| 612 |
Centers for Disease Control and Prevention |
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Prepare for Unpredictable Spring Weather | CDC Features |
Spring weather can be unpredictable. Reduce injury risk and plan ahead. |
| specific safety precautions | 0.569421 |
| surprise factor | 0.445704 |
| severe spring weather | 0.644085 |
| floods | 0.465487 |
| Advance planning | 0.435829 |
| extreme weather changes | 0.592947 |
| thunderstorms | 0.651808 |
| stormy weather | 0.482891 |
| kinds | 0.327337 |
| emergency supplies | 0.432898 |
| type | 0.326031 |
| summer | 0.329484 |
| extreme weather events | 0.565227 |
| world | 0.329537 |
| real possibilities | 0.445326 |
| death increases | 0.454506 |
| emergency plan | 0.428069 |
| things | 0.332235 |
| possibility | 0.327391 |
|
| hand | 0.327044 |
| family members | 0.539342 |
| lightning | 0.365143 |
| tornadoes | 0.54226 |
| dry air | 0.446552 |
| spring weather | 0.669494 |
| Mark Twain | 0.46169 |
| Temperatures | 0.335555 |
| appropriate shelter | 0.445822 |
| flooding | 0.379515 |
| sense | 0.326026 |
| experience thunderstorms | 0.553618 |
| home | 0.348597 |
| time | 0.444297 |
| moist air collides | 0.600109 |
| region | 0.328292 |
| severe weather | 0.907457 |
| items | 0.328634 |
| Reduce injury risk | 0.598737 |
|
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| 793 |
Centers for Disease Control and Prevention |
Html |
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Algal Bloom-Associated Disease Outbreaks Among Users ofFreshwater Lakes - United States, 2009-2010 |
Elizabeth D. Hilborn, DVM1, Virginia A. Roberts, MSPH2, Lorraine Backer, PhD3, Erin DeConno4, Jessica S. |
| Water testing practices | 0.457409 |
| Algal Bloom-Related Illness | 0.522326 |
| inhalation exposure | 0.481621 |
| contact exposure | 0.479067 |
| exposure assessment | 0.467183 |
| toxic cyanobacteria | 0.475449 |
| recreational waters | 0.704371 |
| human exposure | 0.467085 |
| freshwater lakes | 0.453389 |
| water sampling results | 0.469444 |
| HAB-associated outbreaks | 0.813035 |
| freshwater hab-associated outbreaks | 0.725394 |
| visible algal scum | 0.486497 |
| evidence-based prevention strategies | 0.491967 |
| exposure routes | 0.466771 |
| World Health Organization | 0.453498 |
| CFU/100 mL | 0.564448 |
| cyanotoxins exposure | 0.51187 |
| persons | 0.48454 |
| HAB-associated recreational waterborne | 0.455389 |
| exposure | 0.797249 |
| freshwater HABs | 0.476819 |
| outbreaks | 0.951901 |
| Environmental Protection Agency | 0.525821 |
| HAB-associated health effects | 0.492202 |
|
| multiple health effects | 0.473514 |
| health effects | 0.824913 |
| HAB-associated illness | 0.664385 |
| United States | 0.485697 |
| frequent exposure | 0.465731 |
| waterborne disease outbreaks | 0.716232 |
| recreational water exposure | 0.649437 |
| true exposure route | 0.52072 |
| outbreak investigations | 0.589343 |
| algal bloom–associated outbreaks | 0.613808 |
| exposure period | 0.460319 |
| human health data | 0.485643 |
| potentially severe health | 0.54439 |
| recreational water quality | 0.558706 |
| cyanobacteria | 0.528305 |
| harmful algal blooms | 0.766428 |
| public health | 0.482016 |
| untreated recreational water | 0.498843 |
| recreational water | 0.726923 |
| cyanobacteria blooms | 0.454763 |
| ingestion exposure | 0.488661 |
| outbreak surveillance | 0.455418 |
| potentially toxic cyanobacteria | 0.464723 |
| National Outbreak Reporting | 0.483472 |
|
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| 956 |
Centers for Disease Control and Prevention |
Html |
en |
Impact of Requiring Influenza Vaccination for Children inLicensed Child Care or Preschool Programs - Connecticut, 2012-13Influenza Season |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| child care centers | 0.403125 |
| influenza vaccination coverage | 0.550704 |
| different influenza strains | 0.458398 |
| influenza-associated hospitalization | 0.442719 |
| influenza circulation | 0.426224 |
| national vaccination level | 0.409377 |
| seasonal influenza vaccination | 0.546116 |
| New York City | 0.386049 |
| children | 0.554321 |
| Connecticut influenza vaccination | 0.535095 |
| FluView catchment area | 0.37887 |
| New Haven County | 0.436689 |
| influenza vaccine | 0.561122 |
| influenza-associated hospitalization rate | 0.395362 |
| Congregate child care | 0.380211 |
| EIP sites | 0.375968 |
| influenza hospitalizations | 0.433623 |
| annual influenza vaccination | 0.525735 |
| vaccination data | 0.394238 |
| influenza-associated hospitalization rates | 0.402428 |
| Connecticut child care | 0.384908 |
| child care attendance | 0.392968 |
| licensed child care | 0.984705 |
| influenza subtype | 0.437835 |
|
| age group | 0.374267 |
| Emerging Infections Program | 0.38617 |
| influenza transmission | 0.48178 |
| influenza vaccination rate | 0.519895 |
| recent influenza seasons | 0.456195 |
| influenza hospitalization rate | 0.466805 |
| influenza vaccination requirement | 0.559414 |
| vaccination levels | 0.414285 |
| influenza exposure | 0.430997 |
| 2012-13 influenza seasons | 0.438214 |
| child care programs | 0.417951 |
| child care program | 0.403846 |
| influenza season | 0.687072 |
| child care survey | 0.398876 |
| severe influenza-related illness | 0.385327 |
| child care settings | 0.407026 |
| influenza vaccination rates | 0.525779 |
| influenza vaccination | 0.90235 |
| preschool-aged children | 0.387268 |
| influenza complications | 0.425142 |
| EIP site | 0.385528 |
| influenza seasons | 0.481828 |
| influenza-associated hospitalizations | 0.381451 |
| high vaccination rates | 0.406244 |
|
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| 1090 |
Centers for Disease Control and Prevention |
Html |
en |
Key Findings: Use of clomiphene citrate and birth defects, National Birth Defects Prevention Study, 1997-2005 |
This page has moved. Please update your bookmarks. If you are not redirected, please click here. |
| 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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| 5280 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, April 18, 2011 |
null |
| Apr | 0.771833 |
| urinary sodium excretion | 0.800284 |
| Four-year treatment outcomes | 0.792185 |
| Grunbaum JA | 0.796567 |
| Pediatr Infect Dis | 0.789708 |
| Front-of-pack nutrition label | 0.784291 |
| Marginal iodide deficiency | 0.785947 |
| ACE-27 comorbidity index | 0.792835 |
| diastolic blood pressure | 0.787605 |
| CDC Science Clips | 0.949152 |
| colorectal cancer screening | 0.798887 |
| Nutrition Examination Survey | 0.783664 |
| youth violence prevention | 0.790392 |
| Metal ions | 0.770594 |
| Pohl HR | 0.829844 |
| Chief Science Officer | 0.81008 |
| Met Ions Life | 0.969735 |
| group-level HIV/AIDS intervention | 0.785155 |
| American Heart Association | 0.805866 |
| Analytical performance issues | 0.786934 |
| PLoS Curr. | 0.765184 |
| Rift Valley fever | 0.791138 |
| direct-reading exposure assessment | 0.785094 |
| Stephen B. Thacker | 0.892602 |
| Behav Nutr Phys | 0.786601 |
|
| Natl Cancer Inst. | 0.797192 |
| Environmental Health Specialists | 0.809505 |
| healthier product development | 0.781127 |
| unintentional injury risk | 0.796022 |
| United States | 0.7833 |
| oral health component | 0.79553 |
| crossover clinical trial | 0.780401 |
| U.S. preventive services | 0.782802 |
| new funding cycle | 0.789423 |
| methicillin-sensitive S. aureus | 0.795625 |
| antiretroviral therapy program | 0.798022 |
| cardiovascular disease | 0.800282 |
| medical record review | 0.799919 |
| Human rhinovirus infections | 0.791755 |
| public health literature | 0.803279 |
| B. Thacker CDC | 0.938327 |
| systematic review | 0.789431 |
| quantitative pharmacokinetic modeling | 0.787641 |
| Fecal DNA testing | 0.800369 |
| community-associated Staphylococcus aureus | 0.798254 |
| original sources | 0.767912 |
| Ions Life Sci. | 0.971875 |
| parent mental distress | 0.784253 |
| Thacker CDC Library | 0.938305 |
|
CLICK HERE |
| 6999 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Click It or Ticket Campaign - May 21-June 3, 2012 |
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. |
| mmwrq@cdc.gov. | 0.566302 |
| Campaign activities | 0.54797 |
| endorsement | 0.462911 |
| Human Services | 0.644445 |
| assistive technology | 0.569524 |
| MMWR HTML versions | 0.655494 |
| U.S. Department | 0.640662 |
| nighttime | 0.429376 |
| NHTSA online | 0.572656 |
| Law enforcement agencies | 0.669157 |
| electronic PDF version | 0.644477 |
| e-mail | 0.453581 |
| national campaign | 0.551047 |
| Ticket campaign | 0.545595 |
| passenger vehicle occupants | 0.723411 |
| Additional information | 0.641046 |
| Contact GPO | 0.564761 |
| seat belt laws | 0.743674 |
| commercial sources | 0.540636 |
| current prices | 0.536745 |
| persons | 0.451772 |
| original paper copy | 0.651006 |
| seat belts | 0.895737 |
| United States | 0.815722 |
|
| U.S. Government Printing | 0.657336 |
| original MMWR paper | 0.650962 |
| young adult men | 0.666383 |
| motor vehicle crash | 0.945069 |
| MMWR readers | 0.546142 |
| character translation | 0.534267 |
| file | 0.42707 |
| high-visibility enforcement | 0.553735 |
| additional lives | 0.565176 |
| vehicle crash deaths | 0.725109 |
| Traffic Safety Administration | 0.671927 |
| format errors | 0.534574 |
| subject line | 0.565663 |
| Health | 0.440374 |
| typeset documents | 0.541177 |
| trade names | 0.540729 |
| official text | 0.532751 |
| emergency departments | 0.546785 |
| seat belt | 0.899132 |
| non-CDC sites | 0.53906 |
| motor vehicle crashes | 0.700651 |
| effective means | 0.545295 |
| electronic conversions | 0.531398 |
| printable versions | 0.528045 |
|
CLICK HERE |
| 8331 |
Centers for Disease Control and Prevention |
Html |
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Youth Violence - Violence Prevention - Injury |
null |
| young person | 0.576849 |
| E. G. Krug | 0.764634 |
| World report | 0.631338 |
| Consistency | 0.515415 |
| peers | 0.51678 |
| protective factors | 0.572018 |
| physical force | 0.585063 |
| community services | 0.578355 |
| different forms | 0.657004 |
| (pp. | 0.636868 |
| offender | 0.51408 |
| property values | 0.576157 |
| results | 0.513691 |
| psychological harm | 0.598101 |
| jurisdictions | 0.514572 |
| World Health Organization | 0.737873 |
| disruption | 0.516372 |
| physical harm | 0.597994 |
| global public health | 0.633953 |
| schools | 0.515299 |
| J. A. Mercy | 0.744096 |
| justice costs | 0.576413 |
| L. L. Dahlberg | 0.766874 |
| Eds. | 0.525043 |
| consistent definition | 0.641123 |
|
| Examples | 0.514034 |
| intervention efforts | 0.572325 |
| Butchart | 0.518804 |
| death | 0.51364 |
| Geneva | 0.52762 |
| victimization | 0.517072 |
| turn | 0.513857 |
| young people | 0.642775 |
| youth violence | 0.98195 |
| magnitude | 0.51597 |
| victim | 0.513872 |
| power | 0.515105 |
| R. Lozano | 0.651744 |
| significant public health | 0.660188 |
| fights | 0.514892 |
| families | 0.515309 |
| Switzerland | 0.525255 |
| perpetration | 0.520083 |
| gang-related violence | 0.698095 |
| public health problem | 0.778579 |
| Farrington | 0.517236 |
| ages | 0.515159 |
| incidence | 0.514143 |
| A. B. Zwi | 0.743883 |
|
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| 10571 |
Centers for Disease Control and Prevention |
Html |
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Respirator Use Policy for Protection Against Carcinogens |
null |
| protective respirators | 0.58116 |
| respirator program administrator | 0.573617 |
| no-effect exposure | 0.487061 |
| appropriate exposure limit | 0.558355 |
| exposure limit | 0.640083 |
| respirator types | 0.475197 |
| NIOSH Respirator Decision | 0.834639 |
| carcinogen policy | 0.388731 |
| available scientific information | 0.420138 |
| NIOSH-developed RELs | 0.513307 |
| worker exposure | 0.461367 |
| lowest feasible level | 0.438647 |
| respirator selection | 0.48822 |
| NIOSH | 0.924039 |
| old policy | 0.53533 |
| ambient workplace exposures | 0.458219 |
| proven carcinogenic substances | 0.494678 |
| lowest feasible concentration | 0.460256 |
| inclusive policy | 0.356562 |
| animal health effects | 0.443942 |
| exposure | 0.834669 |
| applicable exposure | 0.457114 |
| protective respirator | 0.491853 |
| respirator recommendations | 0.480469 |
| Edward J. Fairchild | 0.465878 |
|
| quantitative REL | 0.526172 |
| quantitative RELs | 0.930863 |
| higher APFs | 0.403177 |
| permissible exposure limit | 0.596721 |
| NIOSH Recommended Exposure | 0.792166 |
| selection criterion | 0.439241 |
| Assigned Protection Factor | 0.41164 |
| current NIOSH Pocket | 0.653532 |
| engineering controls | 0.448879 |
| proper respirator program | 0.573215 |
| LFC RELs | 0.599858 |
| technologic feasibility | 0.47271 |
| carcinogens | 0.999755 |
| new policy | 0.587622 |
| policy states | 0.377851 |
| workplace exposures | 0.557508 |
| NIOSH REL | 0.70506 |
| detectable exposure levels | 0.618306 |
| generic OSHA rulemaking | 0.454581 |
| respirator options | 0.493749 |
| Workplace Airborne Concentration | 0.432991 |
| highest APF | 0.357223 |
| respirator type | 0.488195 |
| NIOSH-recommended exposure | 0.489718 |
|
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Evaluate Actions - Tools for Successful CHI Efforts - ChiNav - CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| intermediate outcomes | 0.46982 |
| IRS Final Rule | 0.860946 |
| IRS Form. | 0.496366 |
| Health Needs Assessments | 0.995358 |
| health equity | 0.458628 |
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| legal advice | 0.439125 |
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| key concept | 0.458143 |
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| additional tools | 0.455154 |
| IRS Form 4506-A | 0.620893 |
| Excise Tax Return | 0.552213 |
| local practice | 0.455214 |
| evaluation feedback | 0.45736 |
| Community Health Needs | 0.986534 |
| effective evaluation | 0.63434 |
| Charitable Hospitals | 0.797951 |
|
| environmental strategies | 0.456286 |
| Checklist tabs | 0.443501 |
| community change process | 0.598994 |
| Internal Revenue Service | 0.575373 |
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| key concepts | 0.961712 |
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| 31Additional Requirements | 0.439575 |
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| immediately preceding CHNA | 0.577312 |
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| policy design | 0.459732 |
| health-equity considerations | 0.45394 |
| CHI process | 0.476097 |
| continuous evaluation results | 0.599166 |
| hospital facility | 0.80931 |
| specific circumstance | 0.44666 |
| Web page | 0.445126 |
| outline critical elements | 0.616285 |
|
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Centers for Disease Control and Prevention |
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A Mismatch Between Patient Education Materials About SickleCell Disease and the Literacy Level of Their IntendedAudience |
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. |
| patient education materials | 0.93803 |
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| Irwin S. Kirsch | 0.495611 |
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| Disease Control | 0.504465 |
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| A. Adult literacy | 0.495796 |
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| literacy demand scores | 0.510088 |
| literacy demand score | 0.528593 |
| health literacy | 0.930777 |
| Cultural Sensitivity Assessment | 0.513712 |
| audience-specific literacy demand | 0.500878 |
| low health literacy | 0.539136 |
| SCD educational materials | 0.525537 |
| health literacy demand | 0.55511 |
| literacy demand | 0.600551 |
|
| Clear Communication Index | 0.537416 |
| United States | 0.527023 |
| literacy skills | 0.618757 |
| educational materials | 0.596991 |
| Americans Cultural Sensitivity | 0.508788 |
| general literacy skills | 0.512901 |
| 8th-grade literacy level | 0.506139 |
| SCD patient education | 0.496658 |
| average literacy level | 0.521202 |
| health departments | 0.494934 |
| National Adult Literacy | 0.504655 |
| public health | 0.578773 |
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| low literacy skills | 0.573579 |
| Health literacy demands | 0.547245 |
| adult literacy | 0.55325 |
| health literacy studies | 0.537321 |
| SCD | 0.569062 |
| health literacy level | 0.556527 |
| health education materials | 0.524963 |
| sickle cell | 0.633358 |
| grade reading level | 0.511222 |
| adult literacy skills | 0.524409 |
| literacy levels | 0.497731 |
|
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