| 756 |
Centers for Disease Control and Prevention |
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Notifiable Diseases and Mortality Tables |
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. |
| H. influenzae | 0.599689 |
| National Center | 0.514082 |
| Immunization | 0.352742 |
| viruses | 0.349656 |
| cases | 0.716921 |
| CDC | 0.507056 |
| Table | 0.349266 |
| novel influenza | 0.861674 |
| Total case counts | 0.686911 |
| serotypes | 0.349417 |
|
| measles cases | 0.551242 |
| ** Data | 0.563159 |
| Cumulative total E. | 0.694906 |
| Influenza Division | 0.6465 |
| probable cases | 0.536727 |
| Respiratory Diseases | 0.520203 |
| ages | 0.349508 |
| rubella cases | 0.517727 |
| human infection | 0.541545 |
| influenza A virus | 0.699733 |
|
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| 934 |
Centers for Disease Control and Prevention |
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Two-Dose Varicella Vaccination Coverage Among Children Aged7 years - Six Sentinel Sites, United States, 2006-2012 |
Adriana S. Lopez, MHS1, Cristina Cardemil, MD2, Laura J. Pabst, MPH2, Karen A. |
| IIS data | 0.271119 |
| 1-dose varicella vaccination | 0.419854 |
| provider-verified vaccination data | 0.286254 |
| New York City | 0.339401 |
| 2-dose MMR coverage | 0.261692 |
| varicella disease | 0.33652 |
| children | 0.310337 |
| school entry requirement | 0.35884 |
| decrease varicella disease | 0.333357 |
| vaccination coverage levels | 0.35791 |
| 2-dose varicella vaccination | 0.941824 |
| routine 2-dose varicella | 0.418075 |
| vaccination coverage survey | 0.297444 |
| varicella vaccine | 0.588283 |
| varicella vaccine requirements | 0.346137 |
| school entry | 0.652688 |
| 2-dose varicella vaccine | 0.439581 |
| varicella disease incidence | 0.3338 |
| varicella incidence | 0.333908 |
| school vaccination requirements | 0.298962 |
| vaccination coverage data | 0.299155 |
| 2-dose MMR vaccination | 0.299123 |
| vaccination elementary school | 0.348559 |
| IIS sentinel sites | 0.455189 |
| vaccination providers | 0.271276 |
|
| Two-dose varicella vaccination | 0.639268 |
| rubella vaccination coverage | 0.287171 |
| sentinel IIS sites | 0.278887 |
| 2-dose varicella school | 0.357832 |
| kindergarten vaccination assessment | 0.288859 |
| states | 0.262966 |
| elementary school entry | 0.491158 |
| varicella vaccination program | 0.512948 |
| 2-dose school entry | 0.308935 |
| MMR vaccination coverage | 0.329683 |
| higher 2-dose varicella | 0.344127 |
| IIS sentinel site | 0.271407 |
| varicella vaccination coverage | 0.930372 |
| North Dakota | 0.316937 |
| vaccination provider | 0.271589 |
| vaccine elementary school | 0.281311 |
| 2-dose coverage | 0.271106 |
| varicella protection | 0.320776 |
| varicella vaccine school | 0.3626 |
| vaccine school entry | 0.272181 |
| varicella immunity | 0.343453 |
| varicella vaccination recommendation | 0.391281 |
| vaccination school entry | 0.360199 |
| varicella vaccination school | 0.48266 |
|
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| 1144 |
Centers for Disease Control and Prevention |
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First Confirmed Cases of Middle East Respiratory SyndromeCoronavirus MERS-CoV Infection in the United States, UpdatedInformation on the Epidemiology of MERS-CoV Infection, and Guidancefor the Public, Clinicians, and Public Health Authorities - May2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| CDC | 0.540937 |
| CDC guidance | 0.381873 |
| symptom onset | 0.516353 |
| website (http://www.cdc.gov/coronavirus/mers/index.html). | 0.401439 |
| family member | 0.38838 |
| UK | 0.394131 |
| confirmed MERS-CoV infections | 0.376971 |
| contact | 0.447182 |
| East respiratory syndrome | 0.53738 |
| World Health Organization | 0.535869 |
| Indiana State Department | 0.421053 |
| countries | 0.403953 |
| Public health investigations | 0.376392 |
| travelers | 0.392609 |
| laboratory-confirmed MERS-CoV infection | 0.450143 |
| household contacts | 0.381229 |
| illness onset | 0.392315 |
| Arabian Peninsula | 0.630724 |
| United States | 0.815895 |
| MERS-CoV infection control | 0.393084 |
| Cook County | 0.393854 |
| infection control | 0.530809 |
| health-care providers | 0.541022 |
| Saudi Arabia | 0.99195 |
| local health department | 0.543058 |
|
| Middle East | 0.435598 |
| U.S. travelers | 0.390218 |
| respiratory symptoms | 0.419265 |
| infection control precautions | 0.482598 |
| patient | 0.403508 |
| close contact | 0.405619 |
| interim home care | 0.4027 |
| local health | 0.560598 |
| Case count | 0.387694 |
| local health departments | 0.502481 |
| public health | 0.400859 |
| acute respiratory illness | 0.394682 |
| cases | 0.569568 |
| MERS patients | 0.402523 |
| health | 0.588166 |
| travel-associated MERS cases | 0.525448 |
| United Arab Emirates | 0.455867 |
| airborne infection control | 0.383808 |
| MERS-CoV infection | 0.776262 |
| health-care provider | 0.377096 |
| Chicago O'Hare airport | 0.406736 |
| respiratory syndrome coronavirus | 0.541585 |
| home care | 0.416068 |
| Additional CDC guidance | 0.378303 |
|
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| 1281 |
Centers for Disease Control and Prevention |
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Health Department Use of Social Media to Identify FoodborneIllness - Chicago, Illinois, 2013-2014 |
Jenine K. Harris, PhD1, Raed Mansour, MS2, Bechara Choucair, MD2, Joe Olson3, Cory Nissen, MS3, Jay Bhatt, DO2 (Author affiliations at end of text). |
| immediate health hazard | 0.260373 |
| FoodBorne Chicago–prompted inspections | 0.404418 |
| CDPH | 0.280741 |
| project staff members | 0.460753 |
| foodborne illness surveillance | 0.517392 |
| tweets | 0.308119 |
| Boston Public Health | 0.263544 |
| foodborne chicago | 0.922407 |
| FoodBorne Chicago site | 0.402713 |
| New York City | 0.305666 |
| underreported public health | 0.264074 |
| Chicago Department | 0.272759 |
| web form complaints | 0.279464 |
| complaint-based health inspections | 0.302097 |
| Jenine K. Harris | 0.30787 |
| food establishments | 0.277894 |
| CDPH staff members | 0.273351 |
| routine inspections | 0.264703 |
| foodborne illness complaints | 0.489591 |
| conditions inspections | 0.261533 |
| foodborne illness | 0.808652 |
| FoodBorne Chicago complaint | 0.422761 |
| health inspections | 0.360908 |
| FoodBorne Chicago complaints | 0.468387 |
|
| possible foodborne illnesses | 0.401852 |
| unannounced health inspections | 0.299838 |
| Twitter | 0.271863 |
| CDPH food inspectors | 0.272776 |
| critical violations | 0.277043 |
| public health professionals | 0.271529 |
| Twitter messages | 0.271197 |
| foodborne chicago web | 0.438623 |
| local health departments | 0.270465 |
| public health | 0.340866 |
| food poisoning | 0.354512 |
| United States experience | 0.260481 |
| potential foodborne illness | 0.380026 |
| Chicago–prompted health inspections | 0.339068 |
| York City Department | 0.305727 |
| FoodBorne Chicago–prompted health | 0.437898 |
| Chicago restaurant locations | 0.274196 |
| FoodBorne Chicago inspections | 0.444904 |
| FoodBorne inspections | 0.384255 |
| Chicago FoodBorne forms | 0.389323 |
| Chicago web form | 0.311316 |
| follow-up inspections | 0.266668 |
| FoodBorne Chicago program | 0.391936 |
| possible foodborne illness | 0.413387 |
|
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Centers for Disease Control and Prevention |
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Vaccine Contraindications and Precautions Recommendations | CDC |
Guide to Contraindications for Childhood Vaccinations (pre-adolescent only) |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
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| 8874 |
Centers for Disease Control and Prevention |
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Nationwide Rubella Epidemic - Japan, 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. |
| congenital rubella virus | 0.540602 |
| accelerated rubella control | 0.535255 |
| rubella control | 0.569443 |
| rubella virus | 0.665679 |
| CRS cases | 0.450064 |
| later introduced rubella | 0.519677 |
| Vaccine Preventable Diseases | 0.42181 |
| high rubella immunity | 0.528647 |
| rubella vaccination | 0.606435 |
| hemagglutination inhibition antibody | 0.394088 |
| adult males | 0.444693 |
| rubella | 0.926759 |
| endemic rubella virus | 0.52843 |
| junior high school | 0.403556 |
| national immunization programs | 0.389077 |
| laboratory-confirmed rubella case | 0.524938 |
| World Health Organization | 0.454814 |
| Japan | 0.401703 |
| rubella incidence | 0.511572 |
| rubella surveillance | 0.581979 |
| PhD | 0.377347 |
| rubella virus transmission | 0.631324 |
| laboratory-confirmed rubella case* | 0.554892 |
| congenital rubella syndrome | 0.607297 |
|
| inhibition antibody levels | 0.393721 |
| Rubella case definition | 0.522253 |
| case-based rubella | 0.50633 |
| CRS prevention goal | 0.394767 |
| Laboratory-confirmed CRS case | 0.3918 |
| large rubella outbreaks | 0.523423 |
| CRS | 0.477412 |
| single-antigen rubella vaccine | 0.64153 |
| rubella disease | 0.529298 |
| single rubella vaccine | 0.568262 |
| rubella vaccination program | 0.55541 |
| high population immunity | 0.402363 |
| rubella vaccine | 0.802487 |
| population immunity | 0.402654 |
| Susan E. Reef | 0.379665 |
| Technical Advisory Group | 0.391465 |
| rubella cases | 0.920264 |
| national immunization program | 0.410408 |
| rubella hemagglutination inhibition | 0.542495 |
| rubella antibody | 0.522717 |
| CRS prevention | 0.405466 |
| local public health | 0.380636 |
| vaccination history | 0.398723 |
| CRS surveillance | 0.375683 |
|
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| 10897 |
Centers for Disease Control and Prevention |
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en |
Preventing Norovirus Outbreaks | Digital Press Kit | CDC Online Newsroom |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| 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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| 11139 |
Centers for Disease Control and Prevention |
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2008 National Report on Biochemical Indicators of Diet and Nutrition - Table 2.8 |
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| 13525 |
Centers for Disease Control and Prevention |
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Other Complications | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| contact lens wearer | 0.781026 |
| Efron N,Morgan PB | 0.662767 |
| Schein O. Epidemiology | 0.670151 |
| clear dome | 0.597685 |
| Chalmers RL | 0.70812 |
| clinical practices | 0.592499 |
| Lancet. | 0.515075 |
| appointment | 0.516278 |
| tips | 0.515499 |
| milder symptoms | 0.609931 |
| lens materials | 0.624073 |
| Keay | 0.595081 |
| Clin Exp Optom. | 0.676806 |
| Kern | 0.515714 |
| Ophthalmology | 0.515693 |
| contact lenses | 0.968776 |
| eye drops | 0.609809 |
| risk factors | 0.674448 |
| Academy | 0.515815 |
| 650-3 | 0.515038 |
| Hill EA | 0.587692 |
| microbial keratitis | 0.788722 |
| contact lens-related inflammation | 0.690914 |
| eye doctor | 0.776453 |
| Long | 0.515295 |
|
| Giles | 0.516182 |
| Raynor MK | 0.593472 |
| Dart JK | 0.589877 |
| eyes | 0.534945 |
| contact lens | 0.791934 |
| Eye Contact Lens. | 0.696338 |
| contact lens wear | 0.715322 |
| morbidity | 0.518795 |
| Bullimore M. Risk | 0.680457 |
| Tullo AB | 0.584173 |
| corneal infiltrative events | 0.667328 |
| vision benefits | 0.608727 |
| corneal infiltrates | 0.607088 |
| care instructions | 0.607029 |
| Bergenske | 0.515281 |
| pair | 0.51605 |
| Rare infections | 0.604476 |
| 20-year perspective | 0.595115 |
| Contact lens-related eye | 0.699759 |
| McNally | 0.518837 |
| Multicenter case-control study | 0.679446 |
| Optom Vis Sci. | 0.834417 |
| D. Contact lenses | 0.770805 |
| contact lens complications | 0.755659 |
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Centers for Disease Control and Prevention |
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Increase in Adverse Reactions Associated with Use ofSynthetic Cannabinoids - Anchorage, Alaska, 2015-2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| multiple SC chemicals | 0.643133 |
| emergency department personnel | 0.526726 |
| adverse reaction | 0.506891 |
| emergency department visits | 0.908485 |
| Anchorage hospital emergency | 0.509024 |
| different SC chemicals†| 0.53656 |
| self-reported SC | 0.526478 |
| SC chemicals | 0.771682 |
| SC transports | 0.673531 |
| chemically diverse class | 0.500261 |
| educational outreach | 0.505188 |
| liquid form | 0.499208 |
| health care providers | 0.527307 |
| SCs | 0.532392 |
| ambulance transport data | 0.562587 |
| adverse reactions | 0.633273 |
| ambulance transports | 0.530509 |
| local SC dealers | 0.533913 |
| SC emergency department | 0.749306 |
| Alaska Division | 0.52707 |
| adverse SC reactions | 0.788823 |
| homeless persons | 0.495023 |
| potent SC | 0.512685 |
| SC transport | 0.546586 |
| outbreak investigation period | 0.599575 |
|
| Anchorage emergency departments | 0.501529 |
| different SC chemicals | 0.590387 |
| local SC manufacturers | 0.530743 |
| adverse health outcomes | 0.510531 |
| Anchorage emergency health | 0.523569 |
| emergency department visit | 0.503843 |
| SC | 0.849828 |
| clinical outcomes | 0.499285 |
| Anchorage Fire Department | 0.507309 |
| emergency health care | 0.530103 |
| daily SC transport | 0.539739 |
| law enforcement actions | 0.521228 |
| public health | 0.664256 |
| health care | 0.578515 |
| nonmilitary hospitals | 0.495468 |
| health care systems | 0.519638 |
| Department ambulance transport | 0.496988 |
| public health investigation | 0.51939 |
| refillable electronic cigarette | 0.496335 |
| SC poisonings | 0.526806 |
| witness-reported observed SC | 0.544615 |
| considerable health risks | 0.531789 |
| local SC | 0.535519 |
| main psychoactive component | 0.503242 |
|
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