| 8379 |
Centers for Disease Control and Prevention |
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Three Cases of Congenital Rubella Syndrome in thePostelimination Era - Maryland, Alabama, and Illinois, 2012 |
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. |
| rubella-containing vaccine | 0.543499 |
| rubella RNA | 0.623171 |
| rubella control | 0.55029 |
| infant | 0.514469 |
| rubella virus | 0.742058 |
| CRS cases | 0.511434 |
| CRS elimination goal | 0.529817 |
| varicella-like rash | 0.476159 |
| rubella vaccination programs | 0.620102 |
| rubella IgM antibody | 0.586007 |
| mother | 0.49045 |
| rubella component | 0.549979 |
| rubella | 0.889775 |
| endemic rubella virus | 0.624567 |
| patent ductus arteriosus | 0.498895 |
| rubella infection | 0.545365 |
| CRS patient | 0.516872 |
| rubella virus genotype | 0.611857 |
| prenatal care | 0.474009 |
| rubella IgM test | 0.652053 |
| late 20s | 0.476951 |
| throat swab | 0.54333 |
| positive rubella IgM | 0.658197 |
| congenital rubella syndrome | 0.63606 |
| regional rubella | 0.550082 |
|
| congenital heart defects | 0.503649 |
| rubella IgG | 0.59503 |
| United States | 0.966692 |
| CRS | 0.699185 |
| rubella virus infections | 0.622628 |
| CRS diagnosis | 0.539939 |
| health-care providers | 0.483119 |
| Albert E. Barskey | 0.474503 |
| appropriate specimens | 0.497523 |
| rubella IgM | 0.78419 |
| rubella vaccine | 0.587215 |
| CRS elimination | 0.583811 |
| rubella vaccination status | 0.589584 |
| rubella testing | 0.561133 |
| public health concern | 0.49767 |
| rubella cases | 0.553373 |
| intrauterine growth retardation | 0.479306 |
| public health | 0.611379 |
| rubella antibody | 0.56418 |
| birth defects | 0.489273 |
| CRS control | 0.503484 |
| rubella IgG result | 0.584234 |
| routine vaccination schedule | 0.545111 |
| major rubella epidemic | 0.605861 |
|
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| 8386 |
Centers for Disease Control and Prevention |
Html |
es |
Preventing Chronic Disease - CDC: Volume 10, 2013:12_0276 |
Volumen 10 — el 28 de marzo de 2013. |
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CLICK HERE |
| 10211 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Tetanus'PSAs for Disasters |
The Centers for Disease Control and Prevention (CDC) provides Public Service Announcements (PSAs) to help share life-saving information during natural disasters and severe weather. English and Spanish PSAs are in a variety of formats including text, audio, and video. |
| Water | 0.523589 |
| Carbon Monoxide Poisoning | 0.593614 |
| Kreyòk Ayisyen | 0.528926 |
| DME Batteries | 0.539967 |
| Generator Safety | 0.526936 |
| Cold Weather | 0.576627 |
| Apre yon Katastwòf | 0.519098 |
| Sanitize Food Cans | 0.511536 |
| Loved Ones | 0.536427 |
| Mold Cleaning | 0.518854 |
| Haitian Creole | 0.56641 |
| yon Katastwòf Natirèl | 0.519261 |
| disasters | 0.511449 |
| Kid | 0.536966 |
| Pet Kit | 0.551677 |
| Cans Swollen | 0.536185 |
| Pet Microchip | 0.528772 |
| Kids | 0.51815 |
| Heat | 0.518704 |
| Chain Saw Injuries | 0.522181 |
| Canned Drinks | 0.521924 |
| Cell Phone | 0.524477 |
| Renal Diet | 0.536439 |
| Preparedness Tip | 0.963606 |
|
| Hypothermia | 0.516852 |
| Evacuation Centers | 0.513584 |
| Supply Recheck | 0.536853 |
| Carbon Monoxide | 0.600726 |
| Spanish [Español] | 0.522848 |
| Food – Perishables | 0.52187 |
| Food – Canned | 0.520647 |
| Food – Cans | 0.532221 |
| Early Treatment | 0.533557 |
| Extreme Heat | 0.513166 |
| Safety | 0.527094 |
| Stay | 0.513724 |
| Food | 0.537248 |
| Flood Water | 0.521592 |
| Disaster Preparedness | 0.583267 |
| Older Adults | 0.512552 |
| Emergency Wound Care | 0.514803 |
| Dialysis Kit | 0.533621 |
| Public Service Announcements | 0.516163 |
| Educational Materials | 0.511783 |
| Power Outage Spanish | 0.512924 |
| Worker Safety | 0.512329 |
| severe weather | 0.511548 |
| Power Line | 0.524657 |
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| 10525 |
Centers for Disease Control and Prevention |
Html |
en |
Conference Call January 28, 2014'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| financial interests | 0.443444 |
| veterinary profession | 0.432406 |
| Universal Activity Number | 0.563601 |
| National Commission | 0.446323 |
| ANSI/IACET CEU | 0.462438 |
| AAVSB RACE approval | 0.5581 |
| planners | 0.343745 |
| commercial supporters | 0.437657 |
| Accreditation Council | 0.600687 |
| physicians | 0.352549 |
| Disease Control | 0.987479 |
| live activity | 0.460268 |
| commercial services | 0.443506 |
| ongoing malaria transmission | 0.789829 |
| malaria prevention strategies | 0.785032 |
| total Category | 0.439092 |
| American Nurses | 0.447565 |
| education contact | 0.66959 |
| Master Certified Health | 0.571474 |
| commercial products | 0.443653 |
| Authorized Provider | 0.455596 |
| malaria infections | 0.658666 |
| Old Meadow Road | 0.574297 |
| education requirements | 0.491977 |
|
| suspect malaria | 0.63897 |
| Centers | 0.446385 |
| regions | 0.351993 |
| AMA PRA Category | 0.584745 |
| United States | 0.473861 |
| aavsb race program | 0.732522 |
| International Association | 0.451266 |
| Certified Health Education | 0.766872 |
| CHES | 0.334246 |
| CECH | 0.343877 |
| Health Education Specialists | 0.76678 |
| CDC provider number | 0.617454 |
| environmental conditions | 0.470686 |
| Health Education Credentialing | 0.635475 |
| level continuing education | 0.642869 |
| Continuing Nursing Education | 0.661962 |
| Continuing Medical Education | 0.669356 |
| increase | 0.346118 |
| malaria cases | 0.796178 |
| IACET CEU | 0.465113 |
| pharmacy education | 0.632126 |
| treatment options | 0.45996 |
| maximum | 0.352802 |
| confirmed malaria cases | 0.768941 |
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| 11198 |
Centers for Disease Control and Prevention |
Html |
en |
Multistate Outbreak of Listeriosis Linked to Roos FoodsDairy Products | Listeria |
null |
| Listeria monocytogenes infections | 0.461225 |
| Roos Foods cheese | 0.57454 |
| new ill persons | 0.473751 |
| mother–newborn pairs | 0.390527 |
| Public health investigators | 0.401055 |
| likely source | 0.390736 |
| clear plastic | 0.417484 |
| ill persons | 0.701658 |
| Consolidated Laboratory Services | 0.517304 |
| press release | 0.389623 |
| pre-packaged cheese products | 0.427053 |
| Hispanic ethnicity | 0.389895 |
| cheese products | 0.530205 |
| Chain A store | 0.400819 |
| whole-genome sequencing | 0.387792 |
| Listeria monocytogenes | 0.839805 |
| Lima brands | 0.406574 |
| Maryland Department | 0.400046 |
| Foods cheese products | 0.52938 |
| fresh curd cheese | 0.423125 |
| food facility registration | 0.496546 |
| pulsed-field gel electrophoresis | 0.466685 |
| public health laboratories | 0.399668 |
| Roos Foods | 0.966363 |
| Maryland | 0.430742 |
|
| Virginia | 0.406331 |
| national subtyping network | 0.408496 |
| Santa Rosa | 0.434993 |
| ill people | 0.39061 |
| multistate outbreak | 0.383375 |
| fresh cheese curd | 0.474383 |
| FDA | 0.414425 |
| Listeria monocytogenes strains | 0.408702 |
| different locations | 0.387014 |
| Drug Administration | 0.419321 |
| semi-soft Hispanic-style cheese | 0.475358 |
| Chain A stores | 0.418506 |
| food store chain | 0.443496 |
| outbreak strain Listeria | 0.424106 |
| outbreak strain | 0.604808 |
| public health | 0.501791 |
| food regulatory laboratories | 0.401566 |
| Listeria WGS project | 0.443747 |
| Consumer Services | 0.381789 |
| CDC Listeria Web | 0.391115 |
| oz. plastic containers | 0.394788 |
| local public health | 0.402254 |
| Listeria monocytogenes infection | 0.409815 |
| Mental Hygiene | 0.413855 |
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| 11477 |
Centers for Disease Control and Prevention |
Html |
en |
ELISA Software for Bioassays | Manual | Process Reader Data |
Module 1 of the ELISA for Windows user's manual: Process ELISA Reader Data. |
| .EIA extension | 0.450254 |
| plate data | 0.412995 |
| reader software | 0.383061 |
| data capture | 0.464756 |
| data format | 0.411794 |
| MR5000 ELISA reader | 0.562737 |
| current ELISA readers | 0.579457 |
| Dynatech MR700 reader | 0.52778 |
| digit names | 0.382554 |
| two-character file | 0.420288 |
| raw data files | 0.67766 |
| file selection dialog | 0.625903 |
| two-letter raw data | 0.475448 |
| plates | 0.383316 |
| data conversion option | 0.47891 |
| raw data | 0.976349 |
| selection dialog window | 0.62068 |
| extraneous text | 0.400088 |
| correctly abstract data | 0.477055 |
| ELISA reader | 0.660767 |
| different ELISA readers | 0.604796 |
| two-character raw data | 0.594998 |
| Bio-Tek readers | 0.385595 |
| particular assay | 0.384663 |
|
| REF SAM line | 0.453393 |
| ELISA | 0.865361 |
| header records | 0.475502 |
| ELISA readers | 0.712974 |
| great flexibility | 0.38919 |
| Dynatech option | 0.665075 |
| raw data file | 0.764687 |
| Windows | 0.49793 |
| file ML | 0.399836 |
| process data files | 0.499092 |
| Dynatech MR5000 reader | 0.530101 |
| comment lines | 0.531065 |
| character file | 0.399971 |
| additional comment lines | 0.452276 |
| module strip | 0.388629 |
| file list box | 0.582281 |
| date information | 0.451777 |
| file name ML081204.DAT | 0.399187 |
| Operations Qualification Protocol | 0.461514 |
| data collection | 0.402182 |
| Dynatech readers | 0.518707 |
| particular file | 0.40288 |
| sample raw data | 0.497476 |
| user | 0.451578 |
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| 11893 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Trends in the Prevalence ofMultiple Chronic Conditions in Taiwan From 2000 to 2010: APopulation-Based Study - CDC |
Chronic conditions are the leading causes of death and disability worldwide. Providing care to people diagnosed with a chronic disease is challenging, and controlling multiple chronic conditions (MCCs) can be overwhelming, particularly in rapidly aging societies. The objective of this study was to examine the prevalence of MCCs from 2000 to 2010 in Taiwan. |
| MCCs | 0.991257 |
| well-defined monthly wage | 0.43933 |
| highest prevalence | 0.45399 |
| local office beneficiaries | 0.411101 |
| National Yang Ming | 0.447548 |
| multiple chronic conditions | 0.502648 |
| prevalence rates | 0.435491 |
| Clinical Classifications Software | 0.407694 |
| chronic condition increases | 0.383656 |
| chronic condition | 0.559464 |
| health care services | 0.406621 |
| sex-specific prevalence | 0.442922 |
| well-defined monthly wages | 0.438965 |
| study period | 0.442072 |
| nonfatal chronic conditions | 0.399158 |
| age groups | 0.576145 |
| prevalent chronic conditions | 0.414641 |
| relative increase | 0.434562 |
| chronic disease | 0.400252 |
| Taiwan | 0.412074 |
| National Health Insurance | 0.50708 |
| older people | 0.412002 |
| chronic conditions increases | 0.415012 |
| study | 0.468249 |
| Introduction
Chronic conditions | 0.423671 |
|
| Taiwan National Health | 0.387475 |
| Public Health | 0.381517 |
| overall prevalence | 0.443248 |
| overall MCC prevalence | 0.455511 |
| age group | 0.396683 |
| Health Insurance Research | 0.415829 |
| general population | 0.447948 |
| actual prevalence | 0.424364 |
| prevalence estimates | 0.441415 |
| prevalence | 0.784861 |
| ascertain cross-sectional prevalence | 0.459501 |
| health care | 0.601025 |
| health care systems | 0.457192 |
| older population | 0.387889 |
| disease | 0.435454 |
| people | 0.501204 |
| Taiwanese new dollar | 0.394312 |
| chronic conditions | 0.807292 |
| Chronic Condition Indicator | 0.441576 |
| Insurance Research Database | 0.406565 |
| define MCCs | 0.512342 |
| single chronic conditions | 0.400358 |
| Yang Ming University | 0.451443 |
| MCCs increases | 0.522233 |
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| 11979 |
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Preguntas y respuestas sobre la enfermedad del Ébola |
null |
| CDC | 0.75553 |
| CDC’s Travelers | 0.567103 |
| West Africa region | 0.507452 |
| affected countries | 0.484202 |
| Health Presbyterian Hospital | 0.494586 |
| Health Alert Notice | 0.500245 |
| Ebola virus | 0.581279 |
| Texas Health Presbyterian | 0.547987 |
| New York City | 0.479583 |
| Ebola outbreak | 0.751431 |
| contact | 0.495474 |
| public health risk | 0.508509 |
| additional cases | 0.623495 |
| response capacities | 0.488841 |
| sick people | 0.586963 |
| ongoing surveillance | 0.483059 |
| body fluids | 0.768794 |
| public health officials | 0.495951 |
| travelers | 0.636623 |
| public health experts | 0.512219 |
| Ebola patients | 0.585518 |
| Ebola | 0.965879 |
| CDC officials | 0.520569 |
| U.S. healthcare workers | 0.492806 |
|
| enhanced entry screening | 0.481214 |
| Health Ebola webpage | 0.716554 |
| United States | 0.871652 |
| Sierra Leone | 0.495138 |
| U.S. public health | 0.498171 |
| sick travelers | 0.629851 |
| Africa Ebola outbreak | 0.720087 |
| local health departments | 0.572379 |
| public health | 0.746389 |
| visit CDC | 0.572722 |
| Widespread transmission | 0.535991 |
| Border Protection | 0.481705 |
| public health actions | 0.505914 |
| West Africa Ebola | 0.711134 |
| necessary public health | 0.503121 |
| public health field | 0.507818 |
| close personal contact | 0.4836 |
| Monitoring Travelers | 0.495687 |
| West Africa | 0.971107 |
| healthcare workers | 0.608514 |
| Ebola fact sheet | 0.642225 |
| male Ebola survivors | 0.621372 |
| dead bodies | 0.544592 |
| public health action | 0.573971 |
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| 12391 |
Centers for Disease Control and Prevention |
Image |
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Were You Recently in the American Tropics? (300W x 170H) |
null |
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| 16191 |
Centers for Disease Control and Prevention |
Html |
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Notes from the Field: Photokeratoconjunctivitis OutbreakAssociated with Damaged Metal Halide Lamps - Maharashtra State,Western India, June 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Field Epidemiology Training | 0.402693 |
| FETP trainees | 0.355195 |
| event organizers | 0.393415 |
| symptom onset | 0.352385 |
| Human Services | 0.379375 |
| chi-square test | 0.351085 |
| temporary mass gatherings | 0.380684 |
| Aurangabad district | 0.413679 |
| U.S. Department | 0.379415 |
| Attack rates | 0.500919 |
| electronic PDF version | 0.383038 |
| speakers | 0.356295 |
| Zalta village | 0.4167 |
| 4District Health Office | 0.386512 |
| red eyes | 0.352833 |
| temporary covered area | 0.389694 |
| patients | 0.356054 |
| Pimpriraja Primary Health | 0.40863 |
| damaged lamps | 0.400758 |
| metal halide lights | 0.517926 |
| 3District Health Office | 0.386598 |
| eye-related signs | 0.35879 |
| following eye-related symptoms | 0.409291 |
| persons | 0.407349 |
| outer glass envelope | 0.390289 |
|
| broken metal halide | 0.496025 |
| halide lights indoors | 0.435927 |
| District Surveillance Office | 0.379701 |
| various groups | 0.349761 |
| outer envelope | 0.390923 |
| high poles | 0.349569 |
| Figure). | 0.352217 |
| western India | 0.362994 |
| original MMWR paper | 0.384746 |
| 2Field Epidemiology Training | 0.382467 |
| Maharashtra State | 0.360805 |
| Epidemiology Training Program | 0.480344 |
| outer envelope emit | 0.390048 |
| platform | 0.367909 |
| foreign body sensation | 0.395378 |
| intense white light | 0.384463 |
| Disease Surveillance Program | 0.400389 |
| metal halide lamps | 0.963983 |
| outer envelopes | 0.349536 |
| eye symptoms | 0.360265 |
| rows | 0.351753 |
| event attendee | 0.363596 |
| political event | 0.356511 |
| metal halide gases | 0.448151 |
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