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Centers for Disease Control and Prevention |
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CDC - 2009 H1N1 Flu: International Situation Update |
Content on this page was developed during the 2009-2010 H1N1 pandemic and has not been updated. |
| influenza | 0.922677 |
| South Africa | 0.329953 |
| fatal cases | 0.275661 |
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| international flu situation | 0.433682 |
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| low worldwide | 0.285906 |
| situational updates | 0.277453 |
| CDC H1N1 Flu | 0.417091 |
| Southern Hemisphere | 0.475305 |
| influenza season | 0.431059 |
| World Health Organization | 0.449583 |
| influenza vaccines | 0.43013 |
| H1N1 influenza | 0.449689 |
| low level co-circulation | 0.449226 |
| H1N1 flu virus | 0.430876 |
| actual numbers | 0.276013 |
| virus infection | 0.330254 |
| H1N1 viruses | 0.321912 |
| 2009 Pandemic | 0.297559 |
| Risk Assessment Influenza | 0.473653 |
| Southeast Asia countries | 0.323159 |
| Low level circulation | 0.33018 |
| Web page | 0.278687 |
| frequently reported influenza | 0.659708 |
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| novel H1N1 flu | 0.465458 |
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Settings Where High-Risk Persons and Their Contacts May Be Targeted For Vaccination |
Settings where high-risk persons and their contacts may be targeted for vaccination - CDC |
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| variety | 0.341417 |
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| health-care settings | 0.963346 |
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| pharmacies | 0.355811 |
| health-care workers | 0.619901 |
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| Program | 0.335555 |
| complications | 0.350153 |
| 2009-2010 H1N1 Vaccination | 0.766741 |
| older highlights | 0.552975 |
| expansion | 0.352258 |
| direct vaccine | 0.579557 |
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| local level | 0.507434 |
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2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
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Phosphine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
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People live longer if they practice one or more healthy lifestyle behaviors - Press Release: August 18, 2011 |
CDC report finds people live longer if they practice one or more healthy lifestyle behaviors |
| healthy diet | 0.674142 |
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| Disease Control | 0.406222 |
| healthy lifestyles | 0.48408 |
| Mortality Study | 0.492231 |
| Nutrition Examination Survey | 0.638673 |
| U. S. population | 0.460239 |
| researchers | 0.334649 |
| study period | 0.406879 |
| American Journal | 0.396923 |
| greater adoption | 0.386866 |
| significant progress | 0.382539 |
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| regular physical activity | 0.657408 |
| intensity physical activity | 0.470459 |
| HUMAN SERVICES | 0.389713 |
| healthy lifestyle behaviors | 0.843476 |
| moderate intensity | 0.406644 |
| Centers | 0.319105 |
| healthy behaviors | 0.986508 |
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| moderate drinkers | 0.403036 |
| survey participants | 0.390812 |
| alcohol consumption | 0.49985 |
| regular exercise | 0.404846 |
| percent | 0.492392 |
| low-risk health behaviors | 0.595255 |
| excessive alcohol | 0.403552 |
| U.S. DEPARTMENT | 0.389816 |
| smoking | 0.361294 |
| causes | 0.336885 |
| public health communities | 0.45811 |
| public health | 0.471118 |
| All-Cause Mortality | 0.422739 |
| Mexican-Americans | 0.32115 |
| CDC’s efforts | 0.399459 |
| cardiovascular disease | 0.394639 |
| R. Frieden | 0.405919 |
| people | 0.458448 |
| substantial gain | 0.385484 |
| mortality follow-up | 0.412941 |
| NHANES | 0.330523 |
| Survey III Mortality | 0.412449 |
| 2010 Dietary Guidelines | 0.4699 |
| large percentage | 0.397348 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0340 |
The objective of this study was to investigate changes since 2000 in the percentage of adults who reported receiving smoking cessation advice from their HCP and to examine correlates of receiving advice. |
| tobacco use cessation | 0.472545 |
| data | 0.467939 |
| Cancer Control Supplement | 0.616227 |
| relevant financial relationships | 0.556604 |
| AMA PRA credit | 0.458953 |
| AMA PRA | 0.520339 |
| Erica Frank | 0.480265 |
| smoking cessation rates | 0.533059 |
| NHIS survey response | 0.465317 |
| National Health Interview | 0.824118 |
| Preventing Chronic Disease | 0.458221 |
| current smokers | 0.510221 |
| health insurance type | 0.470827 |
| Disease Control | 0.564512 |
| smoking cigarettes | 0.477459 |
| CME activities | 0.457516 |
| Dr. Kruger | 0.465719 |
| smoking status | 0.479481 |
| CME activity | 0.491661 |
| health care providers | 0.506155 |
| Morb Mortal Wkly | 0.484435 |
| higher cessation rates | 0.488597 |
| Health Interview Survey | 0.816972 |
| British Columbia | 0.498731 |
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| Jennifer Kahende | 0.477814 |
| cessation attempt rates | 0.490776 |
| Judy Kruger | 0.479371 |
| CME credit | 0.471463 |
| HCP advice | 0.5009 |
| HCP cessation advice | 0.552021 |
| physician-provided smoking cessation | 0.531964 |
| smoking cessation advice | 0.951871 |
| Public Health | 0.533783 |
| AMA PRA Category | 0.506597 |
| United States | 0.519618 |
| Journal-based CME activity | 0.481629 |
| MMWR Morb Mortal | 0.484439 |
| cigarette smoking | 0.498845 |
| community health promotion | 0.463515 |
| Mortal Wkly Rep | 0.481859 |
| journal CME activity | 0.481425 |
| Public Health Analyst | 0.493678 |
| care provider advice | 0.480485 |
| Continuing Medical Education | 0.468953 |
| physician advice | 0.495213 |
| annual National Health | 0.476075 |
| Lauren Shaw | 0.477161 |
| Public Health Service | 0.508779 |
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Food Safety - CDC Works For You 24/7 |
CDC and Food Safety |
| foodborne diseases | 0.926579 |
| Salmonella | 0.391172 |
| new technology | 0.369827 |
| fewer problems | 0.364627 |
| raw cookie dough | 0.411112 |
| beef processing plants | 0.413813 |
| U.S. Department | 0.364116 |
| unique DNA | 0.36438 |
| Safety Modernization Act | 0.529953 |
| Disease Control | 0.377109 |
| FoodNet | 0.366884 |
| nationwide network | 0.367336 |
| food manufacturers | 0.384759 |
| U.S. Food | 0.384551 |
| foodborne sickness | 0.531481 |
| CDC information | 0.420981 |
| contaminated foods | 0.386438 |
| food contamination | 0.381998 |
| food-related germs | 0.378534 |
| Foodborne Diseases Active | 0.635382 |
| Vibrio infections | 0.419036 |
| report card | 0.418335 |
| yield other information | 0.366174 |
| Health departments | 0.363321 |
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| public health laboratories | 0.408118 |
| advanced molecular detection | 0.41004 |
| world-class expertise | 0.372636 |
| fingerprint Salmonella | 0.386192 |
| laboratory scientists | 0.370296 |
| Drug Administration | 0.365313 |
| ground beef | 0.41146 |
| Food workers | 0.38275 |
| new steps | 0.371675 |
| particular food | 0.390471 |
| Cleaner slaughter methods | 0.413483 |
| Food Code | 0.382943 |
| new food safety | 0.438361 |
| federal partners | 0.366246 |
| food production | 0.380003 |
| landmark laws | 0.365255 |
| new foodborne disease | 0.565111 |
| CDC disease detectives | 0.53324 |
| egg safety | 0.36868 |
| people | 0.411613 |
| Food Safety Modernization | 0.53502 |
| food safety | 0.62191 |
| Diseases Active Surveillance | 0.529532 |
| Active Surveillance Network | 0.52479 |
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Preventing Chronic Disease | Temporal Trends in Fast-FoodRestaurant Energy, Sodium, Saturated Fat, and Trans Fat Content,United States, 1996-2013 - CDC |
Excess intakes of energy, sodium, saturated fat, and trans fat are associated with increased risk for cardiometabolic syndrome. Trends in fast-food restaurant portion sizes can inform policy decisions. We examined the variability of popular food items in 3 fast-food restaurants in the United States by portion size during the past 18 years. |
| national fast-food chains | 0.754148 |
| trans fat amounts | 0.406603 |
| Trans fat data | 0.417742 |
| New York City | 0.372618 |
| Saturated fat content | 0.491865 |
| fast-food chain restaurants | 0.584121 |
| fast-food items | 0.417458 |
| frequently ordered items | 0.428079 |
| final energy content | 0.397498 |
| fast-food restaurant items | 0.402001 |
| similar menu items | 0.340209 |
| energy content | 0.720909 |
| total energy content | 0.363173 |
| chain comparison | 0.344927 |
| portion sizes | 0.43769 |
| fast-food restaurant | 0.440741 |
| sodium content | 0.758136 |
| fast-food chain restaurant | 0.39168 |
| popular food items | 0.350714 |
| large-sized bundled meal | 0.418609 |
| popular menu items | 0.535589 |
| large French fries | 0.537822 |
| fast-food menu items | 0.442275 |
| trans fat content | 0.810565 |
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| linear regression models | 0.338007 |
| regular cola | 0.439083 |
| individual menu items | 0.432568 |
| fast food | 0.403526 |
| fast-food restaurant portion | 0.400869 |
| tabular version | 0.361931 |
| simple linear models | 0.43075 |
| trans fat ban | 0.375857 |
| fast-food restaurant orders | 0.363147 |
| frequently ordered fast-food | 0.362556 |
| high resolution image | 0.491488 |
| Chain C. | 0.343462 |
| small French fries | 0.459139 |
| menu items | 0.746381 |
| fast-food restaurants | 0.420215 |
| food items | 0.372247 |
| Average sodium content | 0.383346 |
| portion size | 0.439716 |
| grilled chicken sandwich | 0.434275 |
| trans fat intake | 0.392255 |
| French fries | 0.998691 |
| trans fat intakes | 0.480755 |
| et al | 0.368387 |
| energy upper limit | 0.441591 |
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Measles |Parent and Childcare Provider Educational Resources| CDC |
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| CDC | 0.416488 |
| vaccines | 0.419802 |
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| babies | 0.469649 |
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| U.S. | 0.414587 |
| children | 0.475549 |
| special vaccine recommendations | 0.595492 |
| Immunization Schedule | 0.487953 |
| measles vaccine | 0.882867 |
| common questions | 0.490106 |
| recommended immunizations | 0.488037 |
| power | 0.414214 |
| Little Rash | 0.496887 |
| case | 0.413244 |
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| routine measles vaccine | 0.865305 |
| measles spreads | 0.81018 |
| birth | 0.426667 |
| staff | 0.413357 |
| Web page answers | 0.565801 |
| people | 0.42703 |
| steps | 0.413119 |
| YouTube | 0.417504 |
| depicts measles symptoms | 0.843164 |
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| help | 0.415975 |
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| child care center | 0.549312 |
| Web page | 0.663195 |
| FAQ | 0.415351 |
| vaccine-preventable diseases | 0.493062 |
| Infographic highlights | 0.483877 |
| U.S | 0.415321 |
| measles | 0.990654 |
| facility | 0.413216 |
| MMR vaccine | 0.53601 |
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Association of Chronic Obstructive Pulmonary Disease With Increased Confusion or Memory Loss and Functional Limitations Among Adults |
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. |
| COPD question | 0.382359 |
| high school | 0.281357 |
| ICML module | 0.334826 |
| prevalence ratio | 0.282218 |
| mental health | 0.283238 |
| general limitations | 0.32124 |
| adults | 0.310644 |
| functional difficulties | 0.269296 |
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| Risk Factor Surveillance | 0.332474 |
| ICML status | 0.368107 |
| functional limitations | 0.446897 |
| cognitive decline | 0.326205 |
| psychological distress | 0.396348 |
| chronic disease risk | 0.290695 |
| large sample | 0.268133 |
| Disease Control | 0.276599 |
| subjective cognitive impairment | 0.275966 |
| severe COPD | 0.38544 |
| heart disease | 0.280413 |
| memory problems | 0.28102 |
| ICML | 0.674776 |
| health behaviors | 0.280272 |
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| health care | 0.275418 |
| inverse association | 0.277437 |
| ICML-associated difficulties | 0.270443 |
| disease risk factors | 0.285039 |
| social activities | 0.322316 |
| health | 0.372319 |
| frequent mental distress | 0.76421 |
| people | 0.41642 |
| chronic conditions | 0.290839 |
| previous year ICML | 0.342724 |
| overall cognitive impairment | 0.285039 |
| Chronic Disease Prevention | 0.272453 |
| Cognitive health issues | 0.285316 |
| mental distress captures | 0.27423 |
| physician-diagnosed COPD | 0.412168 |
| health condition | 0.28069 |
| high blood pressure | 0.276897 |
| memory loss | 0.482511 |
| cognitive impairment | 0.622806 |
| mild cognitive impairment | 0.313611 |
| Behavioral Risk Factor | 0.331039 |
| COPD status | 0.689357 |
| obstructive pulmonary disease | 0.367347 |
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