| 5157 |
Centers for Disease Control and Prevention |
Html |
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Minnesota Activities to Prevent HAIs |
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| Injection Safety | 0.685923 |
| Laboratory Network | 0.42684 |
| Healthcare-associated Infections | 0.416995 |
| Antimicrobial Resistance Regional | 0.579063 |
| HAI Detection | 0.525694 |
| email address | 0.537284 |
| CDI | 0.32998 |
| navigation Skip | 0.555034 |
| recent work | 0.538778 |
| Infection Prevention | 0.467508 |
| Clostridium difficile infection | 0.577534 |
| Appropriate Antibiotic | 0.441331 |
| Educational Efforts | 0.429605 |
|
| ACA | 0.326692 |
| list Skip | 0.556914 |
| monthly update | 0.551405 |
| page options Skip | 0.676213 |
| Coordinated Prevention | 0.445643 |
| ELC HAI-funded Activities | 0.559264 |
| Infection Control Assessment | 0.557958 |
| Affordable Care Act | 0.514093 |
| Antimicrobial Resistance | 0.591878 |
| infectious disease | 0.554152 |
| Laboratory Capacity | 0.428675 |
| HAI Prevention Infrastructure | 0.927151 |
|
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| 7378 |
Centers for Disease Control and Prevention |
Html |
en |
Pandemic Resources Tools - FluWorkLoss 1.0 |
FluWorkLoss estimates the potential number of days lost from work due to an influenza pandemic - CDC |
| United States range | 0.614295 |
| endorsement | 0.246075 |
| Human Services | 0.399327 |
| Page | 0.237942 |
| family member | 0.422105 |
| Microsoft Corporation | 0.407082 |
| U.S. Department | 0.404581 |
| Excel | 0.265999 |
| pages | 0.243151 |
| percentage | 0.240452 |
| worker | 0.276415 |
| estimates | 0.304224 |
| period | 0.240318 |
| influenza pandemic | 0.902836 |
| seasonal influenza | 0.551451 |
| Download FluWorkLoss Spreadsheet | 0.742511 |
| wide variety | 0.409188 |
| commercial sources | 0.405333 |
| community | 0.240702 |
| case study | 0.570678 |
| users | 0.318512 |
| illness rates | 0.42515 |
| influenza-associated deaths | 0.437403 |
| human blood donors | 0.582615 |
| web browser | 0.408264 |
|
| severe pandemic | 0.625277 |
| United States | 0.654914 |
| input value | 0.420873 |
| potential number | 0.417411 |
| security level | 0.402325 |
| special planning | 0.428912 |
| pandemic influenza | 0.919563 |
| influenza-related illnesses | 0.414768 |
| times | 0.23915 |
| operations | 0.238932 |
| work loss | 0.423171 |
| potential impact | 0.558772 |
| total workdays | 0.738829 |
| public health | 0.4324 |
| typical influenza season | 0.741559 |
| economic problems | 0.437817 |
| graphic illustrations | 0.417356 |
| trade names | 0.405507 |
| people | 0.281111 |
| home | 0.237956 |
| Download FluWorkLoss Manual | 0.673495 |
| virulence | 0.253031 |
| possible impacts | 0.41934 |
| MS Windows | 0.407664 |
|
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| 7764 |
Centers for Disease Control and Prevention |
Html |
en |
Channels - Health Communication |
Gateway to Health Communication - Channels |
| Interactive Health Communication | 0.610343 |
| social marketing campaign | 0.634841 |
| Online resource | 0.473424 |
| best outreach strategy | 0.594858 |
| recreational safety helmets | 0.569013 |
| health information | 0.943348 |
| distinct channels | 0.478035 |
| Government Technology | 0.442038 |
| science-based health information | 0.676064 |
| information age | 0.469252 |
| health behaviors | 0.490593 |
| sun-protection products | 0.449917 |
| Preventive Services Task | 0.578329 |
| numerous channels | 0.497235 |
| Online U.S. News | 0.610554 |
| U.S. News Archives | 0.777843 |
| nicotine replacement therapy | 0.562183 |
| Media Relations | 0.463567 |
| World Usability | 0.445649 |
| Online health information | 0.695256 |
| Annual Summary | 0.457876 |
| government Web sites | 0.577695 |
| email source | 0.456511 |
| useful Web sites | 0.56946 |
| health content | 0.519805 |
|
| online video resource | 0.804434 |
| Online guide | 0.503405 |
| CDC Online Newsroom | 0.757682 |
| health campaign | 0.534917 |
| science-based information | 0.512646 |
| promotional portion | 0.471951 |
| public health information | 0.674009 |
| single telephone | 0.456437 |
| communication campaigns | 0.454252 |
| Web Accessibility Initiative | 0.567775 |
| National Contact Center | 0.588205 |
| right channels | 0.625198 |
| Event information | 0.475613 |
| reduced-priced related products | 0.575971 |
| child safety | 0.446859 |
| communication program | 0.484523 |
| Appropriate distribution | 0.466477 |
| health-related products | 0.453002 |
| CDC Social Media | 0.71003 |
| CDC eHealth Metrics | 0.729495 |
| Usability.gov – Online | 0.54955 |
| systematic review | 0.45063 |
| one-stop source | 0.460582 |
| Community Preventive Services | 0.776758 |
|
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| 9512 |
Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field: Recurrent Outbreak of Campylobacterjejuni Infections Associated with a Raw Milk Dairy - Pennsylvania,April-May 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. |
| multistate outbreak | 0.606389 |
| mmwrq@cdc.gov. | 0.565016 |
| PDA requirements | 0.571883 |
| probable case | 0.564267 |
| original MMWR paper | 0.599452 |
| U.S. Government Printing | 0.59694 |
| Repeat outbreaks | 0.576948 |
| Human Services | 0.59008 |
| dairy farms | 0.589281 |
| assistive technology | 0.563097 |
| bulk tank milk | 0.774002 |
| bovine bacterial shedding | 0.599555 |
| MMWR HTML versions | 0.595666 |
| U.S. Department | 0.589138 |
| previously implicated dairies | 0.603138 |
| raw milk dairies | 0.711305 |
| retail raw milk | 0.700845 |
| raw milk producers | 0.69908 |
| Pennsylvania Department | 0.641723 |
| inadequate quality control | 0.600264 |
| electronic PDF version | 0.596575 |
| campylobacteriosis outbreaks | 0.611083 |
| probable cases | 0.564948 |
| raw milk | 0.923851 |
|
| Pennsylvania Dept | 0.591669 |
| raw milk onsite | 0.724856 |
| milk coliform | 0.644147 |
| future outbreaks | 0.574109 |
| subject line | 0.563095 |
| Contact GPO | 0.559034 |
| retail milk samples | 0.695158 |
| Amanda Beaudoin | 0.600775 |
| Allison H. Longenberger | 0.595433 |
| Campylobacter jejuni | 0.595283 |
| laboratory-confirmed campylobacteriosis | 0.596795 |
| milk collection | 0.634091 |
| off-farm pick-up sites | 0.615994 |
| original paper copy | 0.592995 |
| associated cases | 0.562422 |
| C. jejuni strains | 0.619547 |
| pulsed-field gel electrophoresis | 0.603556 |
| MУ ria Moll | 0.598744 |
| somatic cell testing | 0.604917 |
| raw milk–associated outbreak | 0.667535 |
| dairy | 0.613887 |
| raw milk products | 0.692226 |
| Public health officials | 0.601975 |
|
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| 9536 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Emergency Medical Services Capacity for Prehospital Stroke Care in North Carolina - CDC |
Prior assessments of emergency medical services (EMS) stroke capacity found deficiencies in education and training, use of protocols and screening tools, and planning for the transport of patients. A 2001 survey of North Carolina EMS providers found many EMS systems lacked basic stroke services. |
| North Carolina | 0.970429 |
| stroke scale | 0.510061 |
| basic stroke | 0.481737 |
| EMS personnel | 0.519306 |
| screening tools | 0.487451 |
| stroke screening tools | 0.458386 |
| stroke signs | 0.42205 |
| stroke screen results | 0.435105 |
| stroke centers | 0.433593 |
| North Carolina EMS | 0.466903 |
| stroke educational topics | 0.534156 |
| Cincinnati Prehospital Stroke | 0.464691 |
| stroke care capacity | 0.569505 |
| validated stroke scale | 0.479513 |
| Angeles Prehospital Stroke | 0.45182 |
| prehospital stroke screening | 0.449844 |
| validated stroke | 0.562877 |
| Carolina EMS providers | 0.434458 |
| stroke capacity | 0.433962 |
| Prehospital Stroke Scale | 0.430217 |
| care capacity | 0.59936 |
| EMS stroke care | 0.582972 |
| EMS agencies | 0.493346 |
| stroke risk factors | 0.443334 |
| stroke care performance | 0.424726 |
|
| EMS systems | 0.83105 |
| Carolina EMS Data | 0.426711 |
| standardized EMS stroke | 0.507328 |
| county population density | 0.524949 |
| stroke care practices | 0.500268 |
| basic stroke services | 0.43897 |
| patient volume | 0.481541 |
| stroke patients | 0.510828 |
| county-based EMS systems | 0.430932 |
| prehospital stroke care | 0.56465 |
| maximum stroke care | 0.435907 |
| stroke patient care | 0.437068 |
| stroke training sessions | 0.476625 |
| EMS education | 0.424855 |
| emergency medical services | 0.465818 |
| stroke care | 0.655211 |
| prehospital stroke | 0.581598 |
| stroke training | 0.502783 |
| acute stroke patients | 0.465814 |
| validated stroke scales | 0.483912 |
| high stroke care | 0.423279 |
| stroke | 0.722786 |
| validated stroke screening | 0.463919 |
| Prehospital Stroke Screen | 0.474514 |
|
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| 10297 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease GIS Snapshot | Geographic Access to Diabetes Prevention Program Sites: New York State Department of Health - CDC |
New York’s Division of Chronic Disease Prevention has supported the delivery of the Diabetes Prevention Program (DPP) through community-based organizations across the state. The DPP is a 16-week lifestyle change program designed to prevent or delay type 2 diabetes in adults who are at high risk for the disease. In 2009, 10 YMCA sites across the state were selected to deliver the program. |
| State Behavioral Risk | 0.640401 |
| York State Department | 0.761289 |
| York City Community | 0.646182 |
| Risk Factor Surveillance | 0.635725 |
| York State Behavioral | 0.651157 |
| New York Association | 0.607879 |
| New York City | 0.695054 |
| City Community Health | 0.639446 |
| Disease Control | 0.592774 |
| potential program sites | 0.585179 |
| 30-minute drive-time | 0.648355 |
| 30-minute drive time | 0.659729 |
| York State Office | 0.601792 |
| New York State | 0.974847 |
| lifestyle change program | 0.573208 |
| community-based organizations | 0.609359 |
| York’s population | 0.581591 |
| Chronic Disease Directors | 0.574109 |
| DPP sites | 0.638682 |
| Potential DPP sites | 0.609171 |
| independent living | 0.570395 |
| chronic disease | 0.673618 |
| prevention program sites | 0.650973 |
| diabetes prevention program | 0.837496 |
| Behavioral Risk Factor | 0.635912 |
|
| diabetes prevention programs | 0.600397 |
| Prevention Cooperative Agreement | 0.569874 |
| street-level network analysis | 0.567056 |
| 30-minute drive-time buffers | 0.603746 |
| high diabetes risk-factor | 0.583397 |
| potential Diabetes Prevention | 0.61333 |
| additional community-based organizations | 0.571456 |
| existing diabetes prevention | 0.612696 |
| independent living centers | 0.569358 |
| risk-factor score | 0.571222 |
| 30-minute drive-time boundaries | 0.619011 |
| New York | 0.977041 |
| Chronic Disease Evaluation | 0.627921 |
| federally qualified health | 0.57147 |
| Community Health Survey | 0.640582 |
| Prevention Program site | 0.640141 |
| chronic disease programs | 0.576462 |
| risk factor | 0.64597 |
| Chronic Disease Prevention | 0.634886 |
| York City Department | 0.595409 |
| risk factor scores | 0.585078 |
| 30-minute drive-time radius | 0.596053 |
| York State DPP | 0.63812 |
| Public Health Service | 0.570714 |
|
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| 13426 |
Centers for Disease Control and Prevention |
Html |
en |
Treatment | Lyme Disease | CDC |
Information on Lyme disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| penicillin | 0.253433 |
| chronic Lyme disease | 0.834994 |
| early stages | 0.401248 |
| NIH Lyme Disease | 0.698933 |
| intravenous treatment | 0.398322 |
| small percentage | 0.385802 |
| doxycycline | 0.263378 |
| Guidelines | 0.229787 |
| oral treatment | 0.386733 |
| detailed recommendations | 0.377488 |
| lyme disease | 0.959852 |
| cardiac forms | 0.388894 |
| America | 0.229604 |
| cefuroxime axetil | 0.420361 |
| PTLDS | 0.228086 |
|
| details | 0.228064 |
| Infectious Diseases Society | 0.52686 |
| Post-treatment Lyme Disease | 0.685517 |
| National Institutes | 0.367744 |
| illness | 0.233106 |
| appropriate antibiotics | 0.480817 |
| cases | 0.229406 |
| drugs | 0.232562 |
| web site | 0.363259 |
| patients | 0.291768 |
| Syndrome | 0.228158 |
| symptoms | 0.229351 |
| ceftriaxone | 0.230415 |
| condition | 0.228318 |
| mouth | 0.234167 |
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| 13534 |
Centers for Disease Control and Prevention |
Html |
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Lead Poisoning and Anemia Associated with Use of AyurvedicMedications Purchased on the Internet - Wisconsin, 2015 |
Jon Meiman, MD1,2; Robert Thiboldeaux, PhD2; Henry Anderson, MD2. |
| 1Epidemic Intelligence Service | 0.771089 |
| United States | 0.792189 |
| Urine toxic metals | 0.822945 |
| Vata Chintamani Rasa | 0.798585 |
| chelation therapy | 0.806149 |
| daily MG | 0.735695 |
| Shree Dhootapapeshwar Limited | 0.783422 |
| Wisconsin public health | 0.830198 |
| U.S. Environmental Protection | 0.782173 |
| possible environmental sources | 0.795783 |
| human health | 0.727112 |
| local health department | 0.850808 |
| Wisconsin Division | 0.722339 |
| endogenous physiologic role | 0.782244 |
| elevated blood lead | 0.87355 |
| Ayurvedic medication | 0.807831 |
| earlier reported risk | 0.776736 |
| highly toxic substance | 0.774503 |
| normal range | 0.804711 |
| Ayurvedic medications | 0.917543 |
| toxic metals | 0.859353 |
| local health departments | 0.840873 |
| inpatient medical evaluation | 0.792816 |
| public health | 0.962488 |
|
| peripheral blood smear | 0.795889 |
| lead-based herbal medicine | 0.7648 |
| female patient | 0.747079 |
| water lead level | 0.823907 |
| furnace atomic absorption | 0.773182 |
| Ayurvedic medicines | 0.748148 |
| Occupational Health | 0.717969 |
| optical emission spectroscopy | 0.774746 |
| outpatient lead | 0.735976 |
| BLL testing results | 0.876133 |
| Wisconsin State Laboratory | 0.79247 |
| local public health | 0.816469 |
| putative health benefits | 0.800589 |
| lead shot | 0.733934 |
| lead poisoning | 0.733678 |
| health problems | 0.719508 |
| oral meso-2,3-dimercaptosuccinic acid | 0.778715 |
| Jon Meiman | 0.798887 |
| single BLL | 0.780067 |
| Sri Ayurveda Trust | 0.777929 |
| case report confirms | 0.77172 |
| urine arsenic levels | 0.847252 |
| inductively coupled plasma | 0.779558 |
|
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| 14008 |
Centers for Disease Control and Prevention |
Html |
null |
Agregue a la lista escolar la vacuna contra el VPH - Especiales CDC |
La vacuna contra el VPH puede prevenir ciertos cánceres y otras enfermedades causados por el virus del papiloma humano (VPH). Vacune a sus hijos a los 11 o 12 años, o tan pronto como pueda si ya tienen 13 años o más |
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| 15464 |
Centers for Disease Control and Prevention |
Html |
en |
Diphtheria Fact Sheet for Parents |
CDC fact sheet for parents: Diphtheria and the Vaccine (Shot) to Prevent It |
| Yes. The DTaP | 0.417778 |
| American Academy | 0.399727 |
| Español | 0.328979 |
| Page | 0.366428 |
| best way | 0.41794 |
| degrees | 0.342363 |
| DTaP shot | 0.810111 |
| tetanus | 0.405044 |
| diphtheria dies | 0.645269 |
| pages | 0.323945 |
| Disease Control | 0.403662 |
| children | 0.522963 |
| chills | 0.324612 |
| best protection | 0.405099 |
| Tdap | 0.345914 |
| Family Physicians | 0.407918 |
| heart failure | 0.400154 |
| sick child | 0.418343 |
| Color | 0.323957 |
| potentially serious disease | 0.416475 |
| Doctors | 0.344961 |
| effects | 0.4405 |
| dose | 0.354617 |
| visit www.cdc.gov/diphtheria | 0.402598 |
|
| Td booster shot | 0.631147 |
| Adults | 0.324056 |
| following ages | 0.411975 |
| child | 0.491176 |
| in-depth information | 0.405211 |
| throat | 0.442957 |
| lifetime protection | 0.425581 |
| infected person coughs | 0.492676 |
| child care | 0.415469 |
| mild fever | 0.407662 |
| sore throat | 0.435257 |
| abnormal heart rhythms | 0.490318 |
| diphtheria | 0.98209 |
| nose | 0.410019 |
| booster vaccine | 0.443393 |
| coating | 0.42276 |
| Td vaccine | 0.438729 |
| Difteria | 0.323876 |
| DTaP vaccine | 0.416611 |
| visit www.cdc.gov/vaccines/parents | 0.403032 |
| people | 0.346537 |
| breathe | 0.339596 |
| whooping cough | 0.572595 |
| diphtheria toxin | 0.701221 |
|
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