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Centers for Disease Control and Prevention |
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Notes from the Field: Increase in Reported Legionellosis -Milwaukee, Wisconsin, June-September 2013 |
Paul A. Biedrzycki, MPH, MBA1, Marisa Stanley, MPH1, Fredrick Radmer, MPH1, Shannon Lauf, MPH1 (Author affiliations at end of text). |
| realty management groups | 0.654542 |
| Legionella pneumophila serogroup | 0.749836 |
| clinically diagnosed cases | 0.695882 |
| county cases | 0.616374 |
| multiple environmental sources | 0.669397 |
| MHD | 0.743531 |
| Human Services | 0.64432 |
| bulk water specimens | 0.66124 |
| appropriate public risk | 0.670776 |
| legionellosis | 0.656577 |
| public health authorities | 0.845741 |
| MMWR HTML versions | 0.655848 |
| U.S. Department | 0.644498 |
| Multiple physician alerts | 0.651758 |
| electronic PDF version | 0.654898 |
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| select commercial building | 0.674264 |
| extremely hot weather | 0.657453 |
| Fredrick Radmer | 0.608036 |
| spatial analysis software | 0.659546 |
| Wisconsin State Laboratory | 0.690829 |
| original paper copy | 0.648811 |
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| public swimming pool/waterpark | 0.684508 |
| Legionella exposure | 0.719007 |
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| outdoor water fountain | 0.666215 |
| air conditioning | 0.663583 |
| reportable disease | 0.608569 |
| original MMWR paper | 0.662136 |
| U.S. Government Printing | 0.655403 |
| geographically separate towers | 0.685847 |
| Wisconsin Division | 0.681418 |
| regional cooling tower | 0.684275 |
| Pulsed-field gel electrophoresis | 0.66216 |
| Health Department Laboratory | 0.698049 |
| Paul A. Biedrzycki | 0.686105 |
| total annual case | 0.683099 |
| environmental sites | 0.609667 |
| Legionella-positive towers | 0.6178 |
| different cooling towers | 0.715502 |
| Milwaukee Health Department | 0.945997 |
| local public health | 0.846566 |
| county patients | 0.613455 |
| Cleaning Towers Infected | 0.683471 |
| MHD laboratory | 0.7129 |
| Milwaukee County | 0.646776 |
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Centers for Disease Control and Prevention |
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Learn Free or Low Cost Ways to Be Healthy | CDC Features |
Be healthy and save money at the same time. Making smart, healthy choices can help prevent injury, disease, and disability. |
| free service | 0.664295 |
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| medical tourist | 0.633581 |
| corresponding health coverage | 0.804581 |
| long-term costs | 0.652343 |
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| health centers | 0.681763 |
| unwanted conditions | 0.634952 |
| public health departments | 0.804127 |
| healthy choices | 0.684176 |
| certain reproductive problems | 0.775825 |
| n’t need | 0.65592 |
| pregnant women | 0.769579 |
| healthy bones | 0.660334 |
| Wear seatbelts | 0.647439 |
| state-sponsored programs | 0.663526 |
| antibiotic treatment | 0.648996 |
| free text messages | 0.795253 |
| open enrollment | 0.651725 |
| to-go box | 0.642802 |
| fresh kind | 0.63201 |
| text messages | 0.909074 |
| Buy fruits | 0.639201 |
| birth control | 0.635579 |
| free SMS | 0.659972 |
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| Drink water | 0.650188 |
| lower rates | 0.633367 |
| Breast milk | 0.627409 |
| ovarian cancers | 0.641902 |
| lower your risk | 0.639795 |
| fluoridated water | 0.647017 |
| new moms | 0.777522 |
| heart disease | 0.790916 |
| certain breast | 0.626804 |
| Regular physical activity | 0.765353 |
| tooth decay | 0.635582 |
| low-cost ways | 0.669767 |
| meal planning | 0.647872 |
| cheap thirst-quencher | 0.636215 |
| free health text | 0.819945 |
| smoke alarms | 0.630008 |
| water bottle | 0.643411 |
| smoking-related illnesses | 0.660385 |
| money | 0.581498 |
| water keeps | 0.64565 |
| carbon monoxide poisoning | 0.752361 |
| older adults | 0.637801 |
| unnecessary antibiotics | 0.695444 |
| time | 0.554436 |
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Preventing Chronic Disease | Partnering with Health Care Systems to Assess Tobacco Treatment Practices and Beliefs Among Clinicians: Evaluating the Process - CDC |
Tobacco is a major cause of preventable illness and death. However, clinician use of an evidence-based guideline for treatment of tobacco use is low. This case study describes the process for conducting a pre-intervention assessment of clinician practices and beliefs regarding treatment of tobacco use. |
| survey notification letter | 0.678609 |
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| Health Sciences Center | 0.796712 |
| health care delivery | 0.673481 |
| tobacco | 0.791864 |
| clinicians | 0.664547 |
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| Survey Monkey | 0.638119 |
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| University Health Sciences | 0.667005 |
| Health Interview Survey | 0.657571 |
| survey protocol | 0.641647 |
| health care community | 0.766722 |
| LSU Health Sciences | 0.668937 |
| health care settings | 0.634359 |
| survey | 0.899277 |
| tobacco treatment practices | 0.645254 |
| Health Care Services | 0.636887 |
| United States | 0.724296 |
| evidence-based clinician survey | 0.657223 |
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| private health care | 0.627851 |
| Crater Health District | 0.66531 |
| care provider surveys | 0.640808 |
| institutional review board | 0.732774 |
| Louisiana State University | 0.646479 |
| public health professionals | 0.625985 |
| Eval Health Prof | 0.646674 |
| Guideline Treating Tobacco | 0.632686 |
| system-wide survey | 0.632173 |
| health care | 0.955644 |
| public health | 0.817065 |
| public health care | 0.637596 |
| largest health care | 0.635416 |
| survey administration | 0.630392 |
| clinician practices | 0.68479 |
| Michael D. Celestin | 0.679417 |
| evidence-based public health | 0.668898 |
| Medical Care Survey | 0.642556 |
| Guideline recommendations | 0.647798 |
| adult tobacco survey | 0.663912 |
| Public Health Service | 0.6697 |
| Health Crater Health | 0.708862 |
| Survey Monkey link | 0.625945 |
| primary care | 0.667115 |
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The Flu Season |
Timing and duration of flu seasons vary - CDC |
| reports | 0.220223 |
| FluView Interactive | 0.322095 |
| CDC | 0.299416 |
| United States | 0.590695 |
| flu surveillance | 0.580758 |
| collaborative effort | 0.320087 |
| winter | 0.224675 |
| flu activity | 0.937822 |
| U.S. influenza surveillance | 0.632169 |
| in-depth exploration | 0.32218 |
| duration | 0.230771 |
| shows | 0.222297 |
| fall | 0.222429 |
| influenza virus infection | 0.608883 |
| highest percentage | 0.33875 |
| exact timing | 0.34659 |
| health care providers | 0.420159 |
| local health departments | 0.423656 |
| public health | 0.319773 |
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| respiratory specimens | 0.337402 |
| influenza season | 0.498776 |
| influenza activity | 0.599377 |
| flu seasons | 0.750751 |
| seasonal influenza | 0.542083 |
| influenza surveillance data | 0.63518 |
| flu activity peaks | 0.700112 |
| flu viruses | 0.684024 |
| different data sources | 0.415151 |
| emergency departments | 0.322588 |
| 34-year period | 0.329543 |
| clinical laboratories | 0.319381 |
| vital statistics offices | 0.421585 |
| influenza surveillance | 0.689372 |
| weekly influenza surveillance | 0.640891 |
| visit Flu Activity | 0.638717 |
| report | 0.220617 |
| information | 0.260962 |
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Centers for Disease Control and Prevention |
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Congenital Heart Defects, Specific Defects - NCBDDD |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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| 8982 |
Centers for Disease Control and Prevention |
Video |
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CDC: Tips from Former Smokers - Tiffany's Ad: Smoking and Family |
When Tiffany was 16, her mother—a cigarette smoker—died of lung cancer. Despite her loss, Tiffany started smoking 3 years later. In this TV commercial from CDC's Tips From Former Smokers campaign, Tiffany says she quit smoking at 34 because she could not bear the thought of missing out on any part of her own daughter's life.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=c5f5cedff6bf5338739921d2ed4ce49820130318115156093 |
| Tiffany | 0.907834 |
| Smokers | 0.926978 |
| CDC | 0.912422 |
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| Family | 0.516094 |
| YouTube | 0.874162 |
| Smoking | 0.796115 |
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Centers for Disease Control and Prevention |
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Waterborne Disease Prevention Branch - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| Trop Med Hyg. | 0.843207 |
| Xiao L. Population | 0.534575 |
| Quick R. | 0.522034 |
| typhoid fever | 0.57465 |
| Xiao L. Enterocytozoon | 0.546694 |
| Beach MJ | 0.611734 |
| Xiao L. Extended | 0.509829 |
| Epidemiol Infect. | 0.56262 |
| water treatment | 0.523379 |
| Xiao L. Molecular | 0.645143 |
| Enterocytozoon bieneusi | 0.610833 |
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| Xiao L. Identity | 0.533253 |
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| Vet Parasitol. | 0.562703 |
| water | 0.537145 |
| Clin Infect Dis. | 0.643107 |
| Infect Dis. | 0.75712 |
| typhoid fever outbreak | 0.554148 |
| Xiao L. Epidemiology | 0.506482 |
| Visvesvara GS | 0.593437 |
| Hlavsa MC | 0.51251 |
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| Environ Sci Technol. | 0.511714 |
| plos one. | 0.695877 |
| Xiao L. Cryptosporidium | 0.682432 |
| Xiao L. Taxonomy | 0.513991 |
| United States | 0.62542 |
| Xiao L. Occurrence | 0.559922 |
| Hill VR | 0.649202 |
| MMWR Morb Mortal | 0.829422 |
| L. Cryptosporidium tyzzeri | 0.50407 |
| PLoS Negl Trop | 0.602152 |
| Mortal Wkly Rep. | 0.774939 |
| public health | 0.541646 |
| Xiao L. Multilocus | 0.589652 |
| Cryptosporidium spp. | 0.631758 |
| Xiao L. Host | 0.522775 |
| Xiao L. Genotypic | 0.518464 |
| Yoder JS | 0.563462 |
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| Xiao L. Survey | 0.536463 |
| Xiao L. Genotypes | 0.521947 |
| Xiao L. Feng | 0.523129 |
| Xiao L. | 0.963217 |
| Breiman RF | 0.510632 |
| Roy SL | 0.537018 |
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Diagnostic Testing | Chikungunya virus | CDC |
Information on Chikungunya virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| submission form | 0.487747 |
| arbovirus activity increases | 0.572565 |
| commercial laboratories | 0.50093 |
| initial results | 0.494435 |
| virus transmission | 0.545479 |
| confirmatory testing | 0.499032 |
| Viral culture | 0.508109 |
| APPROPRIATE STATE HEALTH | 0.558573 |
| Disease Control | 0.50457 |
| shipping | 0.430129 |
| detailed instructions | 0.486772 |
| best type | 0.490744 |
| state health departments | 0.592332 |
| Initial serological testing | 0.572359 |
| CHIK testing | 0.591124 |
| convalescent-phase samples | 0.491499 |
| IgM-capture ELISA | 0.489981 |
| test results | 0.53867 |
| Chikungunya virus infection | 0.733025 |
| patients | 0.432659 |
| Brief Clinical Summary | 0.557898 |
| biosafety level | 0.499654 |
| hard copy | 0.480797 |
| chikungunya viral RNA | 0.675749 |
| on-line CDC specimen | 0.577532 |
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| field | 0.425311 |
| ARBOVIRUS SEROLOGY | 0.50948 |
| Contact your state | 0.506077 |
| diagnostic specimens | 0.485997 |
| acute-phase samples test | 0.57051 |
| drop-down menu | 0.490623 |
| IgG ELISA | 0.499145 |
| page | 0.42526 |
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| chikungunya virus | 0.915018 |
| serum separator | 0.551725 |
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CDC Ebola Response Update #3 - HAN Archive - 00367 | Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| Confirmed Case Count | 0.268092 |
| CDC Health Alert | 0.517121 |
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| CDC | 0.614712 |
| United States | 0.340186 |
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| American healthcare workers | 0.220243 |
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| unprotected mucous membranes | 0.243234 |
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| Disease Control | 0.268795 |
| PHEIC declaration | 0.228016 |
| Summary Key Messages | 0.247346 |
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| appropriate patient care | 0.216008 |
| new information | 0.268463 |
| CDC website | 0.32664 |
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| Emergency Operations Center | 0.253028 |
| ebola cases | 0.776275 |
| U.S. general population | 0.238468 |
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| international public health | 0.257185 |
| West Africa | 0.768438 |
| healthcare workers | 0.239348 |
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Areas At Risk |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| Healthcare Providers Caring | 0.374268 |
| South America | 0.346508 |
| Central America | 0.346487 |
| Metsky HC | 0.343598 |
| CDC | 0.354488 |
| tissue transplants | 0.382743 |
| North America | 0.346529 |
| Henriques CM | 0.34431 |
| standard case definitions | 0.384026 |
| cryptic transmission | 0.369196 |
| blood collection | 0.365252 |
| active Zika virus | 0.483674 |
| state health departments | 0.387614 |
| Rudnick A. Isolation | 0.370412 |
| domestic blood | 0.363932 |
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| Previously listed areas | 0.394467 |
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| tissue safety intervention | 0.420915 |
| zika virus outbreak | 0.524516 |
| substantive risk | 0.361165 |
| Zika virus disease | 0.495732 |
| Miami-Dade County | 0.377757 |
| nationally notifiable condition | 0.386237 |
| Asian countries | 0.343466 |
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| Aedes aegypti mosquitoes | 0.374106 |
| Zika virus transmission | 0.824401 |
| tissue supply | 0.422951 |
| da Costa AC | 0.367639 |
| Palm Beach counties | 0.378167 |
| Zika virus information | 0.498096 |
| tissue safety interventions | 0.422969 |
| tissue recovery organizations | 0.483855 |
| Drug Administration | 0.347274 |
| continental United States | 0.379729 |
| plausible estimate | 0.344115 |
| 2536-43. doi | 0.363773 |
| zika virus | 0.941334 |
| local health departments | 0.386528 |
| blood transfusion | 0.36519 |
| Soc Trop Med | 0.373291 |
| potential risk | 0.361647 |
| tissue safety | 0.463584 |
| Santelli ACFS | 0.34375 |
| local travel | 0.343622 |
| et al | 0.378933 |
| mathematical modeling | 0.343913 |
| virus transmission risk | 0.647633 |
| active transmission | 0.396942 |
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