| 5234 |
Centers for Disease Control and Prevention |
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en |
Influenza Virus Prevention and Infection Control Among Specific Populations |
Antiviral treatment of influenza and other reports related to controlling and preventing influenza among specific populations such as immunocompromised persons, health care personnel, hospital patients, pregnant women, children, and travelers - CDC |
| Influenza Viruses. | 0.879541 |
| general information | 0.553406 |
| World Health Organization | 0.754348 |
| hospital patients | 0.505927 |
| United States | 0.479704 |
| specific populations | 0.542574 |
| Pandemic Influenza | 0.943878 |
| Pharmacological Management | 0.538985 |
|
| antiviral treatment | 0.594356 |
| pregnant women | 0.543711 |
| additional guidance | 0.531827 |
| ACIP | 0.299669 |
| KB | 0.211307 |
| clinical trials | 0.481781 |
| health care personnel | 0.834348 |
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| 6424 |
Centers for Disease Control and Prevention |
Html |
en |
Announcement: National Influenza Vaccination Week - December 4-10, 2011 |
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. | 0.373382 |
| endorsement | 0.271558 |
| influenza-related complications | 0.349319 |
| Human Services | 0.636137 |
| assistive technology | 0.37347 |
| health-care professionals | 0.351947 |
| fluinbox@cdc.gov). | 0.348168 |
| Additional influenza information | 0.638324 |
| U.S. Department | 0.628501 |
| MMWR HTML versions | 0.460044 |
| NIVW partnership opportunities | 0.472953 |
| pregnant women | 0.349813 |
| electronic PDF version | 0.449332 |
| e-mail | 0.280781 |
| influenza vaccine | 0.8379 |
| Contact GPO | 0.368143 |
| commercial sources | 0.343574 |
| current prices | 0.339526 |
| persons | 0.2794 |
| original paper copy | 0.456045 |
| doses | 0.273044 |
| national observance | 0.360036 |
| United States | 0.356305 |
| chronic health conditions | 0.479304 |
|
| U.S. Government Printing | 0.466642 |
| original MMWR paper | 0.455488 |
| educational materials | 0.347952 |
| certain groups | 0.352126 |
| especially children | 0.354375 |
| MMWR readers | 0.348721 |
| character translation | 0.337143 |
| Influenza vaccination coverage | 0.69543 |
| Immunization Practices | 0.35695 |
| Advisory Committee | 0.354229 |
| high-risk groups | 0.356788 |
| heart disease | 0.350976 |
| National Influenza Vaccination | 0.748097 |
| holiday season | 0.358654 |
| format errors | 0.33746 |
| higher risk | 0.346803 |
| subject line | 0.369448 |
| typeset documents | 0.344047 |
| trade names | 0.343671 |
| official text | 0.335604 |
| influenza vaccination | 0.967402 |
| non-CDC sites | 0.34179 |
| web tools | 0.347821 |
| electronic conversions | 0.334133 |
|
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| 6448 |
Centers for Disease Control and Prevention |
Html |
en |
New, Simpler Way to Treat Latent TB Infection | CDC Features |
Treating latent tuberculosis (TB) infection to prevent progression to TB disease is a cornerstone of the U.S. strategy for TB elimination. |
| latent TB infection | 0.956274 |
| United States | 0.335827 |
| TB infection treatment | 0.297779 |
| TB cases | 0.276967 |
| TB disease | 0.535667 |
|
| TB elimination | 0.302581 |
| 12-dose regimen | 0.31008 |
| latent tuberculosis | 0.215124 |
| people | 0.222489 |
|
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| 6487 |
Centers for Disease Control and Prevention |
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en |
The association of natural elements and trail use by adults |
We used the System for Observing Play and Recreation in Communities to examine the association between variations in natural elements (ie, season, weather, and temperature) and adults’ use of a rail-trail in South Carolina (2006-2009). |
| observed walking | 0.543631 |
| demographic characteristics | 0.577672 |
| cloudy weather | 0.583977 |
| Adult trail | 0.568691 |
| data collection lend | 0.552188 |
| trail | 0.938503 |
| vigorous PA | 0.915177 |
| downtown business district | 0.571718 |
| weather | 0.80637 |
| season | 0.56512 |
| Diego State University | 0.564234 |
| vigorous physical activity | 0.666207 |
| sunny weather | 0.724488 |
| historic residential neighborhoods | 0.574109 |
| favorable conditions | 0.558258 |
| continued trail | 0.549253 |
| trail planners | 0.5454 |
| temperature adjusting | 0.525762 |
| Anna E. Price | 0.547347 |
| vigorous activity | 0.601986 |
| trained observers | 0.550647 |
| desirable weather conditions | 0.604522 |
| Furman University | 0.57762 |
| trail observers | 0.624323 |
|
| adults | 0.779717 |
| University institutional review | 0.575227 |
| Test–retest correlation coefficients | 0.571363 |
| South Carolina | 0.797286 |
| quarterly observation periods | 0.558879 |
| variations | 0.514238 |
| low temperatures | 0.512362 |
| PA behavior | 0.659767 |
| Mary Black Foundation | 0.551893 |
| 2-mile urban rail-trail | 0.578845 |
| Sacred Heart University | 0.560864 |
| trail user demographics | 0.643623 |
| Logistic regression models | 0.563394 |
| Julian A. Reed | 0.550077 |
| high temperatures | 0.512949 |
| Steve P. Hooker | 0.556754 |
| favorable weather conditions | 0.740037 |
| trail users | 0.788445 |
| environmental supports | 0.553593 |
| moderate temperatures | 0.751281 |
| natural elements | 0.781862 |
| initial trail | 0.548901 |
| Public Health Service | 0.561538 |
| Arizona State University | 0.566801 |
|
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| 8094 |
Centers for Disease Control and Prevention |
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en |
Update: Influenza Activity - United States, September 30,2012-February 9, 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. |
| influenza | 0.993293 |
| 2012-13 influenza season | 0.606989 |
| influenza hospitalization surveillance | 0.774764 |
| CDC influenza surveillance | 0.617131 |
| little influenza virus | 0.589553 |
| United States | 0.635638 |
| Influenza Div | 0.57906 |
| novel influenza | 0.628215 |
| influenza B. | 0.564916 |
| influenza A viruses | 0.642465 |
| clinician-ordered influenza testing | 0.585203 |
| seasonal influenza vaccination | 0.595344 |
| New York City | 0.546607 |
| influenza B component | 0.593323 |
| influenza antiviral medications | 0.599245 |
| previous influenza seasons | 0.580939 |
| Year-round influenza surveillance | 0.596377 |
| influenza B viruses | 0.717128 |
| high ILI activity | 0.583059 |
| Cities Mortality Reporting | 0.631006 |
| laboratory-confirmed influenza | 0.669325 |
| influenza A virus | 0.605944 |
| Influenza surveillance reports | 0.609461 |
|
| influenza vaccine | 0.647405 |
| New York | 0.599928 |
| influenza season | 0.843298 |
| influenza B infection | 0.580877 |
| World Health Organization | 0.608156 |
| influenza activity | 0.720977 |
| laboratory-confirmed influenza infection | 0.608988 |
| U.S. influenza activity* | 0.637861 |
| influenza vaccine components | 0.598408 |
| influenza ††| 0.58786 |
| Enteric Virus Surveillance | 0.561435 |
| annual influenza vaccine | 0.595498 |
| influenza complications | 0.582043 |
| Sporadic influenza activity | 0.619669 |
| influenza seasons | 0.696866 |
| ILI activity | 0.621927 |
| influenza surveillance | 0.627014 |
| influenza viruses | 0.736925 |
| influenza virus | 0.616487 |
| influenza antiviral resistance | 0.599092 |
| influenza-associated hospitalizations | 0.584205 |
| additional Influenza Hospitalization | 0.63438 |
|
CLICK HERE |
| 9612 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Child Asthma Data - Technical Information |
BRFSS 2008 - Child Asthma Data - Technical Information |
| Child asthma prevalence | 0.556421 |
| Research Triangle Institute | 0.394125 |
| normal distribution approximation | 0.393185 |
| Information Processing Standard | 0.397768 |
| randomly selected adult | 0.413955 |
| Prevalence Numbers | 0.411022 |
| multiple questionnaire version | 0.403252 |
| Random Child Selection | 0.923056 |
| Selection optional module | 0.422139 |
| BRFSS survey | 0.372021 |
| Small Sample Size | 0.393007 |
| standard error estimates | 0.413636 |
| Lifetime asthma | 0.414001 |
| Thirty-nine states | 0.3684 |
| standard error | 0.497045 |
| subgroup tables | 0.399155 |
| prevalence value | 0.407951 |
| version specific datasets | 0.395925 |
| Question number | 0.395215 |
| available text size | 0.417063 |
| Research Triangle Park | 0.394071 |
| pleasing results | 0.363742 |
| portrait orientation | 0.360985 |
| PDF files | 0.364078 |
| Asthma optional modules | 0.859679 |
|
| Current asthma | 0.414565 |
| callable SUDAAN Release | 0.398497 |
| child asthma questions | 0.493404 |
| Survey Questions | 0.362003 |
| prevalence estimates | 0.422802 |
| ADA assisted technology | 0.409568 |
| states | 0.379918 |
| sample states | 0.36615 |
| prevalence estimate | 0.408952 |
| BRFSS Random Child | 0.582317 |
| Childhood Asthma Prevalence | 0.539481 |
| (sep) | 0.394579 |
| 50 states | 0.369131 |
| PDF format | 0.364262 |
| lower limit | 0.389654 |
| prevalence percent | 0.408667 |
| questionnaire version | 0.405957 |
| BRFSS User | 0.368725 |
| non-institutionalized civilian adults | 0.410715 |
| HTML-formatted tables | 0.372837 |
| Codes Used | 0.363154 |
| Childhood Asthma | 0.67136 |
| calculated standard error | 0.407732 |
| confidence interval | 0.452747 |
|
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| 11551 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Eating for a Healthy Weight: Fruits and Vegetables |
There are many different ways to lose or maintain a healthy weight. Using more fruits and vegetables along with whole grains and lean meats, nuts, and beans is a safe and healthy one. Learn more. |
| different ways | 0.392003 |
| extra calories | 0.579647 |
| low-fat cooking techniques | 0.434421 |
| low-calorie dip | 0.38966 |
| fewer calories | 0.884661 |
| total calories | 0.566387 |
| healthy eating plan | 0.46099 |
| lower-calorie versions | 0.384333 |
| dinner plate | 0.373951 |
| medium orange | 0.372849 |
| original version | 0.375149 |
| natural sweetness | 0.377513 |
| bigger size snack | 0.437259 |
| red peppers | 0.380799 |
| favorite dish | 0.388368 |
| Substitute vegetables | 0.541199 |
| small-size plate | 0.378598 |
| satisfying snack | 0.380349 |
| favorite vegetable | 0.373829 |
| essential vitamins | 0.380888 |
| small apple | 0.3745 |
| good look | 0.378094 |
| cup | 0.420207 |
| higher-calorie ingredients | 0.377955 |
| favorite broth-based soup | 0.44405 |
|
| good proportion | 0.377128 |
| fruit drinks | 0.377676 |
| lean meats | 0.388183 |
| high-calorie snack | 0.378221 |
| vegetables | 0.92041 |
| largest portion | 0.377084 |
| Eat fruits | 0.522391 |
| fruits | 0.682093 |
| favorite dishes | 0.381815 |
| low-fat dressings | 0.379427 |
| total number | 0.374361 |
| snack-sized bag | 0.374334 |
| Fruit juices | 0.37874 |
| white pasta | 0.377224 |
| chronic diseases | 0.386496 |
| good health | 0.383763 |
| 6-ounce serving | 0.374984 |
| way nature provided—or | 0.435896 |
| healthy weight | 0.38555 |
| low-calorie fruits | 0.47851 |
| cut-up bananas | 0.392813 |
| new version | 0.37992 |
| morning omelet | 0.379912 |
| cut-up vegetables | 0.530792 |
|
CLICK HERE |
| 12415 |
Centers for Disease Control and Prevention |
Image |
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Polio: What You See is Only the Tip of the Iceberg (138W x 308H) |
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CLICK HERE |
| 13986 |
Centers for Disease Control and Prevention |
Html |
en |
ACIP Vaccine-Specific Recommendations |
List of all ACIP Vaccine-Specific Recommendations. Advisory Committee on Immunization Practices (ACIP) |
| MPEG | 0.276361 |
| PDF | 0.201634 |
| PPT | 0.326381 |
|
| email address | 0.716575 |
| DOC | 0.270026 |
| different file formats | 0.90859 |
|
CLICK HERE |
| 14145 |
Centers for Disease Control and Prevention |
Html |
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Progress Toward Strengthening National Blood TransfusionServices - 14 Countries, 2011-2014 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| blood products | 0.313093 |
| HIV prevalence rates | 0.368943 |
| AIDS Relief | 0.34508 |
| national blood services | 0.341201 |
| blood banking standards | 0.319885 |
| annual blood collections | 0.36372 |
| national blood supply | 0.35688 |
| national HIV epidemics | 0.309403 |
| transfusion service collections | 0.314201 |
| blood transfusion services | 0.809227 |
| national blood policies | 0.407796 |
| Emergency Plan | 0.354077 |
| World Health Organization | 0.369747 |
| blood unit collections | 0.30996 |
| total annual blood | 0.309329 |
| countries | 0.54537 |
| adequate national blood | 0.343076 |
| blood collections | 0.418505 |
| immune deficiency syndrome | 0.336525 |
| HIV prevalence data | 0.322231 |
| non-national blood transfusion | 0.366236 |
| human immunodeficiency virus | 0.315325 |
| blood safety | 0.47125 |
| South Africa | 0.34177 |
| blood unit collection | 0.308347 |
|
| quality management systems | 0.432064 |
| overall blood collections | 0.320476 |
| annual national HIV | 0.311103 |
| blood transfusion services†| 0.362081 |
| Western Province Blood | 0.34012 |
| nonremunerated blood donors | 0.599827 |
| blood units | 0.482209 |
| HIV prevalence | 0.670901 |
| nonremunerated blood donations | 0.313603 |
| fewer transfusion-associated HIV | 0.3119 |
| national blood transfusion | 0.97727 |
| National Blood Service | 0.35359 |
| sub-Saharan Africa | 0.351512 |
| HIV transmission | 0.308133 |
| Province Blood Transfusion | 0.384804 |
| national blood supplies | 0.381761 |
| nonremunerated blood donor | 0.334345 |
| national HIV prevalence | 0.351385 |
| blood donor donations | 0.330424 |
| blood transfusion service | 0.604639 |
| transfusion-associated HIV infections | 0.411365 |
| blood unit | 0.322654 |
| African National Blood | 0.351564 |
| South African National | 0.309737 |
|
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