| 1187 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 1323 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 5170 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 6511 |
Centers for Disease Control and Prevention |
Html |
en |
Case Definitions to be Used For Investigations of Influenza A(H3N2)v Virus Cases |
Interim Guidance on Case Definitions to be Used For Investigations of Influenza A (H3N2) Variant Virus Cases - CDC |
| State public health | 0.330807 |
| infect swine | 0.308941 |
| Reverse-transcription polymerase chain | 0.347762 |
| recent attendance | 0.271509 |
| influenza-like illness | 0.292837 |
| case status | 0.287521 |
| positive rapid influenza | 0.484506 |
| interim guidance | 0.36333 |
| Recent close contact3 | 0.336478 |
| additional guidance | 0.339493 |
| direct contact | 0.322496 |
| Data Interpretation Update | 0.323201 |
| indirect contact | 0.280489 |
| CDC Flu rRT-PCR | 0.729872 |
| Flu rRT-PCR Dx | 0.71665 |
| state health departments | 0.344073 |
| CDC Influenza Division | 0.535574 |
| epidemiologic criteria | 0.276203 |
| rRT-PCR Dx Panel | 0.704891 |
| genetic sequencing results | 0.349074 |
| laboratory result | 0.273538 |
| local health departments | 0.357359 |
| pdmH1 negative results | 0.34461 |
|
| sufficient level | 0.277122 |
| test results | 0.279462 |
| presumptive positive | 0.272958 |
| following definitions | 0.279035 |
| additional testing | 0.27359 |
| Suspect Influenza | 0.426911 |
| fever ≥100°F | 0.272788 |
| potential cases | 0.283706 |
| pdmInfA positive results | 0.350468 |
| Recent contact | 0.280216 |
| H3N2v viruses | 0.280213 |
| diagnostic test | 0.273154 |
| virus infection | 0.533667 |
| package insert | 0.27162 |
| CDC-approved assay | 0.278254 |
| Specimen Collection | 0.276241 |
| clinical judgment | 0.272246 |
| patient meeting | 0.275884 |
| illness onset | 0.37197 |
| laboratory confirmation | 0.351448 |
| RT-PCR testing results | 0.359031 |
| public health laboratory | 0.346122 |
|
CLICK HERE |
| 12118 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 13265 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 14258 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 14475 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 15670 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 15890 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |