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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 |
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| 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 |
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| 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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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 |
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| multiple health effects | 0.473514 |
| health effects | 0.824913 |
| HAB-associated illness | 0.664385 |
| United States | 0.485697 |
| frequent exposure | 0.465731 |
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| recreational water exposure | 0.649437 |
| true exposure route | 0.52072 |
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| algal bloom–associated outbreaks | 0.613808 |
| exposure period | 0.460319 |
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| 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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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 |
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| 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 |
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Smokers are smoking less - Press Release: September 6, 2011 |
New CDC-Developed Diagnostic Lab Test for Flu Approved |
| CDC Office | 0.601194 |
| Mortality Weekly Report | 0.629928 |
| previous five–year period | 0.639215 |
| National Health Interview | 0.682245 |
| direct health care | 0.66519 |
| cigarette packs | 0.526439 |
| CDC journal Morbidity | 0.692439 |
| tobacco–related diseases | 0.527116 |
| fewer cigarettes | 0.759186 |
| greatest success | 0.528891 |
| tobacco smoke | 0.641314 |
| CDC Director Tom | 0.7226 |
| fewer american adults | 0.937401 |
| asthma attack | 0.535642 |
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| right direction | 0.530319 |
| productivity. Tobacco control | 0.692848 |
| daily smokers | 0.698672 |
| strongest tobacco control | 0.720987 |
| tobacco control programs | 0.909278 |
| heavy smoker | 0.54459 |
| smoking–related disease | 0.643859 |
| heart attack | 0.536352 |
| health threats | 0.561239 |
| cancer prevention | 0.525129 |
|
| United States | 0.781212 |
| long–time smoker | 0.544487 |
| Tim McAfee | 0.524954 |
| significant health burden | 0.694113 |
| cardiovascular health | 0.560556 |
| cigarette smoking | 0.624277 |
| prescription drug overdose | 0.629819 |
| percent smoke–free policies | 0.756993 |
| U.S. DEPARTMENT | 0.523508 |
| Disease Control | 0.559156 |
| U.S. health protection | 0.665332 |
| adult daily smokers | 0.673169 |
| key health indicators | 0.654077 |
| motor vehicle passenger | 0.62468 |
| Vital Signs report | 0.681791 |
| economic impact | 0.527186 |
| graphic health warnings | 0.672524 |
| intensified efforts | 0.531259 |
| human life | 0.525622 |
| food safety | 0.523633 |
| higher tobacco prices | 0.696638 |
| easily accessible help | 0.622798 |
| CDC report | 0.597379 |
| Dr. Frieden | 0.556983 |
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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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Announcements: National Campaign to Prevent Falls inConstruction - United States, 2013 |
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. | 0.676662 |
| construction workers | 0.981037 |
| responsible employers | 0.651577 |
| government/labor/management partnership | 0.652034 |
| labor organizations | 0.657981 |
| fatal work-related injuries | 0.84365 |
| Human Services | 0.762001 |
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| MMWR HTML versions | 0.770749 |
| U.S. Department | 0.755892 |
| media campaign | 0.651313 |
| electronic PDF version | 0.76011 |
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| national campaign | 0.660003 |
| trade associations | 0.654985 |
| Contact GPO | 0.675441 |
| commercial sources | 0.65091 |
| fall-related fatalities | 0.706215 |
| fall-related injuries | 0.71909 |
| construction sites | 0.695513 |
| current prices | 0.645408 |
| private industry | 0.656968 |
| self-employed workers | 0.841801 |
|
| original paper copy | 0.767035 |
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| United States | 0.824311 |
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| Safe construction | 0.688408 |
| construction sector | 0.681125 |
| MMWR readers | 0.655229 |
| Occupational Safety | 0.650565 |
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| format errors | 0.644044 |
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| preventable public health | 0.805131 |
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| non-CDC sites | 0.651524 |
| skilled workers | 0.685956 |
| fatal injuries | 0.698051 |
| national workforce | 0.671738 |
| sector construction workers | 0.853088 |
| electronic conversions | 0.640476 |
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HAN Archive - Investigational Drug Available Directly from CDC for the Treatment of Free-Living Ameba Infections |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| international organizations | 0.363353 |
| Disease Control | 0.365114 |
| miltefosine-containing regimen | 0.420333 |
| Network | 0.234022 |
| Zoonotic Infectious Diseases | 0.506912 |
| fatal infections | 0.484747 |
| clinicians | 0.26939 |
| Naegleria fowleri* | 0.432239 |
| gastrointestinal symptoms | 0.365921 |
| National Center | 0.363937 |
| Acanthamoeba species.§ | 0.411625 |
| Additional information | 0.588528 |
| healthy living | 0.357816 |
| Acanthamoeba species infections | 0.659864 |
| miltefosine-containing treatment regimen | 0.583364 |
| leishmaniasis | 0.235629 |
| free-living ameba | 0.395138 |
| access IND protocol | 0.536545 |
| survival advantage | 0.365141 |
| ET | 0.262009 |
| Environmental Diseases | 0.365601 |
| adverse effects | 0.365424 |
| FLA | 0.922484 |
| investigational drug | 0.411171 |
|
| CDC Health Alert | 0.759906 |
| United States | 0.732985 |
| primary amebic meningoencephalitis | 0.586188 |
| granulomatous amebic encephalitis | 0.589023 |
| Drug Administration | 0.706455 |
| Information section | 0.370619 |
| FLA infection | 0.713069 |
| vitro activity | 0.568 |
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| Food | 0.296369 |
| drugs | 0.292932 |
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| strong partnerships | 0.354082 |
| case reports | 0.368424 |
| CDC assistance | 0.547759 |
| Unpublished data | 0.365826 |
| fulminant Naegleria infections | 0.6699 |
| HANINFO-00354 | 0.234263 |
| CDC FLA expert | 0.890885 |
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Preventing Chronic Disease | Using Written Narratives in Public Health Practice: A Creative Writing Perspective - CDC |
Narratives have become an increasingly common health communication tool in recent years. Vivid, engaging writing can help audiences identify with storytellers and understand health messages, but few public health practitioners are trained to create such stories. A transdisciplinary perspective, informed by both creative writing advice and evidence-based public health practices, can help public health professionals use stories more effectively in their work. This article provides techniques for creating written narratives that communicate health information for chronic disease prevention. We guide public health professionals through the process of soliciting, writing, and revising such stories, and we discuss challenges and potential solutions. |
| Kreuter MW | 0.640839 |
| personal health information | 0.636476 |
| Public health interventions | 0.649417 |
| culturally sensitive narratives | 0.611009 |
| public health practitioners | 0.848527 |
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| Health Communication Research | 0.666097 |
| narratives | 0.723768 |
| health messages | 0.671529 |
| health behavior change | 0.616254 |
| Transdisciplinary public health | 0.62742 |
| common health communication | 0.680231 |
| success stories | 0.650345 |
| St Louis | 0.620556 |
| key health messages | 0.617991 |
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| health communication | 0.808087 |
| chronic disease | 0.610708 |
| Pilot testing stories | 0.612516 |
| health narratives | 0.704655 |
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| health-related narratives | 0.645877 |
| multiple stories | 0.614918 |
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| health communication interventions | 0.622319 |
| health behavior | 0.675687 |
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| public health | 0.984787 |
| African American women | 0.642062 |
| New York | 0.674242 |
| stories | 0.899768 |
| breast cancer | 0.709459 |
| narrative health communication | 0.676358 |
| effective stories | 0.629419 |
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| health professionals insights | 0.630975 |
| public health practices | 0.649931 |
| health communication tool | 0.680227 |
| Communication Research Laboratory | 0.616614 |
| et al | 0.613275 |
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| increasingly common health | 0.666827 |
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"Red Spots" among Flight Attendants |
CDC Centers for Disease Control and Prevention David J. Sencer CDC Museum |
| Chemical tests | 0.631256 |
| red spots | 0.981966 |
| reports | 0.534804 |
| demonstrators | 0.532278 |
| CDC | 0.528785 |
| Epi-Aid | 0.524166 |
| various Eastern Airlines | 0.774437 |
| skin | 0.523579 |
| necks | 0.532604 |
| Review | 0.522245 |
| occurrence | 0.520993 |
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| Epidemiology | 0.528271 |
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| molybdate orange pigment | 0.734331 |
| procedures | 0.541578 |
| close contact | 0.620598 |
| life vests | 0.695705 |
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| presence | 0.521863 |
| National Institute | 0.646139 |
| episodes | 0.52292 |
| cases | 0.522213 |
| oxygen mask | 0.657916 |
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| chrome | 0.522167 |
| bright red spots | 0.817942 |
| Health | 0.523679 |
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| Bacteriological tests | 0.659005 |
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| nausea | 0.532345 |
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| materials | 0.521996 |
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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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| materials assessment tool | 0.566073 |
| minimizes literacy demand | 0.502419 |
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| appropriate health literacy | 0.527166 |
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| 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 |
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| 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 |
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| average literacy level | 0.521202 |
| health departments | 0.494934 |
| National Adult Literacy | 0.504655 |
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| SCD | 0.569062 |
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| sickle cell | 0.633358 |
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| adult literacy skills | 0.524409 |
| literacy levels | 0.497731 |
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