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Centers for Disease Control and Prevention |
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Trifluorobromomethane - NIOSH Pocket Guide to Chemical Hazards |
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| PDF | 0.261307 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Global Health - Norway |
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| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
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| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
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Centers for Disease Control and Prevention |
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Calidad de vida relacionada con la salud y niveles de actividad física en mujeres de mediana edad, Encuesta de Entrevistas de Salud de California, 2005 |
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| Luncheon C | 0.628548 |
| posibles factores | 0.603891 |
| salud pública | 0.826125 |
| Zack M | 0.63531 |
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| mediana edad | 0.916848 |
| mala salud | 0.879206 |
| Chronic Dis | 0.650639 |
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| 11981 |
Centers for Disease Control and Prevention |
Html |
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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 |
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| 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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| 12144 |
Centers for Disease Control and Prevention |
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en |
Preventing Chronic Disease | Ohio Primary Health CareProviders' Practices and Attitudes Regarding Screening Women WithPrior Gestational Diabetes for Type 2 Diabetes Mellitus - 2010 -CDC |
Gestational diabetes mellitus (GDM) is associated with a 7-fold increased lifetime risk for developing type 2 diabetes mellitus. Early diagnosis of type 2 diabetes is crucial for preventing complications. Despite recommendations for type 2 diabetes screening every 1 to 3 years for women with previous diagnoses of GDM and all women aged 45 years or older, screening prevalence is unknown. We sought to assess Ohio primary health care providers’ practices and attitudes regarding assessing GDM history and risk for progression to type 2 diabetes. |
| screening | 0.556234 |
| family physicians | 0.509288 |
| public health interventions | 0.494761 |
| subsequent lifelong screening | 0.485229 |
| blood glucose screening | 0.489313 |
| health care provider | 0.479183 |
| Gestational diabetes mellitus | 0.49904 |
| Overall response rate | 0.490821 |
| screening women | 0.484975 |
| type | 0.62416 |
| primary care providers | 0.649532 |
| Disease Control | 0.485815 |
| care providers | 0.681065 |
| health care providers | 0.612088 |
| Ohio primary health | 0.524767 |
| periodic screening | 0.483342 |
| response rate | 0.496666 |
| long-term care facility | 0.499578 |
| primary care physicians | 0.625541 |
| respondents | 0.54053 |
| GDM diagnosis | 0.633863 |
| public health agencies | 0.484543 |
| women | 0.699576 |
| United States | 0.503742 |
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| internal medicine | 0.563062 |
| new female patients | 0.61945 |
| diabetes mellitus | 0.503663 |
| subsequent screening | 0.481636 |
| patient’s GDM | 0.640668 |
| prior GDM lack | 0.653703 |
| prior GDM | 0.971774 |
| health care | 0.618735 |
| public health | 0.59559 |
| nonpregnant women | 0.508704 |
| true screening rates | 0.483453 |
| glucose intolerance | 0.613014 |
| primary health care | 0.571533 |
| GDM history | 0.974451 |
| primary care respondents | 0.504518 |
| physical activity | 0.572377 |
| chi-square tests | 0.478985 |
| primary care | 0.75851 |
| Recurrent GDM | 0.609443 |
| American Diabetes Association | 0.495579 |
| internal medicine physicians | 0.546459 |
| screening rates | 0.533001 |
| postpartum screening | 0.481072 |
| low screening rates | 0.480284 |
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| 12403 |
Centers for Disease Control and Prevention |
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Timeline for Anthrax Laboratory Incident (1185W x 916H) |
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Centers for Disease Control and Prevention |
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Rapid Response to Ebola Outbreaks in Remote Areas - Liberia,July-November 2014 |
On February 20, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| ebola outbreaks | 0.962518 |
| rural outbreaks | 0.669211 |
| rapid response | 0.666761 |
| private health facilities | 0.503085 |
| symptom onset | 0.608932 |
| median case-fatality rate | 0.519388 |
| Ebola virus transmission | 0.607716 |
| response activities | 0.544699 |
| Liberian case definitions | 0.504222 |
| MMWR Early Release | 0.502935 |
| Social Welfare | 0.522173 |
| Ebola transmission | 0.569805 |
| Ebola treatment facilities | 0.629623 |
| later outbreaks | 0.737586 |
| onset dates | 0.503258 |
| World Health Organization | 0.570627 |
| rapid response microplanning | 0.515188 |
| Ebola laboratory confirmation | 0.617785 |
| effective rapid response | 0.507754 |
| index case | 0.557349 |
| incomplete case investigation | 0.504711 |
| RITE strategy | 0.743352 |
| Ebola patients | 0.61132 |
| median number | 0.525565 |
|
| Ebola virus disease | 0.632829 |
| possible Ebola outbreaks | 0.798528 |
| Grand Cape Mount | 0.546638 |
| Outbreak duration | 0.530794 |
| Emergency Ebola Response | 0.610732 |
| Ebola cases | 0.69937 |
| United Nations Children | 0.553504 |
| initial outbreak alerts | 0.558004 |
| Ebola case | 0.593341 |
| outbreak responses | 0.526331 |
| index patient | 0.592247 |
| laboratory-confirmed cases | 0.507059 |
| epidemiologically linked Ebola | 0.610684 |
| Liberia Ministry | 0.514226 |
| remote areas | 0.743789 |
| index cases | 0.526837 |
| early outbreaks | 0.702357 |
| county health teams | 0.533275 |
| median duration | 0.528687 |
| case-fatality rate | 0.587045 |
| Ebola treatment units | 0.641071 |
| potential outbreak | 0.520104 |
| symptom onset date | 0.505657 |
| case symptom onset | 0.525298 |
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Centers for Disease Control and Prevention |
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Preventive Steps to Avoid Influenza |
The flu is a contagious respiratory disease that can cause mild to severe illness, and can even lead to death - CDC |
| vaccine timing | 0.541014 |
| CDC | 0.488048 |
| body aches | 0.485292 |
| injectable influenza vaccines | 0.590996 |
| Flu-like symptoms | 0.49391 |
| lung disease | 0.485285 |
| different flu viruses | 0.808357 |
| important step | 0.49622 |
| inhaled powder | 0.480663 |
| pregnant women | 0.486723 |
| doctor’s instructions | 0.481202 |
| young children | 0.483997 |
| yearly flu vaccine | 0.863237 |
| high-risk health condition | 0.545409 |
| flu-like illness | 0.528455 |
| stuffy nose | 0.491608 |
| germs | 0.435912 |
| vaccine composition | 0.550364 |
| prescription medicines | 0.477759 |
| sick people | 0.536144 |
| flu antiviral drugs | 0.766215 |
| high-risk factors | 0.480763 |
| recombinant influenza vaccines | 0.588474 |
| high risk | 0.691921 |
| limit contact | 0.484176 |
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| possible. Learn | 0.48962 |
| flu illnesses | 0.718856 |
| alcohol-based hand rub | 0.552251 |
| chronic health conditions | 0.555771 |
| hospital stay | 0.476423 |
| severe flu illness | 0.795188 |
| flu vaccine | 0.984577 |
| milder illness | 0.514713 |
| flu complications | 0.760091 |
| respiratory symptoms | 0.47625 |
| Flu vaccination | 0.730326 |
| sore throat | 0.482164 |
| prevent flu-related hospitalizations | 0.58591 |
| close contact | 0.481001 |
| health care workers | 0.558121 |
| spray flu vaccine | 0.82142 |
| influenza vaccines | 0.631119 |
| high risk persons | 0.563904 |
| sick person | 0.507746 |
| medical care | 0.484254 |
| flu | 0.999832 |
| fever-reducing medicine | 0.485979 |
| Vaccine Virus Selection | 0.629893 |
| mouth | 0.431778 |
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Centers for Disease Control and Prevention |
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National Influenza Vaccination Week to be held December 5-11, 2010 |
National Influenza Vaccination Week to be held December 5-11, 2010 - CDC |
| CDC | 0.363794 |
| Human Services | 0.380422 |
| flu activity | 0.611265 |
| NIVW events | 0.380368 |
| U.S. Department | 0.379542 |
| Dr. Anne Schuchat | 0.453781 |
| Assistant Secretary | 0.381231 |
| Disease Control | 0.398504 |
| universal vaccination recommendation | 0.551625 |
| anyone—even healthy people—can | 0.448915 |
| flu vaccination | 0.804221 |
| heart problems | 0.37928 |
| health care professionals | 0.477787 |
| National Center | 0.389462 |
| flu vaccine recommendation | 0.714168 |
| week-long emphasis | 0.393502 |
| CDCs | 0.324109 |
| H1N1 pandemic strain | 0.478008 |
| flu strains | 0.622068 |
| Respiratory Diseases | 0.384488 |
| importance | 0.365561 |
| flu vaccine | 0.925068 |
| certain groups | 0.377578 |
| Immunization Practices | 0.396131 |
| new vaccination recommendation | 0.57646 |
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| Advisory Committee | 0.388241 |
| public health professionals | 0.478161 |
| M.P.H | 0.319281 |
| National Influenza Vaccination | 0.824864 |
| holiday season | 0.394247 |
| public health | 0.54061 |
| high risk conditions | 0.445953 |
| Health Howard K. | 0.459061 |
| health advocates | 0.400869 |
| kickoff | 0.319089 |
| better health | 0.392419 |
| at-risk audiences | 0.380656 |
| families | 0.328338 |
| influenza vaccination | 0.868534 |
| flu | 0.927385 |
| local public health | 0.460696 |
| Surgeon General | 0.383544 |
| flu shot | 0.579219 |
| Public Health Service | 0.467906 |
| older adults | 0.389909 |
| close contacts | 0.380476 |
| flu season | 0.597607 |
| traditional winter peak | 0.46374 |
| dedicated flu website | 0.64368 |
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Centers for Disease Control and Prevention |
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Diabetes and Asian Americans |
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| major risk factor | 0.629287 |
| Body weight | 0.535499 |
| At-Risk Weight Charts | 0.609159 |
| type | 0.530071 |
| number | 0.425389 |
| ethnic/racial groups | 0.53896 |
| sight | 0.423481 |
| 24.9 | 0.421024 |
| health conditions | 0.521653 |
| Facebook | 0.424961 |
| health professionals | 0.519885 |
| extra body fat | 0.757345 |
| body mass index | 0.623778 |
| patients | 0.421756 |
| National Diabetes Statistics | 0.720057 |
| normal weight range | 0.615037 |
| Asian Americans | 0.782388 |
| CDCDiabetes | 0.421802 |
| belly | 0.42255 |
| Healthy Weight | 0.516372 |
| Spotlights | 0.425126 |
| adults | 0.421773 |
| skin | 0.424043 |
| Twitter | 0.424677 |
| Nationwide | 0.426474 |
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| Asian descent | 0.530681 |
| heart disease | 0.525972 |
| muscle | 0.422829 |
| blood sugar test | 0.614013 |
| Features | 0.422036 |
| CDC Diabetes | 0.641612 |
| visceral fat | 0.983054 |
| overweight | 0.485836 |
| BMI | 0.594365 |
| organs | 0.421969 |
| lower weight | 0.527175 |
| excess visceral fat | 0.840156 |
| Everybody | 0.424364 |
| risk factor | 0.641519 |
| people | 0.494802 |
| BMI Calculator | 0.572407 |
| younger age | 0.531805 |
| doctor | 0.421727 |
| Researchers | 0.42083 |
| high blood pressure | 0.616919 |
| Asian heritage | 0.516266 |
| certain processes | 0.524635 |
| inch | 0.424076 |
| diabetes | 0.823319 |
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