| 612 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 793 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
CLICK HERE |
| 1035 |
Centers for Disease Control and Prevention |
Html |
en |
Smoke Free Soccer - Coaches Manual - Chapter 1 - Smoking & Tobacco Use |
Español. |
| 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 |
|
CLICK HERE |
| 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 |
| 9786 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: Recommendation Regarding ClinicalDecision-Support Systems in Cardiovascular Disease Prevention andControl |
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. | 0.497968 |
| prevention experts | 0.480259 |
| CDC | 0.518241 |
| endorsement | 0.394642 |
| Human Services | 0.792951 |
| assistive technology | 0.506258 |
| U.S. Department | 0.799918 |
| MMWR HTML versions | 0.610783 |
| task force | 0.995919 |
| electronic PDF version | 0.596434 |
| new information | 0.494522 |
| e-mail | 0.361315 |
| Preventive | 0.33044 |
| population health | 0.485924 |
| Clinical Decision-Support Systems | 0.65607 |
| Contact GPO | 0.507169 |
| commercial sources | 0.473852 |
| decision makers | 0.47271 |
| current prices | 0.464477 |
| original paper copy | 0.59226 |
| Cardiovascular Disease Prevention | 0.639564 |
| programs | 0.355318 |
| wide range | 0.478832 |
| U.S. Government Printing | 0.599704 |
|
| Superintendent | 0.332652 |
| assistance | 0.332097 |
| title | 0.330185 |
| MMWR readers | 0.479221 |
| character translation | 0.463469 |
| technical support | 0.476463 |
| file | 0.332304 |
| MMWR paper copy | 0.603661 |
| Persons | 0.332431 |
| public health | 0.495195 |
| format errors | 0.468581 |
| subject line | 0.487455 |
| approval | 0.330035 |
| typeset documents | 0.475367 |
| trade names | 0.474006 |
| Services Task Force | 0.73767 |
| http://www.thecommunityguide.org/cvd/cdss.html | 0.331077 |
| official text | 0.461005 |
| non-CDC sites | 0.471106 |
| report | 0.33016 |
| Accommodation | 0.330211 |
| uncompensated panel | 0.474452 |
| electronic conversions | 0.46208 |
| printable versions | 0.456881 |
|
CLICK HERE |
| 12744 |
Centers for Disease Control and Prevention |
Html |
en |
Update: Ebola Virus Disease Epidemic - West Africa, January2015 |
On January 30, 2015, this report was posted as an MMWR Early Release on the MMWR website (http://www.cdc.gov/mmwr). |
| Port Loko | 0.362766 |
| Guinea Interministerial Committee | 0.561322 |
| Human Services | 0.406603 |
| actual number | 0.365364 |
| Situational Awareness Team | 0.409426 |
| U.S. Department | 0.406688 |
| MMWR HTML versions | 0.404141 |
| MMWR Early Release | 0.432214 |
| Social Welfare | 0.42505 |
| electronic PDF version | 0.397071 |
| Zoonotic Infectious Diseases | 0.422159 |
| situation reports | 0.361006 |
| National Center | 0.367005 |
| World Health Organization | 0.836896 |
| ongoing Ebola epidemic | 0.493258 |
| Contact GPO | 0.362277 |
| Organization update | 0.364006 |
| latest updates | 0.357881 |
| up-to-date infection control | 0.401536 |
| CDC Guinea Response | 0.526191 |
| Services Program | 0.358017 |
| original paper copy | 0.398288 |
| laboratory diagnostics | 0.358826 |
| Ebola virus disease | 0.670053 |
|
| original MMWR paper | 0.40274 |
| U.S. Government Printing | 0.402549 |
| Sierra Leone | 0.90939 |
| Ebola Epidemiology Team | 0.523308 |
| Special Pathogens Branch | 0.422628 |
| CDC Sierra Leone | 0.585956 |
| MMWR website | 0.375278 |
| MMWR readers | 0.360786 |
| Western Area | 0.359492 |
| Response Team | 0.451328 |
| FIGURE. Number | 0.362669 |
| case counts | 0.417667 |
| highest number | 0.364512 |
| Liberia Ministry | 0.486284 |
| Total case | 0.366564 |
| paper copy | 0.403928 |
| Public Health Preparedness | 0.42179 |
| ongoing epidemic | 0.371345 |
| latest World Health | 0.439097 |
| new confirmed cases | 0.491207 |
| Sierra Leone Ministry | 0.616777 |
| West Africa | 0.46382 |
| CDC Liberia Response | 0.558224 |
| recent weeks totals | 0.360751 |
|
CLICK HERE |
| 12970 |
Centers for Disease Control and Prevention |
Html |
en |
CDC investigating potential exposures of American citizens to Ebola in West Africa |
CDC is releasing the first national estimates of doctor visits and healthcare costs associated with keratitis |
| treatment | 0.428261 |
| infection | 0.4283 |
| CDC | 0.474159 |
| arrival | 0.42886 |
| abundance | 0.432667 |
| volunteer healthcare worker | 0.715171 |
| Sierra Leone | 0.95965 |
| Atlanta area | 0.536486 |
| individuals | 0.506827 |
| medevac | 0.449917 |
| Ebola virus | 0.70918 |
| American citizens | 0.687054 |
| non-commercial air transport | 0.670931 |
| result | 0.428616 |
| contingency plans | 0.555345 |
| U.S. DEPARTMENT | 0.532448 |
|
| index patient | 0.660467 |
| potential exposure | 0.859565 |
| NIH Clinical Center | 0.733138 |
| caution | 0.436739 |
| case | 0.426499 |
| 21-day incubation period | 0.964641 |
| individual | 0.436632 |
| direct active monitoring | 0.88594 |
| volunteers | 0.425281 |
| State Department | 0.543371 |
| Ebola response | 0.674782 |
| exposures | 0.436927 |
| Emory University Hospital | 0.661311 |
| investigation | 0.426431 |
| HUMAN SERVICES | 0.539634 |
|
CLICK HERE |
| 13317 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| CHI efforts | 0.462835 |
| significant health | 0.450874 |
| user-friendly measurement | 0.463409 |
| hospital organization | 0.540074 |
| Relevant Excerpts | 0.452314 |
| legal advice | 0.439125 |
| Main Section | 0.453588 |
| Public Inspection | 0.441719 |
| key concept | 0.458143 |
| Political Organization IRS | 0.616853 |
| C.F.R. pts | 0.444306 |
| implementation strategy | 0.543027 |
| 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 |
| privately-funded organizations | 0.452556 |
| legal professional | 0.437869 |
| key concepts | 0.961712 |
| regular basis | 0.447102 |
| systems | 0.354415 |
| 31Additional Requirements | 0.439575 |
| regulatory guidance | 0.43382 |
| copy | 0.361804 |
| population health improvement | 0.584183 |
| CHNA report | 0.453845 |
| immediately preceding CHNA | 0.577312 |
| filing organization | 0.442797 |
| 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 |
|
CLICK HERE |
| 13380 |
Centers for Disease Control and Prevention |
Html |
en |
State Legislation, Regulations, and Hospital Guidelines forNewborn Screening for Critical Congenital Heart Defects - UnitedStates, 2011-2014 |
Jill Glidewell, MSN1; Richard S. Olney, MD1; Cynthia Hinton, PhD2; Jim Pawelski, MS3; Marci Sontag, PhD4; Thalia Wood, MPH5; James E. Kucik, PhD6; Rachel Daskalov, MHA3; Jeff Hudson, MA3 (Author affiliations at end of text). |
| Developmental Disabilities | 0.35644 |
| newborn screening programs | 0.681661 |
| Birth Defects | 0.357219 |
| Public Health Laboratories | 0.386446 |
| oxygen saturation | 0.391251 |
| HHS Secretary | 0.354517 |
| oxygen saturation results | 0.375487 |
| states | 0.408512 |
| AAP state chapters | 0.364911 |
| state newborn screening | 0.510541 |
| mandatory screening legislation | 0.445256 |
| State Government Affairs | 0.406777 |
| CCHD screening algorithm | 0.450339 |
| screening panels | 0.452519 |
| individual-level data reporting | 0.358796 |
| Newborn Screening Technical | 0.52491 |
| Uniform Screening Panel | 0.464183 |
| Columbia support CCHD | 0.365772 |
| CCHD screening | 0.546689 |
| newborn screening conditions | 0.539076 |
| public health | 0.458046 |
| hospitals screen newborns | 0.36045 |
| pulse oximetry | 0.354266 |
|
| newborn screening program | 0.636012 |
| repeat screening | 0.430243 |
| future data collection | 0.364926 |
| infant morbidity | 0.35597 |
| newborns | 0.38708 |
| CCHD screening implementation | 0.460844 |
| state CCHD | 0.37267 |
| state-specific screening panels | 0.446488 |
| data collection | 0.58456 |
| early identification | 0.377444 |
| newborn screening adoption | 0.497331 |
| newborn bloodspot | 0.371153 |
| State-level data collection | 0.362516 |
| data collection practices | 0.369174 |
| live births | 0.355827 |
| universal screening | 0.421335 |
| CCHD newborn screening | 0.811743 |
| hospital guidelines | 0.378454 |
| state level | 0.359089 |
| aggregate data collection | 0.363902 |
| state legislation | 0.35511 |
| newborn screening | 0.976069 |
| current data collection | 0.364958 |
|
CLICK HERE |
| 14429 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| available health materials | 0.497583 |
| materials assessment tool | 0.566073 |
| minimizes literacy demand | 0.502419 |
| health information | 0.519798 |
| appropriate health literacy | 0.527166 |
| sickle cell disease | 0.59718 |
| Cancer Education Materials | 0.527896 |
| Irwin S. Kirsch | 0.495611 |
| education materials assessment | 0.572487 |
| Disease Control | 0.504465 |
| patient education information | 0.497682 |
| Sensitivity Assessment Tool | 0.514405 |
| sickle cell anemia | 0.509463 |
| A. Adult literacy | 0.495796 |
| health literacy theory | 0.545612 |
| 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 |
| health literacy disparities | 0.522631 |
| 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 |
|
CLICK HERE |