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Centers for Disease Control and Prevention |
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World Water Day 2016 | CDC Features |
Each year on March 22, World Water Day attracts international attention to the conservation and development of freshwater resources. |
| United Nations | 0.654582 |
| safe water | 0.780557 |
| various international agencies | 0.633789 |
| important natural resources | 0.685925 |
| underdeveloped countries | 0.676297 |
| unused water | 0.609294 |
| small monthly fee | 0.621557 |
| energy production | 0.542868 |
| food service | 0.539293 |
| safe water supply | 0.769287 |
| global health | 0.556542 |
| World Health Organization | 0.683881 |
| safe drinking water | 0.716851 |
| Water Day theme | 0.609425 |
| sanitation increases | 0.611749 |
| U.S. government agencies | 0.634582 |
| safe reuse | 0.546831 |
| water | 0.915959 |
| waste collection | 0.534476 |
| twice weekly visits | 0.620137 |
| recent university graduates | 0.628203 |
| limited resources | 0.657744 |
| untreated wastewater | 0.548102 |
| Kenyan households | 0.53317 |
| World Water | 0.8926 |
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| Innovative public-private partnerships | 0.631215 |
| access | 0.578767 |
| United States | 0.533641 |
| Healthy Swimming websites | 0.636563 |
| Global WASH group | 0.636085 |
| individual well-being | 0.541244 |
| global access | 0.549328 |
| container-based toilets | 0.538504 |
| solar thermal treatment | 0.631448 |
| human waste | 0.614469 |
| food growth | 0.542937 |
| public health necessities | 0.647877 |
| drinking water | 0.792284 |
| CDC’s Drinking | 0.599206 |
| CDC staff | 0.592172 |
| solar thermal energy | 0.622237 |
| water-related public health | 0.662353 |
| global water supply | 0.717 |
| people | 0.594385 |
| storm water | 0.602269 |
| proper sanitation | 0.600403 |
| sanitation facilities | 0.720446 |
| low-income countries | 0.538601 |
| water-related issues | 0.545985 |
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| 4553 |
Centers for Disease Control and Prevention |
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Rapid Diagnostic Testing for Influenza: Information for Clinical Laboratory Directors |
Influenza rapid diagnostic tests RIDTs for clinical laboratory directors and laboratory workers - CDC |
| influenza | 0.991226 |
| positive predictive value | 0.504672 |
| influenza assays | 0.660046 |
| RIDT result | 0.501281 |
| patient population | 0.609377 |
| detectable influenza viruses | 0.738787 |
| false-negative test results | 0.525215 |
| disease prevalence | 0.521219 |
| approved clinical specimens | 0.542441 |
| nasal swabs | 0.530346 |
| Drug Administration | 0.505438 |
| Cobas Influenza A/B | 0.687468 |
| transcription polymerase chain | 0.579494 |
| clinical characteristics | 0.502554 |
| seasonal influenza viruses | 0.696807 |
| FDA-approved test systems | 0.501238 |
| respiratory tract specimens | 0.572744 |
| influenza virus infection | 0.766957 |
| rapid test kits | 0.509706 |
| false-positive test results | 0.527793 |
| influenza test results | 0.798891 |
| U.S. Food | 0.50547 |
| negative results | 0.504815 |
| molecular assay | 0.501681 |
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| Influenza Diagnostic Table | 0.759068 |
| important clinical decision | 0.58611 |
| polymerase chain reaction | 0.581366 |
| public health | 0.496759 |
| respiratory specimens | 0.619343 |
| negative predictive values | 0.58642 |
| influenza season | 0.762573 |
| convalescent serum specimens | 0.526331 |
| influenza activity | 0.80299 |
| influenza virus strains | 0.713136 |
| acute respiratory disease | 0.51271 |
| package insert | 0.550762 |
| influenza diagnostic assays | 0.699347 |
| acute respiratory illnesses | 0.510032 |
| influenza viruses | 0.799617 |
| influenza viral antigens | 0.761822 |
| influenza prevalence | 0.812276 |
| influenza virus | 0.773618 |
| rapid influenza | 0.774028 |
| Influenza A&B | 0.650005 |
| specific specimen types | 0.504653 |
| seasonal influenza serology | 0.696137 |
| influenza diagnostic tests | 0.821652 |
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Centers for Disease Control and Prevention |
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en |
Pyrethrum - NIOSH Pocket Guide to Chemical Hazards |
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| 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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| 6952 |
Centers for Disease Control and Prevention |
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Medscape CME Activity - CDC - Preventing Chronic Disease:Volume 9, 2012: 11_0204 |
Binge drinking (men, ?5 drinks, women, ?4 on an occasion) accounts for more than half of the 79,000 annual deaths due to excessive alcohol use in the United States. The frequency of binge drinking is associated with poor health-related quality of life (HRQOL), but the association between binge drinking intensity and HRQOL is unknown. Our objective was to examine this association. |
| frequent binge drinking | 0.396416 |
| binge drinking episode | 0.368267 |
| Dafna Kanny | 0.2477 |
| underage drinking | 0.25396 |
| study | 0.246895 |
| medical education | 0.271758 |
| AMA PRA Category | 0.257914 |
| mental health | 0.268207 |
| binge drinkers | 0.753004 |
| drinks | 0.329111 |
| Catherine A. Okoro | 0.285048 |
| relevant financial relationships | 0.283457 |
| poor HRQOL | 0.269491 |
| Risk Factor Surveillance | 0.375456 |
| AMA PRA | 0.266542 |
| binge drinking | 0.950904 |
| alcohol consumption | 0.279545 |
| highest-intensity binge drinkers | 0.399553 |
| median intensity | 0.249141 |
| female binge drinkers | 0.611679 |
| Disease Control | 0.312827 |
| lowest-intensity binge drinkers | 0.35717 |
|
| marital status | 0.275036 |
| excessive drinking | 0.254572 |
| Machell Town | 0.247627 |
| 50 states | 0.285388 |
| United States | 0.292688 |
| adult binge drinkers | 0.435922 |
| multivariate linear regression | 0.287388 |
| median largest number | 0.263764 |
| mean number | 0.358141 |
| Lina S. Balluz | 0.286588 |
| Xiao-Jun Wen | 0.24751 |
| binge drinking episodes | 0.372179 |
| noninstitutionalized adult binge | 0.321202 |
| binge drinking intensity | 0.646653 |
| binge threshold | 0.306107 |
| male binge drinkers | 0.563526 |
| health-related quality | 0.273227 |
| high school diploma | 0.249079 |
| HRQOL | 0.276459 |
| linear regression models | 0.287224 |
| largest number | 0.275054 |
| Behavioral Risk Factor | 0.377001 |
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| 7587 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | Public Health in the Age of Health Care Reform - CDC |
Discussions of health care reform have been a major part of American public discourse in nearly every decade since President Theodore Roosevelt’s 1912 platform for re-election included a proposal for universal health insurance. Historically and currently, the health care debate has emphasized the treatment of people once they become ill. This emphasis ignores the basic fact that maintaining the health of the population is essential to our economy, our national security, and our success as a nation. |
| public health issues | 0.634749 |
| public health interventions | 0.679056 |
| health care accounts | 0.641065 |
| mental health | 0.583622 |
| local health responsibilities | 0.611097 |
| health centers | 0.584864 |
| health outcomes | 0.600513 |
| health care reform | 0.768033 |
| national public health | 0.635917 |
| state health departments | 0.613348 |
| city health departments | 0.604764 |
| health objectives | 0.582513 |
| public’s health | 0.604908 |
| health care expenditures | 0.677469 |
| national health | 0.593132 |
| infant health | 0.582253 |
| health care costs | 0.683997 |
| Affordable Care Act | 0.633349 |
| health care products | 0.630046 |
| health determinants | 0.587967 |
| population | 0.625998 |
| local health agency | 0.612574 |
| physical health | 0.59543 |
| preventive health services | 0.629055 |
| Health Management Associates | 0.607244 |
|
| expensive health care | 0.672967 |
| Worcester State University | 0.59066 |
| health care insurance | 0.642355 |
| health promotion | 0.613762 |
| expensive medical care | 0.585657 |
| poor health | 0.585684 |
| local health department | 0.614056 |
| disease prevention | 0.592771 |
| health care practice | 0.649322 |
| health care debate | 0.658572 |
| high-priority health issues | 0.610182 |
| universal health insurance | 0.632023 |
| health departments | 0.630645 |
| local health | 0.629919 |
| local health departments | 0.615025 |
| public health | 0.980044 |
| health care | 0.942784 |
| public health concerns | 0.627669 |
| publicly funded health | 0.601799 |
| Health Care Administration | 0.633721 |
| medical care | 0.62101 |
| American health care | 0.647417 |
| American public discourse | 0.588916 |
| Public Health Service | 0.629382 |
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| 9688 |
Centers for Disease Control and Prevention |
Html |
es |
La historia de James - Historias de la vida real - Consejos de exfumadores |
La historia de James, un ex fumador que dejar de fumar con éxito es parte de la campaña Consejos de exfumadores de los CDC. |
| Archivo Apple Quicktime | 0.667437 |
| Archivo RealPlayer | 0.562489 |
| Archivo Zip Comprimido | 0.678623 |
| Archivo Microsoft PowerPoint | 0.706475 |
|
| Archivo Adobe PDF | 0.672077 |
| Archivo Microsoft Excel | 0.669715 |
| Archivo Microsoft | 0.986643 |
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Centers for Disease Control and Prevention |
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en |
Conference Call January 17, 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. |
| 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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| 11042 |
Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Correlates of Walking for Transportation and Use of Public Transportation Among Adults in St Louis, Missouri, 2012 - CDC |
Attributes of the built environment can influence active transportation, including use of public transportation. However, the relationship between perceptions of the built environment and use of public transportation deserves further attention. The objectives of this study were 1) to assess the relationship between personal characteristics and public transportation use with meeting national recommendations for moderate physical activity through walking for transportation and 2) to examine associations between personal and perceived environmental factors and frequency of public transportation use. |
| public transit systems | 0.351284 |
| Metro St. Louis | 0.350369 |
| residential density | 0.339762 |
| public transportation stop | 0.36184 |
| moderate physical activity | 0.565945 |
| land use mix | 0.339472 |
| regular public transportation | 0.364896 |
| public transit | 0.376686 |
| transportation tend | 0.339994 |
| active transportation | 0.344327 |
| Phys Act Health | 0.341286 |
| physical activity guidelines | 0.383813 |
| public transportation systems | 0.361378 |
| transportation behaviors | 0.36231 |
| environmental factors | 0.430107 |
| International Physical Activity | 0.380202 |
| public transportation | 0.990982 |
| St Louis | 0.362329 |
| personal characteristics | 0.383164 |
| regular physical activity | 0.358745 |
| States Physical Activity | 0.34353 |
| high crime | 0.358541 |
| frequent public transportation | 0.365455 |
| transit service characteristics | 0.343817 |
|
| study | 0.377996 |
| environment characteristics | 0.342257 |
| transportation professionals | 0.339889 |
| high traffic speed | 0.352339 |
| Previous transportation studies | 0.352294 |
| influence public transportation | 0.37103 |
| public transportation trip | 0.362308 |
| traffic speed | 0.414278 |
| physical activity recommendations | 0.380205 |
| daily physical activity | 0.359024 |
| slower walking speeds | 0.339038 |
| Physical Activity Questionnaire | 0.378901 |
| public health | 0.344686 |
| participants | 0.350707 |
| transportation-related physical activity | 0.344649 |
| St. Louis | 0.510837 |
| Environment Walkability Scale | 0.355614 |
| personal safety | 0.339269 |
| physical activity | 0.800801 |
| public transportation service | 0.362339 |
| multinomial logistic regression | 0.352357 |
| perceptions | 0.349954 |
| public health efforts | 0.341617 |
| previous transportation research | 0.352395 |
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Centers for Disease Control and Prevention |
Html |
en |
Canine Influenza (Dog Flu) Outbreak in Chicago Area |
Canine Influenza (Dog Flu) Outbreak in Chicago Area - CDC |
| date | 0.318067 |
| contagious respiratory disease | 0.499582 |
| reports | 0.321655 |
| CDC | 0.35213 |
| death | 0.319129 |
| Experts | 0.318082 |
| runny nose | 0.411344 |
| fever | 0.320034 |
| cough | 0.324293 |
| Tests | 0.319178 |
| signs | 0.357621 |
| dog-specific lineage | 0.390595 |
| pneumonia | 0.322988 |
| dogs | 0.445994 |
| case | 0.317905 |
| shelters | 0.317273 |
| dog flu | 0.998116 |
| severity | 0.323606 |
|
| viruses | 0.318653 |
| canine influenza | 0.649857 |
| testing | 0.319043 |
| Chicago area | 0.411416 |
| people | 0.339467 |
| way | 0.31802 |
| canine influenza virus | 0.53941 |
| dog flu infections | 0.534329 |
| vaccine | 0.322098 |
| horse influenza virus | 0.53895 |
| veterinarian | 0.383015 |
| greyhounds | 0.317816 |
| influenza virus | 0.594392 |
| dog flu infection | 0.559382 |
| information | 0.317681 |
| severe illness | 0.408583 |
| human infection | 0.39691 |
| humans | 0.320909 |
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| 15410 |
Centers for Disease Control and Prevention |
Html |
en |
Factors Associated With Adherence to Blood PressureMeasurement Recommendations at Pediatric Primary Care Visits,Minnesota and Colorado, 2007&ndash2010 |
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. |
| Task Force | 0.524139 |
| family practice clinics | 0.540167 |
| pressure measurement guidelines | 0.497899 |
| nonwell-child visits | 0.705723 |
| integrated health care | 0.527503 |
| health care delivery | 0.526859 |
| Bright Futures guidelines | 0.513964 |
| previous well-child visits | 0.518545 |
| children | 0.572752 |
| nonwell-child primary care | 0.538505 |
| care delivery systems | 0.514378 |
| BP values | 0.53803 |
| BP percentile | 0.542732 |
| health supervision visits | 0.51969 |
| blood pressure | 0.781433 |
| routine annual BP | 0.550708 |
| BP measurement rates | 0.568274 |
| body mass index | 0.542651 |
| annual BP screening | 0.569466 |
| blood pressure screening | 0.515464 |
| annual BP measurements | 0.56487 |
| BP measurement | 0.957618 |
| providers measure BP | 0.549294 |
| annual blood pressure | 0.512186 |
|
| annual BP measurement | 0.663104 |
| primary care visit | 0.504447 |
| annual BP screenings | 0.554205 |
| BP measurement data | 0.596057 |
| height-specific BP criteria | 0.547699 |
| cardiovascular health | 0.499048 |
| primary care visits | 0.892911 |
| BP measurement frequency | 0.569976 |
| blood pressure measurement | 0.562303 |
| patient age | 0.500791 |
| BP measures | 0.529036 |
| BP measurements | 0.635186 |
| family practice | 0.576089 |
| annual BP | 0.675981 |
| additional BP measurements | 0.5534 |
| electronic health records | 0.509149 |
| BP data | 0.570955 |
| BP measurement recommendations | 0.58405 |
| Bright Futures | 0.521598 |
| health care visits | 0.604904 |
| BP measurement practices | 0.567006 |
| high blood pressure | 0.558789 |
| well-child visits | 0.679605 |
| expert panel | 0.495205 |
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