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Centers for Disease Control and Prevention |
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Safe Transport in Emergencies | CDC Features |
September is National Preparedness Month. Read one family’s story to find out how emergency preparedness can affect children with special health care needs. |
| Independent Living Centers | 0.77431 |
| backup plan | 0.687985 |
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| similar emergencies | 0.663934 |
| Individual assistance | 0.652253 |
| government agencies | 0.651974 |
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| ice storm | 0.823175 |
| accessible transportation | 0.655501 |
| special health care | 0.998459 |
| individual needs | 0.648404 |
| Cerebral means | 0.675653 |
| reliable car | 0.665776 |
| severe ice storm | 0.80352 |
| recent hurricanes | 0.647695 |
| proper medical attention | 0.794601 |
| non-profit groups | 0.651896 |
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| reliable transportation | 0.690051 |
| safe environment | 0.662844 |
| pandemic influenza | 0.650594 |
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| quadriplegia cerebral palsy | 0.86656 |
| community organizations | 0.657246 |
| abnormal brain development | 0.775303 |
| transportation | 0.721458 |
| unexpected events | 0.649387 |
| Family Voices | 0.660494 |
| family | 0.67737 |
| major challenges | 0.67449 |
| local fire department | 0.650661 |
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Centers for Disease Control and Prevention |
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Healthy Weight: Success Stories: Phyllis |
Phyllis lost 200 lbs. Read her success story. |
| good habits | 0.495306 |
| junk food | 0.490299 |
| plane | 0.261594 |
| healthful food choices | 0.718854 |
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| waffles | 0.266699 |
| fewer calories | 0.911965 |
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| guidelines | 0.257651 |
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| weight | 0.53723 |
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| 15 minutes | 0.255566 |
| smaller portions | 0.486184 |
| healthy program | 0.477181 |
| formal exercise program | 0.732257 |
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| minutes,then | 0.255592 |
| effort | 0.25917 |
| fist | 0.26049 |
| regular exercise | 0.501179 |
| endurance | 0.254493 |
| vegetables | 0.326099 |
| house | 0.256717 |
| point | 0.263727 |
| life | 0.255569 |
| serving | 0.25364 |
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| fruits | 0.326069 |
| salads | 0.260449 |
| course | 0.261407 |
| higher calories | 0.581328 |
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| personal responsibility | 0.470307 |
| long bike rides | 0.682612 |
| personal choice | 0.464897 |
| places | 0.253476 |
| 45 minutes | 0.255514 |
| doughnuts | 0.269918 |
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Learn How to Shelter in Place |
Information on preparing for public health emergencies from the Centers for Disease Control and Prevention (CDC). Get a kit, make a plan, and be informed. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Methyl mercaptan - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Prevalence of ChronicCardiovascular and Metabolic Diseases in Senegalese Workers: ACross-Sectional Study, 2010 - CDC |
Noncommunicable diseases (NCDs) are a major public health threat, particularly in developing countries. In sub-Saharan Africa, the scarcity of reliable data on NCDs in the general population makes it difficult to develop efficient prevention strategies. The objective of this cross-sectional study was to assess the prevalence of 4 cardiometabolic NCDs among 402 private-sector workers in Dakar, Senegal: high blood pressure (HBP), diabetes, obesity, and chronic kidney disease (CKD). |
| NCDs | 0.643713 |
| study participants | 0.595955 |
| chronic kidney disease | 0.846268 |
| study | 0.632632 |
| cardiometabolic NCDs | 0.628599 |
| health care provider | 0.623748 |
| chronic noncommunicable diseases | 0.644229 |
| Senegalese workers | 0.634262 |
| Blood Pressure standards | 0.59618 |
| systolic blood pressure | 0.604782 |
| Senegalese private-sector workers | 0.603497 |
| major public health | 0.622391 |
| Saf Health Care | 0.60559 |
| sub-Saharan Africa | 0.855915 |
| Joint National Committee | 0.635431 |
| occupational health visits | 0.712996 |
| world public health | 0.623244 |
| cross-sectional study | 0.598995 |
| health care providers | 0.623859 |
| health care | 0.78333 |
| public health | 0.683302 |
| obesity | 0.600846 |
| participants | 0.62192 |
| sub-Saharan African adults | 0.596141 |
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| blood pressure | 0.894619 |
| health care resources | 0.649063 |
| risk factors | 0.717203 |
| World Health Organization | 0.667852 |
| routine occupational health | 0.667418 |
| body mass index | 0.626585 |
| primary health care | 0.630624 |
| private-sector workers | 0.621873 |
| BMC Public Health | 0.597111 |
| Gueye L. Prevalence | 0.653967 |
| high prevalence | 0.617657 |
| annual occupational health | 0.607697 |
| physical activity | 0.609613 |
| National Health | 0.600146 |
| National Kidney Foundation | 0.642074 |
| high blood pressure | 0.76798 |
| et al | 0.927488 |
| renal function | 0.648606 |
| CrossRef | 0.649705 |
| common cardiometabolic NCDs | 0.601404 |
| hypertension | 0.627021 |
| socioeconomic status | 0.609972 |
| physical inactivity | 0.677232 |
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Michael's Biography - Bill' Story - Real Stories - Tips from Former Smokers - Smoking & Tobacco Use |
The biography of Michael, a former smoker with COPD, who is featured in CDC's Tips from Former Smokers campaign. |
| thought | 0.404056 |
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| Michael | 0.990903 |
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| oxygen | 0.352177 |
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| energy | 0.351671 |
| period | 0.358677 |
| grandchildren | 0.360668 |
| exhaust | 0.35266 |
| hike | 0.355054 |
| ambulance | 0.353098 |
| community | 0.355174 |
| COPD—a condition | 0.608564 |
| little bit | 0.559573 |
| younger sister | 0.620414 |
| Diseased parts | 0.574748 |
| U.S. Army veteran | 0.855978 |
| good-bye | 0.366911 |
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| cigarettes | 0.361108 |
| volleyball | 0.351914 |
| obstructive pulmonary disease | 0.89437 |
| life force | 0.56322 |
| mountains | 0.351853 |
| fact | 0.355675 |
| death | 0.421847 |
| lung transplant | 0.569469 |
| cell | 0.353561 |
| good memories | 0.544532 |
| breath | 0.352563 |
| excuse | 0.366576 |
| smoking | 0.80794 |
| member | 0.360571 |
| lung volume reduction | 0.78858 |
| U.S. Army | 0.907941 |
| stark raving terror | 0.817326 |
| breathing | 0.350439 |
| ‘smoker | 0.357666 |
| people | 0.416183 |
| cigarette butts | 0.622562 |
| Tlingit tribe | 0.629014 |
| age | 0.35571 |
| smoking-related diseases | 0.609553 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0136 |
CDC - Wide Page example description goes here |
| diabetes tipo | 0.445224 |
| Fuerza Aérea | 0.947185 |
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Centers for Disease Control and Prevention |
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MMWR News Synopsis: July 17, 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. |
| Uganda Ministry | 0.471904 |
| Vegas tourist area | 0.445592 |
| percent | 0.33612 |
| Jennifer Sizemore | 0.346357 |
| appropriate management | 0.274013 |
| Nodding Syndrome | 0.599322 |
| BACs | 0.20942 |
| pedestrian blood alcohol | 0.540087 |
| sub-Saharan Africa | 0.282404 |
| northern Uganda | 0.584401 |
| systematic assessment | 0.274521 |
| collision sites | 0.496778 |
| U.S. DEPARTMENT | 0.275011 |
| future studies | 0.271225 |
| probable cases | 0.426336 |
| northeast Las Vegas | 0.44301 |
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| geographic locations | 0.288917 |
| newly developed consensus | 0.420592 |
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| pedestrian risks | 0.389386 |
| pedestrian death rates | 0.778483 |
| Study results | 0.289005 |
| Clark County | 0.288218 |
| urban areas | 0.289579 |
| cohesive strategy | 0.283999 |
| treatment effectiveness | 0.26794 |
| visitors | 0.26738 |
| pedestrian traffic deaths | 0.586919 |
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| homeless persons | 0.953388 |
| case definition | 0.269024 |
| Southern Nevada Health | 0.504567 |
| health-care resources | 0.285063 |
| sizemore@snhdmail.org | 0.344691 |
| residents | 0.267233 |
| HUMAN SERVICES | 0.274743 |
| CDC Media Relations | 0.460039 |
| Public Information Officer | 0.481943 |
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Growing Cancer Registries in the Caribbean |
CDC and its partners are developing a regional cancer registry hub in the Caribbean. |
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CLICK HERE |
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Centers for Disease Control and Prevention |
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Developing High-Resolution Descriptions of Urban HeatIslands: A Public Health Imperative |
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. |
| historic daily temperatures | 0.458233 |
| urban heat island | 0.500366 |
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| standard linear modeling | 0.419162 |
| public health interventions | 0.544032 |
| sensitivity analysis | 0.425503 |
| evening data-collection periods | 0.422847 |
| Planning Portland State | 0.426876 |
| low-lying vegetation cover | 0.548357 |
| extreme heat event | 0.488084 |
| heat stress | 0.459241 |
| extreme weather events | 0.438011 |
| strongest explanatory power | 0.421497 |
| study region | 0.427706 |
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| low-lying vegetation | 0.56232 |
| mean building heights | 0.433916 |
| lethal health hazard | 0.435862 |
| High-resolution data | 0.447845 |
| landscape features | 0.431774 |
| afternoon model | 0.418074 |
| places vulnerable individuals | 0.425052 |
| diurnal temperature cycles | 0.479701 |
| LiDAR-beam tree penetrability | 0.421714 |
| public health agencies | 0.434764 |
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| extreme heat events | 0.705278 |
| point cloud data | 0.44124 |
| temperature variation | 0.440615 |
| random forest modeling | 0.597788 |
| diverse landscape features | 0.421771 |
| land-use variables | 0.421577 |
| temperature sensor | 0.491106 |
| strongest effect | 0.479585 |
| canopy cover | 0.480825 |
| temperature | 0.52658 |
| Urban Studies | 0.43357 |
| temperature observation point | 0.448016 |
| urban heat | 0.907794 |
| building heights | 0.470183 |
| vulnerable human populations | 0.445663 |
| data-collection periods | 0.427679 |
| internal body temperatures | 0.460834 |
| Oregon Metro Regional | 0.429867 |
| empirically derived heat | 0.466004 |
| Portland State University | 0.636595 |
| buffer distances | 0.424067 |
| one-hour data-collection periods | 0.422053 |
| urban heat islands | 0.898419 |
| High-resolution data sets | 0.440684 |
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