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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0305 |
We assessed the hypothesis that community affluence modifies the association between individual socioeconomic status (SES) and 6 cardiovascular disease (CVD) risk factors: diabetes, hypertension, physical inactivity, obesity, smoking, and poor nutrition. |
| cardiovascular disease | 0.308892 |
| individual ses | 0.440386 |
| Public Health | 0.361109 |
| modifiable risk factors | 0.291669 |
| median age | 0.277803 |
| health care services | 0.214133 |
| community affluence | 0.904446 |
| disease risk factors | 0.285407 |
| county median household | 0.396527 |
| Risk Factor Surveillance | 0.24041 |
|
| annual household income | 0.227659 |
| high-affluence communities | 0.336128 |
| Colorado Behavioral Risk | 0.254203 |
| modifiable CVD risk | 0.203156 |
| social determinants | 0.259639 |
| low SES | 0.339826 |
| median household income | 0.640164 |
| high SES | 0.237687 |
| Behavioral Risk Factor | 0.240651 |
| CVD risk factors | 0.797888 |
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Race/Ethnicity, Adults 18 to 49 Years at High-Risk - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 18 to 49 Years at High-Risk - CDC |
| Native Hawaiian | 0.46599 |
| Pacific Islander | 0.504656 |
| data | 0.403782 |
| report Final estimates | 0.516125 |
| season estimates | 0.297261 |
| United States | 0.295911 |
| influenza vaccination coverage | 0.636527 |
| methods | 0.294342 |
| U.S. civilian population | 0.44058 |
| Risk Factor Surveillance | 0.463888 |
| recent influenza seasons | 0.405687 |
| seasonal influenza vaccination | 0.947513 |
| Monovalent Vaccination Coverage | 0.505756 |
| vaccination coverage | 0.693373 |
| Alaska Native | 0.466462 |
| Excludes U.S. territories | 0.469512 |
| heart disease | 0.430709 |
| Additional estimates | 0.30212 |
| lung conditions | 0.291306 |
| estimates | 0.777445 |
|
| high risk conditions | 0.660825 |
| National Immunization Survey | 0.276118 |
| vaccination periods | 0.31568 |
| data sources | 0.219111 |
| influenza season | 0.471671 |
| high-risk conditions | 0.206199 |
| kidney conditions | 0.291521 |
| H1N1 Flu Survey | 0.445649 |
| Table 8-B | 0.205566 |
| Table 8-A | 0.205326 |
| confidence interval half-width | 0.464387 |
| BRFSS adult estimates | 0.387528 |
| Coverage estimates | 0.320127 |
| chronic illness | 0.466671 |
| Data Source | 0.385997 |
| vaccination recommendations | 0.320155 |
| vaccination data | 0.351434 |
| analytic methods | 0.207426 |
| national weighted estimates | 0.414587 |
| Behavioral Risk Factor | 0.464198 |
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Centers for Disease Control and Prevention |
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NCEH A to Z Index - C |
Resources for the National Center for Environmental Health |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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Centers for Disease Control and Prevention |
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The Social-Ecological Model: A Framework for Prevention |
null |
| close relationships | 0.213338 |
| housing opportunities | 0.215018 |
| closest social circle-peers | 0.418921 |
| single intervention | 0.236186 |
| potential prevention | 0.253465 |
| prevention efforts | 0.23473 |
| cultural norms | 0.227788 |
| level influence factors | 0.601862 |
| social isolation | 0.217 |
| healthy relationships | 0.207592 |
| acceptable way | 0.223993 |
| personal history factors | 0.575395 |
| physical environment | 0.215796 |
| workplace settings | 0.212436 |
| foster problem | 0.22186 |
| peer programs | 0.210071 |
|
| violence | 0.958229 |
| family-focused prevention programs | 0.413682 |
| four-level social-ecological model | 0.453201 |
| societal factors | 0.736743 |
| life skills | 0.221912 |
| large societal factors | 0.565098 |
| ultimate goal | 0.277265 |
| social relationships | 0.213727 |
| social policies | 0.213606 |
| factors | 0.882565 |
| family members-influences | 0.225092 |
| multiple levels | 0.241405 |
| social inequalities | 0.227721 |
| broad societal factors | 0.548079 |
| Prevention strategies | 0.506407 |
| Specific approaches | 0.224723 |
|
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Centers for Disease Control and Prevention |
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Science Clips - Monday, March 10, 2014 |
CDC - Stephen B. Thacker Library - Science Clips |
| Haemophilus influenzae type | 0.560365 |
| Nichol ST | 0.596221 |
| Pediatr Infect Dis | 0.653535 |
| National Health Interview | 0.58535 |
| CDC Science Clips | 0.56922 |
| Emerg Infect Dis. | 0.911673 |
| colorectal cancer screening | 0.564339 |
| lymphocytic choriomeningitis virus | 0.612546 |
| Brief sexual histories | 0.56033 |
| parvum IId family | 0.560102 |
| Prenatal phthalate exposures | 0.556662 |
| risk factors | 0.561156 |
| body mass index | 0.569079 |
| Rollin PE | 0.590999 |
| Auditory risk estimates | 0.557812 |
| neurobehavioral development scores | 0.56034 |
| Int J Audiol. | 0.586651 |
| pulmonary tuberculosis patients | 0.560771 |
| Clin Infect Dis. | 0.614985 |
| high HIV-prevalence setting | 0.563583 |
| Adolesc Health. | 0.563198 |
| Environ Health Perspect. | 0.572092 |
| Dig Dis Sci. | 0.562056 |
| Croft JB | 0.572326 |
| Two-dose varicella vaccination | 0.559855 |
|
| AIDS Patient Care | 0.5672 |
| respiratory syncytial virus | 0.566806 |
| obstructive pulmonary disease | 0.580522 |
| multipremises feeder-rodent operation | 0.561859 |
| United States | 0.713455 |
| Borne Zoonotic Dis. | 0.577001 |
| public health community | 0.587568 |
| Afr Med J. | 0.565264 |
| Elevated transferrin saturation | 0.565846 |
| public health | 0.601963 |
| Feb | 0.752766 |
| public health literature | 0.56858 |
| Murphy WJ | 0.558603 |
| B. Thacker CDC | 0.562532 |
| Birth Defects Prevention | 0.561748 |
| Blaney DD | 0.566046 |
| Radiat Prot Dosimetry. | 0.557474 |
| Medical Care Survey | 0.577028 |
| acute febrile disease | 0.563677 |
| Infect Dis J. | 0.654234 |
| Subst Abuse Treat. | 0.556858 |
| routine HIV/STD testing | 0.562445 |
| public health research | 0.585922 |
| ensemble thermal characteristics | 0.560989 |
|
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Centers for Disease Control and Prevention |
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Typhimurium Infections Linked to Microbiology Laboratories |June 2014 | Salmonella |
Human Salmonella Typhimurium Infections Linked to Exposure to Clinical and Teaching Microbiology Laboratories |
| college | 0.316886 |
| date | 0.315413 |
| teaching laboratories | 0.406041 |
| PulseNet | 0.332913 |
| human biology course | 0.452397 |
| CDC | 0.338546 |
| quality control purposes | 0.468124 |
| Indiana | 0.315131 |
| illnesses | 0.331717 |
| Salmonella Typhimurium | 0.815043 |
| microbiology course | 0.407121 |
| Public health investigators | 0.483897 |
| biosafety measures | 0.385143 |
| Salmonella infection | 0.452021 |
| commercially available strains | 0.520755 |
| ill persons | 0.969198 |
| deaths | 0.315396 |
| PFGE pattern | 0.388601 |
| diagnostic testing | 0.394544 |
| median age | 0.392496 |
| public health officials | 0.484184 |
| fingerprints | 0.319106 |
| different exposures | 0.387523 |
| Illinois | 0.315139 |
| Key Resources page | 0.451519 |
|
| pulsed-field gel electrophoresis | 0.475007 |
| national subtyping network | 0.480897 |
| Salmonella bacteria | 0.475459 |
| laboratory settings | 0.399912 |
| Salmonella Typhimurium strains | 0.601687 |
| regulatory agency laboratories | 0.483771 |
| writing utensils | 0.383379 |
| students | 0.328018 |
| percent | 0.334546 |
| states | 0.332489 |
| microbiology laboratory exposure | 0.53075 |
| total | 0.328925 |
| university teaching microbiology | 0.520237 |
| public health | 0.567727 |
| laboratory safety training | 0.455517 |
| cases | 0.316738 |
| specific guidance documents | 0.448602 |
| New Jersey | 0.389692 |
| food | 0.315738 |
| clinical microbiology laboratory | 0.485137 |
| lab coats | 0.382032 |
| Salmonella Typhimurium infections | 0.578815 |
| New Hampshire | 0.389759 |
| available information | 0.387629 |
|
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Alcohol Poisoning Deaths infographic |
CDC Vital Signs - Alcohol Poisoning Deaths |
| Vermont | 0.428321 |
| nearest whole number | 0.62156 |
| Census standard population | 0.725517 |
| Accidental poisoning | 0.770535 |
| alcohol poisoning deaths | 0.968687 |
| reliability | 0.434562 |
| Values | 0.437476 |
| §Alcohol poisoning death | 0.868159 |
| cause | 0.433202 |
| age-adjusted death rates | 0.681824 |
| U.S. | 0.428059 |
| undetermined intent | 0.591258 |
| average annual number | 0.713234 |
|
| North Dakota | 0.568284 |
| 1,000,000 | 0.428357 |
| Codes | 0.430235 |
| Hawaii | 0.428467 |
| *Alcohol poisoning deaths | 0.95493 |
| Delaware | 0.428612 |
| Diseases | 0.430409 |
| persons | 0.428283 |
| International Classification | 0.580516 |
| Columbia | 0.428515 |
| exposure | 0.478587 |
| Revision | 0.441272 |
| Y15 | 0.429912 |
|
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Effectiveness of Fresh to You, a Discount Fresh Fruit and Vegetable Market in Low-Income Neighborhoods, on Children’s Fruit and Vegetable Consumption, Rhode Island, 2010–2011 |
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. |
| high school | 0.633833 |
| vegetable consumption | 0.632181 |
| community organization representatives | 0.63213 |
| Supplemental Nutrition Program | 0.620383 |
| low-income neighborhoods | 0.696582 |
| mobile markets | 0.613971 |
| Brown University | 0.843844 |
| Public Health Institute | 0.663301 |
| postintervention focus groups | 0.701773 |
| University research staff | 0.646248 |
| fresh produce markets | 0.733619 |
| racially/ethnically diverse children | 0.624096 |
| ethnic produce | 0.615072 |
| below-retail prices | 0.612231 |
| Market Nutrition Program | 0.599901 |
| Special Supplemental Nutrition | 0.612394 |
| Island Public Health | 0.667385 |
| markets | 0.925825 |
| Brown University research | 0.639965 |
| local produce distributor | 0.666608 |
| diverse low-income children | 0.624317 |
| parents | 0.625363 |
| Public Health | 0.724122 |
| Introduction
Eating fruits | 0.60605 |
| access | 0.616469 |
|
| United States | 0.632086 |
| fruit | 0.668103 |
| low-income Rhode Island | 0.621126 |
| vegetables | 0.750375 |
| farmers markets | 0.674884 |
| Rhode Island Public | 0.65902 |
| fruits | 0.713716 |
| Community Health Promotion | 0.648064 |
| focus groups | 0.838256 |
| high school degree | 0.628978 |
| affordable fresh fruits | 0.641995 |
| Rhode Island | 0.916881 |
| Clin Nutr | 0.603274 |
| community organizations | 0.728081 |
| vegetable intake | 0.86003 |
| children’s fruit | 0.645222 |
| mobile Fresh | 0.598404 |
| low-income residents | 0.597675 |
| food | 0.615142 |
| Brown University School | 0.672199 |
| et al | 0.611583 |
| cognitive assessment testing | 0.66369 |
| Community organization staff | 0.595964 |
| community health center | 0.60361 |
|
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CDC and Food Safety | Food Safety | CDC |
Preventing foodborne illness and food safety depends on strong partnerships. CDC, the U.S. Food and Drug Administration (FDA), and the U.S. Department of Agriculture’s (USDA) Food Safety Inspection Service collaborate at the federal level to promote food safety. |
| CDC | 0.477675 |
| foodborne infections | 0.58948 |
| Antimicrobial Resistance Monitoring | 0.5407 |
| Modernization Act regulations | 0.529618 |
| U.S. Department | 0.440956 |
| state PulseNet laboratories | 0.538093 |
| food industries | 0.477817 |
| DNA fingerprinting | 0.547383 |
| foodborne illnesses | 0.82824 |
| U.S. Food | 0.477956 |
| multistate Listeria outbreak | 0.584203 |
| contaminated foods | 0.448747 |
| FDA Food Safety | 0.602666 |
| food safety action | 0.600581 |
| food animals | 0.456627 |
| monthly update | 0.438088 |
| rare Listeria strains | 0.564755 |
| international agencies | 0.431261 |
| traditional technique | 0.541402 |
| foodborne illness | 0.818133 |
| foodborne illness-causing bacteria | 0.752215 |
| foodborne outbreaks | 0.606461 |
| ill people | 0.506115 |
| costly—yet preventable—public health | 0.572066 |
|
| food safety challenge | 0.570877 |
| email address | 0.444158 |
| Drug Administration | 0.431253 |
| outbreak investigations | 0.462088 |
| Listeria contamination | 0.442979 |
| certain people | 0.431273 |
| recent work | 0.444353 |
| genome sequencing technology | 0.566532 |
| food safety goals | 0.601817 |
| public health burden | 0.538544 |
| antibiotic resistance | 0.69399 |
| specific foods | 0.431342 |
| Salmonella bacteria samples | 0.598183 |
| food producers | 0.476502 |
| DNA fingerprinting network | 0.533181 |
| local health departments | 0.751579 |
| food exposure | 0.455118 |
| CDC scientists | 0.465355 |
| food production | 0.459397 |
| food safety systems | 0.611496 |
| food safety | 0.994278 |
| infectious disease | 0.439206 |
| foodborne bacteria | 0.661756 |
| Campylobacter standards | 0.446973 |
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Epilepsy in Veterans | CDC Features |
November is National Epilepsy Awareness Month and November 11 is Veterans Day. Veterans are at higher risk of developing epilepsy. Learn more about resources to help Veterans and families. |
| epilepsy | 0.939049 |
| Basic Training | 0.474306 |
| community-based resources | 0.542467 |
| brain disorder | 0.48711 |
| Orman JA | 0.479594 |
| Veterans Health Administration | 0.677868 |
| football stadium | 0.476636 |
| Department | 0.429755 |
| Disease Control | 0.472222 |
| psychogenic non-epileptic seizures | 0.582425 |
| VHA data | 0.479643 |
| TBI | 0.429914 |
| epilepsy stigma | 0.678605 |
| brief changes | 0.481282 |
| Procedure Requirements | 0.466995 |
| VA facilities | 0.538112 |
| ) distress. | 0.474084 |
| traumatic brain injury | 0.539524 |
| Additional community-based resources | 0.540181 |
| VHA Epilepsy Centers | 0.744228 |
| FY15 Annual Report | 0.529832 |
| epilepsy self-management programs | 0.73236 |
| training resources | 0.475307 |
| new video series | 0.537659 |
|
| veterans | 0.823953 |
| military service.3 Veterans | 0.668392 |
| Pugh MJ | 0.475893 |
| Iraq wars | 0.47086 |
| seizure disorders | 0.490739 |
| active epilepsy | 0.687334 |
| prevalence | 0.432509 |
| abnormal electrical activity | 0.688946 |
| Defense Instruction | 0.469065 |
| Head Trauma Rehabil | 0.528641 |
| Armed Forces | 0.465818 |
| National Epilepsy Awareness | 0.798554 |
| broad term | 0.482001 |
| Physical Standards | 0.469374 |
| health care | 0.472344 |
| higher risk | 0.560431 |
| Epilepsy Foundation website | 0.732461 |
| United States.1 Experts | 0.547604 |
| traumatic brain injuries | 0.547247 |
| ECoE website | 0.474753 |
| comprehensive treatment | 0.474738 |
| PNES.3 The ECoE | 0.475969 |
| Jaramillo CA | 0.477024 |
| Veterans Affairs | 0.589566 |
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