| 968 |
Centers for Disease Control and Prevention |
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Notes from the Field: Multistate Outbreak of HumanSalmonella Infections Linked to Live Poultry from a Mail-OrderHatchery in Ohio - March-September 2013 |
Colin Basler, DVM1, Tony M. Forshey, DVM2, Kimberly Machesky, MPH3, C. Matthew Erdman, DVM, PhD4, Thomas M. |
| poultry flock owners | 0.544862 |
| human Salmonella outbreaks | 0.534113 |
| average time | 0.318269 |
| outbreak strains | 0.374682 |
| human illness | 0.340207 |
| feed store environment | 0.404401 |
| Human Services | 0.397243 |
| control programs | 0.318304 |
| outbreak investigation | 0.355714 |
| U.S. Department | 0.505746 |
| MMWR HTML versions | 0.407077 |
| likely source | 0.320128 |
| comprehensive approach | 0.313845 |
| electronic PDF version | 0.39825 |
| ill persons | 0.931874 |
| purchase information | 0.324013 |
| comprehensive Salmonella prevention | 0.510747 |
| supplemental live poultry | 0.594994 |
| Contact GPO | 0.331355 |
| Plan.* Additional owner | 0.415244 |
| commercial sources | 0.312953 |
| animal health officials | 0.406426 |
| live poultry purchases | 0.565465 |
| original paper copy | 0.401356 |
|
| illness onset | 0.465465 |
| source flocks | 0.435081 |
| sanitation practices | 0.316802 |
| U.S. Government Printing | 0.412655 |
| original MMWR paper | 0.40395 |
| breeder farms | 0.318068 |
| MMWR readers | 0.318002 |
| human Salmonella infections | 0.573102 |
| Ohio hatchery | 0.370232 |
| chick exposure | 0.328449 |
| molecular subtyping network | 0.458521 |
| Salmonella serotypes Infantis | 0.553412 |
| live poultry contact | 0.603416 |
| Sixty-nine percent | 0.36576 |
| young poultry | 0.573912 |
| single mail-order hatchery | 0.778198 |
| typeset documents | 0.312269 |
| trade names | 0.313011 |
| non-CDC sites | 0.312004 |
| National Poultry Improvement | 0.551785 |
| live poultry | 0.993735 |
| live poultry exposure | 0.599542 |
| mail-order hatcheries | 0.601637 |
| foodborne bacteria | 0.332984 |
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| 4455 |
Centers for Disease Control and Prevention |
Html |
en |
DSAT Guidance on CDC Import Permits for Swine-Originated Flu |
null |
| H1N1 virus | 0.440501 |
| United States | 0.601573 |
| CDC Seasonal Flu | 0.570545 |
| novel influenza | 0.674637 |
| clinical samples | 0.606667 |
|
| virus outbreak | 0.79139 |
| CDC Import Permit | 0.961153 |
| reference purposes | 0.258868 |
| human flu virus | 0.741328 |
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| 5599 |
Centers for Disease Control and Prevention |
Html |
en |
2-Nitronaphthalene - 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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| 5882 |
Centers for Disease Control and Prevention |
Html |
en |
Ethylidene norbornene - 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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| 6441 |
Centers for Disease Control and Prevention |
Html |
en |
State-Specific Prevalence of No Leisure-Time Physical Activity Among Adults With and Without Doctor-Diagnosed Arthritis - United States, 2009 |
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. |
| percent arthritis impact | 0.583746 |
| substantial proportion | 0.209844 |
| high rates | 0.200265 |
| physical inactivity prevalence | 0.292915 |
| overall prevalence | 0.226911 |
| lowest prevalence | 0.214826 |
| adults | 0.509045 |
| disparity gap | 0.303165 |
| complex sample design | 0.22025 |
| unstandardized prevalence | 0.354692 |
| percent disparity gap | 0.240441 |
| prevalence | 0.480894 |
| arthritis symptoms | 0.342374 |
| health communication campaigns | 0.226934 |
| LTPA | 0.462588 |
| physical activity programs | 0.343591 |
| Arthritis Program | 0.438589 |
| counsel arthritis patients | 0.344487 |
| CDC Arthritis Program | 0.365539 |
| arthritis range | 0.356077 |
| doctor-diagnosed arthritis | 0.37503 |
|
| median percent disparity | 0.201401 |
| Arthritis Foundation | 0.348441 |
| arthritis status | 0.411276 |
| arthritis У— | 0.379393 |
| state-specific prevalence | 0.27321 |
| age-standardized prevalence | 0.414238 |
| arthritis state | 0.344177 |
| rheumatoid arthritis | 0.383659 |
| physical activity | 0.783011 |
| high percent arthritis | 0.358902 |
| highest arthritis prevalence | 0.432104 |
| physical activity promotion | 0.248937 |
| arthritis-appropriate physical activity | 0.23766 |
| health physical activity | 0.200033 |
| arthritis | 0.912427 |
| leisure-time physical activity | 0.216014 |
| Jennifer M. Hootman | 0.211107 |
| Arthritis Pain Reliever | 0.366293 |
| group exercise programs | 0.224513 |
| physical activities | 0.209953 |
|
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| 6639 |
Centers for Disease Control and Prevention |
Html |
null |
Chemical Class - Benzidines/Aromatic amines |
this is a test |
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| 8892 |
Centers for Disease Control and Prevention |
Html |
en |
Health Care Fraud - Health Communication |
Health Care Fraud - Gateway to Health Communication - CDC |
| therapy sessions | 0.258242 |
| health insurance | 0.441468 |
| health care provider | 0.581192 |
| Medicare Fraud Strike | 0.500261 |
| Human Services | 0.27069 |
| U.S. Department | 0.255498 |
| home health services | 0.365306 |
| Enforcement Action Team | 0.299056 |
| health insurance statements | 0.335503 |
| health care fraud | 0.761469 |
| health care providers | 0.375523 |
| fraud schemes | 0.327176 |
| Health Insurance Number | 0.407496 |
| long term solvency | 0.319255 |
| mental health services | 0.362203 |
| health care services | 0.39099 |
| Medicare program | 0.298968 |
| ambulance transports | 0.255285 |
| hospital visits | 0.256249 |
| Affordable Care Act | 0.327274 |
| high-tech anti-fraud tools | 0.30281 |
| State governments | 0.261609 |
| Social Security number | 0.296989 |
| State Medicaid programs | 0.313497 |
|
| Medicaid programs | 0.314244 |
| e.g. power wheelchairs | 0.311172 |
| Care Fraud Prevention | 0.404338 |
| American taxpayers | 0.269231 |
| health insurance information | 0.360897 |
| stopmedicarefraud.gov web site | 0.295994 |
| people’s health | 0.296559 |
| health care insurance | 0.389944 |
| care provider bills | 0.429139 |
| Fraud Strike Forces | 0.371438 |
| Medicaid Services | 0.283031 |
| health care programs | 0.395669 |
| diabetic supplies | 0.259394 |
| Fraud drives | 0.352051 |
| health care | 0.918069 |
| insurance company | 0.267475 |
| personal information | 0.374031 |
| vulnerable citizens | 0.260479 |
| Medicare Strike Force | 0.348939 |
| credit card numbers | 0.295426 |
| Fraud Strike Force | 0.376353 |
| Health Insurance card | 0.336391 |
| care fraud perpetrators | 0.44592 |
| fraudulent claims | 0.257212 |
|
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Centers for Disease Control and Prevention |
Html |
es |
Cambio de actitudes de proveedores de viviendas de unidades múltiples para que adopten políticas antitabaco |
null |
| polÃticas antitabaco | 0.926871 |
| Drach L | 0.392753 |
| Pizacani B | 0.384883 |
| salud pública | 0.469797 |
|
| Stark M | 0.386926 |
| Hermann-Franzen C | 0.38459 |
| Menagh K | 0.38193 |
| Chronic Dis | 0.396481 |
|
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| 14399 |
Centers for Disease Control and Prevention |
Html |
en |
International Thalassemia Awareness | CDC Features |
Did you know that beta thalassemia major, the most severe form of thalassemia, affects at least 1,000 people in the United States? By staying committed to long-term treatment, people with thalassemia can enjoy a full life. |
| red blood cells | 0.930346 |
| blood disorders | 0.80526 |
| possible organ damage | 0.534915 |
| Robert Mannino | 0.491692 |
| treatment schedules | 0.479565 |
| outstanding care | 0.47078 |
| Emory University | 0.469431 |
| chelation therapy | 0.559687 |
| pediatric hematologist | 0.521995 |
| hemoglobin disorders | 0.492441 |
| sickle cell disease | 0.530821 |
| Georgia Institute | 0.469221 |
| children’s hospital | 0.537016 |
| lifelong blood transfusions | 0.610372 |
| Robert | 0.555743 |
| severe form | 0.488274 |
| engineering PhD program | 0.526772 |
| iron overload | 0.478127 |
| Kansas City | 0.475871 |
| thalassemia | 0.936512 |
| blood transfusions | 0.761562 |
| treatable disorder | 0.484625 |
| various medical complications | 0.55105 |
| transfusion-related complications | 0.476208 |
|
| medical specialist | 0.477515 |
| blood safety | 0.495726 |
| long-term treatment | 0.485009 |
| United States | 0.486706 |
| iron-deficient anemia | 0.479638 |
| correct diagnosis | 0.471303 |
| regular basis | 0.475499 |
| CDC funds | 0.474627 |
| Therapeutic Blood Transfusions | 0.586384 |
| Georgia State University | 0.529522 |
| Robert credits | 0.480112 |
| right care | 0.473261 |
| transfusion therapy | 0.476837 |
| treatable blood disorder | 0.568495 |
| important thing | 0.476044 |
| Specialized care | 0.479716 |
| young parents | 0.472424 |
| healthy red blood | 0.580468 |
| people | 0.538185 |
| medical care | 0.477538 |
| severe thalassemia | 0.672377 |
| San Francisco Benioff | 0.535415 |
| Robert’s story | 0.480672 |
| Anemia Foundation | 0.475464 |
|
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| 16489 |
Centers for Disease Control and Prevention |
Html |
en |
6|18 State Medicaid Agency Activities |
CDC is partnering with health care purchasers, payers, and providers to improve health and control health care costs. CDC provides these partners with rigorous evidence about our Nation’s highest burden health conditions and associated interventions to inform their decisions to have the greatest health and cost impact. |
| Medicaid enrollees | 0.646853 |
| CDC | 0.514903 |
| health plans | 0.49369 |
| Human Services | 0.486418 |
| state medicaid | 0.989288 |
| care organizations | 0.483263 |
| Services Administration | 0.485822 |
| adult preventive services | 0.550018 |
| Assistant Secretary | 0.475489 |
| peer-to-peer learning | 0.483145 |
| unintended pregnancy | 0.490459 |
| State Medicaid Agency | 0.825049 |
| health conditions | 0.509283 |
| following factors | 0.47694 |
| better care | 0.494451 |
| Health Care Strategies | 0.561579 |
| contract negotiations | 0.480041 |
| prevention interventions | 0.57687 |
| population health | 0.494099 |
| lower costs | 0.484188 |
| peer learning | 0.473442 |
| cost impact changes | 0.533531 |
| delivery system transformation | 0.472393 |
| State Medicaid programs | 0.674992 |
| baseline coverage | 0.48318 |
|
| Medicaid Agency-Public Health | 0.714799 |
| specific interventions | 0.542386 |
| select interventions | 0.559458 |
| better health outcomes | 0.593629 |
| State Plan Amendments | 0.567224 |
| Health Department teams | 0.701622 |
| Shared Learning Platform | 0.549134 |
| Partner Support | 0.474173 |
| Medicaid beneficiaries | 0.626055 |
| tangible progress | 0.482009 |
| Medicaid Services | 0.614006 |
| states | 0.50605 |
| Robert Wood Johnson | 0.537433 |
| technical assistance | 0.66433 |
| Health Resources | 0.500912 |
| Medicaid Directors | 0.603241 |
| state medicaid agencies | 0.83198 |
| initial focus | 0.483905 |
| Territorial Health Officials | 0.564194 |
| health care purchasers | 0.560728 |
| National Association | 0.477288 |
| interventions | 0.618494 |
| best practices | 0.557071 |
| payment reforms | 0.473147 |
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