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Measles Outbreak: Protect Your Child with MMR Vaccine | CDC Features |
Measles is a highly contagious disease. It can be serious for young children. Protect child by making sure he or she is up to date on vaccinations, including before traveling abroad. |
| red spots | 0.482578 |
| vaccinations | 0.439925 |
| runny nose | 0.488728 |
| Infants | 0.428411 |
| body | 0.416447 |
| 6-year-old children | 0.477755 |
| children | 0.592357 |
| young children | 0.564969 |
| measles quiz | 0.644573 |
| varicella vaccine | 0.527693 |
| vaccination record | 0.477528 |
| red eyes | 0.479627 |
| dose | 0.519842 |
| rubella vaccines | 0.501236 |
| mumps | 0.455954 |
| child | 0.591171 |
| Measles Vaccination | 0.645568 |
| doses | 0.462924 |
| death | 0.416319 |
| United States | 0.618912 |
| vaccines | 0.501916 |
| fever | 0.416472 |
| air | 0.415762 |
| head | 0.416466 |
| MMRV vaccine | 0.570805 |
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| infected person coughs | 0.552859 |
| pneumonia | 0.417309 |
| measles vaccine | 0.78323 |
| combination vaccine | 0.525562 |
| eligible children | 0.471499 |
| mobile app | 0.478257 |
| health insurance plans | 0.52621 |
| unvaccinated people | 0.478932 |
| brain | 0.416326 |
| highly contagious disease | 0.566523 |
| people | 0.526008 |
| sneezes | 0.415746 |
| doctor | 0.484609 |
| rash | 0.418038 |
| health insurance provider | 0.522617 |
| healthcare provider | 0.473709 |
| chickenpox | 0.415948 |
| state VFC coordinator | 0.52577 |
| immunization scheduler | 0.474507 |
| Children Program | 0.469223 |
| Measles spreads | 0.670841 |
| measles | 0.97787 |
| MMR vaccine | 0.605942 |
| age | 0.519202 |
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Science Clips - Monday, October 12, 2009 |
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| Oct | 0.721018 |
| Sex Transm Dis. | 0.684979 |
| complementary health practices | 0.597845 |
| V. Medicine Association | 0.59871 |
| primary care providers | 0.611825 |
| community-based health screening | 0.601706 |
| Thurman KA | 0.588735 |
| CDC Knowledge | 0.645228 |
| intensive care unit | 0.588696 |
| Action Science Clips | 0.914455 |
| Nutrition Examination Survey | 0.582505 |
| Infectious Diseases Society | 0.666406 |
| HIV Medicine Association | 0.60289 |
| new weekly digest | 0.600708 |
| Provider chart audits | 0.583978 |
| Bernhardt JM | 0.58315 |
| Hemolytic uremic syndrome | 0.597068 |
| Winchell JM | 0.613252 |
| Chief Science Officer | 0.607387 |
| diabetes treatment patterns | 0.596625 |
| Foodborne Diseases Active | 0.597343 |
| Clin Infect Dis. | 0.615587 |
| human papillomavirus infection | 0.595259 |
| Nontuberculous mycobacteria infections | 0.588845 |
| Surveillance Network Sites | 0.589972 |
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| public health response | 0.603782 |
| human immunodeficiency virus | 0.600072 |
| Stephen B. Thacker | 0.68851 |
| Sex Transm Infect. | 0.597678 |
| South Africa | 0.590213 |
| partner notification-San Francisco | 0.586871 |
| sex partner risk | 0.597363 |
| Grosse SD | 0.596951 |
| childhood immunization coverage | 0.585205 |
| Wolff BJ | 0.584576 |
| Proc Natl Acad | 0.584706 |
| onsite wastewater systems | 0.584036 |
| African American men | 0.596566 |
| acute chemical releases | 0.588024 |
| HIV prevention strategy | 0.598424 |
| Schwartz SB | 0.582441 |
| public health | 0.665931 |
| public health perspective | 0.62103 |
| public health literature | 0.608088 |
| B. Thacker CDC | 0.729032 |
| escherichia coli O157 | 0.592439 |
| Arch Sex Behav. | 0.597093 |
| Primary care guidelines | 0.605233 |
| Oleske JM | 0.590543 |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0332 |
The objective of this study was to aggregate data from studies using NHANES accelerometry data and to catalogue study decision rules, derived variables, and cut point definitions to facilitate a more uniform approach to these data. |
| Physical activity levels | 0.25849 |
| data | 0.924843 |
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| cut point definitions | 0.495527 |
| similarly named variables | 0.332282 |
| SAS syntax | 0.750781 |
| unique analytical approaches | 0.321488 |
| NHANES accelerometer data | 0.497695 |
| accelerometer-derived variables | 0.374432 |
| NHANES accelerometry data | 0.31873 |
| Nutrition Examination Survey | 0.468631 |
| data collection cycles | 0.385375 |
| accelerometer-based physical activity | 0.253873 |
| cut point | 0.517889 |
| accelerometer-based step data | 0.263701 |
| Activity Monitor | 0.290224 |
| wear time | 0.331896 |
| publicly available data | 0.277267 |
| consecutive nonzero counts | 0.261162 |
| National Health | 0.342953 |
| Unique research questions | 0.327569 |
| 2-year data collection | 0.278539 |
| step-defined graduated index | 0.320919 |
| Physical Activity Monitor | 0.267577 |
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| decision rules | 0.724187 |
| minimum number | 0.264388 |
| study | 0.278 |
| accelerometer decision rules | 0.575606 |
| nonwear time | 0.517029 |
| step data | 0.33647 |
| activity count data | 0.320885 |
| studies | 0.540467 |
| National Cancer Institute | 0.315768 |
| activity counts | 0.296338 |
| sedentary behavior | 0.263827 |
| NHANES data | 0.330696 |
| myriad accelerometer decision | 0.283008 |
| PAM data | 0.502962 |
| PAM data collection | 0.27946 |
| study decision rules | 0.256065 |
| NCI-supplied SAS syntax | 0.53341 |
| consecutive zeros | 0.319163 |
| vigorous-intensity physical activity | 0.258955 |
| physical activity | 0.642321 |
| NHANES PAM data | 0.282754 |
| time | 0.606484 |
| point definitions | 0.789703 |
| articles | 0.29533 |
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HAN Archive - 00336 - Health Concerns about Misuse of Pesticides for Bed Bug Control |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| indoor pesticides | 0.308381 |
| recent pesticide treatment | 0.36373 |
| Animal Poison Control | 0.245665 |
| Disease Control | 0.262659 |
| pest control application | 0.332564 |
| muscle tremors | 0.240546 |
| Adult bed bugs | 0.34539 |
| pest control | 0.794698 |
| bed bugs | 0.901128 |
| family members | 0.247042 |
| IPM pest control | 0.313242 |
| pesticide control applicator | 0.385986 |
| state pesticide agency | 0.349082 |
| possible pesticide misuse | 0.331161 |
| multiple pesticides | 0.303699 |
| Pesticide Information Center | 0.600574 |
| pest management | 0.393868 |
| label directions | 0.241689 |
| product label | 0.31833 |
| pesticide exposure | 0.474816 |
| poison control center | 0.426666 |
| pesticide applicators | 0.330272 |
| experienced pest management | 0.292794 |
| bed bug-related inquiries | 0.286232 |
| health effects | 0.395186 |
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| CDC Health Alert | 0.26507 |
| comprehensive pest control | 0.312612 |
| pest control applicator | 0.639012 |
| specific contact information | 0.243082 |
| right pest | 0.243545 |
| bed bug infestation | 0.283571 |
| National Pesticide Information | 0.601264 |
| pesticides indoors | 0.513184 |
| poultry bugs | 0.2468 |
| pesticides | 0.637505 |
| bed bug infestations | 0.259714 |
| pest control individual | 0.310449 |
| bed bug | 0.391602 |
| outdoor pesticides indoors | 0.508339 |
| pesticide residues | 0.303655 |
| pest control expert | 0.323831 |
| pesticide dusts | 0.306264 |
| pesticide poisoning | 0.370366 |
| local poison control | 0.251068 |
| pesticide regulatory agency | 0.334232 |
| home | 0.244548 |
| bed bug control | 0.309245 |
| bat bugs | 0.247288 |
| pest control applicators | 0.347717 |
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Ryan White Act of 2009 - NIOSH Workplace Safety and Health Topic |
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| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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NCIRD | DBD Bulletin Fall 2013 | ANISA Stats, Plikaytis Retires |
Division of Bacterial Diseases Bulletin Fall |
| Meningitis Vaccine Project | 0.783036 |
| neonatal survival | 0.752586 |
| community-acquired newborn infections | 0.794339 |
| public health interventions | 0.777411 |
| new statistical tools | 0.776497 |
| DBD scientist Stephanie | 0.779481 |
| standardized statistical tools | 0.775274 |
| future project design | 0.765435 |
| neonatal infection | 0.763952 |
| ANISA team | 0.786366 |
| ANISA Investigator Conference | 0.856001 |
| Melinda Gates Foundation | 0.768675 |
| individual pathogens | 0.710714 |
| South Asian countries | 0.791945 |
| Newborn deaths | 0.729329 |
| extensive lab efforts | 0.765675 |
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| fungal infectious diseases | 0.753139 |
| laboratory testing methods | 0.776992 |
| Neonatal Infections | 0.763637 |
| advanced statistical analyses | 0.768314 |
| analysis plan | 0.826505 |
| pathogen distribution | 0.700433 |
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| key laboratory staff | 0.787593 |
| study facilities | 0.702258 |
| newborn babies | 0.696611 |
| Different statistical approaches | 0.773084 |
| public health impact. | 0.76477 |
| largest etiology studies | 0.769718 |
| statistician Nong Shang | 0.799506 |
| integrated statistical model | 0.773609 |
| basic prenatal care | 0.766844 |
| certain pathogens | 0.704182 |
| analysis finalization | 0.702626 |
| meningococcal conjugate vaccine | 0.763979 |
| neonatal deaths | 0.93653 |
| devastating meningitis epidemics | 0.768694 |
| public health | 0.832992 |
| laboratory techniques | 0.696957 |
| Brian Plikaytis | 0.70113 |
| statistical consultant | 0.698653 |
| public health importance | 0.763974 |
| bacterial pathogens | 0.721612 |
| potential challenges | 0.700539 |
| Stephanie Schrag | 0.772327 |
| neonatal sepsis | 0.769161 |
| methodological challenges | 0.696892 |
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Wes Studi: Signs |
Wes Studi, Hollywood actor and Cherokee tribal member, expresses concern for American Indians and Alaska Natives by detailing the symptoms of flu and emergency warning signs for children and adults and urges them to seek medical care right away if ill to recover from flu.
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html |
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Vaccines: VPD-VAC HepB |
Hepatitis B vaccine info for parents, public, and healthcare professionals |
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National Awards Program Recognizes Outstanding Efforts During the 2011-2012 Influenza Season |
National Awards Program Recognizes Outstanding Efforts During the 2011-2012 Influenza Season - CDC |
| influenza vaccine issues | 0.434894 |
| influenza ambassadors | 0.39767 |
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| NIVS Immunization Excellence | 0.430324 |
| influenza immunization services | 0.508534 |
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| health care facilities | 0.387723 |
| Influenza Vaccine Summit | 0.557258 |
| annual influenza vaccination | 0.563041 |
| 2011-2012 influenza season | 0.46581 |
| influenza vaccine coverage | 0.467701 |
| nursing homes | 0.420363 |
| gate influenza vaccine | 0.436866 |
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| annual influenza immunizations | 0.442971 |
| influenza information | 0.389131 |
| mandatory influenza policy | 0.4351 |
| influenza vaccination rate | 0.527676 |
| flu immunization program | 0.384423 |
| influenza vaccination communication | 0.524849 |
| influenza disease | 0.401982 |
| HCP influenza vaccination | 0.571526 |
| influenza vaccination orientation | 0.517349 |
| health care | 0.423796 |
| National Influenza Vaccine | 0.564772 |
| influenza season | 0.565855 |
| influenza vaccine protection | 0.446193 |
| influenza vaccinations | 0.539365 |
| HCP vaccination programs | 0.379883 |
| care van program | 0.424428 |
| influenza educational materials | 0.406232 |
| influenza vaccination rates | 0.676443 |
| influenza vaccination | 0.988644 |
| target vaccination rates | 0.47655 |
| influenza vaccination policies | 0.528949 |
| influenza seasons | 0.427511 |
| HCP vaccination rates | 0.398179 |
| HCP vaccination rate | 0.373082 |
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Differences in Food and Beverage Marketing Policies andPractices in US School Districts, by Demographic Characteristics ofSchool Districts, 2012 |
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. |
| district size | 0.462571 |
| school wellness policies | 0.487794 |
| beverage marketing | 0.705757 |
| Practices Study | 0.314804 |
| large school districts | 0.545695 |
| school buildings | 0.459304 |
| Disease Control | 0.396396 |
| school | 0.976223 |
| healthful options | 0.465568 |
| school districts | 0.769576 |
| higher percentage | 0.628372 |
| marketing practices | 0.338743 |
| school nutrition environment | 0.328147 |
| metropolitan status | 0.489085 |
| rural districts | 0.440471 |
| school health policies | 0.557394 |
| school nutrition services | 0.507526 |
| urban districts | 0.440206 |
| schools | 0.535914 |
| nutrition services staff | 0.335568 |
| non-Hispanic white students | 0.480155 |
| fast food restaurants | 0.396711 |
| large districts | 0.528018 |
| school health council | 0.457878 |
| promotion policies | 0.351173 |
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| public school districts | 0.42124 |
| General School Environment | 0.314448 |
| larger school districts | 0.392887 |
| districts | 0.915401 |
| school nutrition | 0.635879 |
| students | 0.566388 |
| total annual expenditures | 0.49172 |
| soft drinks | 0.504888 |
| healthful school nutrition | 0.370495 |
| technical assistance | 0.334291 |
| schools districts | 0.310675 |
| school grounds | 0.455842 |
| soft drink companies | 0.532946 |
| unhealthful foods | 0.744102 |
| small districts | 0.355251 |
| food marketing policies | 0.351428 |
| local school wellness | 0.58798 |
| district characteristics | 0.475325 |
| school health coordinator | 0.374676 |
| non-Hispanic white student | 0.454201 |
| practices | 0.640484 |
| school wellness policy | 0.3123 |
| medium-sized districts | 0.393185 |
| healthful foods | 0.320566 |
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