| 986 |
Centers for Disease Control and Prevention |
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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 |
|
| 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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Centers for Disease Control and Prevention |
Html |
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Workers' Memorial Day - April 28, 2014 |
Workers' Memorial Day, observed on April 28, 2014, recognizes workers who died or suffered from exposures to hazards at work. In 2012, a total of 4,383 U.S. |
| CDC | 0.552941 |
| endorsement | 0.468375 |
| illnesses | 0.548586 |
| Human Services | 0.659475 |
| MMWR HTML versions | 0.67001 |
| U.S. Department | 0.653995 |
| work-related illness | 0.683984 |
| electronic PDF version | 0.658411 |
| work-related injuries | 0.974404 |
| additional information | 0.55445 |
| Prevention effectiveness | 0.548684 |
| Contact GPO | 0.575324 |
| commercial sources | 0.549753 |
| current prices | 0.544199 |
| nonfatal work-related injuries | 0.878391 |
| U.S. workers | 0.604377 |
| original paper copy | 0.66578 |
| new cases | 0.559093 |
| U.S. Government Printing | 0.675452 |
| original MMWR paper | 0.664717 |
| methods | 0.445716 |
| local government workers | 0.718737 |
| work-related fatalities | 0.720657 |
| Occupational Safety | 0.555155 |
|
| MMWR readers | 0.554881 |
| character translation | 0.542272 |
| productivity losses | 0.553533 |
| Oxford University Press | 0.677544 |
| Haddix AC | 0.550978 |
| National Institute | 0.564693 |
| format errors | 0.543399 |
| New York | 0.550673 |
| societal cost | 0.691565 |
| Health | 0.468808 |
| Teutsch SM | 0.575448 |
| typeset documents | 0.550107 |
| national surveillance systems | 0.99086 |
| private industry workers | 0.720004 |
| unpublished data | 0.559908 |
| trade names | 0.549864 |
| official text | 0.540489 |
| emergency departments | 0.55437 |
| non-CDC sites | 0.547719 |
| Corso PS | 0.556202 |
| medical costs | 0.551479 |
| economic evaluation | 0.55198 |
| electronic conversions | 0.53957 |
| printable versions | 0.535737 |
|
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| 5517 |
Centers for Disease Control and Prevention |
Html |
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Propane - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
|
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| 9367 |
Centers for Disease Control and Prevention |
Html |
es |
Marco de trabajo para la diseminación de prácticas de promoción de la salud basadas en la evidencia |
CDC - Wide Page example description goes here |
| Cancer Society Workplace | 0.985922 |
|
|
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| 9570 |
Centers for Disease Control and Prevention |
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Announcements: National Fall Prevention Awareness Day -September 22, 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. |
| mmwrq@cdc.gov. | 0.529335 |
| fall injuries | 0.525091 |
| age group increases | 0.610523 |
| original MMWR paper | 0.60307 |
| U.S. Government Printing | 0.599566 |
| tool kit | 0.510718 |
| Human Services | 0.581944 |
| assistive technology | 0.527191 |
| health-care providers | 0.513361 |
| elderly nursing home | 0.605627 |
| older persons | 0.531986 |
| MMWR HTML versions | 0.595418 |
| U.S. Department | 0.58054 |
| MMWR readers | 0.510877 |
| O'Connor JA | 0.517155 |
| reduced mobility | 0.514516 |
| electronic PDF version | 0.595161 |
| 10,000 women | 0.516973 |
| National Fall Prevention | 0.620419 |
| hip fracture rates | 0.852707 |
| Bonadies J. Geriatric | 0.597778 |
| total number | 0.51542 |
| home safety improvements | 0.604784 |
| information resources | 0.519668 |
|
| U.S. population ages | 0.61775 |
| older patients | 0.51328 |
| hip fractures | 0.917229 |
| Pluijm SMF | 0.513771 |
| subject line | 0.526554 |
| Additional information | 0.521563 |
| Contact GPO | 0.522193 |
| Clin Epidemiol | 0.518062 |
| fall risk | 0.521219 |
| fracture risk | 0.528096 |
| online resource | 0.510332 |
| eye doctor | 0.513363 |
| Hayes WC | 0.50904 |
| Calcif Tissue Int | 0.591633 |
| injury severity | 0.509684 |
| Fall-risk screening test | 0.594314 |
| pharmacist review | 0.51482 |
| original paper copy | 0.589232 |
| et al | 0.607665 |
| older adults | 0.517608 |
| Smit JH | 0.517901 |
| Stevens JA | 0.512 |
| adequate calcium | 0.511633 |
|
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| 10307 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
| 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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| 11536 |
Centers for Disease Control and Prevention |
Html |
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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 |
| local health workers—seeing | 0.781577 |
| historical reasons | 0.697662 |
| pathogen pie | 0.699694 |
| 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 |
|
| 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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Centers for Disease Control and Prevention |
Html |
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Interim Guidance for U.S. Hospital Preparedness for Patients with Possible or Confirmed Ebola Virus Disease: A Framework for aTiered Approach | Ebola Hemorrhagic Fever |
null |
| ebola treatment center | 0.984043 |
| EVD diagnosis | 0.381891 |
| Ebola treament center | 0.444211 |
| public health authorities | 0.521094 |
| hospital/facility infection control | 0.389001 |
| infection control program | 0.388996 |
| state | 0.451589 |
| urgent care clinics | 0.448353 |
| personal protective equipment | 0.389341 |
| patients | 0.453001 |
| Potential Ebola Virus | 0.450593 |
| PUIs | 0.376879 |
| ebola virus disease | 0.634819 |
| healthcare facilities | 0.655097 |
| Ebola hospital preparedness | 0.46109 |
| EVD | 0.561553 |
| acute healthcare facilities | 0.395695 |
| CDC Ebola Response | 0.438758 |
| frontline healthcare facility | 0.450626 |
| emergency care settings | 0.440938 |
| Ebola patients | 0.43783 |
| acute care hospitals | 0.411078 |
| public health agencies | 0.395818 |
| Ebola preparedness | 0.444658 |
| clinically stable persons | 0.387442 |
|
| acute care facilities | 0.369693 |
| Ebola assessment hospital | 0.607684 |
| PPE | 0.441936 |
| Emergency Department Evaluation | 0.442975 |
| infection control | 0.424648 |
| ambulatory care settings | 0.40833 |
| frontline healthcare facilities | 0.634997 |
| PPE guidance | 0.376942 |
| local health | 0.430313 |
| local health departments | 0.428985 |
| public health | 0.578819 |
| Ebola assessment hospitals | 0.88426 |
| Ebola treatment centers | 0.677909 |
| non-emergent ambulatory care | 0.368435 |
| additional PPE supplies | 0.37396 |
| primary care offices | 0.410539 |
| local public health | 0.482774 |
| relevant exposure | 0.368882 |
| urgent/emergency care settings | 0.367056 |
| confirmed EVD | 0.367675 |
| widespread Ebola transmission | 0.435449 |
| Ebola testing | 0.479108 |
| guidance | 0.377617 |
| current PPE shortages | 0.375507 |
|
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Centers for Disease Control and Prevention |
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HAN Archive - 00385|Health Alert Network (HAN) |
Health Alert Network (HAN). Provided by the Centers for Disease Control and Prevention (CDC). |
| ongoing transmission | 0.350118 |
| Zika virus | 0.953386 |
| areas | 0.350292 |
| CDC Health Advisory | 0.360303 |
| pregnant women | 0.429485 |
| state health departments | 0.429044 |
| World Health Organization | 0.358942 |
| -registered insect repellents | 0.342051 |
| dengue virus | 0.381349 |
| Zika virus disease | 0.612277 |
| fetal losses | 0.350751 |
| virus clinical disease | 0.412391 |
| Virus-specific neutralization testing | 0.345686 |
| possible congenital infection | 0.352946 |
| RT-PCR protocols | 0.350126 |
| Zika virus transmission | 0.502959 |
| laboratory-confirmed Zika virus | 0.412047 |
| maculopapular rash | 0.381214 |
| American Health Organization | 0.35861 |
| Zika virus laboratory | 0.424016 |
| Environmental Protection Agency | 0.342338 |
| healthcare providers | 0.481795 |
| CDC Health Alert | 0.365985 |
| United States | 0.395918 |
| Aedes species mosquitoes | 0.345535 |
|
| commercially available test | 0.343509 |
| Zika virus infection | 0.737514 |
| continental United States | 0.395386 |
| specific antiviral treatment | 0.343558 |
| local health department | 0.386855 |
| enhances health decisions | 0.346968 |
| local transmission | 0.466346 |
| critical health issues | 0.348395 |
| state health department | 0.354944 |
| yellow fever viruses | 0.344715 |
| acute onset | 0.379756 |
| current outbreak | 0.351829 |
| Zika virus infections | 0.526936 |
| virus disease cases | 0.490855 |
| chikungunya virus infection | 0.410895 |
| similar geographic distribution | 0.342599 |
| non-steroidal anti-inflammatory drugs | 0.343067 |
| bites | 0.334185 |
| Aedes albopictus mosquitoes | 0.350057 |
| laboratory diagnostic testing | 0.344266 |
| Zika virus IgM | 0.417592 |
| risk | 0.33966 |
| CDC Arbovirus Diagnostic | 0.350115 |
| Zika virus testing | 0.41686 |
|
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Centers for Disease Control and Prevention |
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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 |
|
| 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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