| 1187 |
Centers for Disease Control and Prevention |
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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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Oklahoma Activities to Prevent HAIs |
null |
| MPEG | 0.252335 |
| funding | 0.600166 |
| prevention activities | 0.433284 |
| monthly update | 0.688349 |
| Oklahoma | 0.245659 |
| email address | 0.99236 |
| different file formats | 0.616198 |
| Affordable Care Act | 0.636676 |
| Epidemiology | 0.427788 |
| recent work | 0.666679 |
|
| HAI infrastructure | 0.452151 |
| conduct surveillance | 0.439013 |
| infectious disease | 0.728044 |
| PPT | 0.265449 |
| Laboratory Capacity | 0.875557 |
| Infectious Diseases | 0.89233 |
| DOC | 0.250125 |
| page | 0.302322 |
| ELC | 0.490284 |
|
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| 8403 |
Centers for Disease Control and Prevention |
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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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Centers for Disease Control and Prevention |
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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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Mixing Tamiflu® with Sweet Liquids (2:35) |
If your doctor prescribes Tamiflu capsules for your child and he/she cannot swallow them, they may be mixed with a thick liquid. |
| FDA | 0.439124 |
| Drug Administration | 0.596704 |
| feedback | 0.434462 |
| Joint Information Center | 0.741986 |
| online video | 0.601598 |
| Disease Control | 0.58851 |
| Emergency Communication | 0.587916 |
| Roche | 0.447719 |
| liquid Tamiflu® | 0.588935 |
| children | 0.506999 |
| variety | 0.471583 |
| safety | 0.471406 |
| different audiences | 0.806949 |
|
| public health professionals | 0.959078 |
| CDC-TV videos | 0.727646 |
| Tamiflu® capsules | 0.629368 |
| Food | 0.434563 |
| available supplies | 0.594281 |
| maker | 0.434329 |
| way | 0.434951 |
| doctor | 0.435723 |
| preparedness topics | 0.82306 |
| antiviral medicine Tamiflu® | 0.767305 |
| comment | 0.436442 |
| Release Date | 0.597435 |
| parents | 0.469944 |
|
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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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After a Hurricane|Hurricanes |
Information on preparing for Hurricanes and being safe after a Hurricane. Provided by the Centers for Disease Control and Prevention (CDC). |
| typhoons | 0.450001 |
| injuries | 0.400141 |
| high tidal waves | 0.963398 |
| flooding | 0.435299 |
| hurricane | 0.402652 |
| water | 0.375881 |
| food | 0.376121 |
|
| high winds | 0.707806 |
| cyclones | 0.431519 |
| tropical storms | 0.746931 |
| world | 0.381241 |
| heavy rain | 0.732409 |
| hurricanes | 0.722042 |
|
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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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Centers for Disease Control and Prevention |
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Walking to Work: Trends in the United States,2005-2014 |
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. |
| main benefit | 0.471767 |
| United States. | 0.469046 |
| trend line | 0.666976 |
| corresponding decay parameters | 0.550567 |
| larger percentage | 0.520715 |
| trip duration | 0.500965 |
| distance decay functions | 0.926541 |
| percentage | 0.741831 |
| various population groups | 0.51505 |
| national-level data | 0.472183 |
| short distances | 0.473857 |
| cumulative percentage | 0.525718 |
| public transportation | 0.763614 |
| ongoing nationwide survey | 0.533814 |
| decay parameter | 0.565348 |
| private vehicle travel | 0.538253 |
| National Household Travel | 0.551386 |
| specific duration | 0.500117 |
| United States | 0.698978 |
| travel mode | 0.531332 |
| length distribution pattern | 0.518535 |
| duration | 0.595871 |
| past half century | 0.543087 |
| aggressive policy intervention | 0.519912 |
| departure time | 0.475421 |
|
| private vehicle | 0.781415 |
| walking | 0.542368 |
| travel modes | 0.537325 |
| fitted linear trend | 0.532609 |
| active travel | 0.538393 |
| slight decrease | 0.473693 |
| transportation mode | 0.470342 |
| likely people | 0.470159 |
| figure | 0.518822 |
| American Community Survey | 0.792793 |
| overall trend | 0.481799 |
| Census Bureau | 0.469123 |
| people | 0.50204 |
| data collection | 0.472759 |
| tabular description | 0.469798 |
| trips | 0.629565 |
| empirical data | 0.476855 |
| workplace location | 0.469991 |
| distance decay function | 0.565079 |
| slight increase | 0.547723 |
| ACS data | 0.574424 |
| time | 0.528449 |
| travel | 0.75856 |
| past decade | 0.535926 |
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