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Centers for Disease Control and Prevention |
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Mumps | CDC Features |
Mumps vaccine is the best way to protect your child against mumps, a contagious disease that can cause serious complications. |
| college | 0.233111 |
| health insurance | 0.380947 |
| best way | 0.430966 |
| insurance provider | 0.296669 |
| program | 0.233109 |
| children | 0.321615 |
| long-lasting problems | 0.305609 |
| highly vaccinated U.S. | 0.418681 |
| swollen jaw | 0.313968 |
| long-term health problems | 0.398518 |
| rubella | 0.25424 |
| diseases | 0.239648 |
| puffy cheeks | 0.319614 |
| effects | 0.237217 |
| viral encephalitis | 0.316183 |
| mumps vaccine | 0.821166 |
| rare cases | 0.298914 |
| high vaccination coverage | 0.392112 |
| mumps | 0.987273 |
| child | 0.39332 |
| doses | 0.250447 |
| mumps outbreaks | 0.701938 |
| vaccines | 0.313758 |
| fever | 0.238637 |
| cause | 0.224854 |
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| sudden deafness | 0.314551 |
| immunization records | 0.323964 |
| MMRV vaccine | 0.420166 |
| trade school | 0.301263 |
| muscle aches | 0.315344 |
| combination vaccine | 0.517956 |
| healthcare professionals | 0.298044 |
| eligible children | 0.304683 |
| higher risk | 0.295749 |
| health insurance plans | 0.374364 |
| salivary glands | 0.319639 |
| mumps cases | 0.572791 |
| Talk | 0.241521 |
| varicella | 0.223804 |
| doctor | 0.253158 |
| rash | 0.223153 |
| MMR vaccine. Learn | 0.435683 |
| state VFC coordinator | 0.377972 |
| close-contact settings | 0.30226 |
| international travelers | 0.299874 |
| appetite | 0.222208 |
| measles | 0.252434 |
| MMR vaccine | 0.678751 |
| contagious disease | 0.421704 |
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Centers for Disease Control and Prevention |
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Photograph of lobster tank (700W x 933H) |
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Centers for Disease Control and Prevention |
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Evaluación de percepciones y respuestas a múltiples riesgos de salud en la personas pobres del sur |
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| conductas protectoras | 0.828506 |
| baja eficacia | 0.508875 |
| Johnson-Turbes CA | 0.518727 |
| Freimuth VS | 0.527786 |
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| Estados Unidos | 0.954413 |
| Chronic Dis | 0.530776 |
| múltiples riesgos | 0.710777 |
| Chervin DD | 0.541867 |
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Centers for Disease Control and Prevention |
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Two-tiered Testing Decision Tree for Lyme Disease |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| Lyme disease | 0.668968 |
| figure | 0.439517 |
| cases | 0.439015 |
| Two-tier Testing Decision | 0.919067 |
| IFA | 0.46616 |
| IgG Western Blot | 0.880123 |
| Enzyme Immunoassay | 0.686773 |
| alternative diagnosis | 0.626384 |
| IgM Western Blot | 0.931599 |
| test yields | 0.657426 |
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| steps | 0.4516 |
| symptoms | 0.500039 |
| convalescent serum | 0.681099 |
| provider | 0.467048 |
| patient | 0.564379 |
| options | 0.437268 |
| Tree | 0.443816 |
| Immunofluorescence Assay | 0.693882 |
| EIA | 0.466421 |
| negative results | 0.624323 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0244 |
CDC - Wide Page example description goes here |
| posibles factores | 0.653492 |
| Estados Unidos | 0.92856 |
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Centers for Disease Control and Prevention |
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Short and Extended Messages'Resources' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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Centers for Disease Control and Prevention |
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¡Cuidado con ese bocado!Cómo proteger a aquellos en riesgo de intoxicaciones alimentariaspor listeria |
Algunas veces los alimentos que nos encantan y que confiamos que son buenos para la salud están contaminados con microbios que causan enfermedades y que pueden ser mortales para ciertas personas |
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Centers for Disease Control and Prevention |
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Notes from the Field: Update on Lyme Carditis, Groups atHigh Risk, and Frequency of Associated Sudden Cardiac Death -United States |
Joseph D. Forrester, MD1,2, Jonathan Meiman, MD1,3, Jocelyn Mullins, DVM, PhD1,4, Randall Nelson, DVM4, Starr-Hope Ertel4, Matt Cartter, MD4, Catherine M. Brown, DVM5, Virginia Lijewski, MPH5, Elizabeth Schiffman, MA6, David Neitzel, MS6, Elizabeth R. |
| current treatment guidelines | 0.363723 |
| Lyme disease | 0.914557 |
| P. Bryon Backenson | 0.377375 |
| health care provider | 0.383846 |
| York State Department | 0.372161 |
| Lyme disease area | 0.539549 |
| age-adjusted death rates | 0.37505 |
| Zoonotic Infectious Disease | 0.422853 |
| public health departments | 0.40028 |
| observed all-cause mortality | 0.375047 |
| accompanying erythema migrans | 0.381702 |
| disease symptom onset | 0.448918 |
| health care providers | 0.461233 |
| Lyme disease symptom | 0.596038 |
| Lyme disease states | 0.543442 |
| sudden cardiac arrest | 0.397746 |
| Lyme disease diagnosis | 0.569628 |
| Lyme disease cases | 0.569557 |
| Natalie R. Kratz | 0.37848 |
| Lyme disease region | 0.519553 |
| patients | 0.447219 |
| public health partners | 0.38611 |
| Phillip M. Kurpiel | 0.375333 |
| Abigail A. Mathewson | 0.376945 |
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| lyme carditis | 0.978969 |
| surveillance case definition | 0.367332 |
| state public health | 0.449948 |
| atrioventricular conduction block | 0.368116 |
| 1Epidemic Intelligence Service | 0.362952 |
| Associated Sudden Cardiac | 0.414743 |
| Catherine M. Brown | 0.375017 |
| sudden cardiac deaths | 0.391787 |
| Notifiable Disease Surveillance | 0.395821 |
| sudden cardiac death | 0.464204 |
| clinical information | 0.373362 |
| certain demographic groups | 0.372438 |
| public health | 0.479502 |
| cardiac tissue | 0.386369 |
| polymerase chain reaction | 0.364982 |
| New Jersey Department | 0.373246 |
| high-incidence Lyme disease | 0.660715 |
| Lyme disease case | 0.555079 |
| 8New Jersey Department | 0.372306 |
| Vector-Borne Infectious Diseases | 0.362723 |
| erythema migrans | 0.421666 |
| Diep Hoang Johnson | 0.379932 |
| chest pain | 0.364721 |
| available clinical information | 0.372572 |
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Assessment of HPV Types in Cancers |
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| Los Angeles County | 0.32264 |
| numbers | 0.213448 |
| Journal | 0.213793 |
| CDC study | 0.289524 |
| HPV types | 0.657733 |
| clinical data | 0.267429 |
| health impact | 0.320008 |
| Detection Program | 0.261701 |
| percentage | 0.21381 |
| Unger | 0.212881 |
| vagina | 0.237321 |
| following links | 0.264639 |
| researchers | 0.236803 |
| anus | 0.240009 |
| cervical cancers | 0.38915 |
| HPV-associated cancers | 0.593207 |
| tonsils | 0.226757 |
| human papillomavirus | 0.359485 |
| cancers | 0.597169 |
| online first. | 0.263604 |
| HPV infections | 0.512669 |
| Natl Cancer Inst. | 0.330778 |
| 9-valent HPV vaccine | 0.586729 |
| HPV Cancer Prevention | 0.542317 |
| United States | 0.398811 |
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| throat | 0.23125 |
| tongue | 0.230926 |
| HPV vaccine | 0.673656 |
| HPV type | 0.494957 |
| cancer registries | 0.477158 |
| vulva | 0.242668 |
| HPV | 0.910647 |
| genital warts | 0.271345 |
| accurate estimates | 0.26318 |
| potential impact | 0.266831 |
| National Cancer Institute | 0.353746 |
| cancer cases | 0.306619 |
| National Breast | 0.257929 |
| penis | 0.235023 |
| Back-to-School Checklist | 0.265912 |
| following activities | 0.262943 |
| hpv vaccines | 0.784605 |
| important starting point | 0.31507 |
| tissue samples | 0.276839 |
| bivalent HPV vaccine | 0.5924 |
| et al | 0.262836 |
| information | 0.239591 |
| 9-valent HPV Vaccines | 0.589331 |
| Cervical Cancer Early | 0.324446 |
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Association Between User-Generated Commuting Data andPopulation-Representative Active Commuting Surveillance Data - FourCities, 2014-2015 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| transportation officials | 0.494218 |
| active transportation programs | 0.560702 |
| U.S. cities | 0.523482 |
| higher block group | 0.497114 |
| GPS-based commuting data | 0.495315 |
| rank block groups | 0.496131 |
| number | 0.487534 |
| population density | 0.593834 |
| GPS-tracked data sources | 0.50622 |
| active transportation data | 0.667143 |
| non-work active transportation | 0.499146 |
| active transportation | 0.953258 |
| public health surveillance | 0.572828 |
| ACS samples | 0.500699 |
| block group estimates | 0.500222 |
| User-generated GPS data | 0.504512 |
| block group level | 0.504577 |
| user-generated active transportation | 0.65995 |
| block groups | 0.795709 |
| population-representative active transportation | 0.513961 |
| general U.S. population | 0.482884 |
| census block groups | 0.517093 |
| population-representative commuting data | 0.495192 |
| public health practice | 0.479923 |
| ACS active commuters | 0.800198 |
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| ACS commuter variables | 0.502229 |
| application users | 0.509091 |
| GPS-tracked active commuters | 0.547925 |
| traditional active transportation | 0.559652 |
| active transportation surveillance | 0.640386 |
| GPS-tracked commuters | 0.628709 |
| GPS-tracked commuting data | 0.497135 |
| ACS cycles | 0.495666 |
| GPS-tracked active transportation | 0.52346 |
| general population | 0.493775 |
| higher population density | 0.476658 |
| block group | 0.770412 |
| user-generated data | 0.482316 |
| public health | 0.609312 |
| block group population | 0.548516 |
| data collection | 0.506339 |
| in-person data collection | 0.480745 |
| physical activity | 0.51674 |
| Census block group | 0.508739 |
| San Francisco | 0.579883 |
| user-generated GPS-tracked | 0.502146 |
| ACS respondents | 0.484546 |
| transportation surveillance systems | 0.500767 |
| public health priority | 0.477993 |
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