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Centers for Disease Control and Prevention |
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Science Clips - Monday, January 03, 2011 |
null |
| Sex Transm Dis. | 0.882085 |
| real-time polymerase chain | 0.7591 |
| vector control programs | 0.765929 |
| Pediatr Infect Dis | 0.766296 |
| CDC Science Clips | 0.921031 |
| disease risk marker | 0.761933 |
| Pediatr Infect Dis. | 0.782986 |
| Appl Environ Microbiol. | 0.778733 |
| Chief Science Officer | 0.778288 |
| Clin Virol. | 0.759065 |
| end-stage renal disease | 0.761643 |
| Clin Infect Dis. | 0.796293 |
| Prim Care Diabetes. | 0.771201 |
| Infect Dis. | 0.809546 |
| Clin Chim Acta. | 0.788779 |
| Haemophilus influenzae serotype | 0.763714 |
| Stephen B. Thacker | 0.831148 |
| Environ Sci Technol. | 0.770631 |
| HIV-uninfected pregnant women | 0.769833 |
| Int J Epidemiol. | 0.768387 |
| civil society organizations | 0.766171 |
| genetics population structure | 0.76145 |
| insecticide-treated bed nets | 0.763668 |
| HCV-specific human CTLs | 0.760225 |
| United States | 0.761428 |
|
| age-related eye diseases | 0.771898 |
| Gubareva LV | 0.770792 |
| serum bactericidal antibody | 0.760431 |
| Featured Topic Areas | 0.767752 |
| Bulkow LR | 0.767383 |
| Occup Environ Med. | 0.766692 |
| H1N1pdm influenza infection | 0.765979 |
| public health | 0.787612 |
| McMahon BJ | 0.76631 |
| Dec | 0.961509 |
| rapid HIV test | 0.762999 |
| pre-weaned dairy cattle | 0.761882 |
| Mac Kenzie WR | 0.761072 |
| public health literature | 0.769051 |
| B. Thacker CDC | 0.859461 |
| ischaemic heart disease | 0.764443 |
| high school students | 0.762589 |
| Plasmodium falciparum parasites | 0.763068 |
| Qual Life Res. | 0.773515 |
| Clin Microbiol. | 0.767163 |
| Clin Vaccine Immunol. | 0.828969 |
| specific antigenic profiles | 0.761585 |
| Lett Appl Microbiol. | 0.77338 |
| Thacker CDC Library | 0.859451 |
|
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Centers for Disease Control and Prevention |
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Trifluorobromomethane - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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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| 6949 |
Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012:11_0221 |
Physical activity helps diabetic older adults who have physical impairments or comorbid conditions to control their disease. To enable state planners to select physical activity programs for these adults, we calculated synthetic state-specific estimates of inactive older adults with diabetes, categorized by defined health status groups. |
| health status categories | 0.415785 |
| glycemic control | 0.464002 |
| inactive adults | 0.398503 |
| restrictive health status | 0.392378 |
| NHIS regional proportions | 0.383834 |
| Risk Factor Surveillance | 0.431959 |
| control comorbid conditions | 0.389746 |
| National Health Interview | 0.498465 |
| inactive older adults | 0.486603 |
| homebound | 0.421199 |
| physical activity programs | 0.804344 |
| non-disabled older population | 0.38971 |
| state-specific estimates | 0.505484 |
| functional health status | 0.390626 |
| frail adults | 0.378383 |
| older diabetic adults | 0.70133 |
| Health Interview Survey | 0.498921 |
| state-specific synthetic estimates | 0.389192 |
| active diabetic adults | 0.422361 |
| state-specific BRFSS estimates | 0.408872 |
| Diabetes Care | 0.386421 |
| Behavioral Risk Factor | 0.432052 |
| health status group | 0.726995 |
| NHIS | 0.408446 |
|
| synthetic state-specific estimates | 0.471723 |
| Health status data | 0.397679 |
| new diabetes cases | 0.38435 |
| diabetic adults | 0.851093 |
| health status characteristics | 0.400919 |
| NHIS regional estimates | 0.379242 |
| homebound + frail | 0.378457 |
| inactive diabetic adults | 0.635279 |
| diabetic older adults | 0.46987 |
| comorbid condition | 0.424797 |
| one-fourth mile | 0.429394 |
| state-specific proportions | 0.497013 |
| state-specific synthetic proportions | 0.418902 |
| text description | 0.414211 |
| figure | 0.376572 |
| specific health status | 0.404395 |
| health status groups | 0.985386 |
| comorbid conditions | 0.647786 |
| older adults | 0.735946 |
| severe health status | 0.385006 |
| exclusive health status | 0.400765 |
| confidence intervals | 0.39084 |
| separate health status | 0.382189 |
| diabetes | 0.499792 |
|
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| 7108 |
Centers for Disease Control and Prevention |
Html |
en |
Measles Outbreak Associated with an Arriving Refugee - LosAngeles County, California, August-September 2011 |
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. |
| Widespread MMR vaccination | 0.579855 |
| accompanying family members | 0.57337 |
| Los Angeles County | 0.749543 |
| Lumpur–Los Angeles flight | 0.597153 |
| incoming international travelers | 0.567873 |
| measles immunity | 0.763563 |
| Recent measles outbreaks | 0.700403 |
| MMR vaccination | 0.641034 |
| health officials | 0.680675 |
| MMR vaccine dose | 0.582187 |
| potential measles exposure | 0.715808 |
| Las Vegas | 0.597216 |
| family members | 0.751089 |
| low measles incidence | 0.711092 |
| pediatrician office contacts | 0.607418 |
| Kuala Lumpur–Los Angeles | 0.593916 |
| recent international travel | 0.595908 |
| endemic measles | 0.710659 |
| measles vaccination | 0.770711 |
| measles case | 0.724935 |
| Angeles County Department | 0.571594 |
| Angeles International Airport | 0.650793 |
| CDC Los Angeles | 0.567018 |
| febrile rash illness | 0.657492 |
|
| health authorities | 0.584148 |
| United States | 0.701064 |
| recent measles | 0.719289 |
| sporadic measles outbreaks | 0.737987 |
| Patient A. | 0.569159 |
| Los Angeles International | 0.651302 |
| public health | 0.675361 |
| Patient D. Processing | 0.583077 |
| international travel | 0.609143 |
| staff members | 0.623799 |
| indigenous measles circulation | 0.686923 |
| measles exposure | 0.722455 |
| Ñ?ЛП
Measles | 0.71247 |
| LACDPH | 0.576247 |
| previous MMR vaccination | 0.587486 |
| measles history | 0.69157 |
| employee measles immunity | 0.697356 |
| recent measles infection | 0.717834 |
| international travelers | 0.601003 |
| Los Angeles | 0.79635 |
| Border Protection officer | 0.587359 |
| measles | 0.918147 |
| contacts | 0.612471 |
| MMR vaccine | 0.60894 |
|
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| 7734 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables - November 30, 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. |
| H. influenzae | 0.385084 |
| National Center | 0.301968 |
| cases | 0.440236 |
| CDC | 0.29449 |
| novel influenza | 0.642237 |
| Total case counts | 0.467474 |
| pandemic influenza | 0.949493 |
| measles cases | 0.341997 |
| ** Data | 0.348031 |
|
| Cumulative total E. | 0.475364 |
| Influenza Division | 0.440327 |
| 2009 pandemic | 0.765828 |
| probable cases | 0.327921 |
| Respiratory Diseases | 0.308289 |
| rubella cases | 0.310025 |
| human infection | 0.329877 |
| influenza A virus | 0.474898 |
|
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Centers for Disease Control and Prevention |
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CDC Telebriefing: Status of Serogroup B Meningitis Cases in the United States | CDC Online Newsroom | CDC Advisory |
CDC's Advisory Committee on Immunization Practices Meeting |
| media availability | 0.600953 |
| Non-Media | 0.489205 |
| Monday | 0.449266 |
| United States | 0.648785 |
| telebriefing | 0.444576 |
| update | 0.450175 |
| briefing | 0.453453 |
| navigation Skip | 0.832371 |
| bacterial meningitis treatment | 0.917188 |
| transcript | 0.498337 |
| page options | 0.653318 |
| PASSCODE | 0.48231 |
| Medical Officer | 0.63524 |
|
| press | 0.469808 |
| Important Instructions | 0.630478 |
| prevention | 0.443936 |
| Amanda Cohn | 0.66605 |
| list Skip | 0.829764 |
| cases | 0.444273 |
| CDC Media | 0.66945 |
| question | 0.546706 |
| ET | 0.448397 |
| content Skip | 0.826877 |
| serogroup | 0.492112 |
| touchtone phone | 0.647183 |
|
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Centers for Disease Control and Prevention |
Html |
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Telebriefing | CDC to announce record-breaking year in reported cases of measles in the United States | Transcript | CDC Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| indigenous measles transmission | 0.436534 |
| true measles | 0.434282 |
| possible measles | 0.451741 |
| measles vaccines | 0.4485 |
| operator | 0.408723 |
| Dr. Anne Schuchat | 0.357672 |
| number | 0.381839 |
| large Ohio outbreak | 0.357378 |
| home-grown measles | 0.435053 |
| large outbreaks | 0.357346 |
| measles outbreaks | 0.42669 |
| outbreak | 0.43385 |
| measles virus | 0.475987 |
| possible measles case | 0.448461 |
| year-to-date number | 0.364742 |
| large measles | 0.447164 |
| endemic measles | 0.434687 |
| Ohio outbreak | 0.364618 |
| mike stobbe | 0.414121 |
| unimmunized people | 0.37254 |
| measles vaccination | 0.452782 |
| Medical News | 0.350735 |
| local indigenous measles | 0.442303 |
| 20-year high | 0.380778 |
| public health response | 0.369061 |
|
| michael smith | 0.352673 |
| anne schuchat | 0.750773 |
| infectious measles | 0.436849 |
| dan childs | 0.356973 |
| North American measles | 0.438413 |
| U.S. measles cases | 0.48463 |
| measles cases | 0.550211 |
| measles vaccination status | 0.434233 |
| measles immunizations | 0.443876 |
| robert lowes | 0.370365 |
| measles vaccine | 0.555946 |
| health departments | 0.357758 |
| bad measles | 0.448273 |
| Dr. Schuchat | 0.425527 |
| month-by-month measles cases | 0.453021 |
| measles adults | 0.43135 |
| question | 0.462816 |
| Philippines | 0.35583 |
| miriam falco | 0.351198 |
| people | 0.525708 |
| david beasley | 0.391034 |
| time | 0.359102 |
| measles | 0.939512 |
| communities | 0.388853 |
|
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| 11981 |
Centers for Disease Control and Prevention |
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National Epilepsy Awareness Month - November 2014 |
November is National Epilepsy Awareness Month. Epilepsy is a brain disorder characterized by recurrent seizures and affects an estimated 2.3 million adults and 450,000 children in the United States (1,2). |
| Halfon N. | 0.529312 |
| national profile | 0.534897 |
| community-based resources | 0.557472 |
| Services Administration funds | 0.656685 |
| brain disorder | 0.546649 |
| Human Services | 0.63094 |
| Prev Chronic Dis | 0.64756 |
| address barriers | 0.529998 |
| U.S. Department | 0.630787 |
| MMWR HTML versions | 0.626837 |
| children | 0.5601 |
| electronic PDF version | 0.613949 |
| recurrent seizures | 0.551023 |
| health care providers | 0.722422 |
| Additional information | 0.537128 |
| Contact GPO | 0.545695 |
| health care costs | 0.722454 |
| Medical Home Implementation | 0.626695 |
| original paper copy | 0.620479 |
| special health care | 0.729359 |
| family-centered care coordination | 0.707951 |
| seizure disorder | 0.532654 |
| childhood epilepsy | 0.629345 |
| United States | 0.544552 |
|
| multiple systems | 0.522027 |
| U.S. Government Printing | 0.625035 |
| original MMWR paper | 0.62314 |
| Community-based care coordination | 0.75426 |
| MMWR readers | 0.529316 |
| 21st century | 0.523513 |
| public health approach | 0.664908 |
| National Epilepsy Awareness | 0.794117 |
| community resources | 0.537591 |
| link care | 0.578558 |
| unmet needs | 0.577838 |
| National Survey | 0.530001 |
| Health Resources | 0.571891 |
| health care | 0.744585 |
| community-based demonstration projects | 0.66253 |
| Russ SA | 0.521771 |
| unmet need | 0.553546 |
| typeset documents | 0.523275 |
| care coordination | 0.940608 |
| paper copy | 0.624143 |
| Schuster MA | 0.530297 |
| Project Advisory Committee | 0.62654 |
| Whittemore VH | 0.544442 |
| Koh HK | 0.53338 |
|
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Transcript for CDC Telebriefing: Update on Flu Season 2014-15 |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| antivirals | 0.519653 |
| best way | 0.499815 |
| different flu viruses | 0.60188 |
| flu activity | 0.50635 |
| 2013-2014 flu season | 0.539421 |
| joe bresee | 0.785121 |
| influenza vaccine | 0.552018 |
| viruses | 0.617495 |
| flu change | 0.518145 |
| H3N2 viruses | 0.501206 |
| tom frieden | 0.824233 |
| vaccine effectiveness | 0.530282 |
| H3 vaccine | 0.537446 |
| poorly matched H3 | 0.500074 |
| vaccine strain | 0.520957 |
| influenza | 0.626921 |
| flu symptoms | 0.524399 |
| Dr. Joe Bresee | 0.569746 |
| H1N1 swine flu | 0.544047 |
| United States | 0.501674 |
| flu vaccine | 0.769765 |
| flu complications | 0.522833 |
| different influenza viruses | 0.526152 |
| Dr. Bresee | 0.502883 |
| H3 predominant season | 0.523514 |
|
| vaccine virus | 0.529638 |
| influenza B viruses | 0.510997 |
| newer vaccine technology | 0.523717 |
| flu test | 0.524313 |
| Dr. Tom Frieden | 0.511257 |
| general vaccine | 0.499527 |
| worst flu | 0.531967 |
| question | 0.62913 |
| antiviral drugs | 0.755162 |
| seasonal flu vaccine | 0.589565 |
| H3 flu virus | 0.563777 |
| vaccine strains | 0.500519 |
| people | 0.55729 |
| flu | 0.988138 |
| tom skinner | 0.814877 |
| flu positive tests | 0.550244 |
| vaccine | 0.93025 |
| nasal spray vaccine | 0.513975 |
| H3 virus | 0.496351 |
| flu season | 0.68091 |
| H1N1 flu mist | 0.53663 |
| flu mist | 0.554661 |
| influenza division. influenza | 0.524237 |
| Dr. Frieden | 0.591985 |
|
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Centers for Disease Control and Prevention |
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HIV Testing and Service Delivery Among Blacks or AfricanAmericans - 61 Health Department Jurisdictions, United States,2013 |
Puja Seth, PhD1, Tanja Walker, MPH1, NaTasha Hollis, PhD1, Argelia Figueroa, MS1, Lisa Belcher, PhD1 (Author affiliations at end of text). |
| important prevention services | 0.205576 |
| CDC-funded HIV testing | 0.398108 |
| National HIV/AIDS Strategy | 0.251913 |
| data | 0.239917 |
| heterosexual females | 0.204462 |
| positive black MSM | 0.211988 |
| HIV Prevention Program | 0.477116 |
| blacks | 0.577712 |
| undiagnosed HIV infection | 0.37278 |
| previous HIV-positive test | 0.21661 |
| black MSM | 0.21422 |
| possible HIV exposure | 0.367013 |
| new HIV diagnosis | 0.358699 |
| HIV positivity | 0.316545 |
| HIV status | 0.307729 |
| necessary HIV prevention | 0.350627 |
| HIV prevention services | 0.805886 |
| HIV medical care | 0.788364 |
| HIV program activities | 0.371561 |
| National HIV Prevention | 0.47652 |
| health care settings | 0.257829 |
| new positives | 0.696474 |
| new positive blacks | 0.384387 |
| new HIV-positive persons | 0.233157 |
| United States | 0.458129 |
|
| HIV service delivery | 0.478534 |
| HIV-positive persons | 0.374578 |
| CDC-funded HIV TEs | 0.704892 |
| HIV testing services | 0.36216 |
| HIV tests | 0.29871 |
| HIV continuum | 0.306343 |
| national-level program data | 0.205278 |
| HIV diagnoses | 0.310049 |
| HIV-positive TEs | 0.264236 |
| new positive MSM | 0.228797 |
| HIV transmission | 0.346157 |
| Valid HIV TEs | 0.460087 |
| MSM | 0.279797 |
| HIV TEs | 0.790917 |
| non–health care settings | 0.261556 |
| routine HIV screening | 0.369263 |
| highest HIV prevalence | 0.340514 |
| Prevention Program Monitoring | 0.282151 |
| HIV | 0.97948 |
| HIV partner services | 0.659404 |
| target populations | 0.34412 |
| heterosexual males | 0.375475 |
| HIV testing | 0.590469 |
| blacks needs | 0.218287 |
|
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