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Centers for Disease Control and Prevention |
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Diagnosis and Screening for Obesity-Related Conditions AmongChildren and Teens Receiving Medicaid - Maryland, 2005-2010 |
Lee Hurt, DrPH1,2, Cheryl De Pinto, MD2, Johnna Watson2, Marti Grant, MA2, Julie Gielner3 (Author affiliations at end of text). |
| study participants | 0.643151 |
| Healthy Kids | 0.477488 |
| 85th–94th percentiles | 0.717995 |
| well-child visit | 0.49366 |
| obesity screening | 0.44779 |
| teens | 0.412181 |
| health-care providers | 0.39003 |
| elevated BMI | 0.385205 |
| comorbid conditions | 0.398407 |
| 85th percentile | 0.754099 |
| Medicaid/MCHP encounter data | 0.447615 |
| children | 0.653445 |
| BMI percentiles | 0.455803 |
| Maryland Medicaid | 0.515183 |
| laboratory screening | 0.367577 |
| lipid panel | 0.411835 |
| BMI percentile | 0.57014 |
| overweight category | 0.359858 |
| obesity-related conditions | 0.47824 |
| obesity prevalence | 0.424995 |
| obesity | 0.693064 |
| BMI | 0.706581 |
| risk factors | 0.47409 |
| Medicaid/MCHP enrollment data | 0.351547 |
|
| Maryland Medicaid/MCHP children | 0.397677 |
| Maryland Medicaid HealthChoice | 0.362279 |
| body mass index | 0.464589 |
| Expert Committee | 0.702271 |
| BMI groups | 0.381418 |
| laboratory tests | 0.777388 |
| obese study participants | 0.614047 |
| obesity risk factors | 0.401968 |
| screening laboratory tests | 0.387391 |
| significantly higher prevalence | 0.400815 |
| Maryland Department | 0.354477 |
| Maryland study participants | 0.406032 |
| family history | 0.526295 |
| Expert Committee recommendations | 0.637773 |
| childhood obesity | 0.404125 |
| Health Program enrollees | 0.416418 |
| obese participants | 0.416294 |
| non-Hispanic black children | 0.38368 |
| final study population | 0.358844 |
| national Hispanic prevalence | 0.371885 |
| maryland children | 0.463175 |
| Kids study participants | 0.486424 |
| 95th percentile | 0.914844 |
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Centers for Disease Control and Prevention |
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November 5, 2010: Outbreak of Human E. coli O157 Infections Associated with Cheese Epi Curve | E. coli CDC |
FDA, CDC, and Costco warn consumers to avoid Bravo Farms Dutch Style Gouda cheese |
| average | 0.332548 |
| CDC | 0.338167 |
| Human E. coli | 0.707677 |
| ill | 0.331779 |
| O157 Infections Associated | 0.603739 |
| number | 0.327975 |
| persons | 0.327935 |
| Illnesses | 0.330077 |
| person | 0.326684 |
|
| H7 Infections Associated | 0.662981 |
| Cheese Epi Curve | 0.64928 |
| epidemic curve | 0.464742 |
| chart | 0.357068 |
| E. coli | 0.937647 |
| outbreak strain | 0.691721 |
| Multistate Outbreak | 0.564472 |
| Outbreak Investigations | 0.550222 |
|
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Centers for Disease Control and Prevention |
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Science Clips - Monday, September 13, 2010 |
null |
| Cox PJ | 0.829149 |
| rotavirus diarrhea | 0.775704 |
| PLoS ONE. | 0.840521 |
| Swanson NG | 0.786268 |
| Valley fever outbreak | 0.782152 |
| CDC Science Clips | 0.93079 |
| national socioeconomic disparities | 0.790229 |
| Nutrition Examination Survey | 0.789839 |
| autism spectrum disorder | 0.774181 |
| new weekly digest | 0.794388 |
| current cigarette smoking | 0.773673 |
| new cocaine adulterant | 0.786414 |
| Chief Science Officer | 0.803815 |
| Shieh WJ | 0.79451 |
| U.S. cross-sectional study | 0.795613 |
| inflammatory bowel disease | 0.787762 |
| Clin Infect Dis. | 0.78823 |
| elongate mineral particles | 0.773667 |
| Rift Valley fever | 0.835954 |
| nurses benefits patients | 0.777222 |
| Dimens Dent Hyg. | 0.785046 |
| rapid diagnostic tests | 0.778328 |
| Stephen B. Thacker | 0.87637 |
| home healthcare workers | 0.780512 |
| abnormal flora management | 0.773176 |
|
| Parental socioeconomic position | 0.781054 |
| Rotavirus disease | 0.783859 |
| United States | 0.827142 |
| Njenga MK | 0.785608 |
| Child Health J. | 0.793586 |
| youth study | 0.801145 |
| Emerg Med J. | 0.77701 |
| Comparative field performance | 0.778994 |
| primary school outbreak | 0.798524 |
| national diabetes registries | 0.79241 |
| community response coalitions | 0.790531 |
| specimen processing methods | 0.7805 |
| African Rotavirus Surveillance | 0.810811 |
| public health literature | 0.790973 |
| B. Thacker CDC | 0.918532 |
| Caruso CC | 0.785937 |
| potent neurotrophic activity | 0.781001 |
| Steele AD | 0.821702 |
| elevated blood pressure | 0.794098 |
| Zaki SR | 0.786255 |
| intimate partner violence | 0.833486 |
| Breiman RF | 0.77903 |
| human rotavirus strains | 0.815967 |
| Thacker CDC Library | 0.918516 |
|
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Centers for Disease Control and Prevention |
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Strychnine - 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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| 6663 |
Centers for Disease Control and Prevention |
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CDC Grand Rounds: Dietary Sodium Reduction - Time for Choice |
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. |
| U.S. food supply | 0.497294 |
| professional health organizations | 0.470473 |
| New York City | 0.670979 |
| sodium intake reduction | 0.713058 |
| sodium reduction | 0.703175 |
| conducts food composition | 0.473908 |
| salt intake | 0.502433 |
| National Salt Reduction | 0.467478 |
| daily sodium intake | 0.667624 |
| critical public health | 0.485829 |
| blood pressure | 0.570183 |
| sodium content | 0.819185 |
| feasible sodium reduction | 0.622005 |
| U.S. dietary sodium | 0.631633 |
| food supply | 0.531695 |
| essential food processing | 0.476361 |
| Excess dietary sodium | 0.660301 |
| sodium values | 0.642813 |
| sodium consumption | 0.597769 |
| sodium intake | 0.971779 |
| Reduce Sodium Intake | 0.687528 |
| United States | 0.565825 |
| dietary sodium | 0.695487 |
| major contributor | 0.46778 |
| dietary sodium reduction | 0.650962 |
|
| blood pressure levels | 0.468829 |
| food label data | 0.477915 |
| Janelle P. Gunn | 0.491974 |
| restaurant foods | 0.488291 |
| population sodium intake | 0.674359 |
| Current dietary guidelines | 0.468077 |
| dietary intake | 0.512013 |
| food industry participation | 0.480105 |
| food industry | 0.511334 |
| urgent public health | 0.467162 |
| public health | 0.552152 |
| American Public Health | 0.478551 |
| CDC Grand Rounds | 0.512418 |
| sodium levels | 0.596815 |
| York City Health | 0.476683 |
| retail food standards | 0.473246 |
| U.S. adults | 0.605319 |
| lower sodium products | 0.630906 |
| sodium reduction-related activities.¶¶ | 0.5985 |
| public health problem | 0.471923 |
| high blood pressure | 0.561516 |
| major U.S. city | 0.475882 |
| restaurant food categories | 0.477718 |
| public health science | 0.485083 |
|
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Global Routine Vaccination Coverage, 2011 |
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. |
| regular vaccination coverage | 0.344626 |
| Haemophilus influenzae type | 0.381109 |
| global routine vaccination | 0.341935 |
| immunization program performance | 0.297297 |
| DTP doses | 0.327741 |
| polio vaccine | 0.30365 |
| routinely recommended vaccines | 0.287814 |
| oral poliovirus vaccine | 0.390817 |
| rotavirus vaccine | 0.295585 |
| routine vaccination coverage | 0.474277 |
| incompletely vaccinated children | 0.923447 |
| Western Pacific Region | 0.384524 |
| Global Immunization Vision | 0.334495 |
| United Nations Children | 0.428249 |
| vaccine doses | 0.426574 |
| vaccination coverage | 0.803462 |
| routine childhood vaccination | 0.29353 |
| national immunization programs | 0.437195 |
| Global Immunization Div | 0.301588 |
| global vaccination coverage | 0.357589 |
| particular vaccine dose | 0.441943 |
| pneumococcal conjugate vaccine | 0.356878 |
| routine immunization services | 0.304808 |
|
| coverage | 0.822665 |
| Americas Region | 0.282853 |
| 3-dose DTP series | 0.289737 |
| World Health Organization | 0.391909 |
| hepatitis B vaccine | 0.429419 |
| global DTP3 coverage | 0.344297 |
| global coverage | 0.39647 |
| traditional EPI vaccines | 0.288046 |
| global vaccine action | 0.358468 |
| countries | 0.644014 |
| administrative coverage | 0.34814 |
| DTP dose | 0.313929 |
| vaccine-preventable disease–associated morbidity | 0.286312 |
| South-East Asia Region | 0.349546 |
| rotavirus vaccination series | 0.294606 |
| national DTP3 coverage | 0.44221 |
| diphtheria-tetanus-pertussis vaccine | 0.40763 |
| vaccine | 0.690014 |
| DTP vaccine | 0.382335 |
| bacille Calmette-GuУЉrin vaccine | 0.335116 |
| measles-containing vaccine | 0.454435 |
| target age group | 0.49782 |
| type b vaccine | 0.352504 |
|
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PanFlu Storybook - I Survived, Elmer Kretzschmar |
I Survived, The staggering statistics associated with pandemics sometimes makes it difficult to remember that each number represents a single, human life. In this section, survivors share their intimate recollections of either their own illness or that of a loved one. All these storytellers are 90-plus years of age and they have carried with them for a lifetime their memories of the 1918 flu pandemic. |
| shoe store | 0.620329 |
| navigation Skip | 0.79909 |
| Clarence | 0.452413 |
| mother | 0.438682 |
| fondest memories | 0.644623 |
| school | 0.437752 |
| Storyteller | 0.454317 |
| nurse | 0.489191 |
| father Otto Kretzschmar | 0.875972 |
| Christmas programs | 0.605754 |
| list Skip | 0.797439 |
| San Antonio | 0.622021 |
| page options Skip | 0.993552 |
|
| flu | 0.514116 |
| Charles City | 0.595575 |
| home | 0.453308 |
| Iowa | 0.517498 |
| violinist | 0.449849 |
| Texas | 0.439248 |
| homemaker | 0.467905 |
| Minnie | 0.456984 |
| earache | 0.476223 |
| Strawberry Point | 0.627684 |
| brother | 0.441831 |
| Elmer Kretzschmar | 0.648925 |
| Location | 0.441651 |
|
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Centers for Disease Control and Prevention |
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El tabaquismo y la enfermedad de Buerger - Enfermedades & afecciones - Consejos de exfumadores |
La campaña Consejos de exfumadores muestra casos reales de personas que padecen afecciones por fumar o por la exposición al humo de segunda mano. |
| Archivo Apple Quicktime | 0.706668 |
| Archivo RealPlayer | 0.59422 |
| Archivo Zip Comprimido | 0.701663 |
| Archivo Microsoft PowerPoint | 0.730005 |
|
| Archivo Adobe PDF | 0.705275 |
| Archivo Microsoft Excel | 0.701641 |
| Archivo Microsoft | 0.965209 |
|
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Centers for Disease Control and Prevention |
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Vaccines: VPD-VAC/HepB/Perinatal Coordinators |
Hepatitis B: States Perinatal Coordinator List |
| DPHHS Immunization Program | 0.499053 |
| Perinatal Hepatitis | 0.972856 |
| Hepatitis Coordinator | 0.496875 |
| Immunization Program | 0.829699 |
| Human Services | 0.49328 |
| Hepatitis B Program | 0.488977 |
| P.O. Box | 0.523206 |
| Immunization Nurse Manager | 0.485807 |
| Department | 0.535288 |
| Kentucky Immunization Program | 0.515895 |
| Disease Control | 0.481673 |
| Public Health Informatics | 0.495333 |
| Coordinator Perinatal Hepatitis | 0.558641 |
| Adult Immunization Coordinator | 0.510953 |
| fax | 0.716487 |
| Hawaii Immunization Branch | 0.483954 |
| Public Health Nurse | 0.518064 |
| Palau Immunization Program | 0.494484 |
| Prevention Program Coordinator | 0.530081 |
| Immunizations Perinatal Hepatitis | 0.50242 |
| Community Health Nurse | 0.478808 |
| Public Health Services | 0.481676 |
| State Department | 0.485877 |
| County Immunization Program | 0.508401 |
| Immunization Program Director | 0.503384 |
|
| Immunization Epidemiologist | 0.480905 |
| Immunization Branch | 0.505706 |
| RN | 0.537375 |
| National Immunization Program | 0.50243 |
| Hepatitis B Coordinator | 0.758566 |
| Public Health | 0.759686 |
| Hepatitis Program Manager | 0.494853 |
| Immunization Division | 0.50357 |
| NH Immunization Program | 0.496249 |
| Utah Immunization Program | 0.492478 |
| Health Program Representative | 0.480526 |
| Coordinator Resource Center | 0.497143 |
| Phone | 0.668762 |
| secondary contact | 0.54688 |
| street | 0.486062 |
| Immunization Program Services | 0.500908 |
| Program Phone | 0.491165 |
| Public Health Program | 0.498694 |
| Hepatitis B Prevention | 0.592007 |
| PO Box | 0.488873 |
| Health Nurse Coordinator | 0.526493 |
| Public Health Division | 0.480905 |
| fax number | 0.499178 |
| Hepatitis Prevention Manager | 0.479624 |
|
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Facts, Figures & Registry of Recognized Organizations | NDPP | Diabetes |
National Diabetes Prevention Program |
| New | 0.414278 |
| key activities | 0.479738 |
| United States | 0.558225 |
| type | 0.463905 |
| toll | 0.416309 |
| National DPP | 0.953007 |
| burden | 0.421051 |
| Section… | 0.416202 |
| area—that | 0.414341 |
| change programs | 0.48119 |
| National Diabetes Prevention | 0.680276 |
| CDC-recognized lifestyle change | 0.688615 |
| 5.31MB | 0.413723 |
| prediabetes | 0.438524 |
|
| impact | 0.416053 |
| National Diabetes Statistics | 0.64187 |
| lifestyle change program | 0.541304 |
| offer CDC-recognized lifestyle | 0.554412 |
| Registry | 0.414691 |
| list | 0.414388 |
| Facts | 0.413885 |
| efforts | 0.413525 |
| health problems | 0.495848 |
| Diabetes Prevention Program | 0.775201 |
| Prevention Program report | 0.533875 |
| national prevention effort | 0.558436 |
| Recognized Organizations | 0.487145 |
|
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