| 4896 |
Centers for Disease Control and Prevention |
Html |
en |
2010 Haiti Cholera Outbreak: CDC Responds to Cholera Outbreak in Haiti |
CDC - Global Health |
| 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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| 6216 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| low-risk behaviors | 0.507342 |
| CDC’s National | 0.406307 |
| healthy behaviors– | 0.504772 |
| small percentage | 0.396354 |
| CDC study | 0.408224 |
| moderate alcohol consumption | 0.482857 |
| 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 |
| National Health | 0.479928 |
| 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 |
|
| 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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| 6716 |
Centers for Disease Control and Prevention |
Html |
en |
New influenza virus discovered in Guatemalan fruit bats - Press Release-New influenza virus discovered in Guatemalan fruit bats February 27, 2012 |
New influenza virus discovered in Guatemalan fruit bats |
| human influenza viruses | 0.734847 |
| CDC’s Influenza | 0.401677 |
| humans. Previous pandemics | 0.234354 |
| emergency response activities | 0.226552 |
| influenza A virus | 0.437176 |
| single host cell | 0.238152 |
| little yellow–shouldered bats | 0.241253 |
| bat influenza virus | 0.57968 |
| Dr. Suxiang Tong | 0.245821 |
| new bat influenza | 0.424977 |
| global disease detection | 0.229451 |
| Pathogen Discovery Program | 0.244842 |
| CDC’s Division | 0.233727 |
|
| Influenza related information | 0.395342 |
| new virus | 0.26677 |
| Dr. Ruben Donis | 0.234346 |
| global disease experts | 0.232082 |
| influenza viruses | 0.929865 |
| new influenza viruses | 0.500364 |
| Preliminary CDC research | 0.287368 |
| Bat influenza viruses | 0.48246 |
| United States. CDC | 0.279782 |
| new animal species | 0.25152 |
| health protection agency | 0.230627 |
| human health issue | 0.256987 |
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| 7243 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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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| 9495 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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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| 9497 |
Centers for Disease Control and Prevention |
Html |
en |
Listeriosis - Prevention |
null |
| raw sprouts | 0.575033 |
| foods | 0.545216 |
| harmful germ | 0.498491 |
| mung bean sprouts | 0.597195 |
| soft cheese | 0.542225 |
| hot dog | 0.475443 |
| pregnant women | 0.962454 |
| ice cream | 0.562237 |
| Avoid Listeria English | 0.61472 |
| Listeria outbreaks | 0.57274 |
| harmful bacteria | 0.611466 |
| hot dogs | 0.617675 |
| Asian food | 0.476607 |
| raw milk | 0.714788 |
| queso fresco | 0.636258 |
| Listeria infections | 0.638599 |
| recent outbreaks | 0.49243 |
| soft cheeses | 0.563412 |
| shelf-stable tuna | 0.493725 |
| queso blanco | 0.511211 |
| Listeria infection | 0.556781 |
| Queso Fresco English | 0.578309 |
| deli meats | 0.632459 |
| room temperature | 0.545044 |
|
| lunch meat packages | 0.535825 |
| refrigerated pâté | 0.48513 |
| lunch meats | 0.537118 |
| shelf-stable pâté | 0.494462 |
| immunity | 0.548935 |
| lightly cooked sprouts | 0.60123 |
| products | 0.486798 |
| Recommendations | 0.579653 |
| milk kills | 0.537501 |
| meat spreads | 0.527516 |
| Listeria | 0.726096 |
| deli counters | 0.479661 |
| E. coli | 0.480311 |
| Hispanic-style cheeses | 0.483642 |
| higher risk | 0.820367 |
| humid conditions | 0.482739 |
| Thorough cooking | 0.475926 |
| Rinsing sprouts | 0.531729 |
| unpasteurized milk | 0.606569 |
| Home-grown sprouts | 0.537101 |
| people | 0.656352 |
| unsanitary conditions | 0.484021 |
| older adults | 0.822803 |
| refrigerated smoked seafood | 0.665282 |
|
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| 9903 |
Centers for Disease Control and Prevention |
Html |
en |
Stopping a Salmonella Outbreak among Infants in a Nursery |
null |
| disease detectives | 0.411046 |
| illnesses | 0.236103 |
| field gel electrophoresis | 0.61399 |
| mom | 0.24444 |
| FoodCORE investigator | 0.45813 |
| state partners | 0.400138 |
| recommendations | 0.264325 |
| South Carolina Bureau | 0.601536 |
| Salmonella infection | 0.841508 |
| combined approach | 0.406982 |
| little girl | 0.421021 |
| review | 0.235438 |
| laboratory results | 0.425582 |
| DNA fingerprinting | 0.422183 |
| stools | 0.251615 |
| environmental health inspector | 0.599041 |
| carefully washing hands | 0.583267 |
| FoodCORE Team | 0.418037 |
| diaper changes | 0.440973 |
| regional epidemiologist | 0.415648 |
| diarrhea | 0.32567 |
| old girl | 0.447889 |
| original cases | 0.414455 |
| pediatrician | 0.254596 |
| condition | 0.242803 |
|
| nursery | 0.397658 |
| Additional laboratory testing | 0.599615 |
| parents | 0.239865 |
| Salmonella bacteria | 0.559866 |
| South Carolina coast | 0.677746 |
| sick infants | 0.551236 |
| quaint town | 0.475896 |
| South Carolina | 0.919415 |
| identical strain | 0.430735 |
| signs | 0.242733 |
| overall hygiene practices | 0.575614 |
| swift investigative collaboration | 0.570702 |
| Thanks | 0.242014 |
| course | 0.237779 |
| stool sample | 0.456546 |
| old boy | 0.430192 |
| multidisciplinary team | 0.410394 |
| diaper changing | 0.44655 |
| handwashing procedures | 0.412708 |
| blood | 0.242715 |
| doctor | 0.240987 |
| little boy | 0.425371 |
| formula preparation | 0.410931 |
| Salmonella Outbreak | 0.572304 |
|
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| 10140 |
Centers for Disease Control and Prevention |
Html |
en |
Mycoplasma pneumoniae: Surveillance and Reporting |
An estimated 2 million cases of Mycoplasma pneumoniae infection occur each year in the United States. |
| true size | 0.27628 |
| Mycoplasma pneumoniae infections | 0.932727 |
| population-based active surveillance | 0.527358 |
| national reporting | 0.28464 |
| United States | 0.277276 |
| health problem | 0.275484 |
| Hackman BA | 0.297248 |
| publications page | 0.252639 |
| Lieberman D. | 0.26921 |
| community-acquired pneumonia | 0.723182 |
| Community-Based Pneumoniae Incidence | 0.799771 |
| Salstrom SJ | 0.279384 |
|
| File Jr TM | 0.481545 |
| Arch Intern Med. | 0.470939 |
| Marston BJ | 0.316948 |
| Kolczak MS | 0.244209 |
| crowded environments | 0.297128 |
| M. pneumoniae infection | 0.875218 |
| Breiman RF | 0.252285 |
| Lipman HB | 0.319341 |
| Study Group | 0.233162 |
| Plouffe JF | 0.36414 |
| college dormitories | 0.304149 |
|
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| 10858 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Effect of Personal Characteristics on Individual Support for Indoor Smoke-Free Air Laws, Indiana, 2008 - CDC |
Policy makers should understand the attitudes and beliefs of their constituents regarding smoke-free air legislation. The purpose of this study was to evaluate the effect of selected personal characteristics on attitudes and beliefs about secondhand smoke in Indiana and on support for smoke-free air laws. |
| indoor smoke-free air | 0.267125 |
| community smoke-free air | 0.30256 |
| comprehensive smoke-free air | 0.243023 |
| logistic regression analyses | 0.203613 |
| SHS laws | 0.254202 |
| smoke-free workplaces | 0.210193 |
| smoke-free law | 0.206479 |
| public support | 0.200732 |
| smoking | 0.236449 |
| smoke-free air laws | 0.795095 |
| public health | 0.218704 |
| SHS | 0.302068 |
| SHS exposure policies | 0.223917 |
| smoke-free air law | 0.234394 |
| worksite smoke-free air | 0.255463 |
|
| smoke-free air policies | 0.377223 |
| smoke-free bar law | 0.21357 |
| health | 0.262453 |
| clean indoor air | 0.27217 |
| statewide smoke-free air | 0.24874 |
| smoke-free air act | 0.244743 |
| SHS exposure | 0.261562 |
| county smoke-free air | 0.258522 |
| smoke-free air | 0.982273 |
| policy makers | 0.231911 |
| smoke-free air legislation | 0.618092 |
| support | 0.201028 |
| smoke-free air ordinances | 0.245745 |
| health effects | 0.220539 |
|
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| 11468 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Publications and Products - NIOSH List of Antineoplastic and Other Hazardous Drugs in Healthcare Settings, 2014 (2014-138) |
Publication |
| Review Plan | 0.371079 |
| Centers | 0.31381 |
| Federal Register Notice | 0.428342 |
| CDC | 0.314564 |
| review process | 0.373975 |
| drug package inserts | 0.4257 |
| Federal Register | 0.446711 |
| Occupational Safety | 0.460607 |
| new listings | 0.373745 |
| respective institutions | 0.380362 |
| Disease Control | 0.375696 |
| Health Care Settings | 0.454913 |
| new format | 0.374807 |
| America | 0.314736 |
| http://www.cdc.gov/niosh/docket/review/docket233/pdf/CDC-2013-0007.pdf | 0.313967 |
| Future additions | 0.372838 |
| PhRMA | 0.314722 |
| Pharmaceutical Research | 0.380967 |
|
| current update | 0.378484 |
| additional information | 0.421105 |
| National Institute | 0.459884 |
| NIOSH criteria | 0.457504 |
| NIOSH | 0.561356 |
| consequent removal | 0.383759 |
| manufacturers | 0.328948 |
| Antineoplastic | 0.330235 |
| hazardous drugs | 0.926798 |
| Occupational Exposures | 0.39371 |
| Healthcare Settings | 0.371936 |
| list | 0.509869 |
| major hazardous drugs | 0.622169 |
| Appendix | 0.3189 |
| sample list | 0.388529 |
| lists | 0.31484 |
| review cycle | 0.368165 |
|
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