| 969 |
Centers for Disease Control and Prevention |
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en |
Prevalence of Influenza-Like Illness and Seasonal andPandemic H1N1 Influenza Vaccination Coverage Among Workers - UnitedStates, 2009-10 Influenza Season |
Sara E. Luckhaupt, MD1, Geoffrey M. Calvert, MD1, Jia Li, MS1, Marie Sweeney, PhD1, Tammy A. |
| influenza vaccination coverage | 0.826807 |
| pH1N1 influenza vaccine | 0.522467 |
| ILI | 0.592492 |
| novel influenza | 0.480178 |
| comprehensive influenza prevention | 0.472145 |
| highest prevalence | 0.441804 |
| influenza vaccination programs | 0.586747 |
| influenza-like illness | 0.440068 |
| industry groups | 0.416081 |
| pH1N1 influenza vaccination | 0.742176 |
| seasonal influenza vaccination | 0.555707 |
| highest pH1N1 vaccination | 0.454197 |
| vaccination coverage | 0.955325 |
| prevalence | 0.524357 |
| occupation groups | 0.48491 |
| pandemic H1N1 influenza | 0.485615 |
| relatively low prevalence | 0.421578 |
| vaccination status | 0.531495 |
| ILI prevalence | 0.506541 |
| social services | 0.451643 |
| workplace influenza vaccination | 0.529266 |
| significantly higher APRs | 0.418775 |
| seasonal influenza vaccine | 0.556226 |
| similar pH1N1 vaccination | 0.451292 |
|
| workers | 0.468421 |
| Food preparation | 0.444925 |
| sickle cell anemia | 0.474147 |
| relatively low vaccination | 0.446794 |
| influenza vaccine | 0.585161 |
| influenza season | 0.557209 |
| ILI symptoms | 0.424137 |
| personal protective equipment | 0.489896 |
| seasonal influenza | 0.61592 |
| influenza pandemic | 0.543131 |
| chronic medical conditions | 0.467321 |
| pandemic influenza virus | 0.520982 |
| groups | 0.525348 |
| relatively high prevalence | 0.524283 |
| vaccination coverage data | 0.471011 |
| influenza vaccination | 0.853136 |
| chronic illness | 0.455466 |
| food services | 0.437625 |
| pandemic influenza infection | 0.527803 |
| high prevalence rates | 0.516832 |
| risk | 0.417882 |
| pH1N1 vaccination coverage | 0.675528 |
| unemployed adults | 0.505484 |
|
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| 6690 |
Centers for Disease Control and Prevention |
Html |
en |
Community-Based Opioid Overdose Prevention Programs Providing Naloxone - 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. |
| higher overdose risk | 0.299614 |
| opioid drug overdose | 0.463048 |
| high drug overdose | 0.302579 |
| untreated opioid overdoses | 0.243015 |
| drug overdose | 0.836519 |
| drug overdose reversals | 0.317747 |
| opioid-related drug overdose | 0.311802 |
| overdose prevention activities | 0.308078 |
| prescription opioid analgesics | 0.313197 |
| opioid overdose education | 0.423906 |
| Naloxone Overdose Prevention | 0.346473 |
| overdose risk | 0.320878 |
| age-adjusted drug overdose | 0.317171 |
| overdose prevention training | 0.32075 |
| opioid prescribing guidelines | 0.246575 |
| opioid antagonist naloxone | 0.313117 |
| local opioid overdose | 0.500531 |
| community-based opioid overdose | 0.514457 |
| substance abuse treatment | 0.2334 |
| overdose risk factors | 0.312725 |
| naloxone distribution | 0.303828 |
| noninjection opioid users | 0.253618 |
| opioid overdose prevention | 0.992111 |
| overdose prevention services | 0.394003 |
| opioid overdose reversals | 0.38679 |
|
| United States | 0.254981 |
| overdose reversals | 0.54568 |
| overdose prevention programs | 0.479367 |
| overdose death rates | 0.611837 |
| local overdose prevention | 0.300665 |
| opioid overdoses | 0.251765 |
| high overdose mortality | 0.299348 |
| overdose prevention program | 0.490321 |
| drug overdose deaths | 0.684491 |
| overdose prevention interventions | 0.31792 |
| Harm Reduction Coalition | 0.245327 |
| drug overdose death | 0.646641 |
| opioid analgesic prescriptions | 0.24508 |
| unreported overdose reversals | 0.312431 |
| potential overdose witnesses | 0.283004 |
| unintentional drug overdose | 0.386474 |
| overdose rescue kit | 0.288925 |
| highest drug overdose | 0.314459 |
| prescription opioid medications | 0.236009 |
| naloxone | 0.451716 |
| drug overdose prevention | 0.370348 |
| abuse treatment programs | 0.22229 |
| opioid overdose programs | 0.431742 |
| opioid overdose mortality | 0.42065 |
|
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| 6930 |
Centers for Disease Control and Prevention |
Html |
en |
CDC in Georgia - CDC Global Health |
CDC has a strong relationship with the country of Georgia. Partnering with Georgia’s National Center for Disease Control and Public Health (NCDC) and other ministries, CDC helps develop institutional capacity to detect and respond to disease outbreaks. |
| country | 0.542263 |
| CDC | 0.880366 |
| endorsement | 0.557425 |
| Hospital-acquired infections | 0.769047 |
| E.coli | 0.564952 |
| extremely dangerous pathogens | 0.965239 |
| health risk areas | 0.956719 |
| issues | 0.537059 |
| Armenia | 0.546922 |
| Georgia’s National | 0.76984 |
| harmful type | 0.73452 |
| Disease Control | 0.758516 |
| chilling phrases | 0.743593 |
| Notice | 0.538676 |
| epidemiologic capacity | 0.7875 |
| laboratory training | 0.730325 |
| Download Overview Fact | 0.935791 |
| HAIs | 0.573708 |
| development | 0.538742 |
| enteric diseases | 0.76685 |
| AMR | 0.557644 |
| ongoing technical assistance | 0.943413 |
| reproductive health | 0.753028 |
| botulism | 0.56258 |
|
| outbreaks | 0.630802 |
| Health Security Agenda | 0.909213 |
| animal health sectors | 0.941175 |
| bacterium | 0.549896 |
| Public Health | 0.775504 |
| ministries | 0.541548 |
| NCDC | 0.670956 |
| Content source | 0.727248 |
| everyday language | 0.718148 |
| epidemiology | 0.543397 |
| HHS | 0.562342 |
| variety | 0.538556 |
| SC/FELTP | 0.537225 |
| SC-FELTP outbreak investigations | 0.963342 |
| human | 0.537485 |
| Center | 0.541785 |
| specialists | 0.537522 |
| strong relationship | 0.760155 |
| Azerbaijan | 0.55097 |
| non-federal site | 0.748947 |
| institutional capacity | 0.774741 |
| important element | 0.712449 |
| Antimicrobial resistance | 0.747214 |
| Sheet | 0.537853 |
|
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| 7635 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Kenya - Improving Emergency Preparedness & Response |
Improving Emergency Preparedness & Response
CDC-Kenya strengthens public health capacity to rapidly identify and contain infectious disease threats as well as respond to natural and man-made disasters.
|
| international concern | 0.638805 |
| communication systems | 0.64474 |
| international spread | 0.646049 |
| ) Unit. | 0.646981 |
| Laboratory Training Program | 0.719253 |
| large-scale trauma | 0.632817 |
| control strategies | 0.633915 |
| comprehensive outbreak surveillance | 0.779066 |
| global regulations | 0.629008 |
| African Union Mission | 0.716087 |
| dangerous outbreaks | 0.678091 |
| increasingly globalized world | 0.753604 |
| humanitarian disasters | 0.634614 |
| World Health Organization | 0.778024 |
| CDC-Kenya | 0.665648 |
| public health emergencies | 0.815567 |
| Kenya Medical Research | 0.737357 |
| open reporting | 0.626823 |
| public health risks | 0.775281 |
| measure severe outcomes | 0.699534 |
| acute febrile illness | 0.710788 |
| public health response | 0.804047 |
| response efforts | 0.628942 |
| diagnostic support | 0.707882 |
| International Health Regulations | 0.786548 |
|
| outbreaks | 0.680682 |
| Health approach | 0.64611 |
| world more secure | 0.630027 |
| East Africa region | 0.726017 |
| U.S. government partners | 0.721517 |
| emergency medical services | 0.760823 |
| outbreak responses | 0.664199 |
| international borders | 0.63768 |
| non-governmental organizations | 0.639035 |
| public health threats | 0.786816 |
| technical assistance | 0.736533 |
| Rift Valley Fever | 0.704989 |
| public health | 0.928956 |
| disease threats | 0.639716 |
| integrated Zoonotic Disease | 0.748513 |
| future outbreaks | 0.664702 |
| Effective response | 0.660202 |
| international travel | 0.6435 |
| outbreak control plans | 0.794022 |
| emergency medical response | 0.778627 |
| environmental health experts | 0.741814 |
| zoonotic diseases | 0.72721 |
| refugee camps | 0.746333 |
| improved risk communication | 0.759144 |
|
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| 9375 |
Centers for Disease Control and Prevention |
Html |
es |
Intervención de mapeo como guía para el desarrollo de un programa contra la diabetes de apoyo entre compañeros en la zona rural de Alabama |
CDC - Wide Page example description goes here |
| Halanych JH | 0.455825 |
| Hayes M | 0.411781 |
| rural alabama | 0.458526 |
| Wright MA | 0.424646 |
| Appel SJ | 0.476276 |
| Martin MY | 0.430916 |
| Cherrington A | 0.422779 |
|
| salud pública | 0.754982 |
| estrategia promisoria | 0.408684 |
| Chronic Dis | 0.45994 |
| support intervention | 0.574749 |
| asesores pares | 0.966311 |
| Cordón negro | 0.909181 |
|
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| 9842 |
Centers for Disease Control and Prevention |
Html |
null |
Tratamiento - Medicamentos antivirales |
Acerca de los medicamentos antivirales para el público en general - CDC |
|
|
CLICK HERE |
| 10951 |
Centers for Disease Control and Prevention |
Html |
en |
Ovarian Cancer Prevention |
There is no known way to prevent ovarian cancer. But there are few things that may lower a woman's chance of getting ovarian cancer. |
| cervix | 0.292945 |
| risk factors | 0.448414 |
| everybody | 0.273135 |
| ovaries | 0.259616 |
| ovarian cancer | 0.966389 |
| hysterectomy | 0.282126 |
| modestly reduced risk | 0.744152 |
| Breastfeeding. | 0.256919 |
| ovarian cancer— | 0.671032 |
| Talk | 0.255164 |
| birth control pills | 0.775032 |
|
| known way | 0.540616 |
| tubal ligation | 0.56538 |
| lower chance | 0.572975 |
| doctor | 0.25504 |
| uterus | 0.293913 |
| risks | 0.262465 |
| tubes | 0.265817 |
| things | 0.32393 |
| studies | 0.256839 |
| operation | 0.259286 |
|
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| 10963 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Defining Powerhouse Fruits and Vegetables: A Nutrient Density Approach - CDC |
National nutrition guidelines emphasize consumption of powerhouse fruits and vegetables (PFV), foods most strongly associated with reduced chronic disease risk; yet efforts to define PFV are lacking. This study developed and validated a classification scheme defining PFV as foods providing, on average, 10% or more daily value per 100 kcal of 17 qualifying nutrients. Of 47 foods studied, 41 satisfied the powerhouse criterion and were more nutrient-dense than were non-PFV, providing preliminary evidence of the validity of the classification scheme. The proposed classification scheme is offered as a tool for nutrition education and dietary guidance. |
| powerhouse group | 0.557659 |
| classification scheme | 0.93064 |
| food guide pyramid | 0.353391 |
| energy density | 0.316666 |
| Agricultural Research Service | 0.45585 |
| powerhouse criterion | 0.409219 |
| foods | 0.481509 |
| food phytochemicals | 0.326259 |
| Guidelines Advisory Committee | 0.433275 |
| green leafy | 0.458925 |
| World Cancer Research | 0.338737 |
| nutrient density differences | 0.566394 |
| nutrient requirements | 0.402561 |
| cruciferous items | 0.395802 |
| nutrient density | 0.931876 |
| National nutrition guidelines | 0.380042 |
| score/energy density | 0.313882 |
| nutrient desirability | 0.409028 |
| nutrient adequacy score/energy | 0.497379 |
| percent daily values | 0.468988 |
| good sources | 0.341103 |
| nutrients | 0.696695 |
| chronic disease risk | 0.625274 |
| powerhouse message | 0.321561 |
|
| nutrient density scores | 0.766605 |
| powerhouse fruits | 0.394343 |
| nutrient content | 0.426371 |
| percent DVs | 0.373948 |
| heart disease | 0.338784 |
| nutrient adequacy score | 0.595397 |
| PFV | 0.55298 |
| beneficial nutrients PFV | 0.506278 |
| William Paterson University | 0.331223 |
| particular nutrient | 0.422201 |
| nutrient-dense items | 0.37291 |
| National Academies Press | 0.333183 |
| public health importance | 0.350795 |
| national nutrient database | 0.453347 |
| daily energy needs | 0.34222 |
| nutrient quality | 0.406228 |
| food | 0.457573 |
| Dietary Guidelines | 0.372266 |
| nutrient density score | 0.608729 |
| cruciferous food groups | 0.392848 |
| kcal/d diet | 0.354261 |
| Dietary Guidelines Advisory | 0.341581 |
| nutrient-dense foods | 0.340851 |
|
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| 11941 |
Centers for Disease Control and Prevention |
Html |
en |
Considerations for Discharging Persons Under Investigation (PUI) for Ebola Virus Disease (Ebola) |
null |
| concur | 0.350384 |
| Ebola virus infection | 0.707898 |
| fever | 0.340672 |
| example | 0.336112 |
| Ebola virus | 0.805055 |
| 21-day period | 0.495838 |
| antipyretics | 0.368098 |
| state health departments | 0.627222 |
| clinical laboratory results | 0.646274 |
| place | 0.333019 |
| vomiting | 0.349676 |
| illness | 0.340424 |
| RT-PCR test result | 0.650826 |
|
| PUI | 0.925111 |
| alternative diagnosis | 0.48904 |
| onset | 0.344963 |
| Ebola virus exposures | 0.709764 |
| medical care | 0.476669 |
| diarrhea | 0.349156 |
| blood | 0.332166 |
| symptoms | 0.419414 |
| EVD | 0.441549 |
| clinical judgment | 0.519993 |
| medical team | 0.509063 |
| active monitoring | 0.614075 |
| alternative explanation | 0.493886 |
|
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| 16048 |
Centers for Disease Control and Prevention |
Html |
en |
GIS Exchange|Map Details - Diabetes Hospitalizations and Access to Health Care Services |
GIS Exchange |
| additional challenge | 0.284948 |
| Diabetes hospital morbidity | 0.396464 |
| Public Health District | 0.424094 |
| Waycross Public Health | 0.443511 |
| Arc Map | 0.20656 |
| GIS Exchange http://www.cdc.gov/dhdsp/maps/gisx/mapgallery/GA_Waycross.html | 0.259107 |
| diabetes resources | 0.418764 |
| Services Administration | 0.204878 |
| diabetes patients | 0.420739 |
| Health Resources | 0.230103 |
| Diabetes Educators | 0.31446 |
| census tract level | 0.298472 |
| health care resources | 0.441349 |
|
| poverty level | 0.396781 |
| health care services | 0.941623 |
| type ii diabetes | 0.500445 |
| general areas | 0.298579 |
| Georgia Hospital Discharge | 0.280252 |
| additional resources | 0.285623 |
| Diabetes Self-Management Education | 0.401392 |
| Health Care Centers | 0.313852 |
| Map Gallery | 0.221913 |
| Poverty Level Hospitalized | 0.299524 |
| census tract | 0.393165 |
| American Diabetes Association | 0.392092 |
| Georgia Department | 0.266124 |
|
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