notes from the Field: Measles in a Micronesian Community -King County, Washington, 2014 |
Kristen Wendorf, MD1,2 (Author affiliations at end of text). |
| Pierce counties | 0.281129 |
| Micronesian community liaison | 0.361511 |
| measles elimination | 0.573017 |
| contact investigations | 0.277671 |
| U.S. recommendations | 0.277709 |
| unvaccinated persons | 0.27865 |
| Health care providers | 0.339932 |
| unvaccinated travelers | 0.289908 |
| Local public health | 0.341142 |
| Federated States | 0.451465 |
| local population | 0.271943 |
| contagious viral disease | 0.372974 |
| Additional exposures | 0.278862 |
| additional measles cases | 0.617794 |
| contact tracing | 0.274333 |
| patients | 0.238903 |
| family structures | 0.278683 |
| written vaccination record | 0.388968 |
| Corresponding author | 0.275165 |
| Kristen Wendorf | 0.373872 |
| continuous transmission | 0.281577 |
| Measles outbreaks | 0.524885 |
| febrile rash illness | 0.351852 |
| 1Epidemic Intelligence Service | 0.340136 |
|
| ongoing outbreak | 0.307197 |
| acute care facility | 0.339769 |
| community members | 0.286024 |
| death | 0.229726 |
| United States | 0.349457 |
| 2Public Health–Seattle | 0.276245 |
| unvaccinated contacts | 0.291352 |
| ongoing measles | 0.622895 |
| Washington | 0.226693 |
| measles cases | 0.729597 |
| previous measles vaccination | 0.641032 |
| extensive community outreach | 0.34693 |
| local Micronesian community | 0.368032 |
| community-based vaccination clinics | 0.381075 |
| community vaccination clinics | 0.395613 |
| highest number | 0.284893 |
| Author affiliations | 0.292173 |
| Western Hemisphere | 0.286447 |
| routine vaccinations | 0.274041 |
| measles-containing vaccine | 0.280117 |
| interruption | 0.218547 |
| medical facilities | 0.278009 |
| King County | 0.353409 |
| measles | 0.915742 |
|
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Centers for Disease Control and Prevention |
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MMWR News Summaries |
MMWR News Summaries |
| Microsoft PowerPoint file | 0.659677 |
| Archive | 0.966519 |
| CDC | 0.869641 |
| Mortality Weekly Report | 0.6933 |
| Prescription Drug Overdose | 0.710431 |
| Microsoft Word file | 0.661698 |
| John T. | 0.620085 |
| Health Image Library | 0.861838 |
| Syndicate Media | 0.698321 |
| Clifton Road Atlanta | 0.66771 |
| MD | 0.69006 |
| MMWR Summaries Archives | 0.691743 |
| Healthy Living | 0.727887 |
| Daniel B. Jernigan | 0.706779 |
| Inger K. Damon | 0.709941 |
| Microsoft Excel file | 0.659344 |
| Tweet Share Compartir | 0.706014 |
| Media Relations | 0.698108 |
| Image Library Buildings | 0.69804 |
| page options Skip | 0.696605 |
| Public Health Image | 0.861848 |
| Antibiotic Resistance | 0.621431 |
| different file formats | 0.663601 |
| Audio/Video CDC B-Roll | 0.725516 |
| Information Act Office | 0.876205 |
|
| Apple Quicktime file | 0.665497 |
| Story Ideas | 0.620409 |
| Media RSS Feeds | 0.853008 |
| CDC Media e-mail | 0.854564 |
| CDC A-Z | 0.638766 |
| CDC Online Newsroom | 0.729034 |
| Digital Press Kit | 0.705465 |
| CDC Newsroom | 0.637336 |
| Mortality Weekly | 0.80524 |
| Adobe PDF file | 0.661178 |
| Debra E. Houry | 0.710741 |
| Contact Media Relations | 0.69566 |
| Search Form Controls | 0.864007 |
| Quick Links | 0.731369 |
| file | 0.767056 |
| CDC Works | 0.643325 |
| Child Development | 0.623398 |
| Motor Vehicle Safety | 0.705431 |
| , 2000 | 0.641245 |
| public health investigation | 0.695309 |
| Search Controls | 0.693389 |
| CDC Press Briefing | 0.724464 |
| Katherine Lyon-Daniel | 0.620281 |
| press summary packets | 0.700639 |
|
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Arthritis - Interventions - Self-Management |
These physical activity programs are all approved evidence-based programs that are proven to improve the quality of life of people with arthritis. |
| trained leaders | 0.210187 |
| Arthritis Foundation Self-Help | 0.441628 |
| Spanish-speaking people | 0.2177 |
| Choices Better Health | 0.221743 |
| State health departments | 0.213611 |
| individualized self-management program | 0.461468 |
| 6-week interactive workshop | 0.242679 |
| Arthritis intervention | 0.280271 |
| Leadership Council website | 0.374406 |
| CDSMP program | 0.242363 |
| CDC-Arthritis Program funding | 0.233976 |
| Arthritis Toolkit | 0.370076 |
| health departments | 0.23033 |
| chronic disease management | 0.226075 |
| weekly 2-hour sessions | 0.223068 |
| self-management education program | 0.576465 |
| health care providers | 0.224764 |
| CDC Arthritis Program | 0.518152 |
| health care | 0.277123 |
| Self-Management Resource Center | 0.523715 |
| health professionals | 0.321226 |
| appropriate exercises | 0.244846 |
| Stanford University | 0.329258 |
| culturally appropriate manner | 0.25193 |
|
| Disease Self-Management Program | 0.62965 |
| arthritis management skills | 0.371913 |
| Arthritis Self-Help book | 0.358938 |
| chronic diseases | 0.353854 |
| new treatments | 0.322516 |
| Dr. Kate Lorig | 0.217752 |
| non-health professionals | 0.210161 |
| robust science base | 0.205082 |
| community setting | 0.204322 |
| self-management education | 0.57917 |
| self-management education intervention | 0.396585 |
| chronic health problems | 0.441493 |
| self-management education programs | 0.41162 |
| Arthritis website | 0.287394 |
| appropriate exercise | 0.269514 |
| Program funding | 0.249312 |
| su Salud | 0.228704 |
| Arthritis Self-Management Program | 0.901821 |
| Evidence-Based Leadership Council | 0.378084 |
| internationally recognized Chronic | 0.211186 |
| Chronic Disease Self-Management | 0.637599 |
| effective self-management education | 0.575801 |
| Better Choices Better | 0.307044 |
|
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| 8403 |
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Public Health Surveillance - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
|
| average number | 0.468824 |
| mental health | 0.479996 |
| Risk Factor Surveillance | 0.613835 |
| binge drinking | 0.908658 |
| local levels | 0.458808 |
| health topics | 0.491893 |
| Youth Risk Behavior | 0.596085 |
| In-home survey | 0.496683 |
| Nutrition Examination Survey | 0.630471 |
| health behaviors | 0.559507 |
| biennial survey | 0.51688 |
| Collects data | 0.594329 |
| sexual activity | 0.456656 |
| non-institutionalized household adults | 0.70071 |
| Multi-purpose health survey | 0.683311 |
| Longitudinal survey | 0.496876 |
| largest telephone survey | 0.681437 |
| Health Interview Survey | 0.683937 |
| current alcohol | 0.730302 |
| National Epidemiologic Survey | 0.675322 |
| gathers information | 0.456467 |
| National Health | 0.603739 |
| epidemiologic analysis | 0.482355 |
| 12th grade | 0.569346 |
| special population surveys | 0.56169 |
|
| survey | 0.753719 |
| non-institutionalized persons | 0.581176 |
| drinking occasion | 0.625208 |
| Future Survey | 0.495639 |
| United States | 0.76093 |
| preventive health practices | 0.657013 |
| lifetime alcohol | 0.60529 |
| alcohol consumption | 0.808378 |
| nutrition data | 0.475367 |
| non-institutionalized adults | 0.764847 |
| Alcohol Epidemiologic Data | 0.773494 |
| priority health-risk behaviors | 0.649677 |
| health examinations | 0.48698 |
| Pregnancy Risk Assessment | 0.574712 |
| non-institutionalized U.S. population | 0.726656 |
| data sets | 0.462784 |
| substance abuse | 0.559356 |
| National Survey | 0.519324 |
| population-based data | 0.483986 |
| chronic diseases | 0.465365 |
| alcohol use disorders | 0.661737 |
| high school youth | 0.59069 |
| current drinking | 0.624102 |
| maximum number | 0.469226 |
|
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| 8817 |
Centers for Disease Control and Prevention |
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Value of Pharmacy-Based Influenza Surveillance - Ontario,Canada, 2009 |
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. |
| local health authority | 0.853296 |
| symptom onset | 0.680109 |
| antiviral dispensing data | 0.536284 |
| absolute prescription counts | 0.494188 |
| Public Health Agency | 0.54506 |
| dispensed prescription medications | 0.50384 |
| influenza laboratory confirmations | 0.562868 |
| public health authority | 0.495424 |
| Public Health Ontario | 0.493638 |
| public health authorities | 0.683908 |
| positive influenza laboratory | 0.607926 |
| weekly influenza | 0.57487 |
| pandemic influenza | 0.542484 |
| real-time prescription data | 0.497789 |
| antiviral prescription | 0.691621 |
| Ontario influenza | 0.537596 |
| dispensed prescriptions | 0.505479 |
| case onset trend | 0.591475 |
| influenza laboratory reports | 0.556198 |
| public health surveillance | 0.520624 |
| illness onset date | 0.528546 |
| prescription dispensing dates | 0.499782 |
| public health | 0.79595 |
| onset dates | 0.584602 |
|
| pharmacy prescription data | 0.514164 |
| real-time pharmacy-based surveillance | 0.4957 |
| influenza pandemic | 0.515294 |
| antiviral prescriptions | 0.648425 |
| Weekly antiviral prescriptions | 0.549286 |
| date laboratory results | 0.498165 |
| health authority level | 0.857474 |
| individual-level prescription data | 0.508704 |
| onset date | 0.553689 |
| Prescription medication data | 0.506373 |
| influenza surveillance strategy | 0.565483 |
| symptom onset dates | 0.532815 |
| local influenza activity | 0.57937 |
| influenza laboratory results | 0.568419 |
| influenza surveillance | 0.681666 |
| pharmacy-based surveillance | 0.597406 |
| laboratory reports | 0.55711 |
| prescription data | 0.529687 |
| case onset date | 0.531456 |
| antiviral prescription proportions | 0.553963 |
| onset trend line | 0.591464 |
| antiviral medications | 0.506941 |
| antiviral prescription trend | 0.608992 |
|
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Is Your Adult Vaccination Record Up-To-Date? | CDC Features |
Having an up-to-date vaccination record is important. This record tells you and your doctor if you’re protected against vaccine-preventable diseases. Use these tools to help you keep track of your immunizations. |
| medical history | 0.53022 |
| vaccinations | 0.423972 |
| illnesses | 0.42314 |
| infectious diseases | 0.526769 |
| blood tests | 0.519805 |
| pharmacist | 0.426438 |
| immunization information | 0.687084 |
| Disease Control | 0.522399 |
| immunization record | 0.764188 |
| health conditions | 0.526197 |
| immunization record form | 0.684292 |
| baby books | 0.517611 |
| change healthcare professionals | 0.63189 |
| national organization | 0.516882 |
| past | 0.446908 |
| accurate record | 0.540732 |
| unnecessary vaccines | 0.590532 |
| Finding old immunization | 0.689043 |
| job | 0.423813 |
| immunization registry | 0.57207 |
| child | 0.42401 |
| vaccines | 0.60961 |
| safe place | 0.521995 |
| up-to-date vaccination record | 0.957521 |
| protection | 0.423996 |
|
| immunity | 0.429204 |
| tools | 0.427401 |
| U.S. | 0.424302 |
| immunizations | 0.431742 |
| hassle | 0.427815 |
| KB | 0.425125 |
| Children | 0.423437 |
| hospital | 0.42418 |
| health visits | 0.516964 |
| vaccine provider | 0.770637 |
| personal vaccination records | 0.673183 |
| certain vaccine-preventable diseases | 0.647603 |
| personal record | 0.537984 |
| people | 0.446076 |
| doctor | 0.478442 |
| important documents | 0.51577 |
| vaccination history | 0.574139 |
| money | 0.424748 |
| older adults | 0.521206 |
| complete record | 0.525275 |
| travel habits | 0.524664 |
| risk | 0.423856 |
| vaccine-preventable diseases | 0.818597 |
| time | 0.478672 |
|
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11 Things to Know about Cerebral Palsy | CDC Features |
Cerebral palsy (CP) is the most common motor disability in childhood. |
| epilepsy | 0.312906 |
| Centers | 0.314211 |
| CDC | 0.314393 |
| congenital CP | 0.621325 |
| specific cause | 0.365384 |
| adults | 0.323961 |
| boys | 0.314104 |
| small percentage | 0.368029 |
| movements | 0.313774 |
| girls | 0.314097 |
| Prevention | 0.314194 |
| result | 0.313794 |
| co-occurring conditions | 0.369072 |
| disorders | 0.315207 |
| signs | 0.341607 |
| muscles | 0.315727 |
| Disease Control | 0.372168 |
| balance | 0.314398 |
| children | 0.54518 |
| white children | 0.369836 |
| young children | 0.376808 |
| black children | 0.369901 |
| spastic CP | 0.572282 |
|
| autism spectrum disorder | 0.421318 |
| following factors | 0.429779 |
| group | 0.315214 |
| estimates | 0.314546 |
| common motor disability | 0.555758 |
| childhood | 0.332684 |
| posture | 0.316488 |
| possible CP | 0.538817 |
| birth | 0.363321 |
| diseases | 0.313649 |
| diagnosis | 0.312895 |
| brain damage | 0.43345 |
| families | 0.329533 |
| CP | 0.925963 |
| additional conditions | 0.365941 |
| symptoms | 0.31293 |
| delay | 0.313153 |
| appropriate services | 0.36382 |
| person | 0.31364 |
| baby | 0.336763 |
| risk | 0.328005 |
| milestones | 0.312979 |
| support | 0.329672 |
|
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Centers for Disease Control and Prevention |
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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). |
| human illness | 0.704827 |
| Human Services | 0.694591 |
| nasal swabs | 0.657919 |
| Public Health—Seattle | 0.662295 |
| fatal S. zooepidemicus | 0.72721 |
| U.S. Department | 0.696309 |
| Washington Animal Disease | 0.705526 |
| 5Northwest Equine Veterinary | 0.690203 |
| electronic PDF version | 0.691134 |
| possible antecedent | 0.654134 |
| Health Public Health | 0.712127 |
| ill horse | 0.663107 |
| National Center | 0.698377 |
| risk factors | 0.703742 |
| commensal bacterium | 0.663179 |
| S. zooepidemicus infection | 0.802639 |
| State Department | 0.763757 |
| zoonotic transmission | 0.657169 |
| nasal discharge | 0.657147 |
| Washington State Department | 0.761866 |
| upper respiratory infection | 0.801906 |
| previously healthy woman | 0.797657 |
| Respiratory Diseases | 0.702859 |
| mild pharyngitis | 0.661194 |
| pulsed-field gel electrophoresis | 0.695936 |
|
| uterine infections | 0.658087 |
| Culture results | 0.654892 |
| zoonotic pathogen | 0.72242 |
| sulfa-based antibiotics | 0.65569 |
| original MMWR paper | 0.693484 |
| S. zooepidemicus | 0.938703 |
| rare zoonotic pathogen | 0.705846 |
| Bacterial Diseases | 0.696132 |
| Equine Veterinary Associates | 0.780523 |
| consuming unpasteurized dairy | 0.716907 |
| horse boarding | 0.670377 |
| close contact | 0.653847 |
| 3Washington State Department | 0.700089 |
| zooepidemicus) infections. | 0.745968 |
| health care | 0.662782 |
| equi subspecies zooepidemicus | 0.730862 |
| throat culture | 0.703487 |
| unpasteurized dairy products | 0.813575 |
| health department | 0.681221 |
| 4Washington State Department | 0.69992 |
| Northwest Equine Veterinary | 0.691653 |
| direct horse contact | 0.728907 |
| 2Epidemic Intelligence Service | 0.690706 |
| King County | 0.827689 |
|
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Staying Healthy on a Long-Distance Flight | CDC Features |
Planning a trip abroad? Whether traveling for business, to study, or on a much-needed vacation, this information can make your long flight more comfortable and healthier. |
| DVT | 0.604573 |
| blood clot forms | 0.694929 |
| low humidity | 0.643478 |
| lotion | 0.34008 |
| temporary sleep disorder | 0.613562 |
| limited movement | 0.493801 |
| nonalcoholic beverages | 0.503201 |
| healthy travels | 0.466115 |
| HEPA | 0.338264 |
| health issues | 0.499177 |
| lip balm | 0.497819 |
| trip | 0.368942 |
| coughing | 0.352826 |
| air pressure | 0.650806 |
| aircraft cabin environment | 0.943919 |
| long-distance flights | 0.787866 |
| extended period | 0.488257 |
| lungs | 0.33849 |
| much-needed vacation | 0.525203 |
| eye drops | 0.491126 |
| additional risk factors | 0.643124 |
| cabin air | 0.554023 |
| jet lag | 0.97557 |
| high-efficiency particulate air | 0.654829 |
| fascinating destinations | 0.473437 |
|
| sleeping schedule | 0.470221 |
| low-frequency vibration | 0.495815 |
| Best wishes | 0.475948 |
| carry-on luggage | 0.498969 |
| cabin noise | 0.546995 |
| airborne germs | 0.490772 |
| critical business | 0.469638 |
| multiple time zones | 0.627085 |
| constant background noise | 0.642172 |
| long flight | 0.516958 |
| physical performance | 0.476054 |
| Long-distance travelers | 0.81149 |
| pulmonary embolism | 0.506181 |
| Practice good handwashing | 0.629211 |
| takeoff | 0.33879 |
| people | 0.334836 |
| vacation activities | 0.468417 |
| deep vein thrombosis | 0.681035 |
| discomfort | 0.340255 |
| earplugs | 0.343776 |
| information | 0.336031 |
| blood clot | 0.728988 |
| nonstop flight | 0.531139 |
| large vein | 0.507033 |
|
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