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Twitter Chat: Preparedness Month |
Are you a clinician or healthcare provider and have questions on how to prepare for the possibility of caring for a patient with #Ebola? Join CDC experts for a live Twitter chat tomorrow, August 8th from 2–3 p.m. ET. Follow @CDCgov on Twitter, and use the hashtag #CDCchat to participate in the chat. |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Deep Vein Thrombosis A Blood Clot Forming in a Vein - CDC Features |
March is deep vein thrombosis (DVT) awareness month. About 300,000 to 600,000 people are newly affected by DVT each year in the United States. Read about one woman's experience with DVT. |
| CDC.gov Current Features | 0.906892 |
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Outbreak of Campylobacteriosis Associated with aLong-Distance Obstacle Adventure Race - Nevada, October2012 |
Mariah Zeigler, DVM1, Chad Claar, MPH1, Daviesha Rice, MPH1, Jack Davis, PhD1, Tammy Frazier1, Alex Turner1, Corinna Kelley1, Jonathan Capps1, Andrea Kent1, Valerie Hubbard1, Christiana Ritenour1, Cristina Tuscano1, Zuwen Qiu-Shultz, MPH2, Collette Fitzgerald Leaumont, PhD3 (Author affiliations at end of text). |
| Public health agencies | 0.364223 |
| muddy surface water | 0.606635 |
| stool specimens | 0.410761 |
| contaminated surface water | 0.369862 |
| adventure races | 0.430001 |
| surface water exposure | 0.36153 |
| obstacle adventure race | 0.823161 |
| Campylobacter infection | 0.42235 |
| case-control study | 0.418041 |
| Nellis Public Health | 0.941982 |
| inadvertent ingestion | 0.397256 |
| hemorrhagic diarrhea | 0.345863 |
| commercial obstacle adventure | 0.347049 |
| statistically significant association | 0.38552 |
| race organizers | 0.357814 |
| clinical staff members | 0.394072 |
| fecally contaminated water | 0.347496 |
| adventure race events | 0.337785 |
| C. coli | 0.574547 |
| environmental water exposure | 0.341635 |
| diarrhea | 0.348506 |
| Campylobacter jejuni | 0.343071 |
| surface water | 0.782831 |
| Campylobacter coli infection | 0.540824 |
| Southern Nevada Health | 0.487742 |
|
| Public Health Laboratory | 0.350537 |
| muddy water | 0.336849 |
| United States | 0.340305 |
| Campylobacter coli | 0.609619 |
| Nevada Health District | 0.487728 |
| Air Force Base | 0.497262 |
| public health professionals | 0.341196 |
| drinking water | 0.364158 |
| contaminated water | 0.36247 |
| public health | 0.971661 |
| adventure race organizers | 0.355171 |
| Public Health Action | 0.344242 |
| muddy obstacle adventure | 0.361271 |
| obstacle adventure races | 0.425085 |
| Nellis community | 0.357898 |
| inadvertent swallowing | 0.380334 |
| hippurate-negative Campylobacter | 0.354517 |
| obstacle adventure course | 0.418974 |
| long-distance obstacle adventure | 0.604391 |
| Base Public Health | 0.371914 |
| Campylobacter outbreaks | 0.381839 |
| C. coli infection | 0.349262 |
| Campylobacter organisms | 0.34577 |
| Nellis Air Force | 0.402484 |
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Measles - United States, January 1-May 23, 2014 |
Paul A. Gastañaduy, MD1, Susan B. Redd1, Amy Parker Fiebelkorn, MSN1, Jennifer S. |
| large measles outbreaks | 0.384049 |
| measles importations | 0.394466 |
| measles virus genotypes | 0.398404 |
| United States | 0.652612 |
| measles acquisition | 0.372329 |
| health-care providers | 0.28884 |
| measles vaccination | 0.411008 |
| measles elimination | 0.470843 |
| measles cases | 0.913465 |
| New York City | 0.221991 |
| measles incidence | 0.352513 |
|
| infection control measures | 0.217153 |
| unvaccinated persons | 0.208166 |
| secondary measles cases | 0.478132 |
| Paul A. GastaУБaduy | 0.232996 |
| Forty-five direct importations | 0.21393 |
| high measles vaccination | 0.399412 |
| measles deaths | 0.352846 |
| measles circulation | 0.340656 |
| appropriate infection control | 0.217106 |
| national measles data | 0.439879 |
| local health departments | 0.285843 |
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PanFlu Storybook - In Memorial, Thomas Langan |
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. |
| CDC | 0.274894 |
| family story | 0.388456 |
| brothers | 0.23646 |
| grandfather Thomas Langan | 0.734175 |
| emergency risk communication | 0.559324 |
| home remedy | 0.645705 |
| mother | 0.267007 |
| loss | 0.233538 |
| Disease Control | 0.401253 |
| Barbara Reynolds | 0.441669 |
| children | 0.271202 |
| flour | 0.241274 |
| Ph | 0.242928 |
| deaths | 0.235045 |
| communication course | 0.576271 |
| influenza pandemic | 0.662203 |
| main sources | 0.423668 |
| Cedar Rapids cemetery | 0.589892 |
| remedies | 0.23467 |
| William | 0.343437 |
| great grandfather | 0.424039 |
| David | 0.312568 |
| personal tragedy | 0.413031 |
| pandemic flu | 0.817586 |
| Centers | 0.233572 |
|
| course book | 0.39468 |
| family′s story | 0.396616 |
| Edward | 0.273888 |
| community mitigation measures | 0.557158 |
| Nebraska | 0.282634 |
| pandemic influenza | 0.95324 |
| preparations | 0.23854 |
| hushed tones | 0.417037 |
| Storyteller | 0.242009 |
| funerals | 0.235977 |
| Cedar Rapids | 0.826422 |
| Dorothy Langan | 0.442095 |
| pandemic events | 0.586053 |
| public health | 0.395751 |
| illness | 0.273447 |
| reminder | 0.236276 |
| pandemic influenza crisis | 0.83119 |
| local media | 0.413211 |
| people | 0.259629 |
| small farming community | 0.610476 |
| Vicks® vapor rub | 0.607733 |
| large monument stands | 0.564566 |
| wife Carrie | 0.467008 |
| river | 0.237161 |
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Lightning Strike Victim Data | Lightning |
CDC provides lightning strikes victim data, the odds of getting struck are low but some factors can put you at greater risk including regional, seasonal, and occupational differences. |
| average | 0.25313 |
| list Skip | 0.72381 |
| United States | 0.42455 |
| page options Skip | 0.942919 |
| mold | 0.252047 |
| thunder | 0.255266 |
| insects | 0.249259 |
| navigation Skip | 0.731772 |
| disaster | 0.244593 |
| lightning strike injuries | 0.791929 |
| times | 0.241753 |
|
| Illnesses | 0.252101 |
| cleanup | 0.258289 |
| earth | 0.241937 |
| carbon monoxide poisoning | 0.650553 |
| environmental concerns | 0.425608 |
| warning | 0.257512 |
| consequences | 0.256428 |
| risk | 0.239677 |
| animals | 0.237091 |
| family | 0.242511 |
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HAN Archive - 00323 - Shiga Toxin-producing E. coli O104 (STEC O104:H4) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| measles case-patients | 0.566157 |
| Measles Vaccination website | 0.615024 |
| measles vaccines | 0.557312 |
| measles immunity | 0.560879 |
| CDC. Measles–United States | 0.413799 |
| unvaccinated visitors | 0.372515 |
| large outbreaks | 0.450611 |
| PM EST | 0.376914 |
| Disease Control | 0.360799 |
| CDC Expert Commentary | 0.431334 |
| measles-endemic countries | 0.369729 |
| MMR vaccine* | 0.398575 |
| Measles Outbreak–Hennepin County | 0.599906 |
| clinically compatible symptoms | 0.415402 |
| high number | 0.373583 |
| CDC. Measles | 0.555476 |
| severe health complications | 0.423901 |
| public health response | 0.53119 |
| high measles vaccine | 0.670873 |
| U.S. Residents Aged | 0.408338 |
| febrile rash illness | 0.525307 |
| 2-dose measles vaccine | 0.675507 |
| CDC Health Alert | 0.469095 |
| acute viral illness | 0.416757 |
|
| appropriate public health | 0.426636 |
| doses | 0.363377 |
| United States | 0.652581 |
| measles cases | 0.685621 |
| enhances health decisions | 0.415897 |
| MMRV vaccine | 0.427493 |
| prompt public health | 0.423556 |
| critical health issues | 0.418546 |
| credible information | 0.361044 |
| physician-diagnosed measles | 0.55645 |
| incubation period | 0.363181 |
| undocumented vaccination status | 0.432418 |
| ongoing risk | 0.363426 |
| local health departments | 0.419062 |
| measles vaccine coverage | 0.787241 |
| measles virus vaccine | 0.636197 |
| international travel | 0.37446 |
| United Kingdom | 0.371828 |
| infected person | 0.415063 |
| total case-patients | 0.368518 |
| atypical rash | 0.389466 |
| rash onset | 0.387843 |
| measles | 0.901994 |
| unvaccinated u.s. residents | 0.525445 |
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Preventing Chronic Disease | Oral Health Conditions and Dental Visits Among Pregnant and Nonpregnant Women of Childbearing Age in the United States, National Health and Nutrition Examination Survey, 1999"2004 - CDC |
Oral diseases can be prevented or improved with regular dental visits. Our objective was to assess and compare national estimates on self-reported oral health conditions and dental visits among pregnant women and nonpregnant women of childbearing age by using data from the National Health and Nutrition Examination Survey (NHANES). |
| pregnancy status | 0.231673 |
| high school | 0.219355 |
| pregnant women | 0.809023 |
| dental visit | 0.271293 |
| federal poverty level | 0.217694 |
| nonpregnant women | 0.94168 |
|
| family income | 0.326316 |
| dental care | 0.205235 |
| dental visits | 0.310508 |
| oral health | 0.660896 |
| self-reported oral health | 0.359024 |
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The Built Environment Assessment Tool Manual | Division of Community Health (DCH) | CDC |
The built environment includes the physical makeup of where we live, learn, work, and play—our homes, schools, businesses, streets and sidewalks, open spaces, and transportation options. |
| transportation options | 0.566143 |
| streets | 0.348495 |
| pedestrian environment | 0.558641 |
| data collectors | 0.516538 |
| evaluators | 0.361946 |
| questions | 0.338993 |
| Tool Manual | 0.532892 |
| Users | 0.339033 |
| Walkability—for example | 0.529066 |
| traffic control | 0.536112 |
| outcomes | 0.346086 |
| health behaviors | 0.559809 |
| businesses | 0.346996 |
| environment infrastructure—such | 0.565879 |
| nutrition environment | 0.553474 |
| core features | 0.542449 |
| road types | 0.530768 |
| attractive sidewalks | 0.565794 |
| individual behaviors | 0.570895 |
| work | 0.347119 |
| play—our homes | 0.574773 |
| healthy eating | 0.546335 |
| open spaces | 0.57077 |
| grocery stores | 0.526669 |
| intersections | 0.351621 |
|
| tool | 0.595578 |
| Appendix | 0.403025 |
| sections | 0.339228 |
| public transportation | 0.529502 |
| schools | 0.347027 |
| paths | 0.340086 |
| physical makeup | 0.567358 |
| curb cuts | 0.550654 |
| access | 0.38071 |
| convenience stores | 0.527092 |
| importance | 0.343402 |
| overall community health | 0.753323 |
| farmers markets | 0.527757 |
| tools | 0.342615 |
| ramps | 0.346766 |
| aspect | 0.339074 |
| street segments | 0.523973 |
| Food environment—such | 0.5308 |
| Built Environment Assessment | 0.798686 |
| wide array | 0.545065 |
| crosswalks | 0.340477 |
| physical activity | 0.768397 |
| Community program staff | 0.758734 |
| environment | 0.914382 |
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Using the CDC Worksite Health ScoreCard | CDC Features |
Use this free, online tool to measure the health of your workforce, and evaluate workplace efforts to help employees improve their health.
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| health promotion | 0.901931 |
| worksites | 0.211458 |
| health promotion strategies | 0.368538 |
| Worksite Health ScoreCard | 0.712999 |
| health promotion intervention | 0.32115 |
| CDC workplace health | 0.357779 |
| low out-of-pocket costs | 0.574789 |
| health promotion resources | 0.342449 |
| healthy lifestyle changes | 0.276095 |
| worksite health promotion | 0.498691 |
| health promotion programs | 0.56392 |
| employers | 0.269264 |
| social environmental changes | 0.295126 |
|
| worksite programs | 0.27217 |
| comprehensive workplace health | 0.329091 |
| off-site exercise facilities | 0.268109 |
| workplace health promotion | 0.836793 |
| employee health risks | 0.298883 |
| blood pressure control | 0.278389 |
| onsite fitness facilities | 0.293522 |
| employee vegetable garden | 0.254066 |
| CDC Worksite Health | 0.421955 |
| stress management opportunities | 0.251661 |
| online ScoreCard | 0.236838 |
| workplace efforts | 0.202317 |
| physical activity strategies | 0.278234 |
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