| 5026 |
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Radiation Emergencies - Prussian Blue |
Information on prussian blue as possible treatment for internal radiation contamination. Provided by the Centers for Disease Control and Prevention (CDC). |
| stool | 0.239174 |
| pills | 0.238321 |
| bodies | 0.235663 |
| adults | 0.233777 |
| bowel movements | 0.388327 |
| common side effects | 0.356866 |
| 2-12 | 0.233669 |
| body | 0.304692 |
| type | 0.232129 |
| pill | 0.243819 |
| blue feces | 0.376024 |
| drug | 0.233831 |
| pregnant women | 0.381044 |
| children | 0.233702 |
| radioactive contamination | 0.420969 |
| medications | 0.232461 |
| prussian blue | 0.928994 |
| teeth | 0.233887 |
| Prussian blue artist | 0.77294 |
| FDA Website | 0.361961 |
| thallium stay | 0.42547 |
|
| mouths | 0.242004 |
| constipation | 0.291605 |
| radioactive cesium | 0.891513 |
| infants | 0.23694 |
| blockages | 0.244577 |
| biological half-life | 0.390612 |
| medicine | 0.233524 |
| people | 0.451404 |
| food | 0.231731 |
| certain stomach problems | 0.527757 |
| prescription | 0.232739 |
| radiation | 0.232352 |
| contents | 0.231752 |
| radioactive materials | 0.439735 |
| doctors | 0.27391 |
| 500-milligram capsules | 0.406728 |
| Prussian blue traps | 0.92029 |
| ages | 0.235209 |
| detailed information | 0.362726 |
| time | 0.325769 |
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Race/Ethnicity, Adults 18 to 64 Years at High-Risk - Estimates from the Behavioral Risk Factor Surveillance System (BRFSS), National Immunization Survey (NIS), and the National 2009 H1N1 Flu Survey (NHFS) |
Recent Influenza Vaccination Trends across Influenza Seasons, Race/Ethnicity, Adults 18 to 64 Years at High-Risk - CDC |
| Native Hawaiian | 0.464381 |
| Pacific Islander | 0.502838 |
| data | 0.4013 |
| report Final estimates | 0.514647 |
| season estimates | 0.296643 |
| United States | 0.294922 |
| influenza vaccination coverage | 0.634671 |
| methods | 0.292747 |
| U.S. civilian population | 0.439034 |
| Risk Factor Surveillance | 0.461868 |
| recent influenza seasons | 0.404222 |
| seasonal influenza vaccination | 0.944707 |
| Monovalent Vaccination Coverage | 0.504542 |
| vaccination coverage | 0.690707 |
| Alaska Native | 0.464849 |
| Excludes U.S. territories | 0.467599 |
| heart disease | 0.428748 |
| Additional estimates | 0.301372 |
| lung conditions | 0.290325 |
| estimates | 0.772504 |
|
| high risk conditions | 0.65774 |
| National Immunization Survey | 0.275288 |
| vaccination periods | 0.314879 |
| data sources | 0.218495 |
| influenza season | 0.46984 |
| high-risk conditions | 0.205707 |
| kidney conditions | 0.290541 |
| H1N1 Flu Survey | 0.443999 |
| Table 6-B | 0.204936 |
| Table 6-A | 0.204699 |
| confidence interval half-width | 0.462975 |
| BRFSS adult estimates | 0.386344 |
| Coverage estimates | 0.319447 |
| chronic illness | 0.464534 |
| Data Source | 0.384611 |
| vaccination recommendations | 0.31928 |
| vaccination data | 0.350914 |
| analytic methods | 0.206856 |
| national weighted estimates | 0.413234 |
| Behavioral Risk Factor | 0.462177 |
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More People Walk to Better Health - CDC Vital Signs |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Mortality Weekly Report | 0.629797 |
| weekly physical activity | 0.663076 |
| type | 0.544764 |
| existing sidewalks | 0.573558 |
| safe places | 0.582423 |
| Safe Routes | 0.573484 |
| aerobic physical activity* | 0.686066 |
| lower risk | 0.576878 |
| weight loss | 0.580802 |
| local planning efforts | 0.631013 |
| age groups | 0.577949 |
| aerobic physical activity | 0.808566 |
| physically active lifestyle | 0.657743 |
| local school tracks | 0.632145 |
| paths | 0.555685 |
| good condition | 0.573328 |
| cancers | 0.531413 |
| long-range community plans | 0.635988 |
| moderate level | 0.578347 |
| Obesity state programs | 0.635383 |
| speed limit | 0.569436 |
| Vital Signs | 0.569496 |
| United States | 0.573191 |
| fallen tree limbs | 0.633758 |
| adults | 0.700146 |
|
| National Prevention Strategy | 0.638853 |
| Northeast regions | 0.573859 |
| early death | 0.579429 |
| highest percentage | 0.576894 |
| heart disease | 0.659282 |
| walking | 0.610302 |
| Community Transformation Grants | 0.631443 |
| higher risk | 0.574804 |
| Regular physical activity | 0.663239 |
| route maps | 0.625797 |
| Walkable communities | 0.580994 |
| healthy weight | 0.574538 |
| road users | 0.574078 |
| people | 0.692285 |
| physical activity | 0.927746 |
| transportation | 0.530725 |
| Inactive adults | 0.594068 |
| work place | 0.572036 |
| local streets | 0.572034 |
| largest percent increase | 0.640617 |
| fast-paced walk | 0.639773 |
| high blood pressure | 0.642006 |
| older adults | 0.589506 |
| diabetes | 0.544625 |
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Landslides and Mudslides'CDC |
Information on landslides and mudslides. Provided by the Centers for Disease Control and Prevention (CDC). |
| https://www.cdc.gov/disasters/landslides.html | 0.934725 |
|
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MMWR News Synopsis: March 20, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| higher burden | 0.443135 |
| trivalent OPV | 0.502971 |
| immunodeficiency-associated vaccine-derived poliovirus | 0.526638 |
| drug-resistant cases | 0.458631 |
| polio eradication | 0.573873 |
| United States | 0.423958 |
| oral poliovirus vaccine | 0.565742 |
| foreign-born tuberculosis | 0.495246 |
| multidrug-resistant TB | 0.647064 |
| TB disease | 0.783768 |
| TB elimination | 0.678371 |
| foreign-born individuals | 0.612505 |
| certain polio outbreaks | 0.584695 |
| inactivated polio vaccine | 0.574197 |
| subsequent worldwide shift | 0.50245 |
| wild poliovirus | 0.433541 |
| high genetic divergence | 0.504979 |
| low type-specific immunity | 0.519998 |
| Immunodeficiency-associated vaccine-derived polioviruses | 0.543752 |
| U.S. | 0.450566 |
| wild polioviruses | 0.44735 |
| CDC National TB | 0.834159 |
| Global Polio Eradication | 0.569293 |
| CDC recommendations | 0.455004 |
|
| new tuberculosis screening | 0.544421 |
| National Center | 0.439019 |
| TB Prevention | 0.684715 |
| Racial disparities | 0.438121 |
| inactivated poliovirus vaccine | 0.555428 |
| new cVDPV outbreaks | 0.534097 |
| TB cases | 0.680724 |
| US-bound immigrants | 0.432296 |
| higher TB rates—7 | 0.764379 |
| racial/ethnic minorities | 0.437237 |
| Viral Hepatitis | 0.43319 |
| drug resistant TB | 0.750966 |
| health care costs | 0.514091 |
| TB | 0.899228 |
| Preliminary data | 0.433979 |
| percent decline | 0.457603 |
| oral polio vaccine | 0.765562 |
| overseas tuberculosis screening | 0.53934 |
| previous screening program | 0.52005 |
| newly identified persons | 0.517549 |
| extensively-drug-resistant TB | 0.656455 |
| CDC Media Relations | 0.984185 |
| better diagnosis | 0.424113 |
|
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NCIRD | Influenza Division | Branch Chief Bios | Nancy Cox | CDC |
null |
| avian influenza | 0.348752 |
| book chapters | 0.300073 |
| Charles C. Shepard | 0.266832 |
| deputy director | 0.316441 |
| Global Influenza Surveillance | 0.39968 |
| global influenza virus | 0.398752 |
| pandemic influenza viruses | 0.472697 |
| seasonal influenza viruses | 0.451488 |
| Influenza Division. | 0.354676 |
| Dr. Wentworth | 0.282014 |
| novel influenza viruses | 0.535789 |
| H1N1 pandemic influenza | 0.473399 |
| CDC Influenza Division | 0.481037 |
| animal influenza viruses | 0.421351 |
| influenza vaccine | 0.481269 |
| Epidemic Intelligence Service | 0.469056 |
| Diarrheal Diseases Branch | 0.30065 |
| Dr. Tumpey | 0.305681 |
| CDC’s Division | 0.264666 |
| Influenza Division | 0.9475 |
| influenza surveillance | 0.410072 |
| University | 0.265115 |
| Influenza Vaccine Introduction | 0.421633 |
| influenza disease burden | 0.419884 |
| Influenza Branch | 0.497477 |
|
| Dr. | 0.458601 |
| novel influenza | 0.539062 |
| Respiratory Diseases Branch | 0.331258 |
| pandemic influenza | 0.587122 |
| global influenza pandemic | 0.435077 |
| Dr. Bresee | 0.306489 |
| CDC’s Influenza | 0.537165 |
| peer-reviewed research articles | 0.278758 |
| novel influenza vaccine | 0.412515 |
| public health | 0.60154 |
| influenza virology | 0.389736 |
| U.S. Public Health | 0.295017 |
| influenza vaccines | 0.363766 |
| Dr. Fry | 0.273441 |
| Dr. Katz | 0.380031 |
| Influenza Program Director | 0.410673 |
| influenza virus efforts | 0.38109 |
| influenza infections | 0.365069 |
| H1N1 influenza pandemic | 0.472638 |
| influenza viruses | 0.736554 |
| Public Health Service | 0.368191 |
| Pathogenesis Branch | 0.273813 |
| Dr. Jernigan | 0.45023 |
| CDC’s Epidemic | 0.269066 |
|
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Prevention Status Reports (PSR) - Overview - STLT Gateway |
null |
| expert body | 0.366252 |
| date | 0.250792 |
| Centers | 0.248178 |
| important public health | 0.807156 |
| public health issues | 0.53989 |
| Guide | 0.253275 |
| following criteria | 0.380712 |
| Vital Signs | 0.352769 |
| United States | 0.355524 |
| public health policies | 0.626352 |
| United Health Foundation | 0.544506 |
| Human Services | 0.480131 |
| 10-year national objectives | 0.495177 |
| National Summary | 0.483988 |
| evidence-based findings | 0.364713 |
| public health problems | 0.616877 |
| state report | 0.376946 |
| state agencies | 0.384781 |
| Robert Wood Johnson | 0.490423 |
| County Health Rankings | 0.549872 |
| Disease Control | 0.490531 |
| Institute | 0.252208 |
| Wisconsin Population Health | 0.54595 |
| Atlanta | 0.247636 |
|
| state health departments | 0.578293 |
| expert recommendations | 0.356028 |
| GA | 0.246632 |
| Healthy People | 0.510957 |
| Preventive Services Task | 0.525563 |
| American Public Health | 0.552421 |
| key health indicators | 0.546349 |
| 50 states | 0.383042 |
| scientific evidence | 0.364766 |
| systematic review | 0.367296 |
| national strategy | 0.381055 |
| state-by state basis | 0.499987 |
| practices | 0.297568 |
| Prevention Status Reports | 0.929505 |
| national action plan | 0.521141 |
| Columbia—the status | 0.403251 |
| Recent data | 0.348804 |
| organization | 0.247729 |
| three-level rating scale—green | 0.518976 |
| Community Preventive Services | 0.912748 |
| annual comprehensive assessment | 0.485861 |
| Roadmaps | 0.239311 |
| District | 0.254202 |
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Laboratory-Acquired Vaccinia Virus Infection in a RecentlyImmunized Person - Massachusetts, 2013 |
Christopher H. Hsu, MD, PhD1,2, Julien Farland, MS3, Thomas Winters, MD4, Julia Gunn, MPH3, Donna Caron, MSN3, Jennifer Evans, DVM3, Lynda Osadebe, DVM, PhD1,2, Leon Bethune, MPH3, Andrea M. McCollum, PhD2, Nishi Patel, MS2, Kimberly Wilkins2, Whitni Davidson, MPH2, Brett Petersen, MD2, M. |
| needle stick | 0.729663 |
| specific VACV training | 0.749407 |
| non-highly attenuated VACV | 0.808618 |
| laboratory personnel | 0.797866 |
| CDC poxvirus laboratory | 0.8016 |
| Boston Public Health | 0.756356 |
| occupational health | 0.883448 |
| Laboratory-acquired VACV infections | 0.736558 |
| type VACV Western | 0.750654 |
| occupational health nurse | 0.72597 |
| animal care | 0.739728 |
| major cutaneous reaction | 0.799294 |
| public health risk | 0.730483 |
| smallpox vaccine | 0.734479 |
| safe laboratory practices | 0.736351 |
| thumb lesion | 0.769068 |
| biologic agents | 0.730378 |
| skin lesion | 0.785519 |
| local emergency department | 0.833765 |
| proper biosafety signage | 0.729803 |
| Western Reserve | 0.781792 |
| laboratory | 0.892875 |
| occupational health clinic | 0.737159 |
| state public health | 0.728813 |
| 3Boston Public Health | 0.726443 |
|
| proper infection control | 0.760112 |
| vaccination | 0.855119 |
| laboratory worker | 0.847899 |
| proper safety measures | 0.730377 |
| left thumb | 0.921257 |
| VACV infection | 0.971718 |
| infection control | 0.79636 |
| 0.5-cm white lesion | 0.760103 |
| necrotic VACV infection | 0.829415 |
| academic institution | 0.781737 |
| Public Health Commission | 0.835835 |
| patient | 0.806802 |
| orthopoxvirus infection | 0.77784 |
| standard laboratory procedure | 0.741029 |
| public health | 0.90704 |
| left biceps | 0.732471 |
| State Laboratory Institute | 0.751708 |
| BPHC research laboratory | 0.824442 |
| smallpox vaccination | 0.774276 |
| local public health | 0.730584 |
| infection control measures | 0.772876 |
| necrotic lesion | 0.84112 |
| unintentional orthopoxvirus infection | 0.768016 |
| laboratory-acquired vacv infection | 0.871934 |
|
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Home Canning and Botulism | CDC Features |
Home canning is an excellent way to preserve garden produce and share it with family and friends, but it can be risky or even deadly if not done correctly and safely. |
| home-canning related botulism | 0.599038 |
| small taste | 0.506018 |
| safe home canning | 0.671194 |
| medical emergency | 0.480545 |
| emergency room | 0.477617 |
| best way | 0.477526 |
| family member | 0.475549 |
| right equipment | 0.474498 |
| potentially deadly illness | 0.547579 |
| pressure canner manufacturer | 0.586515 |
| foodborne botulism | 0.70336 |
| county extension service | 0.531706 |
| up-to-date process times | 0.528917 |
| botulinum bacteria | 0.492258 |
| safe canning guidelines | 0.636024 |
| pressure canner | 0.790104 |
| proper home canning | 0.659841 |
| Low-acids foods | 0.485275 |
| steps | 0.442669 |
| examples | 0.428967 |
| Contact your state | 0.472192 |
| excellent way | 0.486144 |
| proper way | 0.483981 |
| citric acid | 0.482637 |
| cup bleach | 0.470549 |
|
| USDA recommendations | 0.531005 |
| proper canning techniques | 0.658848 |
| pH level | 0.479623 |
| lemon juice | 0.476552 |
| taste botulinum toxin—but | 0.586853 |
| water canners | 0.476309 |
| garden goodies | 0.485108 |
| Clostridium botulinum | 0.497229 |
| Cooperative Extension offices | 0.531359 |
| harmful germs | 0.471776 |
| pressure canning | 0.648533 |
| delicious produce | 0.488301 |
| home canning | 0.962778 |
| fruits | 0.426971 |
| home-canned foods | 0.487286 |
| low-acid foods | 0.670708 |
| USDA guide | 0.483144 |
| cases | 0.42732 |
| sized pressure canner | 0.589254 |
| store-bought food | 0.487318 |
| USDA Complete Guide | 0.547562 |
| certain conditions | 0.47918 |
| one-quart jars | 0.472575 |
| common sources | 0.475389 |
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Change of School in Early Adolescence and Adverse Obesity-Related Dietary Behavior: A Longitudinal Cohort Study, Victoria, Australia, 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. |
| Secondary school food | 0.620622 |
| secondary school students | 0.618271 |
| school | 0.935854 |
| vegetable classroom breaks | 0.598808 |
| secondary school | 0.793718 |
| Deakin University | 0.585918 |
| School staff surveys | 0.603612 |
| school staff | 0.624411 |
| non-core food items | 0.691747 |
| primary schools | 0.624336 |
| obesity-related dietary behavior | 0.630941 |
| school food service | 0.601341 |
| early adolescence | 0.590614 |
| School canteen manager | 0.603386 |
| healthy eating | 0.787151 |
| school environment surveys | 0.591069 |
| dietary behavior | 0.707557 |
| School teacher surveys | 0.5891 |
| discrete primary school | 0.603006 |
| schools | 0.784177 |
| food services | 0.584218 |
| school encourage students | 0.611702 |
| school food environments | 0.674536 |
| P–12 school | 0.589281 |
|
| school environment | 0.773749 |
| School staff members | 0.592233 |
| healthy canteen policies | 0.584544 |
| students | 0.761851 |
| school type | 0.654412 |
| primary school | 0.698872 |
| mixed model regression | 0.617883 |
| secondary school canteens | 0.59963 |
| healthy eating food | 0.590731 |
| physical school environment | 0.591061 |
| discrete secondary school | 0.607313 |
| weight status | 0.680258 |
| school state authority | 0.588925 |
| school food environment | 0.814217 |
| sugar-sweetened beverages | 0.708724 |
| intake | 0.611976 |
| school social environment | 0.591073 |
| school environments | 0.590102 |
| secondary schools | 0.720145 |
| School perception responses | 0.584642 |
| vegetable intake | 0.600157 |
| School principal surveys | 0.586947 |
| school staff survey | 0.602811 |
| school types | 0.591566 |
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