| 542 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | An Effective Community"Academic Partnership to Extend the Reach of Screenings for Fall Risk - CDC |
Older adults should be screened for fall risk annually. Community providers (people without formal medical training who work with older adults in senior centers or aging services) may be a viable group to expand the reach of screenings. |
| North Carolina | 0.550946 |
| screening algorithm administration | 0.414417 |
| risk screening event | 0.427067 |
| fall prevention | 0.472759 |
| community sites | 0.417029 |
| Western Carolina University | 0.383592 |
| risk screening algorithm | 0.505921 |
| fall risk screenings | 0.454147 |
| health care providers | 0.480409 |
| evidence-based fall risk | 0.447837 |
| screening events | 0.432632 |
| fall prevention coalition | 0.462952 |
| host screening events | 0.424008 |
| community providers | 0.988806 |
| standardized screening questions | 0.40623 |
| fall risk | 0.885566 |
| training workshops | 0.457426 |
| Western North Carolina | 0.415197 |
| community screenings | 0.39216 |
| high fall risk | 0.384378 |
| performance-based screening skills | 0.412615 |
| regional fall prevention | 0.390483 |
| Carolina Falls Prevention | 0.390008 |
| Falls Prevention Awareness | 0.387145 |
| older adult population | 0.388264 |
|
| fall prevention services | 0.386517 |
| community service providers | 0.428598 |
| standardized screening process | 0.4125 |
| low fall risk | 0.384475 |
| fall risk category | 0.388092 |
| National Falls Prevention | 0.387148 |
| North Carolina Fall | 0.417702 |
| Falls Prevention Coalition | 0.393014 |
| Carolina Fall Prevention | 0.417698 |
| screening confidence | 0.392113 |
| Evidence-based screening tools | 0.413352 |
| health care | 0.515036 |
| risk screening events | 0.426835 |
| effective fall risk | 0.397324 |
| North Carolina Falls | 0.390011 |
| older adult | 0.404123 |
| future fall risk | 0.39019 |
| balance screening | 0.386978 |
| fall risk screen | 0.39601 |
| additional community providers | 0.398931 |
| older adults | 0.783282 |
| fall risk screening | 0.761188 |
| annual fall risk | 0.399286 |
| community-based fall risk | 0.396833 |
|
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| 5464 |
Centers for Disease Control and Prevention |
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Acetic anhydride - 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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| 5570 |
Centers for Disease Control and Prevention |
Html |
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1,1,2,2-Tetrachloroethane - 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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| 11047 |
Centers for Disease Control and Prevention |
Html |
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Notes from the Field: Botulism From Drinking Prison-Made Illicit Alcohol — Arizona, 2012 |
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. |
| Human Services | 0.656727 |
| U.S. Department | 0.655019 |
| MMWR HTML versions | 0.65186 |
| Seema Yasmin | 0.663481 |
| electronic PDF version | 0.651863 |
| heptavalent botulinum antitoxin | 0.710439 |
| prison authorities | 0.694087 |
| botulinum toxin | 0.733606 |
| bacterium Clostridium botulinum | 0.73748 |
| Vista Medical Center | 0.646182 |
| prison staff education | 0.762612 |
| prison A inmate | 0.736391 |
| different inmates | 0.651659 |
| prison store | 0.695339 |
| cranial nerve palsies | 0.671718 |
| maximum security prison | 0.944039 |
| previous outbreak | 0.641713 |
| original paper copy | 0.6456 |
| botulism | 0.934795 |
| Pinal County Dept | 0.659207 |
| Jamae F. Morris | 0.643687 |
| outbreak source | 0.729094 |
| percutaneous endoscopic gastrostomies | 0.664484 |
| Clarisse A. Tsang | 0.659749 |
|
| Health Services | 0.690405 |
| Tara C. Anderson | 0.647132 |
| botulism outbreaks | 0.825646 |
| original MMWR paper | 0.658238 |
| U.S. Government Printing | 0.652567 |
| type A. Pruno | 0.699633 |
| pruno-related botulism | 0.770414 |
| Laura E. Adams | 0.638892 |
| male inmates | 0.752536 |
| Utah maximum security | 0.656396 |
| commonly used ingredients | 0.6559 |
| prison kitchen | 0.696475 |
| Agam K. Rao | 0.658716 |
| drinking pruno | 0.768381 |
| future outbreaks | 0.697287 |
| Clostridium botulinum bacteria | 0.717592 |
| Pinal County Health | 0.694039 |
| Janet K. Dykes | 0.649099 |
| pruno production | 0.690468 |
| recent outbreak | 0.640236 |
| respiratory muscle paralysis | 0.654119 |
| Rajal K. Mody | 0.662453 |
| positive clinical specimen | 0.671215 |
| California prison | 0.773883 |
|
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| 12792 |
Centers for Disease Control and Prevention |
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When Do You Step In and Assist? Personal ProtectiveEquipment (PPE) | Ebola Hemorrhagic Fever | CDC |
null |
| hand signals | 0.558795 |
| certain steps | 0.615541 |
| healthcare provider | 0.966209 |
| doffing process | 0.805886 |
| unnecessary errors | 0.605804 |
| red flag words | 0.992464 |
|
| physical contact | 0.63181 |
| doffing assistant | 0.867653 |
| equipment | 0.263469 |
| assistance | 0.509497 |
| proper protocols | 0.589828 |
|
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Centers for Disease Control and Prevention |
Html |
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Transcript for CDC press briefing: STRIVE trial begins in Sierra Leone |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| Sierra Leone staff | 0.535168 |
| CDC | 0.499181 |
| interim analysis | 0.489792 |
| Ebola treatment | 0.478598 |
| MIKE STOBBE | 0.468357 |
| Ebola disease | 0.482266 |
| Ebola vaccine | 0.512274 |
| percent efficacious vaccine | 0.482349 |
| Dr. Anne Schuchat | 0.479449 |
| kathy harben | 0.467593 |
| press star | 0.528097 |
| vaccine efficacy studies | 0.500127 |
| clinical trial | 0.478937 |
| CDC foundation donations | 0.469914 |
| randomized individual trial | 0.474671 |
| CDC emergency appropriations | 0.472807 |
| public health facilities | 0.471532 |
| actual efficacy answer | 0.471142 |
| cold chain | 0.467094 |
| Ebola | 0.600104 |
| RBSV vaccine | 0.466637 |
| anne schuchat | 0.707898 |
| Ebola virus disease | 0.493315 |
| control study types | 0.469548 |
| study | 0.556446 |
|
| MENU
CDC A-Z | 0.482598 |
| individually randomized trial | 0.472395 |
| Sierra Leone | 0.946753 |
| Allied Health Sciences | 0.472276 |
| early small studies | 0.46877 |
| line workers | 0.46713 |
| study areas | 0.470045 |
| health care workers | 0.581586 |
| Dr. Schuchat | 0.469091 |
| early key support | 0.46537 |
| question | 0.556664 |
| safety monitoring board | 0.519104 |
| people | 0.493433 |
| line health care | 0.466963 |
| health facility leaders | 0.47081 |
| vaccine | 0.578459 |
| Sierra Leone pharmacy | 0.526606 |
| health facility workers | 0.480274 |
| Sierra Leone Ministry | 0.54035 |
| CDC foundation | 0.475295 |
| Ebola vaccines | 0.483558 |
| Sierra Leone trial | 0.645343 |
| line health workers | 0.518754 |
| time | 0.499246 |
|
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2009-10 State, Regional, and National Influenza Vaccination Report II |
FluVaxView 2009-10 State, Regional, and National Vaccination Report II - CDC |
| Microsoft PowerPoint file | 0.346591 |
| Early Vaccination Coverage | 0.457406 |
| influenza vaccination coverage | 0.498149 |
| Population Early Season | 0.493784 |
| Microsoft Word file | 0.347432 |
| Vaccination Trends | 0.441 |
| Women Vaccination Coverage | 0.52868 |
| Single Season Report | 0.379374 |
| Season Vaccination Coverage | 0.786328 |
| vaccination coverage | 0.965024 |
| Influenza Season Vaccination | 0.528269 |
| General Population Coverage | 0.475544 |
| hhs region | 0.349546 |
| Key Findings | 0.40274 |
| General Population | 0.791489 |
| 2011-12 Report | 0.361344 |
| National Immunization Survey-Flu | 0.347983 |
| Microsoft Excel file | 0.346305 |
| Live Birth Data | 0.34618 |
| Tweet Share Compartir | 0.350603 |
| Population Vaccination Coverage | 0.662003 |
| page options Skip | 0.355241 |
| different file formats | 0.34748 |
| Pregnant Women Vaccination | 0.526533 |
| Apple Quicktime file | 0.346665 |
|
| Season General Population | 0.580203 |
| General Population Vaccination | 0.665396 |
| (Flu) | 0.35602 |
| Behavioral Risk Factor | 0.346546 |
| Adobe PDF file | 0.34627 |
| 2012-13 Report | 0.361431 |
| Early Season Vaccination | 0.615584 |
| 2016-17 Trend Report | 0.400813 |
| Search Form Controls | 0.399308 |
| Health Care Personnel | 0.598433 |
| 2016-17 Key Findings | 0.35096 |
| 2016-17 Report | 0.362522 |
| NIS-Flu Influenza Data | 0.457541 |
| Local Areas | 0.388433 |
| General Population Place | 0.47699 |
| General Population NHIS | 0.475003 |
| level influenza vaccination | 0.461112 |
| Search Controls | 0.353702 |
| Mid-Season Flu Vaccination | 0.487798 |
| 2013-14 Report | 0.382475 |
| Vaccination Coverage Dashboard | 0.55595 |
| Download Report Data | 0.367552 |
| report | 0.443332 |
| Flu Vaccination Coverage | 0.562035 |
|
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Influenza Vaccination Coverage among Children Aged 6-23 Months - United States, 2008-09 Influenza Season |
Number of children between the ages of 6 months through 23 months that were vaccinated against flu during 2008-2009. |
| influenza | 0.973354 |
| Immunization Practices recommendation | 0.368451 |
| influenza vaccination-coverage measures | 0.483591 |
| doses | 0.532404 |
| vaccine naïve children | 0.527911 |
| children’s vaccination | 0.416564 |
| influenza vaccination coverage | 0.694449 |
| Los Angeles County | 0.369549 |
| emergency department visits | 0.373456 |
| Later-season vaccination | 0.390819 |
| influenza dose | 0.495247 |
| 2010-11 seasonal influenza | 0.526727 |
| seasonal influenza vaccination | 0.580422 |
| vaccination algorithm | 0.395197 |
| Immunization Practices | 0.379976 |
| Advisory Committee | 0.379496 |
| children | 0.846065 |
| percentage | 0.383533 |
| seasonal influenza vaccine. | 0.471142 |
| seasonal influenza vaccine | 0.526978 |
| National Immunization Survey | 0.433267 |
| influenza vaccine | 0.968173 |
| single annual doses | 0.401434 |
| influenza season | 0.848059 |
|
| provider-reported immunization records | 0.370507 |
| 2007-08 influenza season | 0.485523 |
| influenza vaccinations | 0.474802 |
| seasonal influenza vaccinations | 0.470229 |
| provider-reported influenza vaccination | 0.576957 |
| vaccination coverage data | 0.42457 |
| vaccination efforts | 0.394258 |
| 2009 NIS interviews | 0.374845 |
| influenza vaccination | 0.913736 |
| previous influenza season | 0.598117 |
| routine vaccination | 0.399106 |
| Provider-reported vaccination records | 0.41736 |
| dose | 0.580744 |
| local areas | 0.416833 |
| vaccination providers | 0.410488 |
| vaccination period | 0.392465 |
| 2009 monovalent vaccine should receive | 0.426551 |
| vaccination data | 0.393493 |
| monovalent vaccine history | 0.388401 |
| NIS | 0.38195 |
| El Paso County | 0.36818 |
| time | 0.367642 |
| interview | 0.385185 |
|
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Centers for Disease Control and Prevention |
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Notes from the Field: Acute Mercury Poisoning After HomeGold and Silver Smelting - Iowa, 2014 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). Often called 'the Voice of CDC,' the MMWR series is the agency's primary vehicle for scientific publication of timely, reliable, authoritative, accurate, objective, and useful public health information and recommendations. MMWR readership predominately consists of physicians, nurses, public health practitioners, epidemiologists and other scientists, researchers, educators, and laboratorians. |
| heavy metal testing | 0.573583 |
| 1Epidemic Intelligence Service | 0.550324 |
| acute care facility | 0.59871 |
| blood mercury level | 0.916876 |
| mask filter cartridge | 0.564159 |
| negative pressure fan | 0.552341 |
| mercury exposure depend | 0.825866 |
| military gas mask | 0.577213 |
| mercury | 0.983796 |
| poison control centers | 0.550361 |
| testing commercial laboratory | 0.571438 |
| chelation therapy | 0.576699 |
| Adverse health effects | 0.576671 |
| smelting chemicals | 0.56878 |
| precious metals recovery | 0.554508 |
| elevated blood mercury | 0.761114 |
| cable television | 0.57195 |
| precious metals | 0.594148 |
| elemental mercury exposure | 0.954831 |
| regional poison control | 0.548603 |
| Samir Koirala | 0.601954 |
| acute respiratory failure | 0.61291 |
| exposure information | 0.576135 |
| long-term–care facility | 0.572987 |
|
| heavy metal exposure | 0.637292 |
| intensive care unit | 0.568667 |
| Health care providers | 0.581478 |
| Internet retailers | 0.5827 |
| cable television documentaries | 0.545689 |
| residual mercury contamination | 0.750406 |
| acute respiratory distress | 0.615428 |
| acute elemental mercury | 0.76947 |
| Home Gold | 0.529885 |
| Silver Smelting | 0.612159 |
| local emergency department | 0.608398 |
| Iowa Department | 0.556955 |
| public health officials | 0.824061 |
| smelting activities | 0.58328 |
| inorganic mercury compounds | 0.735901 |
| acute mercury exposure | 0.844097 |
| Acute Mercury Poisoning | 0.844566 |
| portable mercury vapor | 0.752042 |
| state public health | 0.586825 |
| gold mining processes | 0.56785 |
| air mercury level | 0.75698 |
| liquid mercury | 0.66957 |
| different smelting techniques | 0.694365 |
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Diabetes and Your Kidneys |
null |
| red blood cells | 0.489333 |
| chronic kidney disease | 0.928618 |
| wastes | 0.232078 |
| thought | 0.229178 |
| production | 0.228277 |
| early stages | 0.349488 |
| Spotlights | 0.23381 |
| adults | 0.22794 |
| Kidney Disease Connection | 0.530182 |
| Twitter | 0.233086 |
| body | 0.261818 |
| type | 0.247732 |
| MB | 0.270639 |
| nephrons | 0.256153 |
| causes | 0.227478 |
| long time | 0.3465 |
| Features | 0.226867 |
| CDC Diabetes | 0.439618 |
| blood chemicals | 0.356922 |
| CKD | 0.418487 |
|
| Facebook | 0.233633 |
| blood pressure | 0.484934 |
| test results | 0.352985 |
| overall health | 0.344654 |
| hard-working kidneys | 0.415014 |
| people | 0.232111 |
| excess fluid | 0.366149 |
| doctor | 0.227559 |
| National Chronic Kidney | 0.543452 |
| Disease Fact Sheet | 0.451598 |
| tiny filters | 0.358288 |
| condition | 0.227414 |
| high blood pressure | 0.477877 |
| bones | 0.231416 |
| toxins | 0.235629 |
| millions | 0.232633 |
| CDCDiabetes | 0.226499 |
| job | 0.265888 |
| diabetes | 0.476763 |
| Diabetes Translation | 0.424152 |
|
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