| 711 |
Centers for Disease Control and Prevention |
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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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| 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 |
|
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| 7411 |
Centers for Disease Control and Prevention |
Html |
en |
Chemical Weapons Elimination - Fact Sheets and Publications |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program and serves as an important element in ensuring the safe destruction of chemical warfare material for protection of public health. |
| agents GA | 0.358686 |
| U.S. Chemical Weapons | 0.708348 |
| Interim Recommendations | 0.39353 |
| Revised Plan | 0.327108 |
| Incinerator air emissions | 0.453123 |
| Environmental Treatment Facility | 0.44924 |
| human health | 0.349392 |
| Disease Control | 0.785206 |
| Weapons Elimination Timeline | 0.52892 |
| Chemical Weapons Elimination | 0.941461 |
| Chemical Agent Disposal | 0.923729 |
| Newport Chemical Agent | 0.62691 |
| Technical Investigation Report | 0.440378 |
| Harvey Rogers | 0.326806 |
| Off-site Treatment | 0.431569 |
| Emergency room procedures | 0.482917 |
| case study | 0.331247 |
| breakdown products | 0.331001 |
| Safe disposal | 0.420591 |
| Environ Health. | 0.346704 |
| Sulfur Mustard Munitions | 0.591991 |
| acute mammalian toxicity | 0.438035 |
| Annual Report | 0.331642 |
| Public Health | 0.327537 |
| Warfare Agent Disposal | 0.542048 |
|
| inhalation exposure perspectives | 0.476767 |
| potential adverse effects | 0.719216 |
| Offsite Shipment | 0.329317 |
| Secondary Waste | 0.320033 |
| mustard agent | 0.410296 |
| Mumtaz M. Prediction | 0.448544 |
| Airborne Exposure Limits | 0.487107 |
| long-term exposure | 0.364557 |
| Fed Reg. | 0.656984 |
| QSAR methods | 0.337097 |
| U.S. Army Chemical | 0.498068 |
| Chemical Warfare Agents | 0.524745 |
| CDC Recommendations | 0.375128 |
| New Jersey | 0.328671 |
| chemical hazard emergencies | 0.538265 |
| U.S. Army Proposal | 0.453974 |
| Caustic VX Hydrolysate | 0.791991 |
| Tooele Chemical Agent | 0.504702 |
| Agent Disposal Facility | 0.806797 |
| Agent Disposal Facilities | 0.669191 |
| historical reference | 0.329231 |
| Final recommendations | 0.511367 |
| low doses | 0.344026 |
| sulfur mustard | 0.707143 |
|
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| 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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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 |
|
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| 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 |
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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 |
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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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