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Centers for Disease Control and Prevention |
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January 6, 2010: Infections with the Outbreak Strain of E. coli O157:H7 By Date of Report to PulseNet | E. coli CDC |
Get the latest CDC information on the recent infections from ground beef, and find out what you can do to protect yourself and your family. |
| O157 | 0.381358 |
| average | 0.321868 |
| CDC | 0.326867 |
| Poultry | 0.322579 |
| *Note | 0.319382 |
| illness onset* | 0.422909 |
| number | 0.319138 |
| PulseNet | E. | 0.414394 |
| Illnesses | 0.321146 |
| Onset date | 0.418535 |
| epi curve | 0.423361 |
| epidemic curve | 0.419979 |
| Beef | 0.322907 |
|
| H7 By Date | 0.51739 |
| E. coli | 0.962199 |
| outbreak strain | 0.764463 |
| Outbreak Investigations | 0.510549 |
| Report | 0.321976 |
| E. coli Cases | 0.600323 |
| Reporting | 0.318211 |
| persons | 0.319115 |
| Timeline | 0.318235 |
| H7 Infections Associated | 0.638112 |
| National Steak | 0.421776 |
| illness onset | 0.444948 |
| chart | 0.334348 |
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Centers for Disease Control and Prevention |
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April 7, 2011: Outbreak of E. coli O157:H7 Infections Associated with In-shell Hazelnuts Epi Curve | E. coli CDC |
FDA, CDC, and Costco warn consumers to avoid Bravo Farms Dutch Style Gouda cheese |
| O157 | 0.367655 |
| average | 0.326387 |
| CDC | 0.332194 |
| E. coli Cases | 0.626731 |
| people | 0.32288 |
| In-shell Hazelnuts Epi | 0.659789 |
| number | 0.322912 |
| Timeline | 0.321166 |
| Persons | 0.323406 |
| person | 0.322292 |
|
| outbreak | 0.611147 |
| H7 Infections Associated | 0.76696 |
| epi curve | 0.619213 |
| epidemic curve | 0.459142 |
| illness onset | 0.444174 |
| time | 0.321325 |
| chart | 0.345604 |
| E. coli | 0.910577 |
| Multistate Outbreak | 0.561065 |
| outbreak strain | 0.549735 |
|
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Centers for Disease Control and Prevention |
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tert-Butyl alcohol - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Centers for Disease Control and Prevention |
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CDC Media Relations - Press Release: August 2, 2011 |
Majority of U.S. hospitals do not fully support breastfeeding
New CDC report shows missed opportunities for preventing childhood obesity beginning at birth |
| CDC′s national survey | 0.52942 |
| healthy breastfeeding infants | 0.825713 |
| hospital practices | 0.624891 |
| Changing hospital practices | 0.537114 |
| Mortality Weekly Report | 0.511289 |
| hospital staff | 0.450115 |
| lactation consultants | 0.422541 |
| important strategy | 0.43646 |
| model breastfeeding | 0.733008 |
| Health Promotion | 0.432311 |
| mothers | 0.609947 |
| Disease Control | 0.434702 |
| CDC journal Morbidity | 0.517185 |
| state breastfeeding rates | 0.781015 |
| World Breastfeeding | 0.688641 |
| proven hospital practices | 0.554848 |
| baby spend | 0.424039 |
| reduced risk | 0.431484 |
| Low rates | 0.421827 |
| important support systems | 0.560545 |
| health care costs | 0.540564 |
| Successful Breastfeeding | 0.704574 |
| support mothers | 0.58919 |
| important things | 0.427603 |
| Vital Signs | 0.789189 |
|
| children′s health | 0.453295 |
| hospital stay | 0.436967 |
| motor vehicle passenger | 0.499136 |
| U.S. hospitals | 0.604429 |
| percent | 0.438571 |
| critical. Hospitals | 0.499408 |
| cardiovascular health | 0.423308 |
| Baby–Friendly Hospital Initiative | 0.541461 |
| CDC′s mPINC survey | 0.521916 |
| hospitals practice | 0.493212 |
| prescription drug overdose | 0.502902 |
| support many women | 0.451507 |
| key health indicators | 0.507143 |
| Vital Signs report | 0.595304 |
| better hospital support | 0.621655 |
| R. Frieden | 0.433242 |
| Chronic Disease Prevention | 0.508662 |
| childhood obesity | 0.547053 |
| CDC report | 0.440782 |
| breastfeeding | 0.917003 |
| medical costs. Babies | 0.567845 |
| newborn. Breastfeeding | 0.738503 |
| Maternity Practices | 0.429764 |
| CDC Director Thomas | 0.552454 |
|
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Centers for Disease Control and Prevention |
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Smoking-Attributable Mortality, Years of Potential Life Lost, and Productivity Losses --- United States, 2000--2004 |
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| smoking prevalence rates | 0.502554 |
| age-specific smoking-attributable deaths | 0.655136 |
| smoking-attributable productivity losses | 0.5064 |
| ischemic heart disease | 0.596836 |
| cancer deaths | 0.468311 |
| annual smoking-attributable health-care | 0.457688 |
| National Health Interview | 0.481636 |
| smoking-attributable diseases | 0.422261 |
| Smoking-attributable fractions | 0.404951 |
| lung cancer | 0.542576 |
| smoking-attributable residential fires | 0.551833 |
| pediatric RR estimates | 0.419554 |
| productivity loss estimates | 0.434135 |
| estimates | 0.47274 |
| premature deaths | 0.43606 |
| Future SAMMEC estimates | 0.410945 |
| Health Interview Survey | 0.48477 |
| different smoking histories | 0.453872 |
| United States health-care | 0.366948 |
| relative risk | 0.448929 |
| attributable disease morbidity | 0.385497 |
| chronic airway obstruction | 0.430447 |
| Smoking-attributable YPLL | 0.428184 |
| smoking-attributable fraction | 0.421535 |
| preventable deaths | 0.43535 |
|
| maternal smoking prevalence | 0.523075 |
| obstructive pulmonary disease | 0.489036 |
| secondhand smoking | 0.422126 |
| smoking prevalence | 0.816202 |
| smoking-attributable health-care expenditures | 0.569389 |
| cerebrovascular disease deaths | 0.525936 |
| cigar smoking | 0.401239 |
| United States | 0.64474 |
| early cardiovascular disease | 0.374523 |
| smoking-attributable deaths | 0.913619 |
| cigarette smoking | 0.641724 |
| public health burden | 0.488479 |
| productivity losses | 0.850024 |
| heart disease | 0.780308 |
| public health | 0.576377 |
| heart disease deaths | 0.630262 |
| adult deaths | 0.426072 |
| relative risk estimates | 0.428991 |
| infant deaths | 0.423316 |
| cigarette smoking prevalence | 0.530821 |
| annual SAM estimates | 0.435539 |
| smoking-attributable mortality | 0.439169 |
| smoking-attributable costs | 0.390685 |
| coronary heart disease | 0.462086 |
|
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Centers for Disease Control and Prevention |
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Tasas del cáncer colorrectal por raza y grupo étnico |
Comparación de casos de cáncer colorrectal por raza y grupo étnico. |
| Archivo Apple Quicktime | 0.636654 |
| Archivo RealPlayer | 0.599269 |
| Censo P25-1130 | 0.726284 |
| §Los datos | 0.57055 |
| ¶Los datos | 0.589931 |
| Archivo Microsoft PowerPoint | 0.658109 |
| Archivo Adobe PDF | 0.638228 |
| Estados Unidos | 0.996341 |
|
| Archivo Microsoft | 0.838717 |
| Archivo Microsoft Word | 0.65572 |
| Archivo Texto | 0.590013 |
| potenciales diferencias | 0.714137 |
| Archivo Zip Comprimido | 0.635819 |
| razas blancos | 0.773014 |
| Archivo Microsoft Excel | 0.644193 |
|
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Mixing Tobacco Products | Overviews of Diseases/Conditions |Tips From Former Smokers | CDC |
Get the facts about how mixing tobacco products, such as cigarettes and e-cigarettes, can effect your health. |
| tobacco product—you | 0.452634 |
| smoking-related disease | 0.45527 |
| health insurance | 0.484794 |
| A. Health Consequences | 0.58293 |
| Reduced Daily Cigarette | 0.5301 |
| light smokers | 0.517937 |
| health plans | 0.484732 |
| electronic cigarettes | 0.524487 |
| Quit Guide | 0.482768 |
| Human Services | 0.997895 |
| health differences | 0.488824 |
| U.S. Department | 0.998305 |
| Health Promotion | 0.624179 |
| Disease Control | 0.672927 |
| National Center | 0.618229 |
| population health | 0.469083 |
| Health Promot. | 0.4738 |
| cessation counseling | 0.51996 |
| Health Benefits | 0.473827 |
| quit plan | 0.481752 |
| CDC fact sheet | 0.521084 |
| tobacco products | 0.451617 |
| State Medicaid programs | 0.526241 |
| health problems | 0.509771 |
| social smokers | 0.750208 |
|
| social smoking | 0.538849 |
| Health Consequences | 0.742109 |
| cigarette smoking | 0.550906 |
| regular cigarettes | 0.687826 |
| early death | 0.76209 |
| heart disease | 0.648058 |
| smoking | 0.848336 |
| National Cancer Institute | 0.508709 |
| Heavy smokers | 0.502158 |
| completely quitting smoking | 0.746691 |
| Jun | 0.537202 |
| Smoke Causes Disease | 0.538795 |
| FDA-approved cessation medications | 0.535101 |
| health | 0.992131 |
| Tobacco Control | 0.525732 |
| cigarette smokers | 0.514441 |
| similar blood pressure | 0.539571 |
| heart disease risk | 0.571466 |
| Chronic Disease Prevention | 0.858686 |
| certain social situations | 0.536629 |
| Surgeon General | 0.663921 |
| smokeless tobacco | 0.451611 |
| K. Health Consequences | 0.579633 |
| major cardiovascular risk | 0.519519 |
|
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Hierarchy of Controls - NIOSH Workplace Safety and Health Topic |
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| illnesses | 0.347444 |
| engineering control technologies | 0.73037 |
| fundamental method | 0.595448 |
| source | 0.346614 |
| inherently safer systems | 0.811898 |
| major changes | 0.55873 |
| PtD website | 0.660643 |
| control methods | 0.558673 |
| contact | 0.346545 |
| injury | 0.350386 |
| prevention | 0.391309 |
| significant effort | 0.535793 |
| effective control solutions | 0.809913 |
| control details | 0.535647 |
| personal protective equipment | 0.74619 |
| NIOSH | 0.431919 |
| hierarchy | 0.621393 |
| longer term | 0.534842 |
| initial cost | 0.535675 |
| Engineering Controls Database | 0.733482 |
| worker interactions | 0.570913 |
| PtD strategy | 0.652047 |
| long term | 0.538562 |
| designs | 0.349672 |
| development stage | 0.561509 |
|
| PPE programs | 0.639685 |
| high level | 0.550833 |
| cost savings | 0.529541 |
| substitution | 0.434028 |
| instances | 0.350573 |
| idea | 0.346714 |
| protection | 0.345951 |
| representation | 0.354357 |
| inclusion | 0.350551 |
| occupational hazards | 0.625198 |
| engineering controls | 0.951321 |
| procedures | 0.347375 |
| workers | 0.550579 |
| elimination | 0.418824 |
| means | 0.348124 |
| process | 0.485007 |
| occupational injuries | 0.55556 |
| implementation | 0.35053 |
| Well-designed engineering controls | 0.767971 |
| national initiative | 0.566628 |
| considerations | 0.34936 |
| administrative controls | 0.835694 |
| fatalities | 0.362784 |
| worker exposures | 0.774595 |
|
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March 28th 2015 1st Quarter Community Meeting FairingtonFarms HOA |
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. |
| free drinking water | 0.580206 |
| lunchtime intake | 0.503515 |
| water dispensers | 0.626306 |
| cafeteria water source | 0.492395 |
| Culligan bottleless water | 0.496745 |
| intervention water sources | 0.541567 |
| water delivery systems | 0.552413 |
| new water source | 0.492491 |
| intervention schools | 0.534219 |
| cafeteria water sources | 0.516993 |
| San Francisco Bay | 0.549821 |
| bottleless water cooler | 0.59737 |
| middle schools | 0.542688 |
| water | 0.978429 |
| traditional drinking fountains | 0.606033 |
| reusable water | 0.492525 |
| traditional water fountains | 0.503357 |
| schools | 0.768801 |
| appealing water sources | 0.578315 |
| water cooler programs | 0.505372 |
| cafeteria water delivery | 0.512134 |
| African American students | 0.501565 |
| low-income middle schools | 0.517492 |
| school water access | 0.516375 |
|
| water sources | 0.793996 |
| study | 0.543082 |
| staff flushed water | 0.493751 |
| cafeteria water | 0.522266 |
| bottled water | 0.49381 |
| lunchtime water consumption | 0.519015 |
| students | 0.704378 |
| Francisco Bay Area | 0.551317 |
| beverage intake | 0.52452 |
| lunchtime beverage intake | 0.497565 |
| water intake | 0.622172 |
| school cafeterias | 0.498249 |
| cups | 0.492775 |
| free water | 0.556389 |
| student sociodemographic characteristics | 0.524538 |
| lunchtime | 0.537253 |
| bottleless water coolers | 0.592469 |
| sub-standard water quality | 0.495167 |
| San Francisco | 0.589153 |
| water delivery sources | 0.493372 |
| reusable water bottles | 0.491602 |
| control schools | 0.556282 |
| free water sources | 0.530317 |
| free potable water | 0.500959 |
|
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Update: Domestic H5 Outbreak in Birds |
Update: Domestic H5 Outbreak in Birds - CDC |
| H7N9 viruses | 0.591771 |
| avian influenza | 0.602205 |
| CDC | 0.534139 |
| human cases | 0.504899 |
| infected birds | 0.647737 |
| close exposures | 0.495713 |
| British Columbia province | 0.502549 |
| human health | 0.529991 |
| alert network advisory | 0.510532 |
| infected flocks | 0.495499 |
| H5 bird flu | 0.597983 |
| pathogenic avian influenza | 0.541914 |
| bird flu viruses | 0.647339 |
| HPAI H5N2 viruses | 0.631567 |
| viruses | 0.82786 |
| H5N1 viruses | 0.607674 |
| personal protective equipment | 0.510645 |
| H5 exposure information | 0.581701 |
| H5 Asian viruses | 0.693466 |
| influenza A H5 | 0.556341 |
| EID report details | 0.525323 |
| dead infected poultry | 0.578424 |
| Infectious Diseases | 0.532407 |
| severe disease | 0.518543 |
| human infection | 0.624394 |
|
| H3N2 seasonal influenza | 0.512758 |
| HPAI H5 virus | 0.592955 |
| United States | 0.966282 |
| birds | 0.699389 |
| acute respiratory infection | 0.513426 |
| HPAI H5N1 virus | 0.530124 |
| wild birds | 0.596935 |
| sporadic human infections | 0.534696 |
| human exposures | 0.598653 |
| bird flu outbreaks | 0.513799 |
| HPAI H5N8 viruses | 0.676319 |
| CDC recommendations | 0.527136 |
| Infectious Diseases paper | 0.509161 |
| people | 0.560649 |
| U.S. birds | 0.518221 |
| H5N1 Eurasian virus | 0.524375 |
| human infections | 0.64074 |
| North American viruses | 0.620224 |
| transcriptase-polymerase chain reaction | 0.506214 |
| H5 viruses | 0.733299 |
| Emerging Infectious Diseases | 0.519955 |
| similar HPAI H5N8 | 0.512836 |
| direct exposures | 0.491033 |
| new reassortant viruses | 0.64842 |
|
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