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When Thunder Roars, Go Indoors! | CDC Features |
Learn how to protect you and your loved ones during a thunderstorm. |
| North Carolina | 0.408742 |
| electrical systems | 0.394308 |
| safety rules | 0.398556 |
| thunderstorms | 0.396645 |
| lightning injuries | 0.632604 |
| electronic equipment | 0.400809 |
| fluffy white clouds | 0.527654 |
| thunder | 0.439838 |
| Correct answer | 0.407463 |
| racquets | 0.326654 |
| trees | 0.320171 |
| Safety precautions | 0.499248 |
| lightning capital | 0.637477 |
| seasonal differences | 0.405165 |
| metal wires | 0.396883 |
| lightning deaths | 0.640353 |
| lightning | 0.933842 |
| greater risk | 0.408118 |
| cellular phones | 0.398756 |
| metal bench | 0.410677 |
| non-concrete shelter | 0.405315 |
| Florida | 0.339763 |
| television reception systems | 0.473001 |
| ground | 0.333579 |
| thunderstorm | 0.360643 |
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| tennis court | 0.418021 |
| weather-related fatalities | 0.417623 |
| main lightning safety | 0.707196 |
| non-concrete structure | 0.397691 |
| drive home | 0.413784 |
| United States | 0.406373 |
| concrete floors | 0.498227 |
| concrete walls | 0.39758 |
| head | 0.321487 |
| crouch | 0.320549 |
| electric currents | 0.402605 |
| outdoor recreational activities | 0.497127 |
| indoors | 0.441557 |
| lightning strikes | 0.726769 |
| lightning flash | 0.66835 |
| one-third | 0.322426 |
| New York | 0.408887 |
| storm | 0.337757 |
| weather forecast | 0.527385 |
| lightning-strike injuries | 0.403391 |
| slight chance | 0.424902 |
| people | 0.319425 |
| outdoors | 0.336698 |
| clap | 0.324909 |
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California Activities to Prevent HAIs |
null |
| Injection Safety | 0.80996 |
| Healthcare-associated Infections | 0.537592 |
| HAI Detection | 0.638358 |
| email address | 0.654673 |
| navigation Skip | 0.670637 |
| recent work | 0.656367 |
| Carbapenem-resistant Enterobacteriaceae | 0.537884 |
| Infection Prevention | 0.575724 |
| Appropriate Antibiotic | 0.551715 |
| Educational Efforts | 0.539193 |
| Hemodialysis Bloodstream Infections | 0.767331 |
| list Skip | 0.672252 |
|
| monthly update | 0.670373 |
| Antimicrobial Stewardship | 0.558894 |
| page options Skip | 0.800085 |
| Coordinated Prevention | 0.555385 |
| ELC HAI-funded Activities | 0.674324 |
| Infection Control Assessment | 0.672507 |
| Hemodialysis BSI Prevention | 0.801362 |
| infectious disease | 0.673109 |
| Antimicrobial Resistance | 0.565918 |
| Laboratory Capacity | 0.539007 |
| CRE | 0.440826 |
| HAI Prevention Infrastructure | 0.996039 |
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Centers for Disease Control and Prevention |
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National Vaccine Campaign - Diphtheria-Iditarod |
CDC Works For You 24/7 Saving Lives - Celebrating the Great Race of Mercy to Stop Diphtheria Outbreak in Alaska - Years ago, diphtheria wiped out entire communities, sometimes killing all the children in a family. This is the story of a famous event that galvanized people in the United States to begin to use diphtheria vaccine—which has virtually wiped out the once dreaded disease in this country.' |
| Great Race | 0.620258 |
| 1940s | 0.436192 |
| diphtheria antitoxin | 0.989109 |
| collective efforts | 0.596458 |
| Shannon | 0.439947 |
| pertussis | 0.446387 |
| tetanus | 0.44368 |
| lead dog | 0.617724 |
| trip | 0.439637 |
| temperatures | 0.441421 |
| Iditarod Trail Sled | 0.790657 |
| —the | 0.458649 |
| dogs | 0.439724 |
| outbreak | 0.555044 |
| national campaign | 0.744904 |
| hundreds | 0.468693 |
| mail carrier mushers | 0.878259 |
| deaths | 0.436917 |
| high coverage | 0.596923 |
| package | 0.475701 |
| journey | 0.438904 |
| Dog Race | 0.605368 |
| nearest station | 0.645652 |
| night | 0.436645 |
| diphtheria vaccination | 0.79463 |
|
| diphtheria vaccine | 0.921542 |
| dog drivers | 0.643476 |
| United States | 0.86864 |
| lifesaving race | 0.621528 |
| 50 degrees below | 0.614728 |
| Alaska | 0.471815 |
| possible solutions | 0.641533 |
| disease | 0.459969 |
| unbridled creativity | 0.604184 |
| Togo | 0.449538 |
| relay | 0.490898 |
| Balto | 0.453368 |
| fresh teams | 0.609677 |
| blizzards | 0.436615 |
| people | 0.493855 |
| 674-mile Nenana-to-Nome Trail | 0.835615 |
| whooping cough | 0.615477 |
| Territorial Governor Scott | 0.852977 |
| diphtheria cases | 0.797096 |
| infected children | 0.618321 |
| quarantine | 0.442704 |
| Bone | 0.43641 |
| Leonhard Seppala | 0.646787 |
| Gunner Kaasen | 0.631563 |
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PanFlu Storybook - In Memorial, Teofilia Rogowsky Grala |
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. |
| Stanislaw Grala | 0.58681 |
| Teofilia Rogowsky–Grala | 0.583542 |
| waiting | 0.352454 |
| father | 0.404151 |
| goodbye | 0.360208 |
| Teofilia′s burial site | 0.745731 |
| Teofilia′s death | 0.561969 |
| husband | 0.350608 |
| wife Michaeline | 0.542105 |
| burden | 0.357143 |
| sister–in–law | 0.346992 |
| Bronislawa | 0.348629 |
| New Britain | 0.572532 |
| children | 0.491284 |
| Storyteller | 0.356736 |
| aunt | 0.360176 |
| arrangements | 0.344439 |
| birth mother | 0.534279 |
| victims | 0.345266 |
| Bronislaw Grala | 0.746847 |
| Bernice | 0.706237 |
| toys | 0.347369 |
| common cause | 0.544351 |
| Domonik Rutkowski | 0.598447 |
|
| infant deaths | 0.553377 |
| baby son | 0.52672 |
| Judi Grala Heit | 0.903094 |
| neck | 0.346574 |
| people | 0.350637 |
| Francesca Grala | 0.586712 |
| room | 0.348947 |
| doctor | 0.348382 |
| death certificate | 0.765346 |
| Rogowski | 0.374367 |
| infectious disease | 0.54635 |
| Lorain | 0.360543 |
| doctors | 0.345641 |
| Connecticut | 0.347399 |
| Bronislaw | 0.795307 |
| Rutkowski family | 0.587211 |
| Teofilia′s newborn | 0.555557 |
| milk infection | 0.545568 |
| arms | 0.344192 |
| Ohio′s pandemic flu | 0.851717 |
| Stanislaw′s death certificate | 0.74719 |
| daughter | 0.348158 |
| child | 0.395426 |
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Stay Healthy and Safe in Hot Weather'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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Roadmap for Planning - Evaluate the Program and Report Results'State Resources'DHDSP'CDC |
null |
| Additional stakeholder | 0.614323 |
| entire grant | 0.59887 |
| IPR | 0.509644 |
| well-developed evaluation report | 0.79705 |
| objective progress notes | 0.935487 |
| Interim Progress Report | 0.981659 |
| progress reports | 0.722918 |
| pertinent stakeholders | 0.611999 |
| balance | 0.472254 |
| intervention objective | 0.597806 |
| specific evaluative processes | 0.768911 |
| Evaluation reports | 0.634617 |
| additional information | 0.590526 |
| documentation | 0.477842 |
| different results | 0.602007 |
| informal reports | 0.598112 |
| HDS Burden Document | 0.835854 |
| MIS | 0.626038 |
| outcome results | 0.777867 |
| Program Announcement. | 0.627558 |
| Evaluation activities | 0.642405 |
| lessons | 0.675806 |
| PDF–1M | 0.440867 |
| qualitative data | 0.6098 |
|
| work plan progress | 0.953535 |
| states | 0.516282 |
| example | 0.466727 |
| evaluation findings | 0.623061 |
| internal report | 0.607036 |
| intervention activities | 0.59 |
| different audiences | 0.577498 |
| HDSP performance expectations | 0.779065 |
| HDSP Management Information | 0.811957 |
| evaluation results | 0.932349 |
| program improvement | 0.572592 |
| good idea | 0.583192 |
| key issues— | 0.595728 |
| objectivity | 0.499799 |
| narrative sections | 0.598974 |
| interventions | 0.487963 |
| MIS. | 0.440524 |
| clarity | 0.485397 |
| partners | 0.547507 |
| End Report | 0.818675 |
| stakeholder feedback | 0.616685 |
| future efforts | 0.58906 |
| objectives | 0.479616 |
| different content | 0.580826 |
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Pandemic Flu Storybook: Charles Andrew Didio |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| younger sisters Lucy | 0.690819 |
| Carlandrea Didio | 0.470513 |
| United States | 0.473362 |
| paternal Great Grandfather | 0.763486 |
| document | 0.241249 |
| physical examination | 0.440585 |
| War | 0.242369 |
| Josephine’s birth | 0.492346 |
| Iron | 0.243972 |
| Villamaina | 0.246624 |
| World | 0.242383 |
| grandfather Frank | 0.500236 |
| Steve Didio | 0.492424 |
| New York City | 0.95877 |
| Pennsylvania area | 0.455807 |
| pneumonia | 0.251814 |
| great-grandfather chose | 0.517302 |
| Storyteller | 0.255875 |
| Stories | 0.243633 |
|
| future descendants | 0.439391 |
| immigrants | 0.254171 |
| wife Louisa | 0.755923 |
| family members | 0.452358 |
| maximum application | 0.440398 |
| Charles Andrew Didio | 0.688819 |
| influenza pandemic | 0.474842 |
| work | 0.244086 |
| electric furnace repairman | 0.715209 |
| young wife Louisa | 0.735029 |
| draft registration application | 0.658224 |
| death certificate | 0.67246 |
| size | 0.244887 |
| Easton | 0.249024 |
| Italy | 0.246595 |
| Steel Company | 0.460007 |
| true birthdate | 0.468758 |
| time | 0.245664 |
| age | 0.30557 |
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Colorectal Cancer |
Colorectal Cancer - Gateway to Health Communication - CDC |
| stool | 0.413431 |
| Types | 0.41021 |
| colorectal polyps | 0.607974 |
| abnormal growths | 0.523596 |
| cancer. Screening | 0.453468 |
| cancer-related deaths | 0.470777 |
| colorectal cancer screening | 0.601063 |
| Inflammatory Bowel Disease | 0.501959 |
| precancerous colorectal polyps | 0.603128 |
| fear | 0.419468 |
| colorectal cancer | 0.91213 |
| test | 0.410017 |
| weight | 0.410887 |
| symptoms | 0.435937 |
| aches | 0.415232 |
| colon cancer. | 0.452975 |
| tests | 0.430282 |
| Colitis increases risk | 0.502526 |
| cancers | 0.412726 |
| rectum. | 0.412014 |
| women | 0.475503 |
| early stages | 0.509478 |
| prep procedures | 0.454025 |
| cause | 0.410466 |
| Chrohn | 0.410502 |
|
| colonoscopy. | 0.410067 |
| US. | 0.411943 |
| common cancer | 0.46816 |
| U.S. | 0.411789 |
| hassle | 0.412119 |
| men | 0.475549 |
| colonoscopy | 0.41239 |
| stomach pains | 0.462746 |
| cases | 0.410984 |
| colorectal cancer. | 0.547842 |
| lifestyle risk factors | 0.494095 |
| Ulcerative | 0.412144 |
| highest rates | 0.452953 |
| people | 0.434141 |
| blood | 0.410942 |
| doctor. | 0.409978 |
| rectal cancer. | 0.491172 |
| doctor | 0.41009 |
| family history | 0.506905 |
| African-American men | 0.453802 |
| Lucy | 0.409993 |
| colorectal cancer increases | 0.611597 |
| cramps | 0.413406 |
| racial/ethnic groups. Rates | 0.498719 |
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The "Retrofitting" Approach to Adapting Evidence-BasedInterventions: A Case Study of Pediatric Asthma Care Coordination,United States, 2010-2014 |
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. |
| new practice settings | 0.775661 |
| EBI adaptation process | 0.82526 |
| asthma care coordinator | 0.722775 |
| certain program components | 0.754292 |
| asthma care coordination | 0.889215 |
| program | 0.837155 |
| neighborhood-based Addressing Asthma | 0.723999 |
| EBI implementation frameworks | 0.783546 |
| core program elements | 0.754024 |
| Unified School District | 0.845502 |
| Los Angeles Unified | 0.842086 |
| asthma care | 0.929406 |
| retrofitting | 0.771464 |
| EBI elements | 0.7871 |
| asthma intervention research | 0.750411 |
| YWC core components | 0.78878 |
| asthma care coordinators | 0.735031 |
| retrofitting elevates | 0.735403 |
| asthma control | 0.767942 |
| asthma-related outcomes | 0.725632 |
| retrofitting concept | 0.725188 |
| case study | 0.728847 |
| Philadelphia Asthma Care | 0.744118 |
| core components table | 0.735538 |
|
| program activities | 0.722498 |
| community health workers | 0.773297 |
| YWC components | 0.743181 |
| Puerto Rico | 0.756827 |
| Public Health | 0.729004 |
| EBI design | 0.748809 |
| intervention components | 0.731748 |
| EBI components | 0.920402 |
| technical support | 0.715409 |
| select EBI components | 0.814318 |
| pediatric asthma care | 0.818346 |
| EBI pipeline | 0.738404 |
| District Asthma Program | 0.767075 |
| Childhood Asthma Network | 0.843523 |
| Angeles Unified School | 0.843398 |
| core components | 0.94439 |
| significant retrofitting | 0.726454 |
| services | 0.75328 |
| asthma action plans | 0.726217 |
| retrofitting phenomenon | 0.730577 |
| Merck Childhood Asthma | 0.842134 |
| Asthma Control Program | 0.766166 |
| new model program | 0.721873 |
| cross-site evaluation | 0.794253 |
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Requirements for CDC Recognition| Diabetes |
National Diabetes Prevention Program |
| data | 0.325349 |
| CDC-approved curriculum | 0.458239 |
| high quality | 0.474083 |
| diabetes prevention lifestyle | 0.683165 |
| skills | 0.324896 |
| CDC standards | 0.681185 |
| in-person | 0.338879 |
| Capacity | 0.326787 |
| gestational diabetes | 0.466681 |
| lifestyle program | 0.507149 |
| Application Form | 0.44548 |
| online lifestyle change | 0.668806 |
| blood testing | 0.440749 |
| CDC Recognition Program | 0.728316 |
| participants | 0.40713 |
| Ability | 0.358541 |
| Operating Procedures | 0.438166 |
| sessions | 0.34515 |
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| Email dprpAsk | 0.447022 |
| coordinator | 0.329501 |
| cdc recognition | 0.97879 |
| approval | 0.33127 |
| prediabetes | 0.32411 |
| impact | 0.329743 |
| confidence | 0.327903 |
| weight loss | 0.447726 |
| commitment | 0.328518 |
| lifestyle change program | 0.914277 |
| lifestyle coaches | 0.495118 |
| permission | 0.332935 |
| history | 0.324023 |
| physical activity—every | 0.447466 |
| lasting lifestyle changes | 0.619942 |
| organization | 0.355937 |
| organizations | 0.329669 |
| diabetes prevention program | 0.577123 |
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