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Pool Chemical-Associated Health Events in Public andResidential Settings - United States, 2003-2012, and Minnesota,2013 |
Michele C. Hlavsa, MPH1, Trisha J. Robinson, MPH2, Sarah A. |
| seriously injured body | 0.46161 |
| injuries | 0.533297 |
| U.S. Consumer Product | 0.470088 |
| birthday party | 0.462626 |
| 71-character narrative fields | 0.461607 |
| aquatics staff health | 0.473013 |
| ill persons | 0.489156 |
| free chlorine* levels | 0.461191 |
| health events | 0.669832 |
| National Electronic Injury | 0.471288 |
| state pH maximum | 0.464242 |
| personal protective equipment | 0.513553 |
| pool owners | 0.465309 |
| emergency department | 0.466601 |
| hot tubs/spas | 0.468107 |
| remediation steps | 0.460426 |
| national estimates | 0.489439 |
| local agencies | 0.464635 |
| recreational water venues | 0.905183 |
| chemical disinfectant levels | 0.462573 |
| pool chemical–associated health | 0.569284 |
| United States | 0.510437 |
| NEISS data limits | 0.4626 |
| ED visits | 0.463744 |
|
| infectious pathogens | 0.461972 |
| pool chemical code | 0.501422 |
| U.S. Census Bureau | 0.461364 |
| NEISS-participating EDs | 0.460717 |
| adverse health events | 0.528339 |
| pool chemical safety | 0.488455 |
| pool chemicals | 0.79151 |
| poor pool operation | 0.490063 |
| recreational water venue | 0.469807 |
| public health | 0.480162 |
| hotel swimming pool | 0.496017 |
| pool operators | 0.46145 |
| Ñ?ЛП
Pool chemicals | 0.522689 |
| complex sampling design | 0.461021 |
| pool chemistry | 0.495106 |
| incompatible pool chemicals | 0.498476 |
| NEISS pool | 0.468049 |
| Model Aquatic Health | 0.480364 |
| recreational water–associated outbreaks | 0.462463 |
| interactive fountains | 0.466184 |
| Minnesota pool | 0.465983 |
| pool chemical handling | 0.494798 |
| MDH environmental health | 0.48461 |
| median estimated number | 0.469883 |
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Centers for Disease Control and Prevention |
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Bismuth telluride, undoped - NIOSH Pocket Guide to Chemical Hazards |
null |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
|
| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Preconception Care - Planning for Pregnancy |
null |
| health history | 0.538164 |
| short-term dietary changes | 0.50802 |
| contaminants harmful materials | 0.517492 |
| previous pregnancy problems | 0.574033 |
| lifelong health problems | 0.556758 |
| mental health | 0.5151 |
| CDC Foundation | 0.427656 |
| family history information | 0.508985 |
| seizure disorders | 0.423401 |
| health care focus | 0.596231 |
| sickle cell disease | 0.505276 |
| genetic counseling | 0.576813 |
| healthiest pregnancy | 0.488333 |
| premature birth | 0.427806 |
| toxic substances | 0.777784 |
| preconception health | 0.713696 |
| major birth defects | 0.53775 |
| certain birth defects | 0.543376 |
| folic acid | 0.629921 |
| health care | 0.680449 |
| support services | 0.426261 |
| Environmental Health | 0.447816 |
| important steps | 0.4386 |
| pregnancy | 0.943113 |
|
| effective birth control | 0.56098 |
| rodent feces | 0.423244 |
| health | 0.776567 |
| healthy weight | 0.632584 |
| healthy eating | 0.437184 |
| birth defects | 0.774355 |
| healthy baby | 0.588805 |
| reproductive health | 0.442041 |
| new healthy habits | 0.534196 |
| baby’s brain | 0.433292 |
| doctor | 0.621125 |
| sexually transmitted diseases | 0.526273 |
| preconception health care | 0.584081 |
| local treatment center | 0.520665 |
| right vaccinations | 0.42532 |
| simple steps | 0.429248 |
| Health care professionals | 0.562661 |
| regular physical activity | 0.51174 |
| healthy pregnancy | 0.487982 |
| family history | 0.571731 |
| high blood pressure | 0.532707 |
| medical conditions | 0.527269 |
| Toxic Matters | 0.43031 |
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| 9223 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Feasibility of Using a Community-Supported Agriculture Program to Improve Fruit and Vegetable Inventories and Consumption in an Underresourced Urban Community - CDC |
Direct-to-consumer marketing efforts, such as community-supported agriculture (CSA), have been proposed as a solution for disparities in fruit and vegetable consumption. Evaluations of such efforts have been limited. The objective of this study was to test the feasibility of a CSA intervention to increase household inventory of fruits and vegetables and fruit and vegetable consumption of residents of an underresourced community. |
| North Carolina | 0.62702 |
| traditional CSA programs | 0.526806 |
| potential control participants | 0.548897 |
| vegetable consumption | 0.935712 |
| Prev Chronic Dis | 0.516834 |
| CSA program | 0.598636 |
| control group | 0.641263 |
| community food sources | 0.525326 |
| Translational Science Institute | 0.515845 |
| potential participants | 0.506467 |
| community nonprofit agency | 0.50333 |
| direct-to-consumer marketing efforts | 0.553397 |
| fresh produce consumption | 0.524585 |
| intervention group | 0.77669 |
| intervention families | 0.507986 |
| community action agency | 0.503121 |
| Fresh Healthy Living | 0.688813 |
| produce box | 0.549148 |
| overall household food | 0.503137 |
| food insecure households | 0.500669 |
| CSA intervention | 0.577553 |
| food access disparities | 0.521089 |
| grocery store | 0.501083 |
| low-income women | 0.520485 |
|
| potential intervention participants | 0.587227 |
| vegetable consumption measure | 0.528631 |
| intervention participants | 0.720106 |
| Farm Fresh Healthy | 0.686509 |
| local food | 0.506611 |
| fruit | 0.601167 |
| food pick-up opportunities | 0.501925 |
| Wake Forest School | 0.634688 |
| vegetables | 0.535338 |
| CSA share | 0.569835 |
| feasibility study | 0.527246 |
| healthy living program | 0.62633 |
| household food inventory | 0.51285 |
| Wake Forest University | 0.516556 |
| vegetable household inventory | 0.520849 |
| agency | 0.505838 |
| vegetable intake | 0.500607 |
| Intervention group participants | 0.596419 |
| Carolina Cooperative Extension | 0.540938 |
| food | 0.619133 |
| intervention group members | 0.549195 |
| well-matched control group | 0.504061 |
| CSA programs | 0.686432 |
| CSA members | 0.521179 |
|
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Centers for Disease Control and Prevention |
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Asthma - BRFSS 2008 - Table L2.1 Lifetime Asthma Prevalence Rate (Percent) by Sex and State or Territory |
BRFSS 2008 - Table L2.1 Lifetime Asthma Prevalence Rate (Percent) by Sex and State or Territory |
| || | 0.490376 |
| HI | 0.401025 |
| TX | 0.392214 |
| 0.99 | 0.517894 |
| **U.S. Total | 0.638481 |
| MD | 0.40203 |
| sample size | 0.91523 |
| binomial distribution | 0.636423 |
| MN | 0.396292 |
| MO | 0.391329 |
| IL | 0.399426 |
| MS | 0.398283 |
| MT | 0.394108 |
| AK | 0.413928 |
| standard error | 0.63359 |
| 10.6 | 0.516633 |
| 14.1 | 0.501535 |
| territories | 0.488898 |
| NE | 0.395954 |
| AZ | 0.410826 |
| NH | 0.394438 |
| 18.2 | 0.498443 |
| NJ | 0.39239 |
| 14.5 | 0.50866 |
| District | 0.385176 |
|
| VT | 0.388944 |
| NM | 0.394266 |
| FL | 0.406891 |
| NV | 0.394605 |
| NY | 0.394912 |
| SC | 0.389058 |
| SD | 0.390285 |
| small sample size | 0.845841 |
| GA | 0.401073 |
| CA | 0.414881 |
| 50 states | 0.617811 |
| WV | 0.387433 |
| U.S. Total** | 0.746942 |
| WY | 0.388914 |
| *CI denotes confidence | 0.869487 |
| normal approximation | 0.630641 |
| KS | 0.400307 |
| KY | 0.397258 |
| GU | 0.388995 |
| CT | 0.402968 |
| PA | 0.394308 |
| LA | 0.402906 |
| confidence interval | 0.918324 |
| TN | 0.388398 |
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Information for Specific Groups | Learn the Signs. Act Early | NCBDDD |
The Centers for Disease Control and Prevention’s (CDC) National Center on Birth Defects and Developmental Disabilities (NCBDDD), in collaboration with a number of national partners, launched a public awareness campaign called “Learn the Signs. Act Early.” The campaign aims to educate parents about childhood development, including early warning signs of autism and other developmental disorders, and encourages developmental screening and intervention. |
| Microsoft PowerPoint file | 0.767007 |
| ePub file | 0.682158 |
| Audio/Video file | 0.66831 |
| Email CDC-INFO | 0.620453 |
| Birth Defects | 0.816535 |
| Microsoft Word file | 0.770187 |
| Early Initiative Act | 0.763042 |
| Human Services | 0.615103 |
| Specific Groups  Families | 0.738021 |
| Healthcare Providers | 0.736596 |
| navigation Skip | 0.706656 |
| U.S. Department | 0.615251 |
| Milestone Tracker App | 0.732631 |
| Amazing Books | 0.625956 |
| Clifton Road Atlanta | 0.7115 |
| Disease Control | 0.612533 |
| Microsoft Excel file | 0.764146 |
| Tweet Share Compartir | 0.754819 |
| National Center | 0.724325 |
| list Skip | 0.714277 |
| Signs Home | 0.638 |
| page options Skip | 0.838932 |
| different file formats | 0.76835 |
| Apple Quicktime file | 0.759622 |
| Specific Groups | 0.879716 |
|
| Positive Parenting Tips | 0.711841 |
| Family Service Providers | 0.927219 |
| CDC A-Z | 0.746222 |
| RealPlayer file | 0.670758 |
| Adobe PDF file | 0.761399 |
| Groups | Learn | 0.654957 |
| Tools Videos | 0.624338 |
| Developmental Disabilities | 0.822351 |
| Free Materials View | 0.745212 |
| Search Form Controls | 0.990858 |
| Healthcare Providers Autism | 0.730855 |
| Content source | 0.614342 |
| Information For… | 0.743703 |
| Order Materials | 0.639416 |
| A-Z Index | 0.659195 |
| Child Development | 0.621267 |
| Program Health education | 0.723137 |
| Search Controls | 0.773449 |
| Early Intervention Contacts | 0.752431 |
| Policy Makers | 0.737713 |
| Text file | 0.672246 |
| Early Childhood Educators | 0.933569 |
| Head Start Programs | 0.744268 |
| RIS file | 0.679846 |
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Centers for Disease Control and Prevention |
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Hepatitis C: hacerles laprueba a los nacidos entre 1945 y 1965 salva vidas |
Cerca de 3 millones de estadounidenses tienen hepatitis C; la mayoría son baby boomers o personas que nacieron entre 1945 y 1965. Los baby boomers tienen 5 veces más probabilidades de tener hepatitis C. Si usted nació en esos años, hable con su médico acerca de hacerse la prueba |
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MMWR News Synopsis for February 13, 2014 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| pressure control rates | 0.350021 |
| human infectious diseases | 0.372228 |
| infectious diseases | 0.592278 |
| U.S. health systems | 0.395034 |
| Million Hearts® goal | 0.415613 |
| West Nile encephalitis | 0.305321 |
| heart disease | 0.353587 |
| public health threats | 0.33759 |
| percent rate | 0.25606 |
| health care professionals | 0.350895 |
| blood pressure | 0.986141 |
| health insurance plans | 0.654072 |
|
| National Quality Forum | 0.323882 |
| human services | 0.324548 |
| blood pressure control | 0.843269 |
| public health officials | 0.330474 |
| hantavirus pulmonary syndrome | 0.310518 |
| major heart disease | 0.338375 |
| .The U.S. Department | 0.335568 |
| high blood pressure | 0.956602 |
| newly recognized infections | 0.297624 |
| infectious illness | 0.229763 |
| percent target | 0.228829 |
| CDC Media Relations | 0.672297 |
|
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Preventing Type 2 Diabetes | Diabetes | NDPP |
National Diabetes Prevention Program |
| CDC Recognition | 0.237955 |
| lasting results | 0.236489 |
| trained lifestyle coach | 0.30632 |
| type | 0.325873 |
| diabetes prevention lifestyle | 0.405712 |
| body weight | 0.260058 |
| quick fix | 0.239348 |
| online CDC-recognized lifestyle | 0.298075 |
| CDC-recognized lifestyle change | 0.668657 |
| new skills | 0.236888 |
| fad diet | 0.23883 |
| lifestyle change program | 0.966028 |
| lifestyle coaches | 0.267491 |
| Program section | 0.2456 |
| health care costs | 0.264098 |
| sure thing | 0.239732 |
| structured lifestyle change | 0.305235 |
| healthier communities | 0.241001 |
| group support | 0.237403 |
| exercise class | 0.236778 |
| CDC-recognized diabetes prevention | 0.330393 |
| Diabetes Prevention Study | 0.303941 |
| lifestyle change programs | 0.401499 |
| heart attack | 0.275898 |
| United States | 0.235959 |
|
| certain aspects | 0.236441 |
| impaired glucose tolerance | 0.260085 |
| diabetes mellitus | 0.275909 |
| Programs work | 0.237371 |
| National DPP | 0.237313 |
| Change Program Details | 0.289592 |
| national diabetes prevention | 0.309544 |
| blood sugar test | 0.257511 |
| year-long program | 0.251161 |
| health care | 0.265093 |
| visit CDC | 0.241372 |
| Managing Diabetes webpage | 0.310738 |
| Fewer cases | 0.236125 |
| building confidence | 0.236883 |
| CDC-recognized program | 0.248293 |
| program—in person | 0.237869 |
| long commitment | 0.236857 |
| healthier eating | 0.238406 |
| physical activity | 0.273018 |
| employer-sponsored health plans | 0.262683 |
| prevention lifestyle change | 0.364594 |
| drastic weight loss | 0.263695 |
| risk | 0.247296 |
| notice changes | 0.237009 |
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Update: Interim Guidance for the Evaluation and Managementof Infants with Possible Congenital Zika Virus Infection - UnitedStates, August 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| validated developmental screening | 0.250449 |
| abnormal findings | 0.27803 |
| maternal testing | 0.267221 |
| congenital zika syndrome | 0.526251 |
| ABR testing | 0.254203 |
| primary care providers | 0.259177 |
| auditory brainstem response | 0.296186 |
| possible Zika virus | 0.327044 |
| probable Zika virus | 0.286832 |
| Zika virus test | 0.300156 |
| active Zika virus | 0.287496 |
| hearing screen | 0.256703 |
| health care providers | 0.319063 |
| Infant diagnostic testing | 0.253821 |
| provider concerns | 0.254796 |
| National Center | 0.252282 |
| maternal infection | 0.269433 |
| Zika virus RNA | 0.339266 |
| infants | 0.330916 |
| diagnostic testing | 0.261818 |
| maternal testing results | 0.253645 |
| laboratory evidence | 0.378306 |
| detectable Zika virus | 0.305531 |
| Zika virus disease | 0.286297 |
| perinatal Zika virus | 0.28586 |
|
| Zika virus transmission | 0.328943 |
| infant laboratory evaluation | 0.25895 |
| primary care provider | 0.274023 |
| infant serum | 0.254313 |
| maternal Zika virus | 0.39015 |
| maternal epidemiologic link | 0.253812 |
| infant laboratory testing | 0.275164 |
| infant Zika virus | 0.331766 |
| laboratory Zika virus | 0.293334 |
| Zika virus infection | 0.903378 |
| congenital infections | 0.267474 |
| Zika virus immunoglobulin | 0.276961 |
| congenital Zika infection | 0.31247 |
| congenital Zika virus | 0.604304 |
| comprehensive ophthalmologic exam | 0.256232 |
| congenital infection | 0.2952 |
| virus IgM testing | 0.298429 |
| Zika virus PCR | 0.283812 |
| newborn hearing screen | 0.251032 |
| postnatal infection | 0.254976 |
| positive zika virus | 0.326846 |
| Zika virus IgM | 0.331773 |
| virus testing results | 0.276776 |
| primary care | 0.278995 |
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