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Centers for Disease Control and Prevention |
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Prevent Carbon Monoxide (CO) Poisoning | CDC Features |
When you set your clocks backward one hour Sunday, November 6, 2016, remember to check the batteries in your CO detector. |
| gas ranges | 0.534544 |
| door | 0.375229 |
| water heater | 0.536582 |
| great time | 0.557969 |
| back-up CO alarm | 0.61539 |
| emergencies | 0.343932 |
| camper | 0.342247 |
| wood | 0.341729 |
| animals | 0.375193 |
| heating | 0.38129 |
| Poisoning website | 0.62195 |
| carbon monoxide | 0.572979 |
| prompt medical attention | 0.707675 |
| furnaces | 0.342584 |
| lanterns | 0.348649 |
| clocks | 0.46495 |
| hurricanes | 0.342106 |
| Sunday | 0.345871 |
| back-up CO detector | 0.839345 |
| spaces | 0.394404 |
| gas oven | 0.516402 |
| basement | 0.340354 |
| coal burning appliances | 0.718276 |
| charcoal grill | 0.526471 |
| daylight savings time | 0.992237 |
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| United States | 0.545879 |
| vehicles | 0.341895 |
| alternative sources | 0.52991 |
| power outages | 0.544109 |
| gasoline | 0.340089 |
| battery | 0.513044 |
| house | 0.376741 |
| fireplace | 0.343255 |
| power outage | 0.526489 |
| winter storms | 0.539608 |
| poisoning prevention tips | 0.805359 |
| Prepare | 0.344662 |
| portable generators | 0.539027 |
| visit CDC | 0.511176 |
| charcoal-burning device | 0.507822 |
| stoves | 0.344628 |
| batteries | 0.401788 |
| breathing | 0.342332 |
| garage | 0.44727 |
| camp stove | 0.536794 |
| technician | 0.341407 |
| people | 0.420193 |
| home | 0.512293 |
| additional languages | 0.517366 |
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Centers for Disease Control and Prevention |
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Using small-area estimation method to calculate county-level prevalence of obesity in Mississippi, 2007-2009. |
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| county obesity rates | 0.554959 |
| adult obesity prevalence | 0.628246 |
| obesity rates | 0.630334 |
| state-level obesity rate | 0.547968 |
| obesity control programs | 0.563209 |
| Risk Factor Surveillance | 0.491375 |
| fixed-effect parameter estimates | 0.499932 |
| state-level model estimates | 0.500368 |
| design-based direct estimates | 0.497369 |
| public health problems | 0.500648 |
| obesity map | 0.529855 |
| county-level estimates | 0.569973 |
| highest obesity rates | 0.564445 |
| direct estimates | 0.592612 |
| BRFSS data | 0.515668 |
| small-area estimates | 0.49401 |
| education level | 0.491039 |
| obesity prevalence | 0.921383 |
| estimates | 0.603126 |
| obesity prevention policies | 0.564234 |
| Mississippi counties | 0.523634 |
| respective direct estimates | 0.495827 |
| county-level obesity prevalence | 0.735228 |
| obesity estimates | 0.576501 |
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| Mississippi | 0.564774 |
| Mississippi BRFSS data | 0.509211 |
| Mississippi State Department | 0.558524 |
| lower obesity rates | 0.546149 |
| higher obesity rates | 0.553229 |
| model-generated parameter estimates | 0.496378 |
| Behavioral Risk Factor | 0.492709 |
| county-level prevalence | 0.506324 |
| state obesity prevalence | 0.600585 |
| reliable county-level estimates | 0.526598 |
| Introduction
Obesity | 0.553804 |
| model estimates | 0.519951 |
| small-area county-level estimates | 0.519717 |
| random-effect parameter estimates | 0.533966 |
| county prevalence | 0.500516 |
| reliable prevalence estimates | 0.54662 |
| child obesity crisis | 0.539917 |
| obesity status | 0.527945 |
| obesity epidemic | 0.618814 |
| obesity prevention campaigns | 0.542819 |
| employment status | 0.498534 |
| small-area estimation | 0.57477 |
| small-area estimation method | 0.553213 |
| linear mixed model | 0.523482 |
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Centers for Disease Control and Prevention |
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o-sec-Butylphenol - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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Centers for Disease Control and Prevention |
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Global Health - Guinea-Bissau |
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| Content source | 0.892652 |
| HHS | 0.699811 |
| endorsement | 0.682673 |
| CDC | 0.617915 |
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| non-federal site | 0.998525 |
| Notice | 0.617482 |
| sponsors | 0.49087 |
| information | 0.490002 |
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Centers for Disease Control and Prevention |
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Off the Beaten Path: Violence, Women, and Art |
David J. Sencer CDC Museum |
| storytelling | 0.445367 |
| better understanding | 0.636715 |
| project | 0.475839 |
| girls | 0.476495 |
| hope | 0.43815 |
| issues | 0.477657 |
| executive director | 0.648156 |
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| themes | 0.437328 |
| basic human rights | 0.879973 |
| Yoko Ono | 0.720253 |
| awareness | 0.475565 |
| action | 0.44052 |
| nonprofit group Art | 0.856013 |
| Culture | 0.436962 |
| Beaten Path | 0.994825 |
| Randy Jayne Rosenberg | 0.895216 |
| important social messaging | 0.862091 |
| goal | 0.43886 |
| Japan | 0.442771 |
| important topic | 0.633104 |
| feeling | 0.451033 |
| countries | 0.442893 |
| Individual | 0.437232 |
| various definitions | 0.630715 |
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| actions | 0.437668 |
| Hank Willis Thomas | 0.907078 |
| Wangechi Mutu | 0.665496 |
| women | 0.476572 |
| abuse | 0.437851 |
| contemporary artists | 0.667916 |
| inspiration | 0.442344 |
| world | 0.441913 |
| new conversation | 0.645776 |
| Art Works | 0.845575 |
| audiences | 0.44218 |
| France | 0.442628 |
| violence | 0.797955 |
| exhibition | 0.43803 |
| USA | 0.44224 |
| address systems | 0.653492 |
| positive social change | 0.862909 |
| Kenya | 0.448942 |
| beliefs | 0.437531 |
| secure life | 0.660021 |
| Palestine | 0.455024 |
| Family | 0.437136 |
| Mona Hatoum | 0.68242 |
| Community | 0.437039 |
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Centers for Disease Control and Prevention |
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CDC - Sodium Reduction Resources for Everyone -DHDSP |
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| list Skip | 0.625394 |
| sodium intake | 0.94477 |
| health e-card | 0.378843 |
| page options Skip | 0.884253 |
| resources | 0.213579 |
| steps | 0.253112 |
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| navigation Skip | 0.630528 |
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| diet | 0.207591 |
| sodium reduction tools | 0.889688 |
| health effects | 0.560248 |
| public health | 0.347697 |
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Centers for Disease Control and Prevention |
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Exchange Transfusion - Malaria |
Malaria is a mosquito-borne disease caused by a parasite. CDC provides scientific leadership in fighting malaria at home and around the globe. |
| severe malaria | 0.953733 |
| CDC | 0.369135 |
| fact | 0.315352 |
| intravenous quinidine | 0.388233 |
| evidence | 0.349888 |
| data | 0.314688 |
| United States | 0.384968 |
| portion | 0.3169 |
| antimalarials | 0.315514 |
| significant association | 0.377859 |
| respiratory distress syndrome | 0.595819 |
| renal compromise | 0.388435 |
| survival outcome | 0.382603 |
| antimalarial drugs | 0.400915 |
| Adverse events | 0.378162 |
| exchange transfusion | 0.481979 |
| infected cells | 0.390146 |
| comprehensive study | 0.378625 |
| published literature | 0.376539 |
|
| adjunct ET | 0.509269 |
| cerebral malaria | 0.465888 |
| adjunct treatment | 0.406439 |
| toxic byproducts | 0.392081 |
| hypotension | 0.319437 |
| ventricular fibrillation | 0.384234 |
| acute respiratory distress | 0.600148 |
| complications | 0.315577 |
| entirety | 0.319241 |
| high parasite loads | 0.454134 |
| patients | 0.330635 |
| countries | 0.315553 |
| procedure | 0.315485 |
| National Malaria Surveillance | 0.524225 |
| rationale | 0.318754 |
| efficacy | 0.317835 |
| ET | 0.787431 |
| infected patient | 0.392683 |
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| 12378 |
Centers for Disease Control and Prevention |
Image |
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Breast Cancer: Know the Risks (600W x 2182H) |
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| 12482 |
Centers for Disease Control and Prevention |
Video |
en |
October 2013 ACIP Meeting -- Vaccine Supply |
Vaccine supply update by Dr. J Santoli
Comments on this video are allowed in accordance with our comment policy: http://www.cdc.gov/SocialMedia/Tools/CommentPolicy.html
This video can also be viewed at
http://streaming.cdc.gov/vod.php?id=60aaea444bbc2b7e07f4cabd5832b56920140110114625308 |
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Centers for Disease Control and Prevention |
Html |
en |
Use of Aspirin for Prevention of Recurrent AtheroscleroticCardiovascular Disease Among Adults - 20 States and the District ofColumbia, 2013 |
Jing Fang, MD1; Mary G. George, MD1; Yuling Hong, MD, PhD1; Fleetwood Loustalot, PhD1 (Author affiliations at end of text). |
| annual telephone survey | 0.573014 |
| fatal coronary events | 0.587123 |
| myocardial infarction | 0.584564 |
| National Health Interview | 0.577235 |
| Associated Risk Factors | 0.57189 |
| Public health practitioners | 0.573907 |
| optional BRFSS modules | 0.575419 |
| cardiovascular disease event | 0.585497 |
| data collection methods | 0.585132 |
| health care providers | 0.575125 |
| secondary prevention | 0.582521 |
| health care services | 0.575267 |
| ASCVD risk factors | 0.688772 |
| hemorrhagic stroke accounts | 0.59184 |
| BRFSS cardiovascular health | 0.593758 |
| ischemic vascular disease | 0.596618 |
| sociodemographic characteristics | 0.587699 |
| different risk groups | 0.574014 |
| regular aspirin therapy | 0.798941 |
| Behavioral Risk Factor | 0.581202 |
| current guidelines | 0.573845 |
| heart attack | 0.813753 |
| median state response | 0.574291 |
| ASCVD risk status | 0.604103 |
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| atherosclerotic cardiovascular disease | 0.659529 |
| eligible respondents | 0.604806 |
| State Public Health | 0.583994 |
| secondary ASCVD prevention | 0.706398 |
| states | 0.607439 |
| acute coronary syndrome | 0.585298 |
| ASCVD risk factor | 0.595999 |
| heart attack prevention | 0.656305 |
| risk factors management | 0.572083 |
| cardiovascular health module | 0.707928 |
| pain relief | 0.615364 |
| ischemic stroke | 0.603925 |
| cardiovascular disease | 0.705769 |
| Million Hearts initiative | 0.609187 |
| antiplatelet medications | 0.592662 |
| Promote School Health | 0.577212 |
| regular aspirin | 0.980409 |
| stroke | 0.668975 |
| Chronic Disease Prevention | 0.624592 |
| Mary G. George | 0.577922 |
| cardiovascular disease events | 0.5898 |
| coronary heart disease | 0.731429 |
| stroke prevention | 0.657322 |
| cardiovascular disease prevention | 0.609005 |
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