| 751 |
Centers for Disease Control and Prevention |
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Announcement: Smartphone Application Available for ExtensionLadder Safety |
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. | 0.375896 |
| extension ladder users | 0.642582 |
| convenient training tool | 0.48773 |
| endorsement | 0.279844 |
| Human Services | 0.487082 |
| assistive technology | 0.379336 |
| consensus standards | 0.354166 |
| safety regulations | 0.38098 |
| U.S. Department | 0.483312 |
| MMWR HTML versions | 0.474755 |
| vibration signals | 0.352177 |
| electronic PDF version | 0.460208 |
| safety guidelines | 0.384138 |
| Google Android devices | 0.480385 |
| e-mail | 0.254349 |
| graphic-oriented interactive reference | 0.489149 |
| innovative research | 0.35443 |
| extension ladder selection | 0.627695 |
| additional information | 0.356092 |
| Contact GPO | 0.380961 |
| commercial sources | 0.350006 |
| significant risk factor | 0.490508 |
| current prices | 0.344676 |
| optimal angle | 0.370647 |
|
| original paper copy | 0.469782 |
| U.S. Government Printing | 0.473009 |
| original MMWR paper | 0.469025 |
| Superintendent | 0.228989 |
| Occupational Safety | 0.375743 |
| MMWR readers | 0.357708 |
| character translation | 0.342045 |
| ladder angle | 0.513299 |
| free smartphone application | 0.525267 |
| preventable injuries | 0.36566 |
| Persons | 0.228083 |
| format errors | 0.345934 |
| common cause | 0.35595 |
| subject line | 0.372959 |
| Health | 0.271678 |
| ladder safety application | 0.917892 |
| Apple iPhone/iPad | 0.352773 |
| typeset documents | 0.352614 |
| trade names | 0.350127 |
| paper copy | 0.476256 |
| official text | 0.340143 |
| extension ladder | 0.727254 |
| non-CDC sites | 0.348945 |
| electronic conversions | 0.340825 |
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| 6953 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0260 |
Preventable hospitalization for congestive heart failure (CHF) is believed to capture the failure of the outpatient health care system to properly manage and treat CHF. In anticipation of changes in the national health care system, we report baseline rates of these hospitalizations and describe trends by race over 15 years. |
| youngest age group | 0.42215 |
| data | 0.443683 |
| National Hospital Discharge | 0.504733 |
| blacks | 0.55308 |
| future hospitalizations | 0.485633 |
| whites | 0.490117 |
| national health care | 0.468337 |
| Heart Association Task | 0.426776 |
| white men | 0.427572 |
| preventable CHF hospitalization | 0.551044 |
| congestive heart failure | 0.735546 |
| ambulatory heart failure | 0.41529 |
| higher hospitalization rates | 0.472312 |
| hospital discharge rates | 0.427636 |
| heart failure | 0.962408 |
| higher CHF hospitalization | 0.495773 |
| Affordable Care Act | 0.451076 |
| disease management programs | 0.440414 |
| Eligible hospitalizations | 0.480065 |
| non-Hispanic black men | 0.44416 |
| linear trend | 0.527857 |
| black women | 0.427369 |
| baseline rates | 0.418012 |
| care sensitive conditions | 0.425863 |
|
| national CHF hospitalization | 0.514157 |
| United States | 0.453768 |
| Congest Heart Fail | 0.441659 |
| oldest age groups | 0.424254 |
| Hospital Discharge Survey | 0.50297 |
| avoidable hospitalizations | 0.45979 |
| sex-standardized rates | 0.440469 |
| principal diagnosis codes | 0.415536 |
| younger black men | 0.457003 |
| crude rates | 0.49275 |
| health care | 0.477252 |
| Introduction
Preventable hospitalization | 0.442654 |
| failure disease management | 0.444033 |
| black men | 0.665984 |
| preventable CHF hospitalizations | 0.964449 |
| skilled nursing facility | 0.424263 |
| CHF hospitalization rates | 0.674083 |
| heart failure hospitalization | 0.439897 |
| civilian population estimates | 0.439261 |
| heart failure hospitalizations | 0.5364 |
| significantly higher rates | 0.418965 |
| preventable hospitalizations | 0.597484 |
| heart failure disease | 0.465501 |
| et al | 0.420264 |
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| 10497 |
Centers for Disease Control and Prevention |
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Conference Call January 23, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Microsoft PowerPoint file | 0.526323 |
| COCA Partners | 0.571781 |
| critical care | 0.601328 |
| Microsoft Word file | 0.529287 |
| CDC Flu Activity | 0.607495 |
| COCA conference | 0.549974 |
| severe influenza | 0.538584 |
| CDC Seasonal Influenza | 0.64144 |
| 2013-14 Influenza Season | 0.600462 |
| Acute Care Surgery | 0.528938 |
| Nursing Perspective Ebola | 0.547063 |
| Communication Activity | 0.533033 |
| COCA Digest | 0.55868 |
| intensive care unit | 0.61058 |
| health care providers | 0.540232 |
| Influenza Season Activity | 0.646675 |
| Critical Care Medicine | 0.53039 |
| Zika Virus | 0.951163 |
| page options Skip | 0.544555 |
| review CDC recommendations | 0.565411 |
| different file formats | 0.525519 |
| Influenza Antiviral Drugs | 0.587379 |
| Flu Activity | 0.670828 |
| Influenza Division | 0.548286 |
|
| Annual influenza vaccination | 0.584481 |
| Opioid Series | 0.898091 |
| Older Adult Influenza | 0.605438 |
| COCA Mailing List | 0.599533 |
| COCA Calls/Webinars Calls/Webinars | 0.647799 |
| CDC A-Z | 0.549109 |
| critical care physicians | 0.528281 |
| East Respiratory Syndrome | 0.709499 |
| 2017-2018 Flu Season | 0.564496 |
| CDC Health Alert | 0.577039 |
| COCA Newsletters COCA | 0.706841 |
| Pediatric Influenza | 0.563706 |
| Search Form Controls | 0.65146 |
| Surgical Critical Care | 0.530794 |
| Middle East | 0.567957 |
| HIV Care Continuum | 0.528181 |
| Opioid Overdose | 0.547021 |
| influenza season | 0.689091 |
| Search Controls | 0.54429 |
| Pediatric Flu Antivirals | 0.545589 |
| Public Health Preparedness | 0.589614 |
| Primary Care Providers | 0.541005 |
| COCA continuing education | 0.596785 |
| COCA Learn | 0.56185 |
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| 10743 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | An Approach to Assessing Multicity Implementation of Healthful Food Access Policy, Systems, and Environmental Changes - CDC |
Local governments play an increasingly important role in improving residents’ access to healthful food and beverages to reduce obesity and chronic disease. Cities can use multiple strategies to improve community health through, for example, land use and zoning policies, city contracting and procurement practices, sponsorship of farmers markets and community gardens, and vending and concession practices in park and recreation facilities. |
| recreation directors | 0.477303 |
| interviews | 0.476125 |
| possible PSE change | 0.482985 |
| public health departments | 0.537643 |
| parks | 0.505032 |
| city parks | 0.482258 |
| healthful- food retailers | 0.527777 |
| action guides | 0.49189 |
| nutrition standard | 0.477844 |
| community gardens | 0.596179 |
| healthful options | 0.527743 |
| food policy assessment | 0.487014 |
| electronic survey | 0.484822 |
| public health department | 0.598038 |
| local governments | 0.483167 |
| nationally recommended PSE | 0.482805 |
| beverages | 0.526258 |
| local PSE changes | 0.515933 |
| healthful menu | 0.479534 |
| cities | 0.725726 |
| healthful food | 0.919244 |
| recreation | 0.512726 |
| County public health | 0.501308 |
| beverage options | 0.509922 |
|
| PSE changes | 0.597121 |
| city initiatives | 0.482243 |
| local PSE strategies | 0.505558 |
| healthful vending machine | 0.517089 |
| possible PSE options | 0.497593 |
| city | 0.644204 |
| PSE options | 0.571862 |
| Hennepin County | 0.5907 |
| city officials | 0.575503 |
| public health jurisdiction | 0.496978 |
| farmers markets | 0.512234 |
| national PSE recommendations | 0.486186 |
| city official | 0.475659 |
| municipal PSE assessment | 0.486683 |
| city hall | 0.527149 |
| public health | 0.64572 |
| Hennepin County Human | 0.524502 |
| beverage PSE assessment | 0.491077 |
| certain healthful options | 0.503817 |
| similar healthful food | 0.512232 |
| County Human Services | 0.552608 |
| healthful food access | 0.616468 |
| Hennepin County cities | 0.48276 |
| healthful foods | 0.692096 |
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| 11601 |
Centers for Disease Control and Prevention |
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Cancer Prevention in the Workplace Feature |
Your job can have a big influence on your health. Learn how employers can help their employees lower their cancer risk. |
| skin cancer | 0.290337 |
| people’s cigarettes | 0.267874 |
| tobacco-free workplace policies | 0.492435 |
| part-time workers | 0.288886 |
| Temporary contract workers | 0.412065 |
| healthy choices | 0.258087 |
| health topics | 0.283696 |
| outdoor employees | 0.269979 |
| Unhealthy behaviors | 0.3344 |
| preventive screenings | 0.254411 |
| cessation programs | 0.275911 |
| secondhand smoke | 0.412383 |
| government assistance | 0.252617 |
| local fitness clubs | 0.373984 |
| healthy eating | 0.256171 |
| fewer benefits | 0.251996 |
| workplace health promotion | 0.475685 |
| healthful behaviors | 0.315899 |
| Outdoor workers | 0.307728 |
| Harmful exposures | 0.287372 |
| Certain behaviors | 0.317657 |
| weight management programs | 0.399978 |
| certain types | 0.415125 |
| medium-sized employers | 0.273922 |
| cancer health disparities | 0.430284 |
|
| health benefits | 0.271851 |
| healthy behaviors | 0.298551 |
| alcohol consumption | 0.253928 |
| long periods | 0.263099 |
| harmful substances | 0.280927 |
| Workplace wellness programs | 0.71179 |
| health protection programs | 0.417976 |
| health-related products | 0.258194 |
| workplace settings | 0.463921 |
| diesel exhaust | 0.263914 |
| protective gear | 0.260375 |
| workers | 0.439944 |
| health-related behaviors | 0.308263 |
| increases cancer risk | 0.459171 |
| big influence | 0.279764 |
| person’s risk | 0.282794 |
| community organizations | 0.252024 |
| night-shift work | 0.256758 |
| seasonal workers | 0.284259 |
| chronic conditions | 0.532803 |
| physical activity | 0.263381 |
| lower their cancer | 0.303112 |
| cancer risk | 0.905357 |
| poor eating habits | 0.384593 |
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| 11794 |
Centers for Disease Control and Prevention |
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Announcement: National Teen Driver Safety Week - October19-25, 2014 |
During 2003–2012, the number of teens aged 13–19 years who died in motor vehicle crashes declined by 50%, from 5,718 to 2,823 (1). During the same period, the rate of passenger vehicle drivers aged 16–19 years involved in fatal crashes decreased by 52%, from 35.1 to 16. |
| Smith GS | 0.533276 |
| fatal crash rates | 0.662856 |
| Human Services | 0.624773 |
| greater participation | 0.53183 |
| MMWR HTML versions | 0.637636 |
| U.S. Department | 0.621893 |
| Teen Driver Safety | 0.913135 |
| electronic PDF version | 0.626007 |
| youngest drivers | 0.554873 |
| Key campaign website | 0.650419 |
| teen crash deaths | 0.723987 |
| high-risk conditions | 0.542111 |
| Inj Prev | 0.559227 |
| Additional information | 0.533617 |
| crash risk | 0.55202 |
| Contact GPO | 0.551878 |
| good role models | 0.660492 |
| commercial sources | 0.529209 |
| current prices | 0.526309 |
| teen drivers | 0.704018 |
| original paper copy | 0.63186 |
| encouraging trends | 0.539171 |
| seat belts | 0.53761 |
| parents | 0.485292 |
|
| Coben JH | 0.550771 |
| passenger vehicle crashes | 0.724806 |
| U.S. Government Printing | 0.637804 |
| original MMWR paper | 0.633453 |
| learning-to-drive process | 0.537073 |
| teens | 0.469411 |
| longer practice periods | 0.644601 |
| driver licensing | 0.655789 |
| parent-teen driving agreement | 0.655352 |
| MMWR readers | 0.535831 |
| character translation | 0.523403 |
| GDL programs | 0.710232 |
| Traffic Safety Administration | 0.649109 |
| National Teen Driver | 0.913244 |
| format errors | 0.523552 |
| fatal crashes | 0.620548 |
| passenger vehicle drivers | 0.706129 |
| typeset documents | 0.530096 |
| trade names | 0.529293 |
| official text | 0.522022 |
| seat belt | 0.537361 |
| non-CDC sites | 0.528375 |
| motor vehicle crashes | 0.992599 |
| electronic conversions | 0.520909 |
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| 12237 |
Centers for Disease Control and Prevention |
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Notes from the Field: Aseptic Meningitis Outbreak Associatedwith Echovirus 30 Among High School Football Players - Los AngelesCounty, California, 2014 |
Curtis Croker, MPH1, Rachel Civen, MD1, Kathleen Keough2, Van Ngo, MPH1, Amy Marutani1, Benjamin Schwartz, MD1 (Author affiliations at end of text). |
| affected high school | 0.246978 |
| Public Health | 0.293448 |
| School staff members | 0.426178 |
| county high school | 0.315486 |
| United States | 0.241557 |
| Los Angeles County | 0.534241 |
| emergency department visit | 0.282414 |
| negative bacterial culture | 0.274567 |
| varsity football team | 0.292796 |
| nonpolio enterovirus serotypes | 0.319322 |
| aseptic meningitis outbreaks | 0.433905 |
| polymerase chain reaction | 0.267637 |
| Rickettsial Disease Laboratory | 0.278182 |
| Summer football league | 0.262262 |
| 1Acute Communicable Disease | 0.293577 |
|
| outbreak-associated aseptic meningitis | 0.473626 |
| aseptic meningitis cases | 0.516239 |
| emergency department | 0.290083 |
| Communicable Disease Control | 0.744662 |
| relative risk | 0.250624 |
| poor hand hygiene | 0.240604 |
| Disease Control Program | 0.702814 |
| water bottles | 0.332153 |
| aseptic meningitis outbreak | 0.44802 |
| Acute Communicable Disease | 0.571449 |
| Angeles County Department | 0.528217 |
| football players | 0.506685 |
| proper hand hygiene | 0.246777 |
| cerebrospinal fluid pleocytosis | 0.287202 |
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| 12386 |
Centers for Disease Control and Prevention |
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Sexually Transmitted Infections Among Young Americans (150W x 194H) |
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| 13360 |
Centers for Disease Control and Prevention |
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Improving Health and Quality of Life After Cancer |
At least one-third of the more than 14 million survivors in the United States face physical, mental, social, job, or financial problems related to their cancer experience. Learn what can be done. |
| Li C. Current | 0.500521 |
| adult cancer survivors | 0.661382 |
| cancer treatment | 0.53651 |
| emotional distress | 0.455112 |
| treatment ends | 0.459412 |
| work-related concerns | 0.468573 |
| money problems | 0.457264 |
| National Health Interview | 0.519108 |
| Forsythe LP | 0.459501 |
| employee assistance programs | 0.499683 |
| Guy GP Jr | 0.492771 |
| Unhealthy behaviors | 0.462791 |
| mental health screening | 0.538417 |
| Recent research | 0.457944 |
| Genetic factors | 0.459125 |
| health care providers | 0.591751 |
| mental health problems | 0.547019 |
| family members | 0.465196 |
| ovarian cancer | 0.500482 |
| social workers | 0.457146 |
| poorer quality | 0.460776 |
| mental health concerns | 0.782519 |
| cancer survivors | 0.997365 |
| Cancer Epidemiology | 0.527802 |
| physical concerns | 0.485197 |
|
| Behavioral Risk Factor | 0.493499 |
| hereditary breast | 0.456429 |
| unused paid time | 0.49668 |
| financial problems | 0.468619 |
| United States | 0.465419 |
| cancer experience | 0.541972 |
| non-traditional work schedule | 0.503166 |
| physical health problems.3 | 0.526796 |
| social support services | 0.503533 |
| physical health-related quality | 0.503047 |
| cancer screenings | 0.499076 |
| Yabroff KR | 0.508714 |
| patient navigators | 0.455935 |
| Rowland JH | 0.455201 |
| professional counseling | 0.457145 |
| Lynch syndrome | 0.458795 |
| healthy weight | 0.458558 |
| support groups | 0.456926 |
| medical care | 0.459909 |
| physical activity | 0.464793 |
| survivor Sharon McKenna | 0.492892 |
| follow-up care—routine checkups | 0.514245 |
| new cancer | 0.508809 |
| cancer history | 0.493022 |
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| 13755 |
Centers for Disease Control and Prevention |
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Bring Your Own Brave Campaign - Genetic Counselor (1024W x 512H) |
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CLICK HERE |