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PanFlu Storybook - In Memorial, Otey VanDenburah Gilmar |
In Memorial, To date, October 1918 remains the deadliest month in U.S. history when approximately 200,000 Americans died of the flu. Healthy, young adults (average age 35 years) began coughing in the morning and were dead by the evening. The family stories described in this section define true courage amid unbearable loss. |
| pandemic flu | 0.641805 |
| Pittsylvania County | 0.629242 |
| Otey VanDenburah Gilmar | 0.946333 |
| father | 0.435644 |
| training | 0.42788 |
| girls | 0.429555 |
| Grace Fitzgerald | 0.620379 |
| mother | 0.435506 |
| tobacco farmer | 0.605282 |
| Thomas Jones Fitzgerald | 0.776661 |
| Storyteller | 0.450825 |
| Cary Perkins | 0.655401 |
| Chatham | 0.44517 |
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| Grace′s death | 0.572792 |
| Frank Augustus VanDenburah | 0.768627 |
| families | 0.429256 |
| Cary G. Smith | 0.835635 |
| cousin | 0.450259 |
| nurses | 0.435897 |
| money | 0.42787 |
| nursing school | 0.57223 |
| Hattie VanDenburah | 0.609113 |
| family | 0.429864 |
| Virginia | 0.515107 |
| daughter | 0.501057 |
| Location | 0.435126 |
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PanFlu Storybook - Finding A Cure, Sadie Afraid of His Horses-Janis |
Finding A Cure, One of the most important challenges, for health communicators today, is helping the public to understand that a flu shot will not be readily available when the next pandemic strikes. Once the virus is identified, it will take several months to produce a vaccine. In 1918, in desperation, people tried a variety of methods to cure the sick —some practical and effective, others questionable and even amusing. |
| Sadie Afraid | 0.567346 |
| 1918 flu pandemic | 0.581589 |
| cousin Edgar | 0.412807 |
| sweet grass | 0.485277 |
| Poor Elk–Red Cloud | 0.575992 |
| cousin Nancy | 0.460837 |
| flat cedar | 0.492088 |
| Red Cloud | 0.979346 |
| Pine Ridge | 0.719573 |
| Pine Ridge Indian | 0.514573 |
| white kerosene | 0.425634 |
| members | 0.40611 |
| Sadie′s father | 0.511983 |
| Sadie′s brother Paul | 0.484543 |
| influential Sioux leaders | 0.514871 |
| husband Joe Hand | 0.503965 |
| Denver Broncos football | 0.481386 |
| flat cedar tea | 0.476757 |
| Red Cloud family | 0.884258 |
| Alice Red Cloud | 0.579235 |
| Jack Red Cloud | 0.604758 |
| Sadie′s grandmother | 0.476898 |
| five–day journey | 0.413714 |
| personal items | 0.5024 |
| cousin depart | 0.421631 |
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| Spud Pickin | 0.416474 |
| Sadie′s sister | 0.416746 |
| Young Man Afraid | 0.536132 |
| grandmother Sadie | 0.641509 |
| Nancy | 0.504139 |
| Nancy′s family | 0.451972 |
| Sallie Black Bear | 0.509768 |
| Sadie′s siblings Zona | 0.536892 |
| bad sickness | 0.502386 |
| economic venture | 0.408012 |
| real bad sickness | 0.498968 |
| Alliance | 0.419217 |
| parents Lucy | 0.409981 |
| Susie Red Cloud–Hand | 0.533545 |
| elderly grandmother′s wagon | 0.503617 |
| South Dakota | 0.535679 |
| wagon box | 0.418302 |
| Sadie | 0.667503 |
| Short Bull | 0.421446 |
| home | 0.437662 |
| Frank Afraid | 0.439841 |
| oldest children | 0.410184 |
| drizzling rain | 0.40577 |
| Edgar Red Cloud | 0.580469 |
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Realización de una encuesta estatal sobre exámenes de salud: la Encuesta de Exámenes de Salud Cardiovascular de Arkansas (ARCHES). |
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| Salud Cardiovascular | 0.928984 |
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Centers for Disease Control and Prevention |
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CDC Global Health - Stories - People on the Move: Reaching Mobile Workers in the Dominican Republic |
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| construction workers | 0.768191 |
| early results | 0.592353 |
| Ministry | 0.556196 |
| national surveillance | 0.582414 |
| so-called mobile workers | 0.705322 |
| truck drivers | 0.599232 |
| farm | 0.532751 |
| street vendors | 0.595941 |
| lay health educators | 0.680902 |
| health emergencies | 0.598444 |
| data shows | 0.597975 |
| seasonal work | 0.607569 |
| testing | 0.532724 |
| public health officials | 0.705149 |
| construction sites | 0.595429 |
| farms | 0.534662 |
| intimate knowledge | 0.593229 |
| highest priorities | 0.588825 |
| larger effort | 0.585311 |
| pregnant mothers | 0.584922 |
| precise size | 0.598042 |
| new cases | 0.586045 |
| impressive results | 0.605947 |
| HIV/AIDs | 0.554601 |
| condoms | 0.519402 |
|
| mobile populations | 0.588513 |
| general population | 0.604071 |
| local community | 0.593826 |
| HHS | 0.519811 |
| promotores | 0.531678 |
| sexually transmitted infections | 0.655258 |
| mobile population | 0.606673 |
| CDC’s country | 0.637036 |
| adult HIV | 0.61406 |
| sugar cane plantations | 0.693907 |
| prevention methods | 0.588969 |
| health care workers | 0.680568 |
| social stigma | 0.593767 |
| additional benefits | 0.589167 |
| counseling | 0.532724 |
| hard-to-find population | 0.6261 |
| mobile health units | 0.685596 |
| people | 0.602777 |
| transient workers | 0.603288 |
| laborers | 0.521092 |
| small group interventions | 0.666233 |
| non-governmental agencies | 0.59664 |
| non-federal site | 0.592186 |
| Dominican Republic | 0.949453 |
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CDC study shows that child passenger deaths have decreased 43 percent from 2002 - 2011 | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Rear-facing car seat | 0.643522 |
| seat belt fit | 0.629552 |
| car seat | 0.914738 |
| Mortality Weekly Report | 0.410411 |
| booster seat age | 0.714808 |
| forward-facing car seat | 0.689903 |
| CDC’s National | 0.379537 |
| Daniel M. Sosin | 0.418387 |
| upper weight | 0.403703 |
| booster seat | 0.981329 |
| best way | 0.370481 |
| Child Passenger Safety | 0.420285 |
| motor-vehicle occupant deaths | 0.433907 |
| Disease Control | 0.369926 |
| children | 0.528128 |
| CDC journal Morbidity | 0.424239 |
| Fatality Analysis Reporting | 0.420903 |
| health care-associated infections | 0.405183 |
| size-appropriate car seats | 0.456688 |
| height limit | 0.408673 |
| Child passenger restraint | 0.519385 |
| CDC Director Tom | 0.445668 |
| new Vital Signs | 0.428257 |
| booster seats | 0.535459 |
| car seats | 0.541931 |
|
| child rides | 0.3755 |
| seat | 0.992451 |
| child deaths | 0.388521 |
| required car seat | 0.655941 |
| seat belts | 0.863151 |
| parents | 0.377643 |
| size-appropriate child restraints | 0.547269 |
| passenger restraint laws | 0.520437 |
| motor vehicle crash | 0.519729 |
| motor vehicle | 0.622121 |
| percent | 0.367724 |
| white children | 0.396096 |
| forward-facing seat | 0.568344 |
| prescription drug overdose | 0.40503 |
| vehicle crash deaths | 0.448697 |
| Traffic Safety Administration | 0.422313 |
| key health indicators | 0.405762 |
| motor vehicle passenger | 0.41349 |
| seat give-away programs | 0.603701 |
| Vital Signs report | 0.534843 |
| motor vehicle deaths | 0.422087 |
| age-and size-appropriate child | 0.430093 |
| seat belt | 0.681719 |
| rear-facing seat | 0.598069 |
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NER - Peer-Reviewed Biomonitoring Articles | (PCBs), and Organochlorine Pesticides |
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| MPEG | 0.378858 |
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| DOC | 0.368812 |
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Ebola Virus Disease - Healthcare Workers - NIOSH Workplace Safety & Health Topic |
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| Ebola Healthcare Workers | 0.674713 |
| Suspected Ebola Virus | 0.550364 |
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| CDC Safety Training | 0.295069 |
| PPE Selection Matrix | 0.322201 |
| Confirmed Ebola | 0.52519 |
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| Doffing PPE | 0.31615 |
| Fighting Ebola | 0.504095 |
| Handling Patient Specimens | 0.287605 |
| Cal/OSHA Interim Guidance | 0.353772 |
| Protective Equipment Training | 0.343754 |
| Healthcare Workers Providing | 0.316283 |
| Wearing Personal Protective | 0.328814 |
| personal protective equipment | 0.961602 |
| Virus Disease Screening | 0.312477 |
| Interim NIOSH Training | 0.327 |
| Ebola Patients | 0.498085 |
| NIOSH-OSHA Fact Sheet | 0.2863 |
| Specimen Collection | 0.288086 |
| Safety Answering Points | 0.339151 |
| 9-1-1 Public Safety | 0.339974 |
| OSHA Fact Sheet | 0.29414 |
| Medical Waste Management | 0.301233 |
| Medscape Ebola video | 0.549729 |
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| potentially infectious materials | 0.294964 |
| Human Remains | 0.286598 |
| CDC Ebola Healthcare | 0.623285 |
| Emergency Department Evaluation | 0.293099 |
| Interim Guidance Regarding | 0.344334 |
| Ebola Preparedness | 0.615487 |
| U.S. Healthcare Settings | 0.319763 |
| Ebola Virus Disease | 0.582911 |
| Air Medical Transport | 0.292343 |
| Ebola Outbreak | 0.543802 |
| Respiratory Protection | 0.294675 |
| U.S Healthcare Facilities | 0.312853 |
| Fact Sheet | 0.337911 |
| Ambulatory Care Evaluation | 0.287097 |
| Interim Guidance | 0.413677 |
| OSHA/NIOSH/EPA Fact Sheet | 0.287934 |
| Doffing Personal Protective | 0.374964 |
| Public Safety Answering | 0.339176 |
| NIOSH Science Blog | 0.306814 |
| Contain Ebola | 0.474684 |
| Safe Handling | 0.332702 |
| Ebola Virus | 0.774288 |
| Concern About Ebola | 0.476749 |
| Healthcare Workers Going | 0.314574 |
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Invasive Cancer Incidence and Survival - United States,2011 |
S. Jane Henley, MSPH1, Simple D. Singh, MD1, Jessica King, MPH1, Reda Wilson, MPH1, Mary Elizabeth O'Neil, MPH1, A. |
| S. Jane Henley | 0.436997 |
| female breast cancer | 0.417507 |
| data | 0.462502 |
| skin cancer prevention | 0.412248 |
| melanoma incidence rates | 0.419902 |
| high cancer incidence | 0.483708 |
| invasive cancers | 0.451353 |
| relative survival rate | 0.441842 |
| lung cancer | 0.439808 |
| Central Cancer Registry | 0.443584 |
| U.S. Cancer Statistics | 0.441334 |
| cancer incidence rates | 0.797113 |
| white persons | 0.415513 |
| cancer control programs | 0.429143 |
| 5-year relative survival | 0.650422 |
| colorectal cancer | 0.48419 |
| state-specific cancer incidence | 0.463685 |
| cancer diagnosis | 0.454271 |
| annual incidence | 0.468862 |
| persons | 0.510427 |
| cancer survivors | 0.461452 |
| cancers | 0.47476 |
| relative survival rates | 0.448827 |
| cervical cancer incidence | 0.519944 |
| Puerto Rico | 0.52545 |
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| common cancer sites | 0.414762 |
| cancer prevention | 0.42361 |
| regional cancer registry | 0.412603 |
| United States | 0.546876 |
| cancer registry data | 0.453289 |
| site-specific cancer incidence | 0.469328 |
| cancer incidence rate | 0.468334 |
| cancer registries | 0.483454 |
| population-based cancer registries | 0.429544 |
| Annual incidence rates | 0.435672 |
| cell skin cancers | 0.411863 |
| National Cancer Institute | 0.444694 |
| annual incidence rate | 0.432445 |
| cancer surveillance data | 0.427429 |
| Healthy People | 0.456105 |
| colorectal cancer incidence | 0.46885 |
| black persons | 0.444654 |
| cancer survival rates | 0.460136 |
| USCS publication criteria | 0.448879 |
| central cancer registries | 0.42389 |
| breast cancer | 0.436804 |
| national cancer objectives | 0.414974 |
| age-adjusted annual incidence | 0.420147 |
| prostate cancer | 0.441407 |
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Estimated Lifetime Medical and Work-Loss Costs of EmergencyDepartment-Treated Nonfatal Injuries - United States, 2013 |
Curtis Florence, PhD1; Tamara Haegerich, PhD2; Thomas Simon, PhD3; Chao Zhou, PhD1; Feijun Luo, PhD1. |
| lifetime cost estimates | 0.29711 |
| fall injuries | 0.381454 |
| ED-treated nonfatal injury | 0.394381 |
| injuries | 0.992724 |
| age-specific injury rates | 0.316027 |
| ED-treated injuries | 0.58275 |
| lifetime costs | 0.466102 |
| substantial costs | 0.391462 |
| Total estimated costs | 0.435401 |
| additional costs | 0.38435 |
| unintentional injuries | 0.606244 |
| violence-related injuries | 0.37587 |
| violent injuries | 0.422647 |
| average costs | 0.40746 |
| considerable societal costs | 0.405216 |
| self-harm costs | 0.47554 |
| National Electronic Injury | 0.317534 |
| total estimated lifetime | 0.293354 |
| medical care costs | 0.435745 |
| System–All Injury Program | 0.314598 |
| Unintentional Injury Prevention | 0.321817 |
| age groups | 0.320775 |
| fatal injury costs | 0.645531 |
| substantial work-loss costs | 0.430733 |
| motor vehicle–related injuries | 0.406041 |
|
| higher work-loss costs | 0.434111 |
| work-loss costs | 0.777151 |
| transportation-related injuries | 0.427977 |
| nonfatal injury reports | 0.394671 |
| firearm-related injuries | 0.387794 |
| Web-Based Injury Statistics | 0.314777 |
| self-harm injuries | 0.518397 |
| lifetime work-loss costs | 0.54495 |
| ED-treated nonfatal injuries | 0.69503 |
| Assault injuries | 0.435603 |
| U.S. Census Bureau | 0.325947 |
| intentional injuries | 0.390807 |
| total costs | 0.454983 |
| health care | 0.31059 |
| costs | 0.956225 |
| total lifetime work-loss | 0.311427 |
| ED-treated injury costs | 0.458873 |
| large share | 0.352409 |
| medical costs | 0.508658 |
| nonfatal injuries | 0.944243 |
| nonfatal injury costs | 0.641279 |
| motor vehicle crashes | 0.330994 |
| primarily motor vehicle | 0.330241 |
| hospital costs | 0.406314 |
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Pregnant? Get vaccinated. |
Learn about the vaccines you will need before and during your pregnancy to help protect yourself and your newest family member from serious diseases. |
| newest family member | 0.374775 |
| CDC | 0.237576 |
| half | 0.233362 |
| American Academy | 0.291636 |
| evidence | 0.231915 |
| data | 0.229718 |
| Nurse midwives | 0.293984 |
| body | 0.235728 |
| time period | 0.274086 |
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| pregnant women | 0.524479 |
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| pregnancy | 0.572663 |
| early life | 0.275835 |
| trimester | 0.240888 |
| baby girl | 0.287013 |
| high risk | 0.277574 |
| Flu activity | 0.398605 |
| professional medical groups | 0.372858 |
| trimesters | 0.21909 |
| whooping cough vaccine | 0.735486 |
|
| short-term protection | 0.274391 |
| flu vaccine | 0.631063 |
| immunity | 0.218332 |
| flu-related hospitalizations | 0.292065 |
| flu shots | 0.43568 |
| flu protection | 0.403522 |
| vaccine viruses | 0.3211 |
| seasonal flu outbreaks | 0.459324 |
| American College | 0.291566 |
| pregnancy complications | 0.327403 |
| current flu season | 0.490853 |
| preterm delivery | 0.366787 |
| birth weight | 0.27401 |
| complications | 0.335864 |
| lung functions | 0.284487 |
| birth defects | 0.282727 |
| flu | 0.757668 |
| doctor | 0.240358 |
| whooping cough | 0.95139 |
| flu shot | 0.560761 |
| healthy pregnancy | 0.29809 |
| illness milder | 0.284533 |
| baby | 0.459484 |
| risk | 0.299425 |
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