| 747 |
Centers for Disease Control and Prevention |
Html |
en |
Outbreak of Escherichia coli O104:H4 Infections Associatedwith Sprout Consumption - Europe and North America, May-July2011 |
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. |
| outbreak vehicle | 0.345529 |
| robust public health | 0.411199 |
| Foodborne Outbreak Listserv | 0.418584 |
| Shiga toxin | 0.359822 |
| raw sprouts | 0.325763 |
| Escherichia coli | 0.365278 |
| public health authorities | 0.516905 |
| German HUS patients | 0.362963 |
| U.S. Department | 0.340705 |
| Health Alert Network | 0.326736 |
| STEC diagnostic testing | 0.450257 |
| Shiga toxin–positive stool | 0.331072 |
| outbreak management | 0.347476 |
| outbreak | 0.590926 |
| foodborne disease surveillance | 0.328541 |
| novel STEC pathogens | 0.522365 |
| non-O157 illness-causing STEC | 0.453281 |
| traceback investigations | 0.405795 |
| German public health | 0.350442 |
| laboratory-confirmed STEC infections | 0.447817 |
| World Health Organization | 0.331356 |
| Shiga toxin–positive specimens | 0.32799 |
| STEC outbreak worldwide | 0.562952 |
| state public health | 0.342271 |
| public health laboratories | 0.403645 |
|
| International Health Regulations | 0.331584 |
| new cases | 0.332476 |
| Germany | 0.326181 |
| public health infrastructure | 0.482923 |
| outbreak pathogens | 0.362877 |
| Shiga toxin–positive diarrheal | 0.344198 |
| United States | 0.785287 |
| hemolytic uremic syndrome | 0.387413 |
| STEC O104 | 0.930263 |
| non-O157 STEC | 0.538006 |
| U.S. cases | 0.33411 |
| public health | 0.75801 |
| outbreak strain | 0.462891 |
| Enteroaggregative STEC O104 | 0.504362 |
| cases | 0.432546 |
| STEC testing recommendations | 0.508094 |
| HUS | 0.378674 |
| STEC diarrheal illness | 0.504688 |
| HUS cases | 0.350066 |
| Robert Koch Institute | 0.391968 |
| raw fenugreek sprouts | 0.433152 |
| large outbreak | 0.345798 |
| STEC O157 | 0.464461 |
| food consumption commonalities | 0.331115 |
|
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| 926 |
Centers for Disease Control and Prevention |
Html |
en |
H7N9 Case Detected in Malaysia |
H7N9 Case Detected in Malaysia - CDC |
| risk assessment | 0.786511 |
| CVV | 0.445898 |
| avian influenza | 0.563111 |
| CDC | 0.487944 |
| poultry exposure | 0.655622 |
| traveler | 0.608129 |
| evidence | 0.452534 |
| United States | 0.539506 |
| human cases | 0.631417 |
| birds | 0.426311 |
| H7N9 case | 0.547669 |
| H7N9 vaccine | 0.541132 |
| global outbreak | 0.52803 |
| human-to-human spread | 0.572803 |
| neighboring countries | 0.524943 |
| international partners | 0.518391 |
| international surveillance | 0.647656 |
| scenario | 0.425549 |
| China | 0.760647 |
| continue | 0.42441 |
| infected poultry | 0.558357 |
| U.S. Government | 0.530856 |
| new H7N9 virus | 0.886318 |
| H7N9 situation | 0.537505 |
|
| clinical trials | 0.5278 |
| public health risk | 0.629054 |
| candidate vaccine virus | 0.668325 |
| event | 0.424029 |
| routine preparedness actions | 0.632446 |
| area | 0.426085 |
| detection | 0.452809 |
| suitability | 0.426514 |
| contaminated environments | 0.542127 |
| people | 0.452743 |
| limited amounts | 0.529473 |
| symptoms | 0.42906 |
| human infections | 0.651184 |
| new virus | 0.558608 |
| influenza viruses | 0.666796 |
| transmissibility | 0.425117 |
| important factor | 0.532534 |
| pandemic potential | 0.785168 |
| ongoing person-to-person spread | 0.909229 |
| H7N9 | 0.887027 |
| Malaysian Ministry | 0.555623 |
| time | 0.481127 |
| threat | 0.425133 |
|
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| 4736 |
Centers for Disease Control and Prevention |
Html |
en |
Eastern Equine Encephalitis - Arboviral Diagnostic Testing |
Eastern Equine Encephalitis is a rare disease that is caused by a virus spread by infected mosquitoes.
|
| arbovirus activity increases | 0.755158 |
| initial results | 0.475105 |
| fatal cases | 0.479542 |
| CDC | 0.320276 |
| histopathology | 0.268133 |
| Microsphere-Based Immunoassay | 0.466658 |
| confirmatory testing | 0.443563 |
| virus-specific IgM | 0.598843 |
| APPROPRIATE STATE HEALTH | 0.644131 |
| final results | 0.447749 |
| state health department | 0.94534 |
| patient | 0.280121 |
| specimen receipt | 0.511579 |
| CSF | 0.299929 |
| Initial serological testing | 0.710934 |
| Laboratory diagnosis | 0.477449 |
| antibodies | 0.257283 |
| nucleic acid amplification | 0.723214 |
| immunohistochemistry | 0.268758 |
| area | 0.24686 |
| arboviral infections | 0.538003 |
|
| test results | 0.651322 |
| MIA | 0.251833 |
| epidemiologic history | 0.522521 |
| dates | 0.247121 |
| Instructions | 0.241315 |
| virus culture | 0.462514 |
| autopsy tissues | 0.502588 |
| DVBID Arbovirus Diagnostic | 0.798779 |
| hard copy | 0.441693 |
| Preliminary diagnosis | 0.501719 |
| places | 0.247164 |
| IgM capture ELISA | 0.78432 |
| diagnostic specimens | 0.457961 |
| activities | 0.246795 |
| location | 0.246642 |
| IgG ELISA | 0.530671 |
| state laboratories | 0.471293 |
| serum | 0.27277 |
| travel | 0.247077 |
| non-endemic country | 0.490728 |
|
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| 4823 |
Centers for Disease Control and Prevention |
Html |
en |
Upstream ecological risks for overweight and obesity among African American youth in a rural town in the Deep South, 2007 |
null |
| high school | 0.671122 |
| school board member | 0.570448 |
| ecological theory | 0.560775 |
| multiple ecological levels | 0.557328 |
| local high school | 0.517367 |
| in-depth interviews | 0.530755 |
| issues | 0.524764 |
| recreational center | 0.522832 |
| complex community contexts | 0.556882 |
| youth resource center | 0.52676 |
| African American student | 0.545668 |
| rural community settings | 0.53977 |
| community coalition members | 0.536659 |
| right social connections | 0.543378 |
| African American families | 0.537743 |
| white community members | 0.605576 |
| community | 0.831912 |
| upstream ecological factors | 0.568684 |
| embodiment theory | 0.584683 |
| African American teachers | 0.548252 |
| specific rural communities | 0.524595 |
| specific community contexts | 0.673013 |
| qualitative community health | 0.557917 |
| African American students | 0.546638 |
| rural town | 0.548008 |
|
| African American children | 0.534995 |
| African American pastor | 0.542716 |
| African American members | 0.555722 |
| Georgia Southern University | 0.612882 |
| white American populations | 0.534485 |
| local health department | 0.517281 |
| African American community | 0.731071 |
| larger community health | 0.550864 |
| American community members | 0.648857 |
| participants | 0.674353 |
| African American women | 0.534257 |
| rural youth | 0.522121 |
| African American representative | 0.546315 |
| rural communities | 0.540218 |
| race | 0.5435 |
| community organizations | 0.535061 |
| Deep South | 0.64514 |
| rural community | 0.572343 |
| African American youth | 0.984297 |
| physical activity | 0.541702 |
| community health assessment | 0.623387 |
| illegal drug activity | 0.551447 |
| upstream levels | 0.530593 |
| healthful food options | 0.556908 |
|
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| 5070 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Monday, November 09, 2009 |
null |
| Centers | 0.316662 |
| endorsement | 0.396275 |
| Pan_Pox | 0.317357 |
| current awareness | 0.398845 |
| Articles | 0.317148 |
| methods | 0.316549 |
| findings | 0.339957 |
| poxviruses detection | 0.401167 |
| Prevention | 0.316624 |
| G+C content | 0.398288 |
| inclusion | 0.319444 |
| Disease Control | 0.396855 |
| responsibility | 0.317408 |
| CDC Knowledge | 0.595157 |
| Action Science Clips | 0.915001 |
| factual accuracy | 0.401171 |
| omission | 0.325679 |
| views | 0.332321 |
| informational purposes | 0.391174 |
| Chief Science Officer | 0.501227 |
|
| conclusions | 0.319787 |
| public health literature | 0.477276 |
| permission | 0.321753 |
| B. Thacker CDC | 0.814108 |
| original authors | 0.388267 |
| article | 0.329399 |
| DHHS | 0.464409 |
| opinion | 0.331281 |
| non-CDC Websites | 0.392995 |
| universal PCR | 0.403454 |
| original sources | 0.396644 |
| DISCLAIMER | 0.325488 |
| selection | 0.316054 |
| service | 0.319393 |
| References | 0.316044 |
| public domain | 0.401592 |
| news sources | 0.390144 |
| Stephen B. Thacker | 0.698037 |
| items | 0.349743 |
|
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| 5114 |
Centers for Disease Control and Prevention |
Html |
en |
Science Clips - Supplemental Issue 1 Volume 2 |
null |
| Centers | 0.32928 |
| endorsement | 0.44336 |
| Issue | 0.335487 |
| current awareness | 0.472531 |
| Articles | 0.330243 |
| methods | 0.329055 |
| findings | 0.365916 |
| content | 0.328012 |
| Prevention | 0.329205 |
| inclusion | 0.335782 |
| Disease Control | 0.468644 |
| responsibility | 0.331977 |
| CDC Knowledge | 0.76526 |
| Action Science Clips | 0.998818 |
| factual accuracy | 0.478939 |
| omission | 0.346811 |
| views | 0.350726 |
| informational purposes | 0.459479 |
|
| conclusions | 0.336082 |
| public health literature | 0.608213 |
| permission | 0.33963 |
| B. Thacker CDC | 0.78623 |
| original authors | 0.45175 |
| article | 0.351496 |
| DHHS | 0.523647 |
| opinion | 0.357178 |
| non-CDC Websites | 0.460058 |
| original sources | 0.46407 |
| Vol. | 0.335539 |
| DISCLAIMER | 0.346893 |
| selection | 0.328086 |
| References | 0.327881 |
| public domain | 0.47454 |
| news sources | 0.453735 |
| Library | 0.329969 |
| items | 0.370764 |
|
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| 10354 |
Centers for Disease Control and Prevention |
Html |
en |
2013 Publications | Waterborne Disease Prevention Branch | DFWED | NCEZID | CDC |
Division of Foodborne, Waterborne, and Environmental Diseases homepage (DFWED). DFWED is part of the National Center for Emerging and Zoonotic Infectious Diseases. |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
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| 12085 |
Centers for Disease Control and Prevention |
Html |
en |
Healthy Places - Recent Accomplishments - Healthy Community Design Data |
Designing and Building Healthy Places |
| Travel Survey data | 0.65619 |
| potential health effects | 0.714037 |
| health impact assessment | 0.718178 |
| health impact | 0.807927 |
| unhealthy air quality | 0.660423 |
| health disparities | 0.639548 |
| bicycling routes | 0.61182 |
| pedestrian crossing islands | 0.733515 |
| positive health outcomes | 0.714705 |
| transportation modeling techniques | 0.663586 |
| busy street crossings | 0.657354 |
| transportation systems | 0.619605 |
| adverse birth outcomes | 0.672122 |
| scale design interventions | 0.692549 |
| Community Design Initiative | 0.653302 |
| Enhanced pedestrian crossing | 0.728271 |
| community design | 0.656001 |
| traditional public health | 0.710544 |
| Health Tool | 0.633194 |
| HIA data | 0.620338 |
| annual medical cost | 0.673165 |
| health criteria | 0.626535 |
| American Planning Association | 0.642461 |
| times more pedestrian | 0.65527 |
|
| health care utilization | 0.711235 |
| specialized surface treatments | 0.657192 |
| transportation infrastructure | 0.607046 |
| United States | 0.65964 |
| adverse health outcomes | 0.723539 |
| adverse health effects | 0.729804 |
| Physical Activity Guidelines | 0.713585 |
| Metropolitan Planning Organization | 0.641446 |
| physical activity.2 | 0.615112 |
| public health | 0.739708 |
| potential public health | 0.715002 |
| regional comprehensive plans | 0.640442 |
| bicyclist fatalities | 0.607719 |
| pedestrian bridges | 0.643395 |
| high school students | 0.674671 |
| physical activity | 0.964527 |
| pedestrian crossing signals | 0.868926 |
| commonly reported form | 0.664088 |
| National Park Service | 0.640571 |
| transportation planning | 0.620292 |
| health-promotive built environment | 0.651989 |
| Health impact assessments | 0.703604 |
| Phys Act Health. | 0.646091 |
| Health Workbook | 0.630877 |
|
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| 14154 |
Centers for Disease Control and Prevention |
Html |
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Food Security Status and Barriers to Fruit and Vegetable Consumption in Two Economically Deprived Communities of Oakland, California, 2013-2014 |
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. |
| preparation time | 0.386846 |
| Food environment | 0.266099 |
| short-form food security | 0.293921 |
| vegetable consumption | 0.964856 |
| food security status | 0.819188 |
| healthy food intake | 0.304678 |
| daily servings | 0.443193 |
| adequate food | 0.265184 |
| food-insecure populations | 0.349639 |
| healthy food consumption | 0.804421 |
| economically deprived neighborhoods | 0.288628 |
| lower consumption | 0.30183 |
| food insecurity | 0.343423 |
| food choice | 0.263559 |
| food-insecure respondents | 0.565066 |
| food cost | 0.289784 |
| taste preferences | 0.290055 |
| food secure | 0.285195 |
| total consumption | 0.293753 |
| healthy food taste | 0.352374 |
| consumption rates | 0.349536 |
| taste × food | 0.277289 |
| Average monthly consumption | 0.322755 |
| healthy foods | 0.636358 |
|
| healthy food access | 0.305503 |
| study | 0.304999 |
| fruit | 0.402795 |
| food quality | 0.27463 |
| independent variables | 0.269603 |
| minimally sufficient set | 0.290922 |
| 26-item dietary screener | 0.350496 |
| vegetables | 0.337694 |
| in-home food preparation | 0.276138 |
| daily consumption | 0.2992 |
| food preparation time | 0.367139 |
| food-secure respondents | 0.473593 |
| food decisions | 0.29874 |
| fruits | 0.289037 |
| food-insecure households | 0.274192 |
| public health | 0.263941 |
| cost | 0.365557 |
| average daily servings | 0.303876 |
| annual household income | 0.289409 |
| vegetable consumption control | 0.344681 |
| healthy food preparation | 0.30611 |
| food-secure populations | 0.290818 |
| barriers | 0.290411 |
| college degree | 0.287736 |
|
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| 14442 |
Centers for Disease Control and Prevention |
Html |
en |
Skin Cancer Prevention |
Easy ways to protect yourself from UV rays and reduce your risk of skin cancer. |
| UV exposure outdoors | 0.729837 |
| easy options | 0.360701 |
| bed | 0.230008 |
| UV rays | 0.920971 |
| Daylight Saving Time | 0.532978 |
| CDC | 0.236936 |
| wide brim | 0.395035 |
| protection | 0.259627 |
| late spring | 0.368918 |
| continental United States | 0.520314 |
| North America | 0.368261 |
| p.m. standard time | 0.512575 |
| surfaces | 0.235735 |
| hat | 0.234347 |
| Stay | 0.234547 |
| midday | 0.25322 |
| early summer | 0.363109 |
|
| shade | 0.255939 |
| neck | 0.234359 |
| water | 0.230572 |
| Sun Safety | 0.359619 |
| users | 0.229802 |
| booth | 0.239558 |
| UV radiation | 0.60391 |
| sunlamp | 0.229914 |
| cloudy | 0.25777 |
| sand | 0.233809 |
| sunlight | 0.244252 |
| ears | 0.242199 |
| cement | 0.238339 |
| face | 0.22886 |
| snow | 0.231316 |
| beach | 0.233425 |
|
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