| 5022 |
Centers for Disease Control and Prevention |
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Acute Radiation Syndrome |
Information on acute radiation syndrome, its symptoms and treatment. Provided by the Centers for Disease Control and Prevention (CDC). |
| bad sunburn | 0.382829 |
| recovery process | 0.284295 |
| fatigue | 0.217284 |
| infections | 0.236614 |
| seizures | 0.218816 |
| radiation dose | 0.915409 |
| radiation causes injury | 0.428616 |
| initial symptoms | 0.28892 |
| vomiting | 0.245277 |
| radiation sickness | 0.40551 |
| Complete healing | 0.373948 |
| entire body | 0.289428 |
| hair loss | 0.360577 |
| diarrhea | 0.244899 |
| Acute Radiation Syndrome | 0.487496 |
| short time | 0.446989 |
| coma | 0.219221 |
| nausea | 0.246733 |
| symptoms | 0.331168 |
| body absorbs | 0.302351 |
| exposure | 0.29509 |
| person | 0.466257 |
| hydration | 0.218201 |
| CRI | 0.237142 |
| ARS | 0.367888 |
|
| skin damage | 0.349336 |
| high radiation dose | 0.630319 |
| skin | 0.454301 |
| high levels | 0.29775 |
| fever | 0.216623 |
| variable symptoms | 0.288699 |
| medical attention | 0.292322 |
| emergency officials | 0.287784 |
| short period | 0.293085 |
| illness | 0.217809 |
| severity | 0.219598 |
| People | 0.256607 |
| blisters | 0.219328 |
| bone marrow | 0.373017 |
| temporary hair loss | 0.347121 |
| radiation emergency | 0.381057 |
| Cutaneous Radiation Injury | 0.431357 |
| internal bleeding | 0.281465 |
| appetite | 0.219643 |
| headache | 0.218406 |
| redness | 0.267346 |
| ulcers | 0.219003 |
| internal organs | 0.299441 |
| return | 0.234416 |
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Centers for Disease Control and Prevention |
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Lost Opportunities for Smoking Cessation Among Adults With Diabetes in Florida (2007) and Maryland (2006) |
null |
| smoking rates | 0.529584 |
| smoking cessation interventions | 0.52479 |
| data | 0.53097 |
| Risk Factor Surveillance | 0.493551 |
| diabetes smoke | 0.547878 |
| smoking cessation skills | 0.524487 |
| noninstitutionalized Maryland adults | 0.496655 |
| current smokers | 0.669294 |
| Maryland College Park | 0.489051 |
| undiagnosed diabetes | 0.547968 |
| current smoking | 0.516852 |
| non-hispanic white adults | 0.518216 |
| dentists | 0.544321 |
| non-Hispanic black adults | 0.49436 |
| smoking interventions | 0.481921 |
| Tammie M. Johnson | 0.496093 |
| Florida | 0.56974 |
| smoking cessation training | 0.526234 |
| Tobacco Callback Survey | 0.500572 |
| dentist | 0.484007 |
| smoking intervention | 0.498513 |
| smoking cessation | 0.858931 |
| smoking cessation activities | 0.539903 |
| smoking prevention | 0.486452 |
| survey | 0.503868 |
|
| Behavioral Risk Factor | 0.493623 |
| Maryland | 0.600016 |
| adult current smokers | 0.50791 |
| smoking cessation advice | 0.784874 |
| oral health professionals | 0.570487 |
| self-reported diabetes diagnosis | 0.53708 |
| adults | 0.693346 |
| Lisa A. Bethune | 0.491971 |
| state telephone surveys | 0.501293 |
| incorporate smoking cessation | 0.525171 |
| Factor Surveillance Survey | 0.501114 |
| Maryland Adult Tobacco | 0.511929 |
| Current smoking rates | 0.507092 |
| non-Hispanic blacks | 0.484792 |
| Adult Tobacco Survey | 0.500586 |
| non-Hispanic whites | 0.52936 |
| health care | 0.584187 |
| borderline diabetes | 0.528542 |
| Diabetes organizations | 0.570557 |
| higher smoking rates | 0.521015 |
| Florida Tobacco Callback | 0.507642 |
| diabetes complications | 0.568344 |
| Florida Behavioral Risk | 0.510602 |
| diabetes management | 0.515012 |
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Centers for Disease Control and Prevention |
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Store type and demographics influence on the availability and price of healthful foods, Leon County, Florida, 2008. |
The availability of healthful foods varies by neighborhood. We examined the availability and price of more healthful foods by store type, neighborhood income level, and racial composition in a community with high rates of diet-related illness and death. |
| food stores | 0.512519 |
| dietary guidelines | 0.322258 |
| census tracts | 0.258053 |
| low-income neighborhoods | 0.25273 |
| half-gallon size milk | 0.289922 |
| convenience store sampling | 0.257916 |
| Retail food stores | 0.357699 |
| price | 0.412478 |
| previous studies | 0.285813 |
| supermarkets | 0.364189 |
| large retail stores | 0.397302 |
| neighborhood income level | 0.498263 |
| nutrition environment | 0.742494 |
| neighborhoods | 0.312367 |
| healthful food | 0.260553 |
| grocery stores | 0.802163 |
| grocery store | 0.252548 |
| fresh fruits | 0.254365 |
| low-fat milk | 0.525436 |
| census tract | 0.39132 |
| high-income neighborhoods | 0.264425 |
| community nutrition environment | 0.273384 |
| food environment study | 0.246652 |
| grocery store beverages | 0.239936 |
| whole-wheat bread | 0.417148 |
|
| consumer nutrition environment | 0.659621 |
| study | 0.280872 |
| Public Health | 0.246737 |
| convenience stores | 0.930053 |
| High-income neighborhood stores | 0.375225 |
| availability | 0.505006 |
| Nutr Educ Behav | 0.287583 |
| vegetables | 0.254323 |
| neighborhood characteristics | 0.365654 |
| convenience store | 0.286865 |
| thrifty food plan | 0.255651 |
| Food store availability | 0.275939 |
| low-income neighborhood stores | 0.396335 |
| Florida Department | 0.239995 |
| shelf space | 0.360864 |
| nutrition environment studies | 0.266438 |
| store type | 0.64449 |
| neighborhood racial composition | 0.482508 |
| low-fat half-gallon size | 0.262673 |
| predominantly black neighborhoods | 0.255386 |
| lowest price | 0.242028 |
| Leon County | 0.479433 |
| racial composition | 0.60912 |
| healthful foods | 0.900734 |
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Centers for Disease Control and Prevention |
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Emerging Infectious Diseases - EID News Synopsis: February 2013 |
EID News Synopsis: February 2013 |
| HPA Molecular Virology | 0.710416 |
| Dr. Brendan Payne | 0.704568 |
| infected mosquitoes | 0.634702 |
| HIV-infected persons | 0.621927 |
| CDC study | 0.698469 |
| human health | 0.62098 |
| Ebola virus | 0.651932 |
| dormant bacteria | 0.758008 |
| Disease Control | 0.63585 |
| northeastern states | 0.62691 |
| Harvard Medical School | 0.725604 |
| central Asia | 0.625326 |
| liver disease | 0.634155 |
| solid organ transplant | 0.693754 |
| Molecular studies | 0.623109 |
| severe mosquito-transmitted diseases | 0.775924 |
| brain damage | 0.834356 |
| eastern equine encephalitis | 0.977282 |
| increasingly recognized disease | 0.727035 |
| recent study | 0.713846 |
| Elisabeth Carniel | 0.626373 |
| Infectious Diseases | 0.75669 |
| severe disease | 0.679169 |
| Institut Pasteur | 0.622292 |
|
| United States | 0.85261 |
| industrialized countries | 0.622816 |
| new bacteria | 0.629834 |
| EcoHealth Alliance | 0.620446 |
| natural reservoir | 0.617914 |
| olival@ecohealthalliance.org | 0.621821 |
| Disease symptoms | 0.656207 |
| public health journal | 0.762696 |
| Viral Hepatitis | 0.666735 |
| Hospital Boston | 0.626386 |
| recent review | 0.632867 |
| Yersinia Research Unit | 0.72355 |
| environment changes | 0.619526 |
| Kevin J. Olival | 0.713887 |
| little warning | 0.622237 |
| weakened immune systems | 0.718891 |
| United Kingdom | 0.619518 |
| p.m. EDT | 0.652161 |
| vector-borne infections | 0.645891 |
| recent outbreak | 0.63282 |
| Contact | 0.622937 |
| public health problem | 0.713123 |
| severe brain damage | 0.766176 |
| fatal disease | 0.64448 |
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Centers for Disease Control and Prevention |
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Fact Sheets - Alcohol |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
|
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
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| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
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Centers for Disease Control and Prevention |
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New CDC Vital Signs: Alcohol Screening and Counseling | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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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Centers for Disease Control and Prevention |
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Email Updates: March 26, 2012'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| Health Grand Rounds | 0.434636 |
| prevention activities | 0.336347 |
| epidemic threshold | 0.321947 |
| CDC | 0.888361 |
| visit FoodSafety.gov | 0.323528 |
| Emergency Preparedness | 0.450978 |
| infectious disease conference | 0.426307 |
| Antiviral Medication Recommendations | 0.439895 |
| Electronically Subscribe | 0.32241 |
| Disease Control | 0.395215 |
| gastroenteritis deaths | 0.509395 |
| evidence-based strategies | 0.32248 |
| Weekly Flu View | 0.4164 |
| EID Home Page | 0.436445 |
| Childhood tuberculosis | 0.326543 |
| outbreaks implicated foods | 0.443624 |
| Clostridium difficile | 0.318659 |
| scientific articles | 0.32579 |
| Current Travel Warnings | 0.407765 |
| 122-Cities Mortality Reporting | 0.416339 |
| common culprits | 0.320851 |
| food outbreaks | 0.346543 |
| TB risk factors | 0.633538 |
| Mar | 0.492604 |
|
| weekly feature | 0.334016 |
| TB disease | 0.697483 |
| health workers | 0.32173 |
| latent tb infection | 0.981761 |
| COCA Email Update | 0.44454 |
| excessive alcohol | 0.317808 |
| health services | 0.402935 |
| Influenza Season | 0.337224 |
| World TB | 0.604255 |
| CDC research | 0.498848 |
| Foodborne disease outbreaks | 0.454909 |
| MMWR publications | 0.322582 |
| Specific Hazards preparedness | 0.436809 |
| program activity | 0.334018 |
| deadliest diseases | 0.317584 |
| Science Clips | 0.325843 |
| better training | 0.31786 |
| CDC Scienceclips | 0.539362 |
| in-person training centers | 0.430028 |
| Territorial Support | 0.33365 |
| FoodSafety.gov Reports FDA | 0.418257 |
| International Conference | 0.392855 |
| Emerging Infectious Diseases | 0.548332 |
| USDA Food Recalls | 0.404043 |
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Centers for Disease Control and Prevention |
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Ebola Virus Disease Cases Among Health Care Workers NotWorking in Ebola Treatment Units - Liberia, June-August,2014 |
On November 14, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| adequate infection control | 0.512116 |
| Ebola virus exposure | 0.526423 |
| ebola virus | 0.705898 |
| Ebola symptoms | 0.452152 |
| county health officials | 0.427616 |
| Social Welfare | 0.460501 |
| HCWs | 0.61207 |
| largest Ebola virus | 0.511392 |
| health care facility | 0.400434 |
| personal protective equipment | 0.39742 |
| health facilities | 0.556806 |
| HCW clusters | 0.393567 |
| infected patients | 0.410545 |
| source patients | 0.433354 |
| ebola virus disease | 0.543068 |
| body fluids | 0.411171 |
| patient care | 0.39366 |
| Liberian Ministry | 0.421696 |
| health care facilities | 0.777664 |
| ebola treatment units | 0.544046 |
| health care settings | 0.603032 |
| Ebola patients | 0.568588 |
| Ebola | 0.876498 |
| standard infection control | 0.397901 |
| direct physical contact | 0.425935 |
|
| robust Ebola response | 0.473085 |
| infection control | 0.842441 |
| Ebola cases | 0.567548 |
| infection control precautions | 0.389282 |
| physical contact | 0.427373 |
| source patient | 0.421804 |
| health care workers | 0.473283 |
| health care | 0.974704 |
| infection control practices | 0.561276 |
| clusters | 0.520375 |
| routine health care | 0.389945 |
| Inadequate infection control | 0.389726 |
| HCW source patients | 0.393393 |
| non-ETU health facilities | 0.45525 |
| infection control infrastructure | 0.507871 |
| West Africa Ebola | 0.469774 |
| infection control protocols | 0.395955 |
| functioning health care | 0.390848 |
| potential Ebola cases | 0.485875 |
| Liberia | 0.423193 |
| infection control measures | 0.408106 |
| HCW cases | 0.421776 |
| non-ETU health care | 0.776807 |
| infection control equipment | 0.399673 |
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Addressing Health Disparities in Early Childhood | Public Health Grand Rounds |
Addressing Health Disparities in Early Childhood |
| Health Grand Rounds | 0.798996 |
| Associate Clinical Professor | 0.432989 |
| Birth Defects | 0.328417 |
| Mary Ann McCabe | 0.439537 |
| lasting value | 0.345324 |
| Susan Laird | 0.327488 |
| Paul H. Dworkin | 0.454372 |
| George Washington University | 0.437085 |
| health disparities | 0.655921 |
| Dr. Phoebe Thorpe | 0.48582 |
| Support Healthy Development | 0.45927 |
| Healthy Behavioral Development | 0.45624 |
| Early Childhood Health | 0.568748 |
| young children | 0.570608 |
| early experiences | 0.498855 |
| National Center | 0.458699 |
| well-being | 0.294035 |
| United States billions | 0.475906 |
| overall health | 0.386882 |
| environmental factors | 0.342577 |
| community intervention | 0.342298 |
| lifelong positive impacts | 0.473617 |
| poor quality | 0.341613 |
| overall state | 0.356337 |
| Communications Director | 0.341857 |
|
| problem costs | 0.339379 |
| early childhood | 0.96621 |
| Community Child Health | 0.496738 |
| prudent investments | 0.345122 |
| Developmental Disabilities | 0.325469 |
| Connecticut Children | 0.353827 |
| public health partnerships | 0.508624 |
| Medical Center | 0.336564 |
| Georgina Peacock | 0.337877 |
| Public Health Programs | 0.485018 |
| healthy development | 0.464136 |
| Deputy Scientific Director | 0.454337 |
| early childhood education | 0.561521 |
| pm EDT | 0.377833 |
| positive experiences | 0.365568 |
| public health | 0.70249 |
| Human Development | 0.342041 |
| Executive Vice President | 0.441823 |
| early intervention | 0.374467 |
| physical development | 0.375047 |
| Family Policy | 0.328172 |
| children’s health | 0.400391 |
| Board President | 0.333947 |
| John Iskander | 0.342719 |
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Centers for Disease Control and Prevention |
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Culture-Independent Diagnostic Tests - Foodborne Illness |
Culture independent tests for foodborne illness are disrupting the ability of public health scientists to detect outbreaks and track antibiotic resistance. |
| Campylobacter diarrheal | 0.378149 |
| CDC | 0.378558 |
| extracts important information | 0.424053 |
| pure bacterial strain | 0.485596 |
| perform tests | 0.371984 |
| positive CIDTs | 0.372924 |
| scientific data | 0.363917 |
| CIDT kit manufacturers | 0.410724 |
| Shiga toxin-producing E. | 0.415102 |
| PulseNet data | 0.370415 |
| harmful bacteria | 0.396811 |
| disease trends | 0.506683 |
| diagnostic laboratories | 0.373719 |
| additional information | 0.364849 |
| practical tests | 0.368848 |
| Culture-derived bacterial isolates | 0.508397 |
| sick people | 0.365682 |
| petri dish | 0.36398 |
| public health officials | 0.896863 |
| prevention measures | 0.367005 |
| Foodborne Diseases Active | 0.430072 |
| clinical laboratories | 0.576187 |
| foodborne illness | 0.771906 |
| FoodNet sites | 0.376508 |
| precise strains | 0.366677 |
|
| PulseNet cluster detection | 0.423252 |
| public health laboratories | 0.585337 |
| culturing process | 0.384322 |
| foodborne illness outbreaks | 0.510811 |
| foodborne illness cases | 0.479362 |
| bacterial culture process | 0.461999 |
| laboratory network | 0.365831 |
| public health scientists | 0.442274 |
| bacterial isolates | 0.704372 |
| resistance pattern | 0.375114 |
| antibiotic resistance | 0.588715 |
| track antibiotic resistance | 0.441041 |
| public health | 0.932952 |
| new precise method | 0.423461 |
| Culture-independent diagnostic tests | 0.441999 |
| antibiotic-resistant Campylobacter | 0.373394 |
| valuable opportunities | 0.365226 |
| final stage | 0.364913 |
| common source | 0.368024 |
| CIDTs | 0.473257 |
| DNA fingerprints | 0.548864 |
| monitor disease trends | 0.434866 |
| DNA fingerprinting methods | 0.424108 |
| foodborne illness trends | 0.464794 |
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