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Advisory Committee on Immunization Practices Recommended Immunization Schedule for Adults Aged 19 Years or Older - United States, 2014 |
Carolyn B. Bridges, MD1, Tamera Coyne-Beasley, MD2, Advisory Committee on Immunization Practices (ACIP)*, ACIP Adult Immunization Work Group (Author affiliations at end of text). |
| North Carolina | 0.5516 |
| current low levels | 0.601357 |
| American Academy | 0.541782 |
| vaccine registries | 0.617143 |
| city immunization programs | 0.557173 |
| vaccination coverage | 0.587251 |
| Vaccine Advisory Committee | 0.693806 |
| Td/Tdap vaccine footnote | 0.689266 |
| adult immunization schedules | 0.640652 |
| pneumococcal conjugate vaccine | 0.661296 |
| influenza vaccine | 0.713585 |
| immunization schedule information | 0.589768 |
| meningococcal vaccine footnote | 0.692719 |
| vaccine 3-dose series | 0.665796 |
| inactivated influenza vaccine | 0.662832 |
| PCV13 vaccine row | 0.641854 |
| prior Hib vaccination | 0.618417 |
| adult immunization schedule | 0.580465 |
| Recommended Immunization Schedule | 0.65524 |
| influenza vaccine footnote | 0.709462 |
| zoster vaccine footnotes | 0.646597 |
| pneumococcal polysaccharide vaccine | 0.66407 |
| Hib vaccine recommendations | 0.772054 |
| pediatric immunization schedule | 0.558669 |
| vaccines | 0.796412 |
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| immunization schedule | 0.708659 |
| interested health-care providers | 0.533465 |
| adults | 0.552094 |
| Noninfluenza vaccination coverage | 0.529645 |
| polysaccharide quadrivalent vaccines | 0.623733 |
| health-care providers | 0.577416 |
| HPV vaccine | 0.60158 |
| meningococcal vaccines | 0.603184 |
| adult vaccines | 0.646425 |
| Immunization Practices | 0.549934 |
| specific vaccines | 0.618203 |
| Hib infection | 0.532216 |
| American College | 0.619647 |
| immunization information systems | 0.584718 |
| Hib vaccine guidance | 0.727328 |
| Td vaccine | 0.603414 |
| hepatitis B vaccine | 0.656027 |
| Hib vaccine | 0.905602 |
| recombinant influenza vaccine | 0.661172 |
| Work Group | 0.58781 |
| vaccine footnote | 0.751949 |
| health-care provider | 0.534962 |
| ACIP recommendations | 0.714085 |
| vaccine footnotes | 0.649191 |
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Notes from the Field: Update: Vitamin B12 Deficiency AmongBhutanese Refugees Resettling in the United States, 2012 |
Kendra Cuffe, MPH1, William Stauffer, MD2, John Painter, DVM1, Sharmila Shetty, MD1, Jessica Montour, MPH3, Weigong Zhou, MD, PhD1 (Author affiliations at end of text). |
| medical screening | 0.571889 |
| high rates | 0.581771 |
| CDC | 0.583775 |
| William Stauffer | 0.588853 |
| deficiency post-implementation | 0.598905 |
| newly arrived refugees | 0.723222 |
| median serum concentration | 0.822712 |
| Minnesota Medical School | 0.625116 |
| Zoonotic Infectious Diseases | 0.625056 |
| routine medical examinations | 0.652077 |
| Jessica Montour | 0.588487 |
| normal range | 0.570475 |
| National Center | 0.569955 |
| improved availability | 0.577164 |
| median age | 0.588966 |
| select domestic refugee | 0.647853 |
| serum samples | 0.642899 |
| John Painter | 0.586468 |
| Nutrition surveys | 0.5746 |
| nutritional counseling | 0.572769 |
| oral vitamin | 0.761797 |
| Sharmila Shetty | 0.592736 |
| serum concentrations | 0.863603 |
| new cases | 0.576018 |
| deficiency rate | 0.601387 |
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| United States | 0.668295 |
| Kendra Cuffe | 0.660208 |
| domestic refugee health | 0.767456 |
| pg/mL | 0.59704 |
| red meat | 0.574262 |
| improved food supply | 0.63329 |
| dietary practices | 0.576377 |
| Austin-Travis County clinic | 0.642645 |
| neurologic disorders | 0.586374 |
| serum concentration levels | 0.685761 |
| improved access | 0.577829 |
| nutrition advice | 0.639744 |
| rich foods | 0.570164 |
| previously recommended interventions | 0.63796 |
| Author affiliations | 0.582574 |
| anecdotal reports | 0.579702 |
| refugee health programs | 0.767409 |
| serum concentration pre-intervention | 0.689405 |
| deficiency | 0.631033 |
| 3Refugee Health Program | 0.627208 |
| refugee camps | 0.571548 |
| Bhutanese refugees | 0.986718 |
| Weigong Zhou | 0.58733 |
| deficient pre-intervention | 0.593435 |
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Methylal - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Preventing Chronic Disease | Neighborhood Food Outlets,Diet, and Obesity Among California Adults, 2007 and 2009 -CDC |
Varying neighborhood definitions may affect research on the association between food environments and diet and weight status. The objective of this study was to examine the association between number and type of neighborhood food outlets and dietary intake and body mass index (BMI) measures among California adults according to the geographic size of a neighborhood or food environment. |
| food outlet locations | 0.491669 |
| neighborhood food outlets | 0.552221 |
| census tracts | 0.510891 |
| neighborhood food | 0.639189 |
| lower BMI | 0.506304 |
| BMI measures | 0.613087 |
| food outlet types | 0.662131 |
| number | 0.575639 |
| dietary intake measure | 0.496755 |
| sugar-sweetened soft drinks | 0.712509 |
| food environments | 0.639444 |
| buffer | 0.516218 |
| mid-size grocery stores | 0.642283 |
| 3.0-mile buffer | 0.511103 |
| neighborhood food environments | 0.558565 |
| control variables | 0.491769 |
| body mass index | 0.501735 |
| Health Interview Survey | 0.534323 |
| grocery stores | 0.6894 |
| food environment measures | 0.501926 |
| fast-food consumption | 0.518123 |
| census tract | 0.723164 |
| full-range grocery stores | 0.498302 |
| buffer sizes | 0.507214 |
| high school graduate | 0.511761 |
|
| significant associations | 0.509156 |
| residential census tract | 0.504515 |
| convenience stores | 0.587551 |
| fast food | 0.561199 |
| food deserts | 0.493857 |
| dietary intake measures | 0.510322 |
| California Health Interview | 0.535448 |
| dietary intake | 0.954675 |
| fast-food outlets | 0.503975 |
| small food stores | 0.631016 |
| weight status | 0.53326 |
| food outlet data | 0.528211 |
| fried potatoes | 0.555265 |
| immediate food environments | 0.498668 |
| BMI | 0.757604 |
| food outlet type | 0.520586 |
| food environment | 0.699033 |
| fast-food restaurants | 0.82393 |
| large supermarkets | 0.639441 |
| food items | 0.499146 |
| full-service restaurants | 0.560164 |
| Average BMI | 0.497955 |
| neighborhood food environment | 0.602524 |
| food outlets | 0.889478 |
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TB - Basic TB Facts - TB Personal Stories |
Division of Tuberculosis Elimination |
| Health Department Preventive | 0.565317 |
| college | 0.251383 |
| County Health Department | 0.562787 |
| contact investigation | 0.319228 |
| Tri | 0.894133 |
| Rockdale County Health | 0.583064 |
| school | 0.242664 |
| home isolation | 0.309798 |
| American Lung Association | 0.396476 |
| big disease | 0.299455 |
| tuberculosis | 0.256923 |
| play basketball | 0.307292 |
| TB peer counselor | 0.581827 |
| Newton | 0.240644 |
| fevers | 0.2271 |
| preventive health clinic | 0.789776 |
| job | 0.247079 |
| brother | 0.331408 |
| antibiotics | 0.224237 |
| TB disease. | 0.52611 |
| night sweats | 0.325289 |
| advice | 0.23668 |
| classes | 0.223522 |
| TB disease | 0.650155 |
| Gwinnett | 0.248961 |
|
| directly observed therapy | 0.399452 |
| younger brother | 0.330999 |
| persistent cough | 0.324722 |
| company | 0.222242 |
| Grayson | 0.223362 |
| health care | 0.306606 |
| grants | 0.235806 |
| severity | 0.223371 |
| TB treatment | 0.525092 |
| case manager Hoa | 0.40935 |
| young men | 0.312136 |
| medicine | 0.269812 |
| loves-playing basketball | 0.32663 |
| TB | 0.904852 |
| flu | 0.223241 |
| normal activities | 0.305808 |
| doctor | 0.244909 |
| afternoon | 0.223614 |
| help | 0.228233 |
| big word | 0.303991 |
| TB diagnosis | 0.485988 |
| household expenses | 0.306099 |
| appetite | 0.22486 |
| Department Preventive Health | 0.565253 |
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Un modelo ecológico que utiliza promotores de salud para prevenir las enfermedades cardiovasculares en la frontera de EE. UU. y México: El proyecto HEART |
CDC - Wide Page example description goes here |
| Ochoa C | 0.564401 |
| bajos ingresos | 0.536453 |
| Balcázar H | 0.540651 |
| Diana Hastings | 0.563218 |
| Maria Duarte-Gardea | 0.547353 |
| Wise S | 0.556161 |
| model using promotores | 0.708717 |
| US-Mexico border | 0.558224 |
| Jose Rodriguez | 0.570564 |
| Rodriguez J | 0.559633 |
| proyecto heart hector | 0.749261 |
| Cecilia Ochoa | 0.585383 |
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| HEART Project | 0.607395 |
| Leticia Flores | 0.553883 |
| Lorraine Hernandez | 0.556341 |
| Hastings D | 0.545581 |
| Salud Pública | 0.538137 |
| Sherrie Wise | 0.581916 |
| Lee Rosenthal | 0.557293 |
| My Community | 0.547844 |
| proyecto heart | 0.915262 |
| Chronic Dis | 0.561795 |
| My Heart | 0.606243 |
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Global Water, Sanitation, and Hygiene Epidemiology Team - Waterborne Disease Prevention Branch - DFWED - NCEZID |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| field research | 0.750455 |
| Conducts laboratory | 0.743617 |
| waterborne diseases | 0.876815 |
| CDC’s National | 0.813904 |
| teaching healthy behaviors | 0.87276 |
| typhoid fever | 0.743938 |
| safe water | 0.998512 |
| Global Immunization Division | 0.883669 |
| household water treatment | 0.908687 |
| water-related disease | 0.806123 |
| international partners | 0.744 |
| global water | 0.917074 |
| AIDS Relief | 0.744967 |
| CDC programs | 0.794126 |
| soil-transmitted helminths | 0.764955 |
| hygiene | 0.848759 |
| Zoonotic Infectious Diseases | 0.943064 |
| Emergency Plan | 0.751336 |
| behavior change strategies | 0.871873 |
| World Health Organization | 0.881685 |
| outbreak response | 0.743307 |
| endemic disease | 0.756632 |
| Epidemiology Team | 0.775788 |
| social entrepreneurs | 0.749507 |
| Global Enterics Multi-Center | 0.901141 |
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| adequate sanitation | 0.896864 |
| faith-based programs | 0.778208 |
| HIV/AIDS programs | 0.771205 |
| model programs | 0.7628 |
| health benefits | 0.765568 |
| disease prevention programs | 0.901114 |
| community health promotion | 0.881868 |
| WASH interventions | 0.814341 |
| scalable methods | 0.747643 |
| respiratory illness | 0.745929 |
| lead global epidemiology | 0.963141 |
| U.S. President | 0.744549 |
| global access | 0.798526 |
| health staff training | 0.882261 |
| social marketing | 0.748107 |
| antenatal care clinics | 0.893502 |
| WASH Away NTDs | 0.846773 |
| tropical diseases | 0.74809 |
| external partners | 0.734833 |
| safe water storage | 0.923491 |
| community-based programs | 0.772961 |
| complex international emergencies | 0.897251 |
| CDC-developed Safe Water | 0.931246 |
| community mobilization | 0.756 |
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Preventing Chronic Disease | Diabetes Interactive Atlas - CDC |
The Diabetes Interactive Atlas is a recently released Web-based collection of maps that allows users to view geographic patterns and examine trends in diabetes and its risk factors over time across the United States and within states. The atlas provides maps, tables, graphs, and motion charts that depict national, state, and county data. Large amounts of data can be viewed in various ways simultaneously. In this article, we describe the design and technical issues for developing the atlas and provide an overview of the atlas’ maps and graphs. The Diabetes Interactive Atlas improves visualization of geographic patterns, highlights observation of trends, and demonstrates the concomitant geographic and temporal growth of diabetes and obesity. |
| indicator | 0.233868 |
| Diabetes Interactive Atlas | 0.975846 |
| time animation bar | 0.511414 |
| risk factors | 0.489382 |
| motion charts | 0.737138 |
| data | 0.807236 |
| maps | 0.262028 |
| United States | 0.299147 |
| age-adjusted diabetes prevalence | 0.287959 |
| default display | 0.233254 |
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| county data | 0.59378 |
| National Diabetes Surveillance | 0.236379 |
| data classification | 0.293211 |
| Web pages | 0.289936 |
| geographic patterns | 0.337112 |
| county estimates | 0.251707 |
| natural breaks | 0.282721 |
| obesity prevalence | 0.217983 |
| user | 0.211297 |
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CDC: Stephen's Story, Let's Stop HIV Together |
In this digital story, Stephen discusses living with HIV, disclosing his status to his younger brother Joe, and how they are both working to address the stigma surrounding HIV.
Let's Stop HIV Together is a national HIV awareness and anti-stigma campaign produced by the Centers for Disease Control and Prevention (CDC). It features stories of individuals living with HIV and the people who support them. Join the conversation on Facebook at www.facebook.com/ActAgainstAIDS.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=045a87392e3b062d1779feecad0dd0cd20131202143316531 |
| CDC | 0.701155 |
| YouTube | 0.672781 |
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Centers for Disease Control and Prevention |
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Dangerous Creatures – A Visit To The CDC Insectary |
This video for young people ages 8 to 12, takes viewers to CDC's insectary, where they learn from CDC researchers about mosquitoes and malaria. See how mosquitoes are bred and used in tests to determine if they are becoming resistant to the insecticides used in nets and spray to prevent malaria. CDC's malaria expertise and global partnerships have helped save millions of children's lives.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at http://www.cdc.gov/CDCTV/DangerousCreatures/ |
| CDC Insectary | 0.954182 |
| Dangerous Creatures | 0.820425 |
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