| 812 |
Centers for Disease Control and Prevention |
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Trends in Uninsured Clients Visiting Health Centers Fundedby the Title X Family Planning Program - Massachusetts,2005-2012 |
Marion Carter1, Kathleen Desilets2, Lorrie Gavin3, Sue Moskosky2, Jill Clark4 (Author affiliations at end of text). |
| health-care insurance coverage | 0.422753 |
| health insurance | 0.907494 |
| lowest insurance coverage | 0.391206 |
| health centers | 0.596149 |
| insurance coverage | 0.519978 |
| reproductive health organization | 0.389789 |
| health care reform | 0.461912 |
| percentage | 0.450844 |
| private insurance | 0.390972 |
| publicly funded family | 0.418151 |
| health insurance coverage | 0.421056 |
| uninsured persons | 0.39594 |
| cervical cancer screening | 0.39744 |
| safety-net family planning | 0.4587 |
| family planning services | 0.771351 |
| health-care organizations | 0.42503 |
| Family Planning Annual | 0.404269 |
| family planning expansion | 0.433906 |
| young adults | 0.417103 |
| public health agencies | 0.400073 |
| health reform | 0.392039 |
| uninsured clients | 0.485465 |
| Title X program | 0.423214 |
| health insurance information | 0.426381 |
| private insurance companies | 0.390031 |
|
| health-care reform | 0.54855 |
| federal poverty level | 0.46658 |
| United States | 0.407629 |
| Title X–funded organizations | 0.414495 |
| client volume | 0.388138 |
| health-care providers | 0.410842 |
| family planning providers | 0.461756 |
| health insurance records | 0.415133 |
| family planning | 0.935107 |
| Massachusetts | 0.470794 |
| family planning program | 0.441408 |
| public health | 0.408553 |
| safety-net providers increases | 0.386903 |
| state health-care reform | 0.410834 |
| family planning clients | 0.603279 |
| safety-net providers | 0.437096 |
| health-care coverage | 0.399361 |
| health insurance plans | 0.416464 |
| public health programs | 0.405095 |
| community health centers | 0.485709 |
| income groups | 0.419913 |
| family planning coverage | 0.399386 |
| Title X-funded health | 0.39135 |
| Title X–funded health | 0.399404 |
|
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| 5705 |
Centers for Disease Control and Prevention |
Html |
en |
Malonaldehyde - 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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| 6859 |
Centers for Disease Control and Prevention |
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The Epidemiology Workforce in State and Local Health Departments - United States, 2010 |
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. |
| Epidemiologists epidemiology capacity | 0.362415 |
| federally funded positions | 0.220052 |
| environmental health | 0.241821 |
| federal preparedness funding | 0.219929 |
| New York City | 0.218187 |
| health department epidemiologists | 0.368845 |
| number | 0.266537 |
| public health departments | 0.225602 |
| federal stimulus funding | 0.351075 |
| health department level | 0.237717 |
| current epidemiology capacity | 0.220818 |
| state-level functional capacity | 0.213028 |
| state-funded positions | 0.218512 |
| epidemiology capacity | 0.375861 |
| oral health | 0.238426 |
| Matthew L. Boulton | 0.202791 |
| epidemiology capacity assessments | 0.259615 |
| state-funded epidemiologists | 0.314943 |
| functional epidemiology capacity | 0.305118 |
| City Health Officials | 0.24693 |
| state epidemiology workforce | 0.257471 |
| Territorial Epidemiologists | 0.444605 |
| additional epidemiologists | 0.30422 |
| health department workforce | 0.235766 |
| state epidemiologists | 0.39095 |
|
| previous CSTE ECAs | 0.225868 |
| federal funding streams | 0.215742 |
| public health workforce | 0.232734 |
| local-level epidemiologists | 0.403248 |
| program area | 0.224731 |
| epidemiologists | 0.742936 |
| states | 0.259661 |
| local health department | 0.49415 |
| health department epidemiologist | 0.211669 |
| epidemiology workforce | 0.654489 |
| competent epidemiology workforce | 0.24297 |
| state-level workforce | 0.230016 |
| state-level epidemiology workforce | 0.437062 |
| full-time equivalent epidemiologists | 0.393782 |
| local health departments | 0.935368 |
| public health | 0.309222 |
| health epidemiology workforce | 0.275787 |
| epidemiology workforce competence | 0.229685 |
| epidemiology workforce assessments | 0.265448 |
| vacant state-funded positions | 0.207733 |
| state-level epidemiologists | 0.629123 |
| local epidemiology workforce | 0.321377 |
| federal funding | 0.319115 |
| bioterrorism/emergency response | 0.258528 |
|
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| 7922 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: National Shortage of Isoniazid 300 mgTablets |
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. | 0.434979 |
| latent TB infection | 0.656991 |
| Fixed-dose combinations | 0.4133 |
| CDC | 0.450434 |
| Neha Shah | 0.503769 |
| United States | 0.414146 |
| original MMWR paper | 0.49999 |
| U.S. Government Printing | 0.498431 |
| active ingredient | 0.409479 |
| Human Services | 0.504809 |
| anti-TB medication | 0.407332 |
| TB disease | 0.807781 |
| assistive technology | 0.427475 |
| Drug Administration | 0.411621 |
| U.S. suppliers | 0.418427 |
| low inventory | 0.411519 |
| U.S. Department | 0.501635 |
| MMWR HTML versions | 0.492447 |
| MMWR readers | 0.409289 |
| four-drug regimen | 0.420923 |
| Sundari Mase | 0.530491 |
| San Diego | 0.41855 |
| antituberculosis medication | 0.42437 |
|
| tablet numbers | 0.417183 |
| electronic PDF version | 0.494452 |
| daily INH therapy | 0.549795 |
| possible backorder | 0.417756 |
| LTBI treatment completion | 0.512999 |
| state TB programs | 0.685144 |
| Tuberculosis Prevention | 0.431853 |
| National Center | 0.405687 |
| New York | 0.419298 |
| Tuberculosis Elimination | 0.553813 |
| national shortage | 0.475895 |
| mg tablets | 0.932419 |
| subject line | 0.427417 |
| Contact GPO | 0.418643 |
| important drugs | 0.411606 |
| mg INH tablets | 0.785044 |
| daily tablet intake | 0.510766 |
| alternative combination pills | 0.505584 |
| inadvertent omission | 0.429713 |
| original paper copy | 0.48716 |
| drug-resistant TB | 0.56588 |
| state TB program | 0.635616 |
|
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| 10778 |
Centers for Disease Control and Prevention |
Html |
en |
CDC 63rd Annual Epidemic Intelligence Services Conference Kicks Off Monday | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Media wishing | 0.49654 |
| disease detectives | 0.52117 |
| Centers | 0.417776 |
| Monday | 0.442918 |
| current EIS officers | 0.878282 |
| EIS graduates | 0.731181 |
| presentations | 0.427785 |
| CDC’s EIS | 0.931971 |
| two-year postgraduate program | 0.59413 |
| Prevention | 0.417737 |
| skills | 0.415797 |
| public health challenges | 0.594775 |
| CDC health initiatives | 0.694947 |
| life-saving work | 0.525019 |
| physicians | 0.41584 |
| Intelligence Service conference | 0.574552 |
| Disease Control | 0.517289 |
| antibiotic resistance | 0.500979 |
| Atlanta | 0.416044 |
| EIS officers | 0.913354 |
| prescription drug overdose | 0.585413 |
| U.S. DEPARTMENT | 0.49273 |
|
| http://www.cdc.gov/EIS/Conference.html | 0.415657 |
| Important Instructions | 0.496659 |
| infectious disease outbreaks | 0.612329 |
| health professionals | 0.514844 |
| Epidemic Intelligence Service | 0.77809 |
| EIS conference agenda | 0.817186 |
| 63rd Annual Epidemic | 0.653522 |
| Crowne Plaza Ravinia | 0.608486 |
| incoming class | 0.516534 |
| kind | 0.414686 |
| epidemiology training program | 0.582754 |
| lead state epidemiologists | 0.592639 |
| epidemics | 0.427932 |
| Thursday | 0.416306 |
| Nearly half | 0.495101 |
| Ashford Dunwoody Road | 0.60453 |
| HUMAN SERVICES | 0.491931 |
| CDC Media Relations | 0.664486 |
| CDC Directors | 0.595742 |
| global health security | 0.586581 |
| Hotel | 0.416088 |
|
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| 11378 |
Centers for Disease Control and Prevention |
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NIOSH Publications and Products - 1,3-Butadiene CH2=CH-CH=Ch2 (84-105) |
null |
| thyroid follicular cell | 0.420827 |
| 1,3-butadiene exposure | 0.433303 |
| Determination Report No. | 0.547427 |
| possible reproductive hazard | 0.553849 |
| ppm exposures | 0.431713 |
| U.S. Department | 0.644137 |
| long-term animal studies | 0.417711 |
| Health Hazard Evaluation | 0.642265 |
| Disease Control | 0.680252 |
| potential health risk | 0.420997 |
| specific airborne concentrations | 0.441134 |
| worker exposure | 0.550504 |
| 1,3-butadiene | 0.637978 |
| historical exposure data | 0.425194 |
| statistically significant increase | 0.453064 |
| follicular cell adenomas | 0.430666 |
| NIOSH | 0.444369 |
| Occupational Health | 0.431662 |
| Occupational Hazard Survey | 0.474472 |
| ppm concentrations | 0.474623 |
| Synthetic Rubber Producers | 0.450151 |
| Evaluation Determination Report | 0.548196 |
| Threshold Limit Values | 0.449455 |
| Inhalation exposure studies | 0.441506 |
| work practice controls | 0.42359 |
|
| ppm concentration | 0.418972 |
| public health agencies | 0.456678 |
| synthetic rubber | 0.474055 |
| public health policy | 0.435703 |
| occupational exposure | 0.513841 |
| Occupational Safety | 0.964095 |
| styrene-butadiene rubber | 0.418654 |
| present Occupational Safety | 0.445793 |
| 1,3-butadiene exposed rats | 0.485449 |
| daily exposure period | 0.421642 |
| National Institute | 0.789669 |
| potential occupational carcinogen | 0.598835 |
| Health Administration | 0.554536 |
| U. S. Department | 0.494754 |
| Hazard Evaluation Determination | 0.550675 |
| Possible health effects | 0.427153 |
| Occupational Exposure Sampling | 0.44462 |
| ppm | 0.538116 |
| Publication No. | 0.476885 |
| Exposure Sampling Strategy | 0.450392 |
| 1,3-butadiene concentrations | 0.436274 |
| Public Health Service | 0.97371 |
| Leydig cell adenomas | 0.430832 |
| Average exposure concentrations | 0.438568 |
|
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| 12046 |
Centers for Disease Control and Prevention |
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Human Parainfluenza Viruses | Transmission of HPIVs | CDC |
Human parainfluenza viruses (HPIVs) usually spread from person to person through air by coughing and sneezing, touching... |
| nose | 0.474809 |
| MPEG | 0.470365 |
| HPIVs | 0.481741 |
| hands | 0.467022 |
| objects | 0.441767 |
| People | 0.440279 |
| Page | 0.440852 |
| different file formats | 0.846561 |
| HPIV Seasons | 0.648315 |
| air | 0.447193 |
| eyes | 0.462016 |
|
| summer | 0.439807 |
| infected person | 0.752534 |
| spring | 0.439912 |
| Human parainfluenza viruses | 0.977282 |
| close personal contact | 0.913764 |
| mouth | 0.4727 |
| fall | 0.45533 |
| PPT | 0.498329 |
| HPIV infections | 0.664642 |
| DOC | 0.465659 |
|
CLICK HERE |
| 13323 |
Centers for Disease Control and Prevention |
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CDC Responder: Jose |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| typical contact tracing | 0.688518 |
| country | 0.339626 |
| source | 0.335788 |
| bucket shower | 0.496863 |
| members | 0.334023 |
| Liberian wilderness | 0.550076 |
| communication | 0.3344 |
| runner | 0.333153 |
| remote parts | 0.537352 |
| isolation area | 0.495294 |
| rampant Ebola outbreaks | 0.946439 |
| narrow forest trails | 0.676396 |
| motorbike | 0.340764 |
| hospital infection prevention | 0.736617 |
| teams | 0.335082 |
| work | 0.335465 |
| unknown Ebola contacts | 0.852626 |
| Service Officer | 0.533547 |
| community | 0.333998 |
| disease detective | 0.539625 |
| colleagues | 0.339932 |
| CDC Epidemic Intelligence | 0.748992 |
| child | 0.333623 |
| dozens | 0.334513 |
|
| central village | 0.506692 |
| gold standard | 0.514632 |
| treatment center | 0.494554 |
| Ebola cases | 0.655847 |
| miles | 0.339784 |
| MSF team | 0.527294 |
| total | 0.334271 |
| Jose | 0.745551 |
| modern technology | 0.506723 |
| place | 0.333027 |
| pit latrine | 0.515618 |
| situation | 0.333048 |
| dense forest area | 0.687955 |
| traditional method | 0.506008 |
| villager | 0.349595 |
| true testament | 0.492425 |
| People | 0.336696 |
| significant experiences | 0.496496 |
| entire villages | 0.548701 |
| control | 0.340005 |
| landing | 0.338592 |
| district health team | 0.668873 |
| village chiefs | 0.511374 |
| cellphone signal | 0.516234 |
|
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| 13872 |
Centers for Disease Control and Prevention |
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Systematic Review of Programs Treating High-Need andHigh-Cost People With Multiple Chronic Diseases or Disabilities inthe United States, 2008&ndash2014 |
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. |
| complex chronic conditions | 0.479984 |
| health care spending | 0.501179 |
| care services | 0.494037 |
| control group | 0.524915 |
| multiple chronic conditions | 0.980417 |
| successful clinical outcomes | 0.524191 |
| case management | 0.586826 |
| health outcomes | 0.487675 |
| health care interventions | 0.480375 |
| health care delivery | 0.521641 |
| medical care services | 0.486178 |
| comprehensive care programs | 0.490851 |
| primary care program | 0.484078 |
| health care context | 0.486742 |
| health care providers | 0.507034 |
| home-based primary care | 0.615536 |
| health care access | 0.486105 |
| health care services | 0.482233 |
| patients | 0.493545 |
| Affordable Care Act | 0.482811 |
| care coordination home | 0.500826 |
| significant health care | 0.500765 |
| expensive health care | 0.494468 |
| Home health care | 0.49439 |
| complex medical conditions | 0.480387 |
|
| health care utilization | 0.485848 |
| chronic care model | 0.501103 |
| comprehensive care | 0.502398 |
| transitional care | 0.496367 |
| palliative care | 0.552555 |
| clinical outcomes | 0.661379 |
| primary care nurse | 0.477172 |
| nurse care management | 0.47896 |
| academic medical center | 0.478556 |
| health care | 0.75703 |
| health care outcomes | 0.531518 |
| spending outcomes | 0.501184 |
| chronic disease self-management | 0.502015 |
| palliative care patients | 0.484903 |
| successful health care | 0.521702 |
| nursing home | 0.477929 |
| systematic review | 0.537541 |
| home care services | 0.487745 |
| affairs medical center | 0.480671 |
| disease management | 0.557189 |
| patient satisfaction | 0.58526 |
| home telehealth | 0.497445 |
| et al | 0.536452 |
| older adults | 0.481909 |
|
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| 16471 |
Centers for Disease Control and Prevention |
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Other Flu Websites |
Other Flu Websites including 2009 H1N1, avian, canine, swine, bat, variant, and pandemic - CDC |
| influenza | 0.92291 |
| type A influenza | 0.706601 |
| infection | 0.240721 |
| illnesses | 0.236729 |
| Swine influenza | 0.719151 |
| navigation Skip | 0.555747 |
| Avian influenza | 0.740037 |
| pigs | 0.431144 |
| seals | 0.23965 |
| respiratory disease | 0.397391 |
| community mitigation strategies | 0.544198 |
| ability | 0.233055 |
| human-to-human transmission | 0.386377 |
| whales | 0.243665 |
| list Skip | 0.555893 |
|
| influenza pandemic | 0.697163 |
| Influenza A viruses | 0.83913 |
| page options Skip | 0.739113 |
| NPIs | 0.233159 |
| people | 0.26064 |
| ducks | 0.245154 |
| spread | 0.234642 |
| chickens | 0.248638 |
| different animals | 0.409358 |
| cats | 0.236929 |
| influenza viruses | 0.815115 |
| influenza virus | 0.68005 |
| outbreaks | 0.247364 |
| actions | 0.234438 |
|
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