| 4898 |
Centers for Disease Control and Prevention |
Html |
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Overview of a Pandemic - 2009 H1N1 Accomplishments (Part 2 of 3) |
null |
| H1N1 flu vaccine | 0.701393 |
| H1N1 influenza vaccine | 0.698254 |
| vaccine recommendations | 0.632777 |
| VAERS reports | 0.490813 |
| seasonal influenza vaccination | 0.521911 |
| H1N1 virus | 0.489184 |
| vaccination coverage | 0.477036 |
| Medical personnel conduct | 0.495283 |
| school-based vaccination program | 0.526669 |
| safety monitoring systems | 0.507184 |
| vaccination rates | 0.478072 |
| health care providers | 0.508061 |
| Section 508-accessible version | 0.517701 |
| vaccine safety information | 0.65865 |
| CDC Seasonal Flu | 0.561354 |
| H1N1 Flu Survey | 0.548745 |
| Vaccine Adverse Event | 0.655466 |
| regular human flu | 0.541461 |
| public health officials | 0.502868 |
| Web-based active surveillance | 0.494525 |
| initially limited supplies | 0.516945 |
| retail pharmacy stores | 0.5006 |
| significant adverse events | 0.508072 |
| H1N1 influenza vaccination | 0.559759 |
| stand-alone Web document | 0.515984 |
|
| Pregnant women | 0.461864 |
| Behavioral Risk Factor | 0.500972 |
| effective immune response | 0.50183 |
| H1N1 vaccine | 0.972721 |
| United States | 0.612782 |
| vaccine safety data | 0.64561 |
| daycare providers | 0.462836 |
| emergency medical services | 0.509948 |
| Immunization Practices | 0.463277 |
| Advisory Committee | 0.463672 |
| VAERS enhancements | 0.486993 |
| reference purposes | 0.461586 |
| independent body | 0.463588 |
| vaccine safety signs | 0.650244 |
| target groups | 0.516235 |
| initial doses | 0.471059 |
| public health importance | 0.50379 |
| professional web sites | 0.495442 |
| English language content | 0.51912 |
| vaccine safety | 0.766756 |
| H1N1 vaccines | 0.478734 |
| adverse event reports | 0.506737 |
| initial target groups | 0.498839 |
| PowerPoint presentation | 0.461669 |
|
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| 5397 |
Centers for Disease Control and Prevention |
Html |
en |
Effect of School District Policy Change on Consumption of Sugar-Sweetened Beverages Among High School Students, Boston, Massachusetts, 2004-2006 |
null |
| school settings | 0.457193 |
| data | 0.494867 |
| School Health Policies | 0.44893 |
| Boston Public Health | 0.474154 |
| Healthy Beverages | 0.469409 |
| public high school | 0.45978 |
| caloric consumption | 0.450726 |
| Public Schools beverage | 0.450506 |
| beverage consumption occasion | 0.470601 |
| national data | 0.455431 |
| Nutrition Examination Survey | 0.461254 |
| sugar-sweetened beverage servings | 0.466796 |
| capita consumption | 0.450673 |
| total consumption | 0.457446 |
| policy change | 0.50594 |
| school vending machines | 0.45873 |
| per-student consumption | 0.448198 |
| buying sugar-sweetened beverages | 0.516017 |
| Boston Youth Survey | 0.618559 |
| Boston Public Schools | 0.631281 |
| excess consumption | 0.45586 |
| National School Lunch | 0.446375 |
| average daily consumption | 0.50107 |
| high schools | 0.501564 |
| elementary school students | 0.444611 |
|
| Per-capita consumption | 0.456391 |
| national trends | 0.444501 |
| Boston School Committee | 0.458491 |
| fruit drinks | 0.488753 |
| less-healthful beverages | 0.472403 |
| sugar-sweetened beverage intake | 0.478394 |
| Public Health Commission | 0.465307 |
| total sugar-sweetened beverages | 0.543068 |
| Boston schools | 0.462752 |
| daily energy consumption | 0.463323 |
| sugar-sweetened beverages | 0.985002 |
| new policy | 0.44766 |
| sugar-sweetened beverage consumption | 0.489734 |
| sports drinks | 0.471604 |
| Introduction
Consumption | 0.461013 |
| mean consumption | 0.449323 |
| consumption | 0.608638 |
| self-reported consumption quantity | 0.462104 |
| high school students | 0.494346 |
| sugar-sweetened fruit drinks | 0.462167 |
| overall consumption | 0.446325 |
| public high schools | 0.468211 |
| new Boston Public | 0.455673 |
| fruit juice beverages | 0.493197 |
|
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| 5402 |
Centers for Disease Control and Prevention |
Html |
en |
An observational study of the secondary effects of a local smoke-free ordinance. |
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| smoking rates | 0.762322 |
| frequent binge drinking | 0.634521 |
| data | 0.600256 |
| community survey | 0.584962 |
| survey respondents | 0.582294 |
| local ordinance | 0.562409 |
| binge drinking | 0.803869 |
| student binge drinking | 0.565682 |
| bar owners | 0.570682 |
| bar patrons | 0.558416 |
| alcohol-related public disturbances | 0.604184 |
| bar smoking policies | 0.582123 |
| potential health benefits | 0.567898 |
| bar-going behavior | 0.555516 |
| house parties | 0.6684 |
| student smoking rates | 0.726033 |
| response rate | 0.595706 |
| citywide smoke-free ordinance | 0.66337 |
| extensive objective data | 0.551425 |
| smoking ordinance | 0.674372 |
| Madison smoke-free ordinance | 0.734271 |
| multiple data sources | 0.573068 |
| intoxicated driving | 0.543964 |
| community drinking rates | 0.558827 |
|
| survey | 0.668723 |
| ordinance opponents | 0.567626 |
| statewide smoking bans | 0.550783 |
| drinking behavior | 0.595578 |
| study | 0.617047 |
| proportion z test | 0.876133 |
| university student survey | 0.60329 |
| Madison ordinance | 0.582396 |
| high-risk drinking | 0.606963 |
| general population | 0.568864 |
| university students | 0.675167 |
| general adult population | 0.556727 |
| smoking | 0.845456 |
| smoke-free policies | 0.569924 |
| ordinance | 0.847159 |
| smoke-free ordinance | 0.796487 |
| key informant interviews | 0.661664 |
| smoking bans | 0.631796 |
| police records | 0.577865 |
| drinking rates | 0.641294 |
| public disturbances | 0.952079 |
| smoke-free ordinances | 0.7869 |
| university survey data | 0.562891 |
| study staff | 0.547364 |
|
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| 7916 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Nigeria - Why We Are Here |
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| public health principles | 0.959182 |
| endorsement | 0.365546 |
| CDC | 0.32569 |
| languages | 0.292087 |
| nation | 0.293043 |
| religious beliefs | 0.732295 |
| Health problems | 0.662859 |
| Africa | 0.294 |
| practices | 0.29094 |
| Content source | 0.679259 |
| HHS | 0.377181 |
|
| world | 0.281841 |
| non-federal site | 0.756545 |
| Notice | 0.321212 |
| sponsors | 0.279254 |
| ethnic groups | 0.775924 |
| important area | 0.679601 |
| diverse range | 0.758195 |
| Nigeria | 0.515361 |
| employees | 0.279519 |
| populous country | 0.846828 |
|
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| 9128 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Factors Predicting Physical Activity Among Children With Special Needs - CDC |
Obesity is especially prevalent among children with special needs. Both lack of physical activity and unhealthful eating are major contributing factors. The objective of our study was to investigate barriers to physical activity among these children. |
| child physical limitations | 0.459496 |
| attention deficit hyperactivity | 0.455454 |
| adequate physical activity | 0.47101 |
| sedentary children | 0.433384 |
| school-based activity programs | 0.444368 |
| higher obesity prevalence | 0.431361 |
| family-based interventions | 0.46239 |
| California Los Angeles | 0.432166 |
| child physical activity | 0.568583 |
| David Geffen School | 0.465348 |
| parental attitudes | 0.442628 |
| children | 0.658193 |
| moderate-to-vigorous physical activity | 0.479428 |
| nonprofit school | 0.433287 |
| physical health benefits | 0.452437 |
| small sample size | 0.449705 |
| healthy children | 0.431963 |
| parental physical activity | 0.505105 |
| obesity | 0.434579 |
| mental health problems | 0.430779 |
| commonly cited barriers | 0.432064 |
| socioeconomically diverse group | 0.430825 |
| special needs | 0.85688 |
| physical skills | 0.432574 |
|
| behavioral problems | 0.444191 |
| physical development | 0.437126 |
| greater activity | 0.432575 |
| response rate | 0.447583 |
| Mattel Children | 0.439147 |
| Vista Del Mar | 0.50996 |
| typical children | 0.435266 |
| physical activity | 0.968177 |
| lack | 0.441668 |
| children’s participation | 0.434106 |
| Del Mar School | 0.483956 |
| disabilities | 0.4465 |
| barriers | 0.472646 |
| physical activity habits | 0.476811 |
| 12th grade | 0.447273 |
| physical activity change | 0.463148 |
| child body mass | 0.434734 |
| physical activity level | 0.521618 |
| inadequate physical activity | 0.470467 |
| healthier children | 0.431481 |
| Los Angeles | 0.504982 |
| developmentally appropriate programs | 0.432059 |
| parents | 0.533406 |
|
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| 9992 |
Centers for Disease Control and Prevention |
Html |
en |
CDC Online Newsroom | CDC Advisory | CDC Telebriefing: New Vital Signs Report - How much alcohol is too much?? |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| media availability | 0.591072 |
| Non-Media | 0.490159 |
| United States | 0.637966 |
| adults | 0.43996 |
| M.D. | 0.435803 |
| briefing | 0.452025 |
| brief counseling | 0.618028 |
| Noon ET | 0.640387 |
| transcript | 0.493653 |
| PASSCODE | 0.483276 |
| M.P.H | 0.474124 |
| Tuesday | 0.443421 |
| press | 0.458973 |
|
| behavior | 0.440209 |
| Important Instructions | 0.612729 |
| CDC Media | 0.716879 |
| question | 0.539561 |
| health service | 0.617396 |
| CDC Director Tom | 0.919461 |
| alcoholics | 0.449768 |
| touchtone phone | 0.635965 |
| latest findings | 0.65266 |
| alcohol screening | 0.643392 |
| Frieden | 0.479044 |
| time | 0.434745 |
|
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| 10992 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Demographic Factors Associated With Perceptions About Water Safety and Tap Water Consumption Among Adults in Santa Clara County, California, 2011 - CDC |
The objective of this study was to examine differences in tap water consumption and perceptions of bottle versus tap water safety for Hispanics and non-Hispanic whites, as well as associations with other demographic characteristics. |
| primarily drink tap | 0.452381 |
| low water intake | 0.395335 |
| County tap water | 0.494015 |
| New York City | 0.42851 |
| Public Health Institute | 0.374238 |
| Clara County respondents | 0.382892 |
| previous studies | 0.373813 |
| drinking water behaviors | 0.404172 |
| Zhouri A. Perceptions | 0.378937 |
| tap water safety | 0.557612 |
| Santa Clara County | 0.864344 |
| County Public Health | 0.404844 |
| BMC Public Health | 0.406774 |
| Pediatr Adolesc Med | 0.388547 |
| water consumption patterns | 0.41082 |
| Water Health | 0.433414 |
| Clara County Health | 0.390078 |
| Constant F. Water | 0.396794 |
| water consumption | 0.730833 |
| water consumption choices | 0.4125 |
| unfiltered tap | 0.403024 |
| sociodemographic characteristics | 0.383749 |
| CrossRef | 0.387784 |
| ) water. | 0.382429 |
| Clara County Dietary | 0.375364 |
|
| tap water | 0.977612 |
| Mendoza M. Tap | 0.412227 |
| bottled water | 0.856237 |
| adults | 0.376538 |
| water quality issues | 0.415543 |
| public opinion survey | 0.401635 |
| primarily consuming tap | 0.484525 |
| water intake | 0.402675 |
| Survey Research Group | 0.400491 |
| Public Health Department | 0.400171 |
| Public Health Nutr | 0.375473 |
| Clara County Public | 0.375966 |
| tap water consumption | 0.646395 |
| Water consumption beliefs | 0.418255 |
| non-Hispanic whites | 0.380796 |
| Community Health | 0.376448 |
| public health | 0.584062 |
| Arch Pediatr Adolesc | 0.388416 |
| versus tap water | 0.497442 |
| bottled plain water | 0.461699 |
| total water consumption | 0.441602 |
| Dietary Practices Survey | 0.447501 |
| York City Department | 0.37846 |
| perceptions | 0.445302 |
|
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| 11568 |
Centers for Disease Control and Prevention |
Html |
en |
NER - Peer-Reviewed Biomonitoring Articles | Metals: Lead |
null |
| 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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| 11634 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Topic: Occupational Hearing Loss (OHL) Surveillance - Publications |
null |
| Prevalence | 0.274633 |
| occupation | 0.26977 |
| comparison | 0.249542 |
| NIOSH | 0.282689 |
| United States | 0.427586 |
| criteria | 0.254836 |
| shift | 0.264364 |
| worker hearing loss | 0.902708 |
| National Health Interview | 0.620872 |
| employment | 0.237897 |
|
| analysis | 0.237543 |
| Spectrum | 0.247877 |
| industry sector | 0.460739 |
| difficulty | 0.259722 |
| protectors | 0.275863 |
| Survey | 0.237241 |
| OSHA | 0.262157 |
| shifts | 0.276086 |
| Trends | 0.255876 |
| CAOHC Update Fall | 0.772061 |
|
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| 13647 |
Centers for Disease Control and Prevention |
Html |
en |
Update: Influenza Activity - United States and Worldwide,May 24-September 5, 2015 |
Lenee Blanton, MPH1; Krista Kniss, MPH1; Sophie Smith, MPH1; Desiree Mustaquim, MPH1; Craig Steffens, MPH1; Brendan Flannery, PhD1; Alicia M. Fry, MD1; Joseph Bresee, MD1; Teresa Wallis, MS1; Rebecca Garten, PhD1; Xiyan Xu, MD1; Anwar Isa Abd Elal1; Larisa Gubareva, PhD1; David E. Wentworth, PhD1; Erin Burns, MA1; Jacqueline Katz, PhD1; Daniel Jernigan, MD1; Lynnette Brammer, MPH1. |
| influenza | 0.924083 |
| variant influenza viruses | 0.50264 |
| CDC influenza surveillance | 0.436365 |
| avian influenza | 0.426967 |
| trivalent influenza vaccine | 0.450866 |
| Multiple influenza vaccines | 0.426211 |
| novel influenza | 0.484817 |
| quadrivalent influenza vaccine | 0.494231 |
| influenza information | 0.456035 |
| Global Influenza Surveillance | 0.457936 |
| U.S. influenza surveillance | 0.486151 |
| influenza vaccine viruses | 0.613705 |
| live attenuated influenza | 0.423376 |
| influenza B component | 0.421122 |
| influenza antiviral medications | 0.474452 |
| influenza virus infection | 0.430564 |
| trivalent influenza vaccines | 0.444429 |
| Hemisphere influenza vaccines | 0.4831 |
| Influenza Hospitalization Surveillance | 0.431898 |
| influenza A virus | 0.424753 |
| Influenza surveillance reports | 0.42464 |
| influenza vaccine | 0.69348 |
|
| overall influenza activity | 0.44986 |
| trivalent inactivated influenza | 0.424868 |
| influenza activity | 0.660175 |
| influenza vaccines | 0.532477 |
| seasonal influenza | 0.518354 |
| similar influenza transmission | 0.450087 |
| Seasonal influenza viruses | 0.5027 |
| influenza neuraminidase inhibitor | 0.430942 |
| Northern Hemisphere influenza | 0.482739 |
| influenza transmission zones | 0.446135 |
| tropical influenza seasonality | 0.441683 |
| inactivated influenza vaccine | 0.460086 |
| Hemisphere quadrivalent influenza | 0.439932 |
| influenza surveillance | 0.527658 |
| influenza viruses | 0.689115 |
| annual influenza vaccination | 0.482545 |
| influenza B virus | 0.438744 |
| influenza virus | 0.51581 |
| influenza b viruses | 0.739842 |
| quadrivalent inactivated influenza | 0.424635 |
| influenza a viruses | 0.562884 |
| seasonal influenza activity | 0.480774 |
|
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