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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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| stormy weather | 0.482891 |
| kinds | 0.327337 |
| emergency supplies | 0.432898 |
| type | 0.326031 |
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| Mark Twain | 0.46169 |
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| sense | 0.326026 |
| experience thunderstorms | 0.553618 |
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| time | 0.444297 |
| moist air collides | 0.600109 |
| region | 0.328292 |
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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 |
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| human exposure | 0.467085 |
| freshwater lakes | 0.453389 |
| water sampling results | 0.469444 |
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| 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 |
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| recreational water exposure | 0.649437 |
| true exposure route | 0.52072 |
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| harmful algal blooms | 0.766428 |
| public health | 0.482016 |
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| cyanobacteria blooms | 0.454763 |
| ingestion exposure | 0.488661 |
| outbreak surveillance | 0.455418 |
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| 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 |
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| Marginal iodide deficiency | 0.785947 |
| ACE-27 comorbidity index | 0.792835 |
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| CDC Science Clips | 0.949152 |
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| 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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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 |
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| 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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Pandemic Flu Storybook - Stories, Table of Contents |
The Centers for Disease Control and Prevention’s Pandemic Flu Storybook provides readers with an intimate look at the impact pandemic flu events have had on both survivors and the families and friends of non-survivors. The stories within the pages of this book are not folklore, but personal recollections from the 1918 and 1957 events. This collection of stories was first released online in 2008 to commemorate the 90th anniversary of the 1918 flu pandemic. The 1918 flu pandemic occurred towards the end of World War I. Despite the intensity of that global conflict, more people died during the flu pandemic than were killed during the entire war. The death toll from the flu was an estimated 50–100 million worldwide; in the United States, about 675,000 died. The 1957 flu pandemic killed 1–2 million worldwide and caused approximately 70,000 deaths in the United States. |
| MPEG | 0.741242 |
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Centers for Disease Control and Prevention |
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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 |
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| 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 |
| enhances health decisions | 0.499061 |
| B. mandrillaris | 0.392105 |
| FLA infections | 0.757937 |
| critical health issues | 0.501831 |
| credible information | 0.377033 |
| timely treatment | 0.389179 |
| Food | 0.296369 |
| drugs | 0.292932 |
| single-patient emergency | 0.377565 |
| 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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"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 |
| standard work practices | 0.735084 |
| Epidemiology | 0.528271 |
| Occupational Safety | 0.645007 |
| Airline personnel | 0.636104 |
| demonstrations | 0.520682 |
| clinical specimens | 0.6364 |
| red ink areas | 0.747367 |
| molybdate orange pigment | 0.734331 |
| procedures | 0.541578 |
| close contact | 0.620598 |
| life vests | 0.695705 |
|
| presence | 0.521863 |
| National Institute | 0.646139 |
| episodes | 0.52292 |
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| chrome | 0.522167 |
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| Eastern Airlines planes | 0.734851 |
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Preventing Chronic Disease | SaludABLEOmaha: Improving Readiness to Address Obesity Through Healthy Lifestyle in a Midwestern Latino Community, 2011"2013 - CDC |
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 on the very latest in chronic disease prevention, research findings, public health interventions, and the exploration of new theories and concepts.
|
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| social marketing | 0.563504 |
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| SaludABLEOmaha | 0.383775 |
| business engagement | 0.325219 |
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| social media | 0.639821 |
| south omaha community | 0.392472 |
| Community Context | 0.254903 |
| readiness levels | 0.272006 |
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| community readiness dimensions | 0.359 |
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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 |
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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. |
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| health literacy | 0.930777 |
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