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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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Centers for Disease Control and Prevention |
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Notes from the Field: Reports of Expired Live AttenuatedInfluenza Vaccine Being Administered - United States,2007-2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| health risk | 0.463178 |
| administration | 0.388628 |
| expired vaccine | 0.947863 |
| valid dose | 0.465985 |
| Healthcare Quality | 0.460987 |
| Zoonotic Infectious Diseases | 0.597999 |
| Health care providers | 0.587149 |
| Tom Shimabukuro | 0.513184 |
| Paige Lewis | 0.492742 |
| National Center | 0.458314 |
| influenza vaccine | 0.886933 |
| LAIV reports | 0.591616 |
| Penina Haber | 0.670352 |
| early fall | 0.471307 |
| Christopher P. Schembri | 0.668335 |
| vaccine types | 0.644739 |
| Vaccine Adverse Event | 0.778387 |
| inactivated influenza vaccine | 0.865744 |
| Corresponding author | 0.457941 |
| Annual influenza vaccination | 0.734792 |
| vaccination date | 0.48576 |
| contrast | 0.371302 |
| late summer | 0.481383 |
| standard expiration date | 0.686114 |
|
| passive surveillance | 0.625157 |
| 18-week shelf life | 0.646568 |
| 1Immunization Safety Office | 0.595568 |
| Replacement options | 0.455603 |
| expiration date | 0.866097 |
| relatively short shelf | 0.64265 |
| United States | 0.483629 |
| error | 0.402118 |
| adverse health event | 0.619762 |
| small fraction | 0.465612 |
| vaccine recipients | 0.608635 |
| IIV reports | 0.488775 |
| disproportional reporting | 0.460286 |
| short shelf life | 0.904633 |
| expired LAIV | 0.748901 |
| VAERS likely captures | 0.710778 |
| Christopher Ambrose | 0.470178 |
| influenza season | 0.544554 |
| Author affiliations | 0.491566 |
| MPH1 | 0.382406 |
| Beth Hibbs | 0.501136 |
| personal communication | 0.477602 |
| hypothesis | 0.366628 |
| implement measures | 0.450109 |
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Centers for Disease Control and Prevention |
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Potassium cyanide (as CN) - 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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| 8583 |
Centers for Disease Control and Prevention |
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Avian Influenza A H7N9 Publications and Resources |
Publications and resources related to Avian Influenza A (H7N9) - CDC |
| Parry J. H7N9 | 0.568087 |
| avian influenza | 0.946947 |
| Zoonotic Influenza | 0.600769 |
| influenza virus subtypes | 0.644308 |
| H7N9 avian flu | 0.607806 |
| infectious diseases | 0.671565 |
| Live Poultry Market | 0.551857 |
| BMC infectious diseases | 0.557047 |
| Wang | 0.565297 |
| avian flu kills | 0.569339 |
| Virus Infection | 0.563996 |
| h7n9 influenza | 0.736457 |
| Engl J Med. | 0.609407 |
| reassortant avian influenza | 0.657085 |
| Novel Avian-Origin Influenza | 0.625491 |
| Virus Infections | 0.583032 |
| H7N9 virus | 0.62434 |
| avian flu infects | 0.569809 |
| influenza a virus | 0.673489 |
| emergent H7N9 influenza | 0.663225 |
| human infection | 0.608401 |
| Avian Dis. | 0.560191 |
| doi | 0.565494 |
| H9 avian influenza | 0.664481 |
|
| Early H7N9 Outbreaks | 0.553656 |
| novel influenza | 0.663411 |
| Human Influenza | 0.627965 |
| novel avian influenza | 0.663549 |
| novel H7N9 virus | 0.591228 |
| H7N9 Influenza Infection | 0.710912 |
| Virus Subtype H7N9 | 0.58265 |
| origin H7N9 influenza | 0.643873 |
| China | 0.59353 |
| Inapparent Avian Exposure | 0.574034 |
| MS. Avian influenza | 0.655702 |
| Human H7N9 Influenza | 0.637906 |
| Avian diseases | 0.568962 |
| avian influenza virus | 0.734503 |
| Avian H7N9 Influenza | 0.688279 |
| H7N9 avian influenza | 0.712091 |
| avian influenza virus-search | 0.650011 |
| human infections | 0.606681 |
| influenza viruses | 0.618988 |
| live poultry | 0.569509 |
| et al | 0.96967 |
| New England Journal | 0.557608 |
| Liu | 0.561378 |
| New Avian Influenza | 0.669134 |
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Centers for Disease Control and Prevention |
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Naegleria fowleri - Diagnosis - Info for Health Professionals |
Information for health professionals about Naegleria fowleri. Education and information about the brain eating ameba Naegleria fowleri that causes encephalitis and death including frequently asked questions, biology, sources of infection, diagnosis, treatment, prevention and control, and other publications and pertinent information for the public and medical professionals. |
| free-living amebic infections | 0.375827 |
| CDC | 0.369886 |
| Acanthamoeba spp | 0.363288 |
| brain biopsy | 0.341642 |
| following specimens | 0.340461 |
| Emergency Operation Center—770-488-1700 | 0.362708 |
| indirect immunofluorescent antibody | 0.360179 |
| reference diagnostic laboratories | 0.356172 |
| real-time PCR | 0.354843 |
| ameboid trophozoites | 0.364157 |
| freshly-centrifuged CSF sediment | 0.425293 |
| clinical specimens | 0.368647 |
| environmental specimens | 0.344104 |
| autopsy specimens | 0.347499 |
| Infectious Disease Committee. | 0.353019 |
| organ transplantation | 0.348901 |
| state health department | 0.362413 |
| CSF | 0.475449 |
| Naegleria fowleri | 0.905518 |
| ameboid trophozoites measure | 0.361269 |
| higher temperature | 0.380237 |
| Wright-Giemsa stains | 0.362347 |
| E. coli | 0.355231 |
| tissue specimens | 0.397671 |
|
| elevated opening pressure | 0.36616 |
| unrefrigerated cerebrospinal fluid | 0.361969 |
| Laboratory-confirmed Naegleria fowleri | 0.567963 |
| thermophilic free-living amebae | 0.382586 |
| immune alkaline phosphatase | 0.358616 |
| mammalian cell cultures | 0.35525 |
| California PAM survivor | 0.370292 |
| diagnostic testing | 0.361235 |
| microscopic examination | 0.398342 |
| Naegleria fowleri infection | 0.620867 |
| thermophilic amebae | 0.362531 |
| free-living amebae | 0.484886 |
| Balamuthia mandrillaris | 0.369119 |
| Malaria telediagnosis tool | 0.361206 |
| Naegleria fowleri Organ | 0.511556 |
| µm trophozoite | 0.344949 |
| CDC requests | 0.364154 |
| routine diagnostic procedure | 0.356254 |
| CSF smear | 0.396643 |
| unfixed tissue samples | 0.365402 |
| linear forward direction | 0.356272 |
| negative culture result | 0.35214 |
| PAM die | 0.343625 |
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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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Centers for Disease Control and Prevention |
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Sexually Transmitted Infections Among Young Americans (150W x 194H) |
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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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Centers for Disease Control and Prevention |
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NCHHSTP Newsroom - Healthy Youth tab |
Your Connection to the Latest HIV/AIDS, Hepatitis, STD and TB News at CDC |
| HIV trends | 0.530216 |
| International AIDS Conference | 0.555363 |
| pre-exposure prophylaxis | 0.494867 |
| CDC | 0.841158 |
| injection drug | 0.59428 |
| U.S. HIV care | 0.617763 |
| HIV prevention | 0.533091 |
| health risk behaviors | 0.575121 |
| Risk Behavior Survey | 0.573109 |
| Youth Risk Behavior | 0.57312 |
| HIV care continuum | 0.619439 |
| suicide-related behaviors | 0.501397 |
| recent national data | 0.578624 |
| health behaviors | 0.497691 |
| New preliminary data | 0.781122 |
| syringe services programs | 0.718216 |
| new CDC findings | 0.56257 |
| annual HIV infections | 0.610915 |
| TB Prevention | 0.494673 |
| new CDC Vital | 0.632323 |
| new data | 0.549129 |
| Dr. Jonathan Mermin | 0.559961 |
| sexual risk behaviors | 0.496483 |
| New CDC data | 0.76127 |
| treatment | 0.505703 |
|
| new hepatitis | 0.505493 |
| United States | 0.93285 |
| healthy behaviors | 0.49773 |
| sexual risk | 0.520324 |
| African Americans | 0.534449 |
| CDC authors | 0.508606 |
| sexually transmitted infections | 0.563585 |
| annual Sexually Transmitted | 0.565353 |
| race / ethnicity | 0.494588 |
| HIV diagnosis | 0.539681 |
| viral hepatitis | 0.524192 |
| Vital Signs report | 0.55381 |
| cases | 0.501947 |
| Sexually Transmitted Disease | 0.569123 |
| HIV incidence | 0.534805 |
| CDC researchers | 0.607732 |
| high school students | 0.530317 |
| bisexual men | 0.534776 |
| highest overall number | 0.550283 |
| higher levels | 0.522 |
| Opportunistic Infections | 0.494684 |
| HIV | 0.731998 |
| hepatitis C infections | 0.500791 |
| CDC Vital Signs | 0.778367 |
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Prediabetes and Type 2 Diabetes Affect Your Workforce | NDPP | Diabetes |
National Diabetes Prevention Program |
| heart attack | 0.355873 |
| CDC | 0.225082 |
| United States | 0.343254 |
| workforce issue | 0.336637 |
| Projection | 0.224422 |
| Page | 0.250009 |
| type | 0.297618 |
| toll | 0.226755 |
| https://www.cdc.gov/diabetes/data | 0.223609 |
| burden | 0.228339 |
| exaggeration | 0.238573 |
| prevalence | 0.227696 |
| times | 0.223543 |
| diabetes puts individuals | 0.794081 |
| productivity | 0.222928 |
| Population Health Metrics | 0.432722 |
| Gregg EW | 0.343837 |
| consequences | 0.224073 |
| Boyle JP | 0.340901 |
| total cost | 0.336309 |
| trends | 0.223349 |
| medical expenses | 0.352458 |
|
| Barker LE | 0.33075 |
| adult population | 0.328912 |
| 5-year period | 0.348136 |
| National Diabetes | 0.745991 |
| U.S. adults | 0.492738 |
| infographics | 0.23864 |
| Diabetes Statistics Report | 0.770774 |
| diagnosed diabetes | 0.628472 |
| people | 0.252715 |
| stroke | 0.225373 |
| National Diabetes Surveillance | 0.71026 |
| Thompson TJ | 0.334501 |
| health problems | 0.341857 |
| person | 0.284529 |
| Williamson DF. | 0.3319 |
| diabetes incurs | 0.635965 |
| mortality | 0.226596 |
| risk | 0.251739 |
| dynamic modeling | 0.327363 |
| intervention | 0.226594 |
| diabetes | 0.943062 |
| incidence | 0.225271 |
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