| 772 |
Centers for Disease Control and Prevention |
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Histoplasmosis Outbreak Associated with the Renovation of anOld House - Quebec, Canada, 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. |
| Public Health | 0.713989 |
| clinical cases | 0.628014 |
| positive urinary HC | 0.636878 |
| clinical case definition | 0.717482 |
| demolition dust exposure | 0.710801 |
| century-old brick house | 0.636985 |
| environmental health | 0.660285 |
| joint infectious disease | 0.768229 |
| respiratory symptoms | 0.933913 |
| old houses | 0.696555 |
| Jean-Luc Grenier | 0.621483 |
| demolition | 0.904399 |
| histoplasmosis | 0.841979 |
| occupational health investigation | 0.776249 |
| urinary HC antigen | 0.736841 |
| Regional Occupational Health | 0.634802 |
| workers | 0.787623 |
| histoplasmosis cases | 0.635697 |
| demolition debris | 0.804358 |
| Montreal tertiary-care center | 0.626912 |
| debris sorters | 0.889764 |
| Laurentian Regional Dept | 0.7353 |
| construction work | 0.647878 |
| consulting physician | 0.650141 |
|
| personal protective equipment | 0.638858 |
| communicate health risks | 0.631313 |
| HC antigen test | 0.738937 |
| work-site debris | 0.623556 |
| potentially exposed persons | 0.702831 |
| symptomatic persons | 0.658182 |
| high exposure scenario | 0.637387 |
| old masonry elements | 0.647506 |
| emergency department | 0.627945 |
| exterior walls | 0.622965 |
| persons | 0.89587 |
| bat droppings | 0.69614 |
| Laurentian Regional Department | 0.660217 |
| strong correlation | 0.635649 |
| HC antigen | 0.758762 |
| demolition site | 0.894565 |
| histoplasmosis outbreaks | 0.695007 |
| compatible clinical manifestations | 0.625455 |
| fungus Histoplasma capsulatum | 0.63185 |
| masons | 0.629382 |
| ground floor | 0.628148 |
| health risks | 0.632419 |
| demolition work | 0.858375 |
|
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| 6311 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease: November 2011: 10_0253a |
null |
| quality-adjusted life-year | 0.542285 |
| participation | 0.428479 |
| associations | 0.42695 |
| Centers | 0.443707 |
| CDC | 0.430319 |
| Cholesterol Reference Method | 0.928507 |
| causal pathways | 0.586262 |
| inputs | 0.442898 |
| Lung | 0.427499 |
| columns | 0.426259 |
| findings | 0.425255 |
| arrows | 0.491969 |
| official position | 0.536579 |
| Benefits | 0.422304 |
| Method Laboratory Network | 0.891364 |
| Cost | 0.422958 |
| Prevention | 0.443563 |
| relationships | 0.424668 |
| Disease Control | 0.664488 |
| CRMLN | 0.444064 |
| Lipid Standardization Program | 0.957512 |
|
| Abbreviations | 0.434218 |
| column group | 0.550772 |
| flow | 0.427082 |
| National Heart | 0.543767 |
| chart depicting program | 0.715143 |
| Return | 0.461455 |
| Reference Method Laboratory | 0.891682 |
| conclusions | 0.432748 |
| logic model | 0.846173 |
| LSP | 0.504955 |
| program elements | 0.686581 |
| article | 0.445955 |
| Figure | 0.462083 |
| Blood Institute | 0.543212 |
| NHLBI | 0.444135 |
| principal investigator | 0.552778 |
| activities | 0.426432 |
| QALY | 0.423066 |
| short | 0.42635 |
| programs | 0.422912 |
|
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| 6491 |
Centers for Disease Control and Prevention |
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Restricting unhealthful food advertising to children and the First Amendment [response to letter] |
We agree with Dr Rossen that government should be able to engage more directly in restricting advertising to children. However, the First Amendment, as currently construed by the US Supreme Court, makes content-based signage restrictions constitutionally vulnerable. |
| Supreme Court decision | 0.562285 |
| Human Services | 0.473322 |
| specific local policies | 0.542639 |
| advertising | 0.488427 |
| commercial speech | 0.552639 |
| content-based signage restrictions | 0.571079 |
| valid point | 0.481202 |
| local governments | 0.470063 |
| local government policies | 0.548931 |
| stronger rationale | 0.482385 |
| commercial speakers | 0.478875 |
| U.S. Department | 0.473384 |
| Supreme Court doctrine | 0.573232 |
| Disease Control | 0.473186 |
| young children | 0.486666 |
| child-directed websites | 0.482568 |
| food advertisements | 0.475444 |
| certain products | 0.478006 |
| major decision | 0.47587 |
| ever-changing limits | 0.47353 |
| Food Policy | 0.470412 |
| Samantha K. Graff | 0.538636 |
| Lorillard case | 0.495308 |
| child-protective speech restriction | 0.556068 |
| New Haven | 0.473409 |
|
| affiliated institutions | 0.473075 |
| messages | 0.428298 |
| United States | 0.473336 |
| fine line | 0.473704 |
| advertising regulations | 0.485618 |
| industry | 0.426452 |
| Central Hudson test | 0.690636 |
| Yale University | 0.473005 |
| store window clutter | 0.551157 |
| Amendment challenge | 0.483322 |
| public health | 0.604179 |
| Dr Rossen | 0.92772 |
| Jennifer L. Harris | 0.526678 |
| children’s television | 0.485207 |
| Supreme Court | 0.812159 |
| Rudd Center | 0.473614 |
| harmful food marketing | 0.531868 |
| adult audience | 0.479512 |
| Public Health Service | 0.534192 |
| Public Health Law | 0.53458 |
| prong | 0.463911 |
| potential law | 0.473044 |
| past decade | 0.490045 |
| little evidence | 0.474168 |
|
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| 6649 |
Centers for Disease Control and Prevention |
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The simple health system rules that create value. |
In 1991, Plsek sought to improve the quality of health care by challenging the readers of Crossing the Quality Chasm to find the few simple rules that might guide the local development of the 21st century health system. |
| 21st century health | 0.611007 |
| multispecialty clinic systems | 0.523923 |
| health system goals | 0.64327 |
| health insurance | 0.529607 |
| health plans | 0.586029 |
| Triple Aim | 0.591457 |
| ideal health | 0.593796 |
| regional health | 0.532601 |
| Twin Cities | 0.528504 |
| systems science | 0.579287 |
| health care professionals | 0.622245 |
| health systems | 0.756422 |
| Community Health initiative | 0.581143 |
| population health | 0.658198 |
| agreed-on health | 0.642641 |
| stakeholder incentives | 0.550142 |
| health assessments | 0.53334 |
| health care costs | 0.623956 |
| Evidence-Based Health | 0.531803 |
| health care regulations | 0.603033 |
| chief executive officer | 0.549763 |
| simple rules | 0.829932 |
| Health Advisory Group | 0.574622 |
| HealthPartners Research Foundation | 0.527428 |
| electronic health record | 0.58065 |
|
| complex adaptive systems | 0.523537 |
| Population Health Institute | 0.585488 |
| operating rules | 0.592561 |
| health system stakeholders | 0.566431 |
| measurable goals | 0.530399 |
| entire health | 0.542089 |
| value | 0.653182 |
| health care | 0.796834 |
| worksite health promotion | 0.764937 |
| health promotion programs | 0.729712 |
| current health | 0.549248 |
| Quality Chasm | 0.660727 |
| health system rules | 0.61036 |
| employer-sponsored worksite health | 0.681173 |
| health | 0.966875 |
| HealthPartners | 0.675354 |
| high-value health services | 0.580004 |
| Minnesota Health Scores | 0.666108 |
| employee/dependent health | 0.536813 |
| Thomas E. Kottke | 0.603592 |
| patient experience | 0.615921 |
| Public Health Service | 0.575385 |
| large care network | 0.534686 |
| employee health | 0.544635 |
|
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| 7316 |
Centers for Disease Control and Prevention |
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Evaluation of Rapid Influenza Diagnostic Tests for Influenza A (H3N2)v Virus and Updated Case Count - United States, 2012 |
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. |
| H3N2v infections | 0.405837 |
| influenza strains | 0.307485 |
| additional diagnostic testing | 0.24466 |
| influenza infection | 0.378199 |
| H3N2v virus infection | 0.61607 |
| United States | 0.268431 |
| Lynnette Brammer | 0.258021 |
| presumptive-positive test results | 0.267985 |
| H3N2v cases | 0.257853 |
| negative RIDT result | 0.241584 |
| influenza-like illness | 0.307933 |
| Madin-Darby Canine Kidney | 0.249241 |
| nasal washes | 0.254711 |
| seasonal influenza viruses | 0.415429 |
| pandemic influenza | 0.339604 |
| CDC Flu Real-Time | 0.33528 |
| U.S. public health | 0.296253 |
| MMWR Early Release | 0.274989 |
| influenza H3N2v virus | 0.46839 |
| influenza illness onset | 0.38148 |
| various respiratory specimens | 0.245676 |
| H3N2v infection | 0.305767 |
| Polymerase Chain Reaction | 0.270364 |
|
| CDC Flu rRT-PCR | 0.568803 |
| Flu rRT-PCR Dx | 0.533785 |
| CDC Influenza Division | 0.413241 |
| results interpretation | 0.268519 |
| limited human-to-human transmission | 0.240603 |
| cases | 0.401943 |
| false RIDT results | 0.247417 |
| pandemic H1 markers | 0.257441 |
| chronic medical conditions | 0.240735 |
| CDC laboratory | 0.240128 |
| negative RIDT | 0.243983 |
| RIDTs | 0.285979 |
| H3N2v viruses | 0.631499 |
| influenza complications | 0.312805 |
| local public health | 0.293585 |
| antiviral treatment | 0.242812 |
| virus* infection | 0.242884 |
| Additional CDC guidance | 0.281646 |
| Indiana State Dept | 0.256866 |
| public health laboratories | 0.974714 |
| rapid influenza | 0.495061 |
| public health laboratory | 0.400425 |
|
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| 9120 |
Centers for Disease Control and Prevention |
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Asthma - Asthma Call-back Survey Prevalence - Table 12 |
Multiple Year (2006 - 2010) Child Asthma Call-back Survey Prevalence Table 12 |
| Microsoft PowerPoint file | 0.4162 |
| ePub file | 0.374175 |
| Audio/Video file | 0.370511 |
| Email CDC-INFO | 0.360085 |
| Sample size | 0.361439 |
| BRFSS Asthma Call-back | 0.52322 |
| Microsoft Word file | 0.417954 |
| New Mexico206 | 0.369253 |
| Standard error | 0.36206 |
| Child Asthma Call-back | 0.729127 |
| U.S. Department | 0.359543 |
| Clifton Road Atlanta | 0.407761 |
| New Jersey263 | 0.369398 |
| Microsoft Excel file | 0.415376 |
| Tweet Share Compartir | 0.430386 |
| New York238 | 0.369109 |
| list Skip | 0.380358 |
| Asthma Call-back Survey | 0.962142 |
| page options Skip | 0.440761 |
| West Virginia158 | 0.365328 |
| Prevalence Tables Table | 0.448409 |
| different file formats | 0.418397 |
| New Hampshire126 | 0.369543 |
| Apple Quicktime file | 0.416633 |
| Specific Groups | 0.360312 |
|
| NCHS Asthma FastStats | 0.466948 |
| CDC A-Z | 0.394996 |
| National Asthma Control | 0.459781 |
| RealPlayer file | 0.371146 |
| Adobe PDF file | 0.416563 |
| North Dakota86 | 0.36537 |
| Basic Information | 0.363533 |
| United States | 0.367867 |
| Survey Questions | 0.365319 |
| Search Form Controls | 0.550586 |
| Call-back Survey Prevalence | 0.849697 |
| file | 0.427607 |
| Survey Prevalence Tables | 0.6489 |
| A-Z Index | 0.377002 |
| Graphs Asthma Call-back | 0.501927 |
| Search Controls | 0.434925 |
| asthma status | 0.427901 |
| Confidence interval | 0.361707 |
| Rhode Island139 | 0.363185 |
| NHIS Prevalence Data | 0.425106 |
| Text file | 0.372484 |
| past year3 | 0.367976 |
| Program Evaluation | 0.359969 |
| RIS file | 0.373539 |
|
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| 13594 |
Centers for Disease Control and Prevention |
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Neighborhood Food Environment, Diet, and Obesity Among Los Angeles County Adults, 2011 |
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. |
| neighborhood food outlets | 0.406032 |
| convenience stores | 0.538765 |
| fast food | 0.426317 |
| United States | 0.373414 |
| Los Angeles County | 0.956774 |
| relevant financial relationships | 0.374034 |
| food deserts | 0.376071 |
| 0.25-mile radius | 0.37794 |
| food outlet types | 0.470319 |
| buffer size | 0.393844 |
| mechanical devices | 0.373439 |
| number | 0.409232 |
| Angeles County Health | 0.489486 |
| Los Angeles Fast-Food | 0.378457 |
| fast-food outlets | 0.504982 |
| dietary intake | 0.448536 |
| small food stores | 0.575025 |
| local food environments | 0.371152 |
| food consumption indicators | 0.378529 |
| food outlet data | 0.409927 |
| Food Access Research | 0.404598 |
| food desert map | 0.375675 |
| sugar-sweetened beverages | 0.436864 |
|
| food environments | 0.397837 |
| supermarkets | 0.376075 |
| explanatory variables | 0.377351 |
| BMI | 0.52014 |
| food environment | 0.568377 |
| food environment characteristics | 0.378585 |
| County Health Survey | 0.488508 |
| Amy S. Lightstone | 0.40627 |
| body mass index | 0.415622 |
| fast-food restaurants | 0.413974 |
| midsize grocery stores | 0.404691 |
| small food store | 0.386687 |
| grocery stores | 0.473163 |
| fast-food consumption | 0.383035 |
| fast-food intake | 0.381939 |
| Food intake measures | 0.381096 |
| Bonferroni’s adjustment | 0.421116 |
| respondents | 0.384312 |
| physical food outlets | 0.419694 |
| census tract–level characteristics | 0.372173 |
| neighborhood food environment | 0.431029 |
| census tract | 0.525386 |
| food outlets | 0.802807 |
|
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| 13691 |
Centers for Disease Control and Prevention |
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Notes from the Field: Vancomycin-Resistant Staphylococcus aureus - Delaware, 2015 |
Maroya Spalding Walters, PhD1; Paula Eggers2; Valerie Albrecht, MPH1; Tatiana Travis1; David Lonsway, MMSc1; Greg Hovan, MBA3; Debra Taylor, MPH1; Kamile Rasheed, PhD1; Brandi Limbago, PhD1; Alexander Kallen, MD1. |
| VRE | 0.413715 |
| wound clinic health | 0.454016 |
| MRSA progenitor strains | 0.442879 |
| VRSA isolation | 0.724323 |
| fourteenth VRSA | 0.724002 |
| VRE toe | 0.406977 |
| methicillin-resistant S. aureus | 0.449738 |
| Zoonotic Infectious Diseases | 0.400172 |
| health care providers | 0.489501 |
| dialysis clinic workers | 0.437079 |
| dialysis shift | 0.433999 |
| nasal swab | 0.432007 |
| VRSA strains | 0.730009 |
| VRSA | 0.933155 |
| Vancomycin-resistant Staphylococcus aureus | 0.480264 |
| Delaware public health | 0.424291 |
| end-stage renal disease | 0.414807 |
| S. aureus protein | 0.435664 |
| Brandi Limbago | 0.369338 |
| minimum inhibitory concentration | 0.42272 |
| Kamile Rasheed | 0.375843 |
| public health response | 0.4196 |
| community-associated strain background | 0.411668 |
| Greg Hovan | 0.369557 |
| MRSA isolate | 0.409454 |
|
| vancomycin-resistant Enterococcus faecalis | 0.437998 |
| vancomycin binding site | 0.458529 |
| United States | 0.547886 |
| vancomycin resistance genes | 0.457969 |
| VRSA investigation | 0.668049 |
| vanA operon | 0.448501 |
| Pulsed-field gel electrophoresis | 0.406343 |
| S. aureus | 0.538586 |
| Healthcare Quality Promotion | 0.479105 |
| nasal swab surveillance | 0.418988 |
| antibiotic resistance program | 0.403247 |
| health care workers | 0.506297 |
| public health concern | 0.447584 |
| dialysis patients | 0.431005 |
| local health departments | 0.416161 |
| health care | 0.533323 |
| Maroya Spalding Walters | 0.527839 |
| public health | 0.518675 |
| polymerase chain reaction | 0.407937 |
| Alexander Kallen | 0.369531 |
| vancomycin-resistant enterococci | 0.394909 |
| 3Delaware Public Health | 0.422495 |
| chronic toe wound | 0.442047 |
| VRSA patient | 0.759083 |
|
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| 14311 |
Centers for Disease Control and Prevention |
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Reducing Sodium: From Menu to Mouth |
null |
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| 15422 |
Centers for Disease Control and Prevention |
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Preventing Transmission of Zika Virus in Labor and DeliverySettings Through Implementation of Standard Precautions - UnitedStates, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| PPE | 0.271343 |
| Standard Precautions | 0.513663 |
| appropriate PPE | 0.220755 |
| Zika virus | 0.518898 |
| care personnel clothing | 0.206108 |
| Zika virus infection | 0.292099 |
| mucous membranes | 0.208209 |
| recent Zika virus | 0.201692 |
| health care delivery | 0.226361 |
| specific PPE help | 0.208857 |
| Zoonotic Infectious Diseases | 0.223635 |
| health care personnel | 0.981674 |
|
| health care providers | 0.220791 |
| potentially infectious material | 0.214486 |
| National Center | 0.216081 |
| health care setting | 0.262865 |
| Patient body fluids | 0.201681 |
| female health care | 0.239963 |
| body fluids | 0.571945 |
| patient care | 0.206926 |
| infection prevention | 0.203174 |
| Zika virus transmission | 0.209179 |
| health care settings | 0.350819 |
| Non–health care personnel | 0.201592 |
|
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