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Vital Signs: Food Categories Contributing the Most to Sodium Consumption - United States, 2007 - 2008 |
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. |
| total dietary sodium | 0.48601 |
| sodium density | 0.519489 |
| 2-day diet sample | 0.41527 |
| overall sodium consumption | 0.60957 |
| High sodium consumption | 0.5513 |
| daily sodium consumption | 0.665393 |
| sodium reduction | 0.467769 |
| per-calorie dietary sodium | 0.485006 |
| food manufacturers | 0.391754 |
| Nutrition Examination Survey | 0.526277 |
| food category | 0.462103 |
| sodium content | 0.539098 |
| mean sodium density | 0.515096 |
| sodium consumed* | 0.476931 |
| fast food/pizza | 0.400303 |
| population sodium consumption | 0.588081 |
| National Health | 0.418943 |
| Excessive sodium consumption | 0.553601 |
| dietary sodium consumption | 0.552135 |
| food categories | 0.683717 |
| dietary sodium sources | 0.496448 |
| food source categories | 0.433936 |
| pasta mixed dishes | 0.41156 |
| average U.S. sodium | 0.48316 |
| sodium consumption | 0.936561 |
|
| Excess sodium consumption | 0.54843 |
| United States | 0.564718 |
| low sodium foods | 0.496813 |
| Mean daily sodium | 0.493308 |
| food source category | 0.402665 |
| population proportions | 0.426362 |
| mean sodium consumption | 0.519697 |
| single WWEIA code | 0.391329 |
| specific food categories | 0.425351 |
| Average sodium consumption | 0.550239 |
| U.S. sodium intake | 0.540243 |
| mean population sodium | 0.491675 |
| specific food | 0.43561 |
| total sodium consumption | 0.562415 |
| specific food category | 0.423111 |
| meat mixed dishes | 0.409461 |
| 24-hour dietary recalls | 0.425501 |
| Average daily sodium | 0.506082 |
| complex sampling design | 0.415902 |
| food source | 0.438834 |
| diet sample weights | 0.413007 |
| 24-hour dietary recall | 0.51831 |
| daily population sodium | 0.522109 |
| population proportion | 0.486451 |
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NCEH A to Z Index - M |
Resources for the National Center for Environmental Health |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Email Updates: April 8, 2013'Clinicians Outreach and Communication Activity (COCA) |
CDC Clinician Outreach and Communication Activity (COCA). Providing clinicians the most current and reliable information on emerging public health threats, such as pandemics, natural disasters, and bioterrorism. |
| CDC | 0.944711 |
| avian influenza | 0.701755 |
| Novel Influenza | 0.564861 |
| Public Health Matters | 0.700499 |
| FDA Safety Information | 0.532228 |
| emergency response plan | 0.567066 |
| CDC Health Advisory | 0.770369 |
| United States concerns | 0.548912 |
| – (CDC) | 0.670078 |
| CDC Science Clips | 0.759521 |
| Additional COCA Conference | 0.569152 |
| CDC Influenza Division | 0.802055 |
| health care providers | 0.631142 |
| Weekly Flu View | 0.544458 |
| Free CE credit/contact | 0.530903 |
| on-demand emergency preparedness | 0.587532 |
| World Health Organization | 0.564339 |
| southwestern United States | 0.538345 |
| public health emergencies | 0.815461 |
| participatory preparedness activity | 0.576709 |
| Health Matters Blog | 0.690857 |
| influenza vaccine effectiveness | 0.610264 |
| emergency preparedness | 0.599856 |
| Chinese public health | 0.586434 |
|
| CDC presenters | 0.655327 |
| United States | 0.550883 |
| H7N9 Influenza Cases | 0.70508 |
| Emergency Kit Cook-Off | 0.561578 |
| COCA Email Update | 0.578024 |
| novel avian influenza | 0.629603 |
| public health community | 0.601162 |
| pandemic influenza | 0.589199 |
| CDC Telebriefing | 0.699433 |
| flu vaccine options | 0.54988 |
| public health | 0.955645 |
| Specific Hazards preparedness | 0.572106 |
| emergency food kit | 0.557035 |
| time avian influenza | 0.632748 |
| Eastern Time | 0.545988 |
| VICNetwork Webinar | 0.53605 |
| CDC Press Release | 0.755972 |
| human infections | 0.535298 |
| severe respiratory illness | 0.631579 |
| weekly influenza surveillance | 0.604182 |
| flu season | 0.548205 |
| Response Training Resources | 0.542165 |
| Valley Fever | 0.540627 |
| CDC subject matter | 0.752913 |
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CDC Director to highlight steps being taken to improve laboratory quality and safety after recent lab incidents | Media Advisory | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Roybal Campus location | 0.969998 |
| media availability | 0.393919 |
| CDC | 0.535909 |
| lab incidents | 0.593699 |
| Non-Media | 0.258199 |
| http://www.onlinevideoservice.com/clients/CDC/?mount=CDC3 | 0.233961 |
| Press Room | 0.424134 |
| QPSK | 0.253276 |
| Clifton Road NE | 0.574325 |
| Disease Control | 0.404449 |
| Important Instructions | 0.39725 |
| high call volume | 0.384708 |
| a.m. | 0.268462 |
| CDC Media | 0.514097 |
| touchtone phone | 0.399243 |
| http://wm.onlinevideoservice.com/CDC1 | 0.234183 |
| ET | 0.394927 |
| Content | 0.238724 |
| HUMAN SERVICES | 0.381647 |
| Georgia | 0.266435 |
| press conference | 0.494214 |
| media briefing | 0.790849 |
| Teleport trouble number | 0.566059 |
| 10-minutes | 0.252994 |
|
| Downlink frequency | 0.411598 |
| Centers | 0.233886 |
| reporters | 0.260089 |
| highlights actions | 0.594014 |
| security check | 0.377894 |
| Modulation DVBS | 0.406176 |
| Symbol Rate | 0.400205 |
| transcript | 0.261176 |
| Data Rate | 0.398731 |
| Atlanta | 0.302751 |
| Chroma | 0.247999 |
| U.S. DEPARTMENT | 0.38195 |
| PASSCODE | 0.254297 |
| Flash | 0.234077 |
| Windows Media | 0.416504 |
| Tom Harkin Global | 0.58541 |
| G17/18K Slot | 0.40564 |
| question | 0.291257 |
| agency | 0.266917 |
| FEC | 0.25129 |
| recent anthrax lab | 0.932568 |
| main press office | 0.562233 |
| anthrax lab incident | 0.944286 |
| report | 0.267078 |
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Norovirus | Trends of Norovirus-associated Outcomes, Figures | CDC |
Shows trends in norovirus-associated outcomes, specifically death, hospitalizations, outpatient visits, and emergency department visits |
| winter | 0.608953 |
| Outbreaks | 0.337088 |
| U.S. urgent care | 0.495769 |
| Page | 0.325909 |
| emergency department | 0.519102 |
| pandemic virus strain | 0.90799 |
| number | 0.424675 |
|
| U.S. hospitalizations | 0.424953 |
| U.S. medical office | 0.481149 |
| norovirus illness | 0.415337 |
| Outpatient visits | 0.420752 |
| Emergency department visits | 0.496613 |
| Trends | 0.331676 |
| deaths | 0.372482 |
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Norovirus | NoroSTAT Frequently Asked Questions | CDC |
Answers to questions about NoroSTAT including why it's important, types of data collected. |
| report laboratory data | 0.206209 |
| CDC | 0.291233 |
| departments share NORS | 0.289921 |
| norovirus outbreaks | 0.243912 |
| current norovirus outbreak | 0.295603 |
| norovirus outbreak | 0.538478 |
| NoroSTAT | 0.236596 |
| epidemiologic data | 0.252459 |
| territorial health departments | 0.220282 |
| standardized reporting practices | 0.203963 |
| Foodborne Outbreak Online | 0.276873 |
| CaliciNet | 0.213274 |
| additional epidemiologic data | 0.211694 |
| current outbreak activity | 0.37215 |
|
| outbreak setting | 0.29786 |
| state health departments | 0.914428 |
| local health departments | 0.259898 |
| high norovirus outbreak | 0.28904 |
| preliminary epidemiologic data | 0.217479 |
| NORS | 0.364647 |
| norovirus outbreak reporting | 0.39419 |
| outbreak surveillance | 0.253834 |
| outbreak characteristics | 0.296454 |
| National Outbreak Reporting | 0.398585 |
| outbreak onset date | 0.29128 |
| outbreak frequency | 0.294069 |
| strain-specific norovirus outbreak | 0.314377 |
| norovirus outbreak data | 0.297869 |
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Texas Reports Positive Test for Ebola in One Additional Healthcare Worker | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Ebola treatment | 0.598005 |
| worker testing | 0.428968 |
| infection control nurses | 0.530121 |
| hospital staff | 0.454319 |
| healthcare safety | 0.42662 |
| Hospital Association/1199SEIU Healthcare | 0.547118 |
| CDC experts | 0.559663 |
| appropriate patient notification | 0.528942 |
| New York City | 0.502033 |
| Disease Control | 0.44099 |
| health care personnel | 0.569198 |
| ongoing investigation | 0.419959 |
| U.S. healthcare providers | 0.519857 |
| health-care workers | 0.434393 |
| American Nurses Association | 0.503856 |
| Quality Care | 0.436404 |
| Texas Department | 0.53852 |
| additional team | 0.437091 |
| additional training | 0.422918 |
| Ebola patients | 0.692949 |
| Ebola | 0.812958 |
| Emory University hospital | 0.55348 |
| positive result | 0.425479 |
| additional health care | 0.589788 |
| potential exposures | 0.433225 |
|
| health monitoring | 0.430374 |
| Texas Presbyterian Hospital | 0.594249 |
| Team members | 0.430766 |
| frontline healthcare workers | 0.521268 |
| infection control | 0.655047 |
| State Health Services | 0.743499 |
| proper public health | 0.519966 |
| Dallas hospital | 0.606745 |
| incubation period | 0.504265 |
| index patient | 0.553232 |
| greater Dallas community | 0.513677 |
| health care workers | 0.588754 |
| Confirmation testing | 0.432539 |
| Prevention’s laboratory | 0.434362 |
| hospital preparedness | 0.457845 |
| health-care settings | 0.426208 |
| additional exposures | 0.439309 |
| health care worker | 0.765315 |
| cdc response team | 0.914003 |
| infection control protocols | 0.527363 |
| local public health | 0.534247 |
| preliminary tests | 0.436128 |
| peer-to-peer training | 0.424559 |
| American Hospital Association | 0.53604 |
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Alcohol Use and Binge Drinking Among Women of Childbearing Age - United States, 2011-2013 |
Cheryl H. Tan, MPH1; Clark H. Denny, PhD1; Nancy E. |
| higher discretionary income | 0.350764 |
| significantly higher frequency | 0.364429 |
| binge drinkers | 0.456623 |
| female binge drinker | 0.432963 |
| alcohol retailers | 0.378766 |
| Risk Factor Surveillance | 0.38579 |
| nonmarried pregnant women | 0.42933 |
| married women | 0.351397 |
| binge drinking | 0.910234 |
| pregnant women | 0.781619 |
| negative birth outcomes | 0.350475 |
| alcohol taxes | 0.379153 |
| Preventive Services Task | 0.380516 |
| Excessive alcohol use* | 0.424977 |
| alcohol | 0.579108 |
| ) data. | 0.352069 |
| adult binge drinkers | 0.433845 |
| drinking patterns | 0.389241 |
| married pregnant women | 0.427995 |
| Nancy E. Cheal | 0.350889 |
| alcohol screening | 0.441066 |
| significantly higher prevalence | 0.391397 |
| brief intervention | 0.361761 |
| binge drinking episodes | 0.52877 |
| self-reported alcohol | 0.386998 |
|
| sociodemographic characteristics | 0.370225 |
| fetal alcohol spectrum | 0.451997 |
| Cheryl H. Tan | 0.390025 |
| nonpregnant binge drinkers | 0.440485 |
| Behavioral Risk Factor | 0.385913 |
| alcohol engage | 0.38535 |
| prevalence ratios | 0.358847 |
| overall prevalence | 0.356136 |
| alcohol consumption | 0.569603 |
| prevalence estimates | 0.358628 |
| nonmarried women | 0.352675 |
| prevalence | 0.412304 |
| severe alcohol problems | 0.403445 |
| higher estimated prevalence | 0.384521 |
| excessive alcohol | 0.461895 |
| alcohol dependence | 0.384749 |
| different sociodemographic characteristics | 0.354027 |
| nonpregnant women | 0.606667 |
| alcohol outlet density | 0.397298 |
| Services Task Force | 0.381577 |
| Joseph E. Sniezek | 0.352337 |
| alcohol spectrum disorders | 0.452807 |
| motor vehicle crashes | 0.350955 |
| binge drinking frequency | 0.481986 |
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Get Smart About Antibiotics | Community Pharmacists |
Pharmacists play an integral role in promoting appropriate antibiotic use in the community through patient education and providing guidance.
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Centers for Disease Control and Prevention |
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Cessation of Trivalent Oral Poliovirus Vaccine andIntroduction of Inactivated Poliovirus Vaccine - Worldwide, 2016 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| polioviruses | 0.789349 |
| environmental surveillance | 0.568268 |
| oral poliovirus vaccine | 0.677012 |
| limited IPV supply | 0.547805 |
| polio outbreaks | 0.720453 |
| inactivated polio vaccine | 0.616884 |
| global mOPV2 stockpile | 0.545689 |
| type | 0.657084 |
| OPV-using countries | 0.556211 |
| IPV | 0.788775 |
| United Nations Children | 0.766068 |
| monovalent OPV type | 0.558252 |
| switch | 0.603615 |
| attenuated polioviruses | 0.571252 |
| Poliovirus Facility-Associated Risk | 0.622211 |
| immunization programs | 0.560663 |
| tOPV | 0.864424 |
| OPV | 0.72247 |
| routine immunization | 0.639264 |
| paralytic polio | 0.58376 |
| ambiguous vaccine-derived polioviruses | 0.578665 |
| intramuscular dose | 0.540047 |
| Global Polio Eradication | 0.666492 |
|
| supplemental immunization activities | 0.638751 |
| Global Action Plan | 0.625112 |
| routine immunization services | 0.549227 |
| fractional dose IPV | 0.557829 |
| Polio Eradication Initiative | 0.651144 |
| World Health Organization | 0.765259 |
| polio cases | 0.603631 |
| immunization service delivery | 0.55155 |
| countries | 0.902134 |
| polio | 0.758921 |
| Health Organization Immunization | 0.605468 |
| WPV type | 0.549164 |
| childhood immunization schedules | 0.5606 |
| vaccine-derived polioviruses | 0.677423 |
| 1Global Immunization Division | 0.545267 |
| immunization | 0.702013 |
| high risk | 0.544914 |
| cessation | 0.543569 |
| Sabin polioviruses | 0.598593 |
| Organization Immunization Repository | 0.599398 |
| cold chain | 0.598857 |
| immunization schedules | 0.657329 |
| routine immunization systems | 0.54525 |
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