| 711 |
Centers for Disease Control and Prevention |
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en |
Notes from the Field: Escherichia coli O157:H7 OutbreakAssociated with Seasonal Consumption of Raw Ground Beef -Wisconsin, December 2012-January 2013 |
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. |
| mmwrq@cdc.gov. | 0.436829 |
| timely case detection | 0.456097 |
| Watertown Department | 0.435948 |
| winter holiday | 0.464156 |
| Human Services | 0.451949 |
| raw ground beef | 0.900458 |
| assistive technology | 0.435731 |
| U.S. Department | 0.481439 |
| MMWR HTML versions | 0.453668 |
| non-ill persons | 0.433433 |
| meat market | 0.437067 |
| electronic PDF version | 0.454561 |
| probable cases | 0.436921 |
| Consumer Protection | 0.43324 |
| Jeffrey P. Davis | 0.45288 |
| ongoing outreach efforts | 0.452596 |
| patients | 0.434396 |
| Wisconsin State Laboratory | 0.468909 |
| Escherichia coli O157 | 0.474759 |
| foodborne illness | 0.437881 |
| public health response | 0.461614 |
| original paper copy | 0.452735 |
| pulsed-field gel electrophoresis | 0.464364 |
| outpatient medical care | 0.457531 |
|
| variable-number tandem-repeat analysis | 0.459639 |
| original MMWR paper | 0.456557 |
| U.S. Government Printing | 0.455742 |
| tiger meat | 0.494163 |
| probable case definition | 0.463483 |
| traditional winter holiday | 0.463841 |
| winter holiday season | 0.462927 |
| Wisconsin Division | 0.438834 |
| stool E. coli | 0.46677 |
| Wisconsin Department | 0.438687 |
| regional holiday tradition | 0.457392 |
| local health departments | 0.466399 |
| E. coli | 0.500216 |
| public health | 0.494993 |
| outbreak strain | 0.467455 |
| illness | 0.441276 |
| ground beef samples | 0.5198 |
| ground beef consumption | 0.565346 |
| subject line | 0.436136 |
| cannibal sandwiches | 0.46805 |
| H7 | 0.442356 |
| illness meeting | 0.440591 |
| Abbey J. Canon | 0.493145 |
| severe illness | 0.436527 |
|
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| 5396 |
Centers for Disease Control and Prevention |
Html |
es |
Control de la diabetes en los días calurosos y al viajar |
Controle su diabetes aun cuando esté de vacaciones. Planifique para tener un viaje sin estrés y de acuerdo con sus necesidades médicas. En todos sus viajes, mantenga su rutina de cuidados. |
| glucosa baje | 0.726708 |
| Archivo Apple Quicktime | 0.720212 |
| Archivo Zip Comprimido | 0.716954 |
| Averigüe dónde | 0.665314 |
| consigo alimentos | 0.665486 |
| Archivo Microsoft PowerPoint | 0.737824 |
|
| Archivo Adobe PDF | 0.719136 |
| Archivo Microsoft Excel | 0.71746 |
| pequeña nevera | 0.674121 |
| Archivo Microsoft | 0.918376 |
| seguro médico | 0.654435 |
|
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| 6084 |
Centers for Disease Control and Prevention |
Html |
en |
Methylcyclohexanol - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 7349 |
Centers for Disease Control and Prevention |
Html |
en |
Measles - Horn of Africa, 2010-2011 |
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. |
| refugees | 0.510992 |
| eventual global measles | 0.577656 |
| recent nationwide measles | 0.565078 |
| uniform high coverage | 0.509945 |
| Somalia | 0.625245 |
| Outbreak response immunization | 0.515032 |
| measles supplemental immunization | 0.558583 |
| measles elimination | 0.631483 |
| massive measles | 0.533309 |
| routine measles vaccination | 0.563838 |
| measles cases | 0.841277 |
| Nations High Commissioner | 0.539685 |
| measles incidence | 0.758667 |
| nationwide measles SIA | 0.691077 |
| 2-dose MCV coverage | 0.549604 |
| children | 0.566024 |
| measles vaccination strategies | 0.558767 |
| MCV1 coverage | 0.688761 |
| measles outbreaks | 0.562481 |
| measles elimination goals | 0.552516 |
| clinically confirmed measles | 0.565454 |
| measles mortality | 0.545102 |
| national measles CSR | 0.542722 |
| United Nations High | 0.534636 |
|
| large measles outbreaks | 0.559587 |
| Dadaab refugee camps | 0.516663 |
| World Health Organization | 0.594917 |
| global measles reduction | 0.546777 |
| sporadic measles cases | 0.576096 |
| annual measles incidence | 0.605125 |
| administrative coverage | 0.635309 |
| measles vaccination | 0.578421 |
| Kenya | 0.548253 |
| measles virus transmission | 0.607828 |
| population | 0.513405 |
| annual measles surveillance | 0.568727 |
| ongoing measles virus | 0.563766 |
| follow-up measles SIA | 0.561996 |
| EMR measles elimination | 0.618649 |
| measles elimination targets | 0.610105 |
| refugee camps | 0.77913 |
| Dollo Ado | 0.537745 |
| measles-containing vaccine | 0.525845 |
| measles ORI | 0.544632 |
| measles | 0.906689 |
| nationwide follow-up measles | 0.594734 |
| measles case-based surveillance | 0.566087 |
|
CLICK HERE |
| 7987 |
Centers for Disease Control and Prevention |
Html |
en |
Ciguatera Fish Poisoning - New York City, 2010-2011 |
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. |
| CFP diagnosis | 0.637032 |
| ciguatera fish poisoning | 0.479552 |
| NYC CFP cases | 0.661124 |
| public health authorities | 0.429807 |
| New York City | 0.709673 |
| CFP occurrence | 0.587468 |
| CFP outbreaks | 0.696446 |
| CFP outbreak | 0.671322 |
| FDA guidance level | 0.496813 |
| CFP endemic areas | 0.741471 |
| Public Health Prevention | 0.433116 |
| CFP cases | 0.793515 |
| barracuda-related CFP outbreak | 0.65688 |
| multiple CFP cases | 0.642207 |
| NYC Poison Control | 0.424634 |
| New York State | 0.442035 |
| patients experience symptoms | 0.420877 |
| tropical reef fish | 0.473113 |
| York City Dept | 0.494541 |
| NYC health-care providers | 0.424048 |
| fish species | 0.497946 |
| different NYC boroughs | 0.422178 |
| CFP symptoms | 0.660553 |
| CFP results | 0.643994 |
| single case | 0.46919 |
|
| reef fish | 0.505951 |
| coral reef fish | 0.448619 |
| CFP prevention | 0.718195 |
| health-care providers | 0.519369 |
| CFP | 0.976268 |
| high-risk fish species | 0.475891 |
| CFP signs | 0.640826 |
| fish market | 0.494849 |
| CFP reports | 0.584013 |
| public health | 0.471165 |
| New York | 0.791963 |
| previously reported cases | 0.469919 |
| fish species identification | 0.45098 |
| acute CFP symptoms | 0.656172 |
| total C-CTX-1 equivalents | 0.583546 |
| ТЕg/kg total C-CTX-1 | 0.582975 |
| toxic fish | 0.441583 |
| CFP risks | 0.579571 |
| York City Department | 0.439251 |
| neurologic symptoms | 0.477198 |
| CFP-implicated fish traceback | 0.450709 |
| fish | 0.643999 |
| fish monitoring programs | 0.469187 |
| individual state CFP | 0.626855 |
|
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| 10917 |
Centers for Disease Control and Prevention |
Html |
en |
Colorectal Cancer Risk Factors |
Your risk of getting colorectal cancer increases as you get older. |
| risk factors | 0.432281 |
| colorectal cancer | 0.743465 |
| list Skip | 0.715667 |
| cases | 0.247992 |
| page options Skip | 0.932001 |
|
| Lifestyle factors | 0.474616 |
| colorectal cancer include— | 0.672942 |
| colorectal cancer increases | 0.737127 |
| people | 0.247779 |
|
CLICK HERE |
| 11498 |
Centers for Disease Control and Prevention |
Html |
en |
ELISA Software for Bioassays | Manual | Calculate Concentrations |
Module 6 of the ELISA for Windows user's manual: Calculate Concentrations. |
| concentration calculations | 0.687581 |
| software | 0.533188 |
| chapters | 0.534248 |
| antibody concentrations | 0.741833 |
| antibody units/ml | 0.713976 |
| mass values | 0.665818 |
| µg/ml | 0.531723 |
| quality control samples | 0.805043 |
| logit-log scale | 0.662033 |
| Windows | 0.527675 |
| standard point | 0.645818 |
| unknown curves | 0.660903 |
| example | 0.565617 |
| Questions | 0.53168 |
| results | 0.527575 |
| CDC-INFO | 0.531601 |
|
| absorbance | 0.546395 |
| twofold serial dilutions | 0.83645 |
| idealized standard curve | 0.808016 |
| documentation | 0.533139 |
| module | 0.529525 |
| standard reference serum | 0.828303 |
| list | 0.534282 |
| calibration factor | 0.65624 |
| patient serum samples | 0.997197 |
| Figure | 0.564456 |
| diagram | 0.577558 |
| parameter logistic-log fit | 0.801893 |
| Note | 0.532251 |
| e.g. | 0.551149 |
| actual calculations | 0.671371 |
|
CLICK HERE |
| 15458 |
Centers for Disease Control and Prevention |
Html |
en |
HIV/AIDS | Gay and Bisexual Men's Health | CDC |
Learn more about HIV/AIDS risk, HIV Testing, and prevention efforts among MSM. |
| STD testing site | 0.512926 |
| HIV virus | 0.577852 |
| number | 0.42825 |
| viral load | 0.522913 |
| HIV-negative partner | 0.4957 |
| anal sex | 0.764248 |
| Visit Act | 0.460442 |
| male partner | 0.468624 |
| post-exposure prophylaxis | 0.466023 |
| sex partner | 0.473036 |
| viruses | 0.414411 |
| oral sex | 0.628609 |
| AIDS | 0.447509 |
| ongoing sexual relationship | 0.605085 |
| body fluids | 0.524172 |
| HIV-positive partner | 0.526205 |
| HIV risk | 0.598863 |
| HIV antiretroviral treatment | 0.633445 |
| his/her viral load | 0.504002 |
| right medical treatment | 0.514847 |
| chances | 0.519785 |
| long-term health consequences | 0.507763 |
| human immunodeficiency virus | 0.533949 |
| syringes | 0.415285 |
| condoms | 0.431407 |
|
| sex partners | 0.50986 |
| United States | 0.47627 |
| antiretroviral therapy | 0.462842 |
| sexual activities | 0.461561 |
| receptive anal sex | 0.67126 |
| life | 0.416251 |
| rinse water | 0.473027 |
| immunodeficiency syndrome | 0.548603 |
| exclusive relationship | 0.456388 |
| flu-like symptoms | 0.467456 |
| chance | 0.478038 |
| sex | 0.780213 |
| initial infection | 0.467006 |
| vaginal sex | 0.647671 |
| human body | 0.4683 |
| people | 0.466124 |
| possible exposure | 0.506841 |
| highest-risk sexual behavior | 0.616439 |
| HIV | 0.993958 |
| STDs | 0.448904 |
| PEP | 0.426464 |
| time | 0.424792 |
| insertive anal sex | 0.574109 |
| injectable drugs | 0.467045 |
|
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| 15531 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Collaborative Study: Influenza Important Cause of Respiratory Hospitalizations Worldwide |
null |
| earlier study | 0.307299 |
| flu-associated hospitalization data | 0.387141 |
| influenza infection | 0.365989 |
| highest proportion | 0.330168 |
| influenza vaccination coverage | 0.48954 |
| severe influenza | 0.356199 |
| similar analysis | 0.293552 |
| pregnant women | 0.592199 |
| children | 0.807328 |
| young children | 0.408827 |
| new study | 0.306872 |
| flu hospitalizations | 0.486953 |
| impact | 0.235855 |
| countries | 0.317733 |
| particularly children | 0.316653 |
| GRIPP | 0.239344 |
| global partners | 0.317313 |
| possible influenza vaccination | 0.453033 |
| Flu Vaccine | 0.316189 |
| influenza disease burden | 0.463879 |
| working group | 0.288927 |
| Influenza Proportion Positive | 0.471984 |
| systematic literature review | 0.387782 |
| study | 0.473639 |
| Ongoing efforts | 0.287607 |
|
| influenza-associated respiratory hospitalizations | 0.591674 |
| global flu-associated hospitalizations | 0.586455 |
| respiratory illness | 0.330636 |
| age group | 0.401346 |
| systematic surveillance | 0.302974 |
| CDC authors | 0.314412 |
| group members | 0.302829 |
| numerical estimates | 0.310188 |
| flu-associated hospitalizations | 0.649156 |
| PLOS Medicine | 0.428614 |
| Southeast Asia | 0.297526 |
| different methodology | 0.296645 |
| earlier finding | 0.298157 |
| global respiratory hospitalizations | 0.73751 |
| journal PLOS Medicine | 0.424929 |
| evidence base | 0.293089 |
| respiratory hospitalizations | 0.991597 |
| influenza surveillance data | 0.486911 |
| global estimates | 0.316911 |
| Study authors | 0.313613 |
| protective benefit | 0.2896 |
| visit Children | 0.31749 |
| influenza-associated hospitalizations | 0.451782 |
| 31-year period | 0.304016 |
|
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| 16214 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Grand Rounds: A Public Health Approach to Detect andControl Hypertension | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| hypertension data | 0.486746 |
| uncontrolled hypertension | 0.66488 |
| health information | 0.388586 |
| systolic blood pressure | 0.404153 |
| NorthShore hypertension criteria | 0.601623 |
| health care delivery | 0.399586 |
| diastolic blood pressure | 0.404119 |
| accurate blood pressure | 0.390849 |
| reliable blood pressure | 0.394191 |
| public health department | 0.392974 |
| health care providers | 0.432326 |
| blood pressure | 0.927576 |
| health care setting | 0.396129 |
| hypertension control | 0.598346 |
| patients | 0.390244 |
| hypertension prevalence | 0.554159 |
| hypertension diagnosis | 0.48436 |
| blood pressure control | 0.408059 |
| office blood pressure | 0.419553 |
| Hearts hypertension goal | 0.492446 |
| blood pressure goals | 0.388579 |
| NorthShore University Health | 0.398516 |
| newly diagnosed hypertension | 0.501463 |
| electronic health record | 0.384403 |
| hypertension prevalence rates | 0.506666 |
|
| busy health care | 0.386991 |
| untreated hypertension | 0.481635 |
| blood pressure goal | 0.460166 |
| blood pressure readings | 0.435985 |
| blood pressure measurement | 0.433098 |
| NorthShore Undiagnosed Hypertension | 0.530203 |
| adequately controlled hypertension | 0.489564 |
| health care | 0.566285 |
| public health | 0.488951 |
| U.S. residents | 0.386614 |
| health care systems | 0.432766 |
| health care resources | 0.409697 |
| default blood pressure | 0.413088 |
| blood pressure treatment | 0.393851 |
| enterprise-wide hypertension surveillance | 0.50653 |
| elevated blood pressure | 0.418248 |
| MedStar Health | 0.409647 |
| Chronic Disease Prevention | 0.387449 |
| average hypertension prevalence | 0.497491 |
| high blood pressure | 0.406215 |
| public health data | 0.3957 |
| primary care | 0.390777 |
| MedStar Health examples | 0.393865 |
| hypertension | 0.832501 |
|
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