| 1309 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Recommendation Regarding Diabetes Prevention- Community Preventive Services Task Force |
The Community Preventive Services Task Force recently posted new information on its website, "Diabetes Prevention and Control: Combined Diet and Physical Activity Promotion Programs to Prevent Type 2 Diabetes Among People at Increased Risk." This information is available at http://www.thecommunityguide. |
| prevention experts | 0.493134 |
| CDC | 0.559811 |
| endorsement | 0.403067 |
| Human Services | 0.823841 |
| research | 0.330372 |
| U.S. Department | 0.83173 |
| MMWR HTML versions | 0.628533 |
| Physical | 0.333812 |
| task force | 0.972297 |
| electronic PDF version | 0.612883 |
| new information | 0.514697 |
| members | 0.331168 |
| http://www.thecommunityguide.org/diabetes/combineddietandpa.html | 0.335165 |
| Preventive | 0.33541 |
| population health | 0.498854 |
| Activity Promotion Programs | 0.690037 |
| Contact GPO | 0.519998 |
| Director | 0.331119 |
| commercial sources | 0.485557 |
| decision makers | 0.485534 |
| current prices | 0.472927 |
| Diet | 0.333833 |
| original paper copy | 0.608936 |
| wide range | 0.491542 |
|
| Prevent Type | 0.505136 |
| U.S. Government Printing | 0.615519 |
| policies | 0.330696 |
| Superintendent | 0.335193 |
| Risk | 0.333677 |
| MMWR readers | 0.490358 |
| character translation | 0.473033 |
| technical support | 0.488687 |
| Control | 0.333864 |
| MMWR paper copy | 0.62116 |
| public health | 0.50861 |
| format errors | 0.479589 |
| website | 0.333927 |
| approval | 0.332821 |
| typeset documents | 0.486531 |
| People | 0.333709 |
| trade names | 0.485734 |
| Services Task Force | 0.800198 |
| official text | 0.470093 |
| non-CDC sites | 0.482111 |
| Diabetes | 0.337938 |
| uncompensated panel | 0.487714 |
| electronic conversions | 0.472185 |
| printable versions | 0.466086 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 6859 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 8363 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Gaps in Survey Data on Cancer in American Indian and Alaska Native Populations: Examination of US Population Surveys, 1960 - 2010 - CDC |
Population-based data are essential for quantifying the problems and measuring the progress made by comprehensive cancer control programs. However, cancer information specific to the American Indian/Alaska Native (AI/AN) population is not readily available. We identified major population-based surveys conducted in the United States that contain questions related to cancer, documented the AI/AN sample size in these surveys, and identified gaps in the types of cancer-related information these surveys collect. |
| data extraction form | 0.432646 |
| Native Adult Tobacco | 0.403927 |
| data | 0.873475 |
| death certificate data | 0.405098 |
| survey data sources | 0.478709 |
| cancer data gaps | 0.416125 |
| National Health Interview | 0.40452 |
| data collection methods | 0.444029 |
| Risk Behavior Survey | 0.408897 |
| Youth Tobacco Survey | 0.408245 |
| AI/AN sample size | 0.771664 |
| sample size | 0.944272 |
| data sources | 0.524251 |
| Indian Adult Tobacco | 0.403987 |
| Health Interview Survey | 0.434035 |
| Population-based data | 0.42338 |
| AI/AN sample percentage | 0.409539 |
| major survey data | 0.428156 |
| population-based surveys | 0.538972 |
| cancer information specific | 0.422488 |
| survey | 0.792024 |
| Mortality Followback Survey | 0.452125 |
| cancer survey data | 0.453749 |
| inadequate AI/AN sample | 0.413434 |
| sample size information | 0.534147 |
|
| SD-Tribal PRAMS | 0.407573 |
| surveys | 0.782619 |
| AI/AN population | 0.629574 |
| Health Information National | 0.452893 |
| comprehensive cancer control | 0.421196 |
| Current Population Survey | 0.426026 |
| survivorship information data | 0.413312 |
| National Cancer Institute | 0.427124 |
| Adult Tobacco Survey | 0.56967 |
| major population-based surveys | 0.461087 |
| ambulatory medical care | 0.554292 |
| National Immunization Survey | 0.427639 |
| Information National Trends | 0.415318 |
| survey data | 0.521507 |
| health | 0.554142 |
| survey data collection | 0.411069 |
| data collection | 0.685233 |
| cancer-related information | 0.464095 |
| Alaska Native Adult | 0.404828 |
| Medical Care Survey | 0.48814 |
| Introduction
Population-based data | 0.408577 |
| National Trends Survey | 0.420361 |
| information | 0.754169 |
| cancer | 0.66917 |
|
CLICK HERE |
| 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 |
|
CLICK HERE |
| 11378 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 12046 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
Html |
en |
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 |
|
CLICK HERE |
| 16471 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |