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Assessment of Rabies Exposure Risk in a Group of U.S. AirForce Basic Trainees - Texas, January 2014 |
Bryant J. Webber, MD1, Karyn J. Ayers, MD, PhD2, Brad S. |
| risk assessments | 0.551187 |
| flight-based risk category | 0.536239 |
| Rabies Exposure Risk | 0.758867 |
| rabies transmission risk | 0.674416 |
| mass bat exposure | 0.615451 |
| Air Force trainees | 0.711188 |
| public health teams | 0.73972 |
| raccoon-variant rabies | 0.582318 |
| time trainees | 0.596295 |
| Joint Base San | 0.59709 |
| Military trainees | 0.599768 |
| Mexican free-tailed bats | 0.65579 |
| bat | 0.671743 |
| important risk factor | 0.551548 |
| indoor bat exposures | 0.576314 |
| commercial bat control | 0.631256 |
| Mexican free-tailed bat | 0.579623 |
| numerous bat sightings | 0.561276 |
| mass indoor exposure | 0.536476 |
| public health team | 0.533371 |
| index flight | 0.643555 |
| bat control specialist | 0.631243 |
| bat sightings | 0.671017 |
| group-based rabies risk | 0.704784 |
| older buildings | 0.554942 |
|
| civil engineering | 0.552139 |
| public health response | 0.547162 |
| Force Basic Trainees | 0.707708 |
| rabies PEP | 0.821853 |
| human rabies infections | 0.682126 |
| low risk | 0.535726 |
| rabies virus | 0.653994 |
| trainees | 0.863805 |
| preventive medicine | 0.563181 |
| multiple trainees | 0.588954 |
| human rabies | 0.836073 |
| U.S. Air Force | 0.913013 |
| rabies immune globulin | 0.950478 |
| Bryant J. Webber | 0.591206 |
| state health department | 0.537641 |
| previous mass bat | 0.567704 |
| new buildings | 0.547545 |
| public health | 0.791828 |
| undetected bat bite | 0.569341 |
| infected bat | 0.548462 |
| Force basic training | 0.611468 |
| basic military training | 0.539232 |
| Base San Antonio | 0.596834 |
| incoming trainees | 0.58408 |
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| 5409 |
Centers for Disease Control and Prevention |
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Getting serious about the prevention of chronic diseases. |
null |
| genomic medicine | 0.234471 |
| chronic adult diseases | 0.352613 |
| primary care providers | 0.242385 |
| consumer protection regulations | 0.243639 |
| state health departments | 0.288709 |
| Health Commun | 0.246188 |
| health care reform | 0.555276 |
| environmental protection Reduce | 0.246584 |
| Support public health | 0.311647 |
| public health officials | 0.325526 |
| health hazards | 0.233872 |
| public’s health | 0.254396 |
| health professionals | 0.295318 |
| Environmental Health | 0.246675 |
| U.S. health care | 0.321967 |
| local public health | 0.483179 |
| health care costs | 0.363373 |
| Affordable Care Act | 0.273056 |
| health care priority | 0.316801 |
| chronic illnesses | 0.292617 |
| chronic disease | 0.876826 |
| Urban Health | 0.242496 |
| health reform | 0.29044 |
| Environmental Protection Agency | 0.249976 |
|
| public health protection | 0.340346 |
| public health infrastructure | 0.51273 |
| chronic disease surveillance | 0.348255 |
| United States | 0.468478 |
| various chronic conditions | 0.365614 |
| Health Aff | 0.346556 |
| health care systems | 0.316017 |
| heart disease | 0.25205 |
| chronic disease control | 0.375405 |
| additional prevention skills | 0.234257 |
| health care | 0.909912 |
| public health | 0.733068 |
| health goals | 0.243131 |
| New York | 0.362037 |
| New York School | 0.343778 |
| chronic diseases | 0.829425 |
| active transport | 0.235068 |
| chronic disease deaths | 0.382888 |
| chronic conditions | 0.696042 |
| community health centers | 0.400763 |
| local health departments | 0.309455 |
| physical activity | 0.30674 |
| chronic condition | 0.367557 |
| air pollution | 0.359301 |
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Centers for Disease Control and Prevention |
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Offsite Shipment of Secondary Waste and Hydrolysate |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program. The Army is shifting management and disposal of secondary wastes from chemical agent disposal facilities. A key aspect of this proposal transitions control and management of potential chemical agent-contaminated waste from the Army to off-site commercial hazardous waste-treatment facilities. |
| Army | 0.260601 |
| public health aspects | 0.672626 |
| CDC | 0.468076 |
| change transitions | 0.435455 |
| commercial hazardous waste-treatment | 0.696229 |
| specific plans | 0.405369 |
| chemical agent wastes | 0.681693 |
| National Research Council | 0.636522 |
| chemical agent disposal | 0.778882 |
| human health | 0.37993 |
|
| key aspect | 0.436621 |
| secondary chemical agent | 0.965225 |
| chemical agent waste | 0.637986 |
| secondary wastes | 0.664946 |
| safety risks | 0.382761 |
| chemical agent-contaminated waste | 0.696655 |
| Secondary Waste Disposal | 0.805795 |
| Regulatory Requirements | 0.390085 |
| cost considerations | 0.40917 |
|
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| 8770 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Survey of New York City Resident Physicians on Cause-of-Death Reporting, 2010 - CDC |
Death certificates contain critical information for epidemiology, public health research, disease surveillance, and community health programs. In most teaching hospitals, resident physicians complete death certificates. The objective of this study was to examine the experiences and opinions of physician residents in New York City on the accuracy of the cause-of-death reporting system. |
| residency programs | 0.245743 |
| complete death certificates | 0.271228 |
| high-volume residents | 0.227788 |
| septic shock | 0.218774 |
| survey respondents | 0.308742 |
| emergency medicine | 0.294416 |
| death certificate errors | 0.211364 |
| internal medicine | 0.301895 |
| residency program | 0.326065 |
| medical examiner | 0.354367 |
| cause-of-death reporting | 0.440899 |
| York City Resident | 0.274445 |
| New York City | 0.997099 |
| respiratory distress syndrome | 0.240192 |
| correct cause | 0.243498 |
| alternate cause | 0.268422 |
| high-volume respondents | 0.504335 |
| general surgery respondents | 0.261753 |
| resident physicians | 0.325834 |
| internal medicine respondents | 0.268594 |
| resident respondents | 0.251622 |
| physicians complete death | 0.223666 |
|
| Death Certificate Accuracy | 0.211862 |
| Death certificate data | 0.228902 |
| death certificates | 0.984505 |
| public health | 0.257914 |
| acute respiratory distress | 0.237721 |
| physicians completing death | 0.209332 |
| fewer death certificates | 0.225032 |
| emergency medicine residents | 0.212876 |
| inaccurate cause | 0.208438 |
| City Resident Physicians | 0.275474 |
| true cause | 0.207366 |
| immediate cause | 0.247877 |
| respondents | 0.571154 |
| death certificate | 0.741566 |
| survey perceived death | 0.208705 |
| general surgery residency | 0.2082 |
| electronic death certificate | 0.209959 |
| electronic death reporting | 0.213312 |
| residents | 0.413233 |
| survey | 0.338853 |
| current cause-of-death | 0.207791 |
| death certificate completion | 0.392559 |
|
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| 11769 |
Centers for Disease Control and Prevention |
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Michael J. Beach, PhD | CDC Spokesperson | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Piercefield EW | 0.644562 |
| recreational swimming | 0.643411 |
| Stockman LJ | 0.684509 |
| James H. Nakano | 0.681536 |
| debilitating illness | 0.644533 |
| Epidemiol Infect | 0.648443 |
| Beach MJ | 0.959826 |
| Collier SA | 0.727364 |
| analgesic prescribing patterns | 0.676608 |
| Dr. Michael Beach | 0.717681 |
| Van Zile KW | 0.680262 |
| da Silva AJ | 0.744852 |
| primary amoebic meningoencephalitis | 0.688593 |
| waterborne illnesses | 0.644554 |
| Beach MJ. | 0.664935 |
| epidemiological review | 0.643145 |
| Fatal Naegleria fowleri | 0.68133 |
| chlorine dioxide tablets | 0.67633 |
| Clin Infect Dis. | 0.752546 |
| deadly thermophilic organism | 0.667445 |
| Environ Health. | 0.666185 |
| Visvesvara GS | 0.806514 |
| Hlavsa MC | 0.682044 |
| Wade TJ | 0.678336 |
| Environ Sci Technol. | 0.699936 |
|
| Acanthamoeba keratitis case | 0.678409 |
| tap water | 0.649426 |
| health impacts | 0.643826 |
| primary amebic meningoencephalitis | 0.77357 |
| Sams EA | 0.644752 |
| Hill VR | 0.679683 |
| Cryptosporidium oocysts | 0.646583 |
| disease-fighting arsenal | 0.644439 |
| recreational water quality | 0.681399 |
| Naegleria fowleri | 0.688882 |
| foremost expert | 0.645542 |
| prospective cohort study | 0.676978 |
| Linscott AJ | 0.650691 |
| household water sources | 0.675658 |
| Yoder JS | 0.791127 |
| health burden | 0.645993 |
| Environ Health J. | 0.702835 |
| clean drinking water | 0.694079 |
| Arrowood MJ | 0.738508 |
| Dufour AP | 0.681832 |
| Typhimurium drinking water | 0.686349 |
| acute otitis externa | 0.676264 |
| Trop Med Hyg | 0.671834 |
| Direct healthcare costs | 0.669164 |
|
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Support Services for Survivors of Ebola Virus Disease -Sierra Leone, 2014 |
On December 12, 2014, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| comprehensive survivor packet | 0.486976 |
| nongovernmental organizations | 0.470401 |
| Sierra Leone Ebola | 0.775882 |
| in-depth interviews | 0.478845 |
| community reunification programs | 0.478544 |
| Ebola survivors | 0.640937 |
| health issues | 0.493737 |
| MMWR Early Release | 0.468915 |
| Operations Psychosocial Consortium | 0.594724 |
| 7Sierra Leone Ministry | 0.519036 |
| psychosocial support counselors | 0.543673 |
| consortium assessed survivor | 0.495772 |
| Seung Hee Lee-Kwan | 0.526727 |
| professional psychosocial support | 0.497386 |
| Emergency Operations Center | 0.467218 |
| psychosocial support | 0.553867 |
| roles Ebola survivors | 0.620052 |
| tasks survivors | 0.506469 |
| comprehensive discharge counseling | 0.514313 |
| survivors | 0.64315 |
| counselors accompany survivors | 0.528693 |
| local nongovernmental organization | 0.475428 |
| Ebola patients | 0.570207 |
| Ebola virus disease | 0.589518 |
| physical health issues | 0.477889 |
|
| Sierra Leone | 0.936074 |
| Emergency Operations Psychosocial | 0.596127 |
| CDC Sierra Leone | 0.559346 |
| survivor wellness center | 0.489697 |
| psychosocial issues | 0.481686 |
| Sierra Leone government | 0.569779 |
| Ebola outbreak response | 0.559997 |
| focus groups | 0.480264 |
| survivor reintegration | 0.475622 |
| district nongovernmental organizations | 0.469867 |
| Leone Ebola Emergency | 0.745033 |
| previous Ebola outbreaks | 0.590995 |
| survivor support centers | 0.48933 |
| ongoing psychosocial support | 0.492159 |
| commonly reported sequelae | 0.482684 |
| Kenema District | 0.478489 |
| National Survivor Conference | 0.492338 |
| Ebola response | 0.616572 |
| Ebola care | 0.538705 |
| Ebola treatment units | 0.580351 |
| Sierra Leone Ministry | 0.643865 |
| Leone District Ebola | 0.626062 |
| current West Africa | 0.467417 |
| Ebola Emergency Operations | 0.720333 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Sodium, Saturated Fat, andTrans Fat Content Per 1,000 Kilocalories: Temporal Trends inFast-Food Restaurants, United States, 2000-2013 - CDC |
Intakes of sodium, saturated fat, and trans fat remain high despite recommendations to limit these nutrients for cardiometabolic risk reduction. A major contributor to intake of these nutrients is foods prepared outside the home, particularly from fast-food restaurants. |
| national fast-food chains | 0.430727 |
| sodium intake | 0.306257 |
| data | 0.295723 |
| United States | 0.373785 |
| individual menu items | 0.292735 |
| major contributor | 0.318862 |
| mean sodium intake | 0.298092 |
| companion article | 0.308211 |
| trans fatty acid | 0.271013 |
| ruminant fat | 0.28877 |
| large-sized French fries | 0.420378 |
| New York City | 0.271502 |
| Saturated fat content | 0.395357 |
| fast-food chain restaurants | 0.34326 |
| nutrient content | 0.271583 |
| sodium reduction | 0.276178 |
| simple linear regression | 0.369974 |
| trans fat ban | 0.336168 |
| US-based fast-food chain | 0.292149 |
| Nutrition Research Center | 0.271283 |
| temporal trends | 0.285963 |
| public health | 0.304596 |
| chain comparison | 0.278281 |
| sodium content | 0.537188 |
|
| 14-year period | 0.434567 |
| menu items | 0.487844 |
| fast-food restaurants | 0.375457 |
| tabular version | 0.274137 |
| leaner ground beef | 0.272901 |
| Heart Association sodium | 0.283206 |
| grilled chicken sandwich | 0.623592 |
| portion size | 0.377004 |
| product formulation | 0.311736 |
| American Heart Association | 0.280648 |
| chain’s fries | 0.270432 |
| French fries | 0.707859 |
| USDA Human Nutrition | 0.270486 |
| popular menu items | 0.418294 |
| Human Nutrition Research | 0.271286 |
| large French fries | 0.527698 |
| cheeseburgers | 0.321368 |
| et al | 0.30178 |
| trans fat content | 0.950114 |
| linear regression models | 0.367352 |
| trans double bond | 0.275201 |
| Urine sodium excretion | 0.286925 |
| 2010 Dietary Guidelines | 0.289326 |
|
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| 13298 |
Centers for Disease Control and Prevention |
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Acute Rheumatic Fever and Rheumatic Heart Disease AmongChildren - American Samoa, 2011-2012 |
Amanda Beaudoin, DVM, PhD1; Laura Edison, DVM1; Camille E. Introcaso, MD2; Lucy Goh, MD3; James Marrone, MD4; Amelita Mejia, MD4; Chris Van Beneden, MD5 (Author affiliations at end of text). |
| acute rheumatic fever | 0.908928 |
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| 13745 |
Centers for Disease Control and Prevention |
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Food Insecurity, Hunger, and Obesity Among Informal Caregivers |
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. |
| health status categories | 0.446922 |
| mental health | 0.471441 |
| health problem | 0.468611 |
| caregiver households | 0.444738 |
| Risk Factor Surveillance | 0.461275 |
| family member | 0.450495 |
| C. Food insecurity | 0.513957 |
| M. Food insecurity | 0.513484 |
| food insecurity | 0.960901 |
| obesity | 0.477099 |
| family members | 0.446199 |
| low food security | 0.451104 |
| Economic Research Service | 0.445519 |
| food insecure households | 0.478339 |
| informal caregiving | 0.464591 |
| mental health effects | 0.466288 |
| household-level food insecurity | 0.523961 |
| self-reported health status | 0.464035 |
| hunger | 0.534866 |
| food security data | 0.479914 |
| household food insecurity | 0.794462 |
| noncaregivers | 0.460754 |
| Behavioral Risk Factor | 0.461318 |
| unpaid caregivers | 0.457958 |
| personal hunger | 0.458074 |
|
| income | 0.459793 |
| family caregivers | 0.491966 |
| United States | 0.489906 |
| family caregiving | 0.447888 |
| independent variables | 0.44518 |
| Economic Research report | 0.451871 |
| Caregiving Module | 0.503065 |
| respondent hunger | 0.445223 |
| caregivers | 0.645672 |
| Research report number | 0.452425 |
| care recipient characteristics | 0.461344 |
| dependent variables | 0.462398 |
| personally experiencing hunger | 0.449374 |
| care recipients | 0.456419 |
| public health | 0.445027 |
| family income | 0.453012 |
| individual hunger | 0.457377 |
| health | 0.532512 |
| annual household income | 0.447929 |
| food security | 0.496326 |
| United States Department | 0.445742 |
| Household food security | 0.458133 |
| food insecurity questions | 0.528817 |
| mental health conditions | 0.444346 |
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Centers for Disease Control and Prevention |
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National Influenza Vaccination Week: Free NIVW Web Tools |
NIVW web tools offers NIVW buttons, badges and banners free for download - CDC |
|
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CLICK HERE |