| 959 |
Centers for Disease Control and Prevention |
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Do You Know about Blood Clots and Travel? | CDC Features |
Blood clots can be a serious risk for anyone traveling more than four hours. Learn how to prevent dangerous blood clots. |
| DVT | 0.375327 |
| previous blood clot | 0.508329 |
| health problem | 0.345722 |
| leg | 0.394807 |
| individual risks | 0.343038 |
| legs | 0.343823 |
| potentially fatal condition | 0.371088 |
| leg cast | 0.367094 |
| left leg | 0.360358 |
| deep veins | 0.354263 |
| dangerous blood clots | 0.51873 |
| body mass index | 0.382306 |
| greater your chances | 0.343151 |
| irregular heartbeat | 0.344467 |
| birth control pills | 0.381592 |
| blood thinners | 0.363038 |
| long-distance airline flights | 0.398846 |
| symptoms | 0.374033 |
| Amaris White | 0.344836 |
| uncomfortable hostel beds | 0.375019 |
| Recent surgery | 0.34578 |
| recent cancer treatment | 0.378755 |
| medical treatment | 0.343093 |
| long distance | 0.345894 |
|
| long periods | 0.347428 |
| good news | 0.346227 |
| risk increases | 0.350632 |
| Varicose veins | 0.347571 |
| Limited movement | 0.344664 |
| long-distance travel | 0.398363 |
| lower leg | 0.359271 |
| pulmonary embolism | 0.39297 |
| deep breath | 0.343943 |
| long-distance trip | 0.356785 |
| Active cancer | 0.342753 |
| important thing | 0.342495 |
| air travel | 0.353676 |
| people | 0.346925 |
| common symptoms | 0.347979 |
| Older age | 0.342653 |
| doctor | 0.349903 |
| deep vein thrombosis | 0.551918 |
| long-distance travelers | 0.359879 |
| family history | 0.342835 |
| blood clots | 0.935156 |
| risk | 0.394413 |
| Hormone replacement therapy | 0.379306 |
| blood clot | 0.793103 |
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CLICK HERE |
| 4849 |
Centers for Disease Control and Prevention |
Html |
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Evaluation and Capacity Review Tools |
International influenza flu evaluation and capacity review tools - CDC |
| standard | 0.331821 |
| pandemic phases | 0.532343 |
| Español | 0.349877 |
| functions | 0.333897 |
| operational needs | 0.498893 |
| data gathering tool | 0.655874 |
| select capabilities | 0.527278 |
| Capacity Review Tool | 0.657289 |
| program planning | 0.503459 |
| pages | 0.533042 |
| identification | 0.331101 |
| MB | 0.332051 |
| modular sections | 0.490771 |
| epidemiologic sentinel site | 0.673034 |
| SARI | 0.344945 |
| cooperative agreement partners | 0.656202 |
| International Influenza Surveillance | 0.787918 |
| countries | 0.336506 |
| quality | 0.364823 |
| Pandemic Influenza Preparedness | 0.936208 |
| timeliness | 0.353923 |
| laboratory | 0.353015 |
| strengths | 0.332515 |
| National Inventory | 0.85629 |
| enhanced preparedness | 0.560454 |
|
| CDC-APHL International Influenza | 0.754711 |
| Background information | 0.483372 |
| single point | 0.521848 |
| influenza diagnostics | 0.600486 |
| specific public health | 0.67942 |
| PDF | 0.464487 |
| technical assistance | 0.488303 |
| KB | 0.718484 |
| en Français | 0.525798 |
| capacities | 0.335188 |
| Download | 0.403464 |
| national influenza laboratories | 0.751962 |
| acute respiratory illness | 0.651875 |
| questionnaires/site visit guidelines | 0.640483 |
| coverage | 0.334011 |
| available resources | 0.506896 |
| response | 0.370026 |
| series | 0.3312 |
| ongoing investment | 0.498055 |
| time | 0.363687 |
| Core Capabilities | 0.528932 |
| systematic approach | 0.492669 |
| Assessment Tool | 0.520998 |
| address deficiencies | 0.506681 |
|
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| 5565 |
Centers for Disease Control and Prevention |
Html |
en |
Bromacil - 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 |
|
CLICK HERE |
| 5770 |
Centers for Disease Control and Prevention |
Html |
en |
Trichloroethylene - 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 |
|
CLICK HERE |
| 6211 |
Centers for Disease Control and Prevention |
Html |
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Uterine Cancer |
Information about uterine cancer from CDC. |
| area | 0.360751 |
| common type | 0.601517 |
| pear-shaped organ | 0.697008 |
| Basic Information | 0.615341 |
| woman | 0.421261 |
| disease | 0.36983 |
| uterine cancer | 0.990963 |
| body parts | 0.601835 |
| hip bones | 0.649335 |
|
| pelvis | 0.409153 |
| stomach | 0.394319 |
| control | 0.369283 |
| uterus | 0.869059 |
| cells | 0.381901 |
| lining | 0.375086 |
| endometrial cancer | 0.593825 |
| womb | 0.398262 |
|
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| 8953 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Exploratory Analysis of Fast-Food Chain Restaurant Menus Before and After Implementation of Local Calorie-Labeling Policies, 2005"2011 - CDC |
Since 2008, several states and municipalities have implemented regulations requiring provision of nutrition information at chain restaurants to address obesity. Although early research into the effect of such labels on consumer decisions has shown mixed results, little information exists on the restaurant industry’s response to labeling. |
| case restaurant chains | 0.26253 |
| la carte entrées | 0.52244 |
| menu-labeling laws | 0.273652 |
| criteria | 0.339144 |
| fast-food restaurant menus | 0.293218 |
| chain restaurants | 0.510706 |
| fast-food menus | 0.286712 |
| nutritional criteria | 0.282909 |
| adult entrées | 0.39455 |
| New York City | 0.351601 |
| fast-food chain restaurants | 0.372739 |
| fast-food menu options | 0.286024 |
| children | 0.359301 |
| control restaurants | 0.780289 |
| restaurant menu items | 0.322123 |
| la carte entrée | 0.304247 |
| Healthier food options | 0.305572 |
| healthier items | 0.387819 |
| carte adult entrées | 0.269211 |
| average calories | 0.261864 |
| healthier adult entrées | 0.367017 |
| healthier menu options | 0.310184 |
| study period | 0.428602 |
| fast-food chain restaurant | 0.396471 |
| la carte | 0.524182 |
|
| fast-food menu offerings | 0.316229 |
| sodium | 0.289336 |
| fast-food menu items | 0.499006 |
| healthier options | 0.297695 |
| study | 0.487289 |
| restaurant chains | 0.338108 |
| fast-food chains | 0.283669 |
| average nutritional values | 0.265765 |
| lower-calorie menu items | 0.285143 |
| healthier restaurant choices | 0.289129 |
| nutritional quality | 0.325358 |
| sit-down chain restaurants | 0.303191 |
| case restaurants | 0.50215 |
| menu items | 0.944893 |
| fast-food restaurants | 0.321752 |
| food items | 0.262884 |
| adult menu items | 0.294966 |
| Drexel University | 0.272465 |
| chain restaurant companies | 0.601493 |
| calories | 0.284591 |
| healthier menu items | 0.387979 |
| mg sodium | 0.288083 |
| menu labeling | 0.417794 |
| healthier fast-food menu | 0.387955 |
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Centers for Disease Control and Prevention |
Html |
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Ebola Hemorrhagic Fever |
null |
| largest outbreak | 0.463787 |
| CDC | 0.255899 |
| references | 0.247964 |
| challenges | 0.247796 |
| infected individual | 0.459609 |
| source | 0.244787 |
| Spread | 0.256214 |
| ebolavirus | 0.255443 |
| U.S. | 0.247581 |
| health care workers | 0.966242 |
| List | 0.24833 |
| bodily fluids | 0.503314 |
| epidemic | 0.260643 |
|
| prevention measures | 0.440422 |
| friends | 0.246063 |
| highest risk | 0.716375 |
| exposure | 0.263499 |
| guidance | 0.250211 |
| partners | 0.245086 |
| West Africa | 0.430434 |
| person | 0.252071 |
| past outbreaks | 0.492345 |
| outbreak chronology | 0.497707 |
| managing | 0.249434 |
| family | 0.296743 |
| Ebola | 0.834934 |
|
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Centers for Disease Control and Prevention |
Html |
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Medidas de Prevención Diarias para Detener la Influenza |
La influenza es una enfermedad respiratoria contagiosa que puede causar una enfermedad leve o grave e incluso puede ocasionar la muerte - CDC |
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Centers for Disease Control and Prevention |
Html |
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Know Hepatitis B Campaign | CDC Features |
Learn about Hepatitis B and efforts to promote testing among Asian Americans |
| risk assessments | 0.269958 |
| country | 0.224708 |
| TV | 0.212734 |
| CDC | 0.232743 |
| Vietnamese television outlets | 0.336671 |
| hepatitis B testing | 0.560155 |
| hepatitis B. | 0.731318 |
| radio | 0.212741 |
| local communities | 0.267547 |
| multi-lingual communications campaign | 0.350732 |
| phase | 0.230261 |
| infographics | 0.216125 |
| key facts | 0.271966 |
| efforts | 0.212161 |
| materials | 0.21206 |
| Hepatitis B campaign | 0.713895 |
| Asian Americans | 0.91005 |
| daughter | 0.224854 |
| word | 0.21194 |
| parents | 0.21231 |
| features new videos | 0.333525 |
| newspaper | 0.212749 |
| animated video | 0.270353 |
| hepatitis B. Partners | 0.523915 |
| vaccine cards | 0.271847 |
|
| fact sheets | 0.270083 |
| visit Know Hepatitis | 0.469469 |
| variety | 0.225359 |
| chronic hepatitis B. | 0.556534 |
| digital | 0.212719 |
| local partners | 0.267086 |
| address | 0.212205 |
| social media outlets | 0.33975 |
| strategies | 0.212767 |
| community partners | 0.269212 |
| hepatitis B. Hep | 0.53718 |
| multi-media channels | 0.273951 |
| resources | 0.212206 |
| national coalition | 0.266966 |
| hepatitis | 0.825927 |
| total U.S. population | 0.33879 |
| medical care | 0.269241 |
| people | 0.212173 |
| Hep B United | 0.330031 |
| hepatitis B. Posters | 0.530883 |
| testing services | 0.269129 |
| Pacific Island countries | 0.342693 |
| public health challenge | 0.325434 |
| online | 0.212474 |
|
CLICK HERE |
| 15865 |
Centers for Disease Control and Prevention |
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en |
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 |
| LiDAR/photography flight data | 0.443565 |
| 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 |
| temperature readings | 0.419503 |
| 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 |
|
| 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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