| 6801 |
Centers for Disease Control and Prevention |
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West Nile Virus Disease and Other Arboviral Diseases --- United States, 2010 |
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. |
| WNV neuroinvasive disease | 0.464048 |
| fatal cases | 0.216066 |
| equine encephalitis virus | 0.210489 |
| United States | 0.419478 |
| arboviral disease cases | 0.357169 |
| human cases | 0.311129 |
| neuroinvasive disease | 0.943369 |
| human disease cases | 0.270317 |
| commonly reported CALV | 0.250006 |
| La Crosse virus | 0.331841 |
| neuroinvasive arboviral disease | 0.44591 |
| neuroinvasive disease incidence | 0.27932 |
| public health authorities | 0.228214 |
| EEEV disease cases | 0.255853 |
| nationally notifiable arboviruses | 0.213788 |
| CALV neuroinvasive disease | 0.233881 |
| neuroinvasive disease cases | 0.430166 |
| arboviral surveillance programs | 0.234132 |
| nonneuroinvasive disease cases | 0.305431 |
| commonly reported cause | 0.272455 |
|
| cases | 0.767507 |
| Table | 0.203147 |
| arboviral disease | 0.594401 |
| common cause | 0.237635 |
| Nicole P. Lindsey | 0.235862 |
| median age | 0.375019 |
| WNV disease | 0.256666 |
| severe arboviral disease | 0.326332 |
| SLEV disease cases | 0.253378 |
| highest reported rates | 0.2521 |
| endemic arboviral diseases | 0.259868 |
| neuroinvasive cases | 0.205674 |
| acute flaccid paralysis | 0.446135 |
| eastern equine encephalitis | 0.277892 |
| POWV disease cases | 0.250717 |
| nonneuroinvasive disease | 0.316863 |
| disease cases | 0.517662 |
| illness onset | 0.404847 |
| human arboviral infections | 0.263704 |
| neuroinvasive arboviral diseases | 0.252752 |
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| 8782 |
Centers for Disease Control and Prevention |
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Microbes in Pool Filter Backwash as Evidence of the Need forImproved Swimmer Hygiene - Metro-Atlanta, Georgia, 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. |
| free chlorine | 0.50787 |
| saltwater-generated free chlorine | 0.308956 |
| recreational water illness | 0.218119 |
| acute gastrointestinal illness | 0.286469 |
| pools | 0.368552 |
| local environmental health | 0.411306 |
| metro-Atlanta public pools | 0.339254 |
| aquatics staff | 0.255789 |
| E. coli | 0.907575 |
| P. aeruginosa | 0.666101 |
| pool filter backwash | 0.266099 |
| P. aeruginosa detection | 0.207557 |
| recreational water | 0.491342 |
| Cryptosporidium spp. | 0.292077 |
|
| public health standards | 0.481954 |
| ultraviolet light disinfection | 0.204283 |
| pre-swim shower | 0.220069 |
| filter backwash samples | 0.806742 |
| swimmers | 0.26621 |
| local public health | 0.21061 |
| maintain disinfectant level | 0.20225 |
| RWI outbreaks | 0.25685 |
| disinfectant level | 0.460706 |
| traditional chlorine products | 0.331726 |
| recreational water venues | 0.234315 |
| environmental health specialists | 0.507855 |
| pathogenic toxin–producing E. | 0.208757 |
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| 8845 |
Centers for Disease Control and Prevention |
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en |
Progress Toward Measles Elimination - Western PacificRegion, 2009-2012 |
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. |
| supplementary immunization activities | 0.497503 |
| Papua New Guinea | 0.850818 |
| endemic measles virus | 0.607425 |
| areas | 0.504726 |
| Western Pacific Region | 0.618671 |
| M9 | 0.518319 |
| measles elimination | 0.702733 |
| sustained measles virus | 0.607174 |
| Pacific Islands countries | 0.487768 |
| Solomon Islands | 0.552009 |
| measles incidence | 0.595487 |
| MCV1 coverage | 0.514775 |
| High-quality case-based measles | 0.592842 |
| measles elimination efforts | 0.599054 |
| ID | 0.626066 |
| clinically confirmed measles | 0.598636 |
| Global Immunization Div | 0.491965 |
| measles virus | 0.728482 |
| routine immunization services | 0.611477 |
| World Health Organization | 0.600721 |
| measles virus genotypes | 0.656731 |
| M12 | 0.91534 |
| M15 | 0.582828 |
| WPR Guidelines | 0.487604 |
|
| measles elimination strategies | 0.635734 |
| M18 | 0.487908 |
| routine 2-dose MCV | 0.499559 |
| MCV2 coverage | 0.501693 |
| predominant measles virus | 0.611307 |
| NR | 0.539371 |
| Global Measles | 0.609367 |
| measles virus importations | 0.611327 |
| conduct periodic SIAs | 0.489926 |
| measles cases | 0.718545 |
| measles SIAs | 0.599983 |
| rubella vaccine | 0.493773 |
| second-level administrative units | 0.5535 |
| measles surveillance performance | 0.596011 |
| Rubella Laboratory Network** | 0.501177 |
| measles virus transmission | 0.700571 |
| routine immunization programs | 0.492757 |
| ongoing measles virus | 0.619424 |
| case-based measles surveillance | 0.68423 |
| WPR Regional Committee | 0.527123 |
| James L. Goodson | 0.542201 |
| WPR countries | 0.56096 |
| Y1 | 0.504676 |
| Lao People | 0.512365 |
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| 9112 |
Centers for Disease Control and Prevention |
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State-Specific Healthy Life Expectancy at Age 65 Years -United States, 2007-2009 |
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. |
| Healthy life expectancy | 0.539212 |
| Risk Factor Surveillance | 0.52694 |
| blacks | 0.504998 |
| HLE estimates | 0.732709 |
| national HLE estimates | 0.527228 |
| health disparities | 0.525694 |
| mid-year population estimates | 0.527232 |
| greater HLE | 0.541216 |
| age interval | 0.577992 |
| good quality health | 0.492224 |
| National Center | 0.515099 |
| age-specific death rates | 0.522581 |
| mortality data | 0.507569 |
| BRFSS median response | 0.530048 |
| public health officials | 0.533828 |
| self-reported health status | 0.624344 |
| Analysis Program Office | 0.519581 |
| HLE measures | 0.492698 |
| health status | 0.872701 |
| life expectancy | 0.607456 |
| relatively simple measure | 0.514835 |
| persons | 0.532282 |
| Health Statistics | 0.513083 |
| U.S. Census population | 0.530049 |
| sufficient data | 0.509293 |
|
| state level | 0.535202 |
| health status data | 0.611072 |
| Behavioral Risk Factor | 0.528923 |
| HLE | 0.906321 |
| United States | 0.670519 |
| 5-year age intervals | 0.491915 |
| highest HLE | 0.493949 |
| population health measure | 0.559571 |
| states | 0.724198 |
| U.S. Census Bureau | 0.52485 |
| Vital Statistics Systems | 0.527326 |
| state-specific hle estimates | 0.662494 |
| total number | 0.535211 |
| 50 states | 0.493761 |
| southern states | 0.537353 |
| cause mortality data | 0.493555 |
| good health | 0.493614 |
| current mortality rates | 0.585042 |
| health status questions | 0.498488 |
| Census population estimates | 0.501595 |
| New Mexico | 0.587474 |
| U.S. Census | 0.541301 |
| health service needs | 0.507548 |
| self-assessed health status | 0.49882 |
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| 9403 |
Centers for Disease Control and Prevention |
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Mortalidad de indígenas urbanos de Canadá, 1991-2001. |
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| Naciones Originarias | 0.950724 |
| National Aboriginal Health | 0.384625 |
| Statistics Canada record | 0.336573 |
| Health Rep | 0.450829 |
| Sin embargo | 0.447212 |
| urban aboriginal | 0.410662 |
| Preventing Chronic Disease | 0.343978 |
| Health Officer Annual | 0.333046 |
| aboriginal populations | 0.371006 |
| Aboriginal Health Organization | 0.386635 |
| health research projects | 0.334525 |
| health research discussion | 0.333508 |
| Wilkins R | 0.391833 |
| Young TK | 0.383809 |
| Health Organization | 0.412594 |
| World Health Organization | 0.366055 |
| Health Canada | 0.349893 |
| indÃgenas inuit | 0.413728 |
| zonas urbanas Ã?reas | 0.359753 |
| Services Canada | 0.342994 |
| First Nations | 0.42742 |
| Statistics Canada | 0.728191 |
| Columbia Provincial Health | 0.332891 |
| indÃgenas naciones originarias | 0.415008 |
| Aboriginal health research | 0.397876 |
|
| Health Council | 0.350083 |
| Division Statistics Canada | 0.334066 |
| Peters EJ | 0.333076 |
| indÃgenas residentes | 0.838789 |
| Public Health | 0.447192 |
| Not strangers | 0.339388 |
| Aboriginal peoples survey | 0.333668 |
| Health Stat Q | 0.332832 |
| Tjepkema M | 0.364511 |
| health regions with | 0.333135 |
| Policy Research Initiative | 0.367684 |
| Statistics Canada Coverage | 0.338594 |
| aparato circulatorio | 0.582267 |
| Columbia Británica | 0.333496 |
| aboriginal health | 0.602704 |
| elevada mortalidad | 0.338705 |
| Newhouse D | 0.357344 |
| aboriginal canada | 0.343136 |
| indÃgena única —y | 0.343787 |
| chronic diseases | 0.368022 |
| Asuntos IndÃgenas | 0.428891 |
| Related Health Problems | 0.332684 |
| Provincial Health Officer | 0.364843 |
| Health Information | 0.355368 |
|
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| 10686 |
Centers for Disease Control and Prevention |
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Short and Extended Messages'Suicide Bombs' Communicating in the First Hours |
The CERC training program educates people on the principles and application of crisis and emergency risk communication when responding to a public health emergency. |
| 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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| 11563 |
Centers for Disease Control and Prevention |
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Prevent Heat Illness with Acclimatization | CDC Features |
Make sure workers drink enough liquids, and give them rest breaks. You should also acclimatize your workers by gradually increasing the time they work in hot environments. |
| possible heat-related illnesses | 0.605423 |
| hot environment | 0.510793 |
| heat intolerance | 0.488782 |
| appropriate acclimatization | 0.480455 |
| heat-related illness prevention | 0.690926 |
| self-monitoring options | 0.469018 |
| emergency response procedures | 0.510379 |
| moderate work activities | 0.514898 |
| New workers | 0.477743 |
| heat stress | 0.717223 |
| heat-related illnesses | 0.903428 |
| Work practice recommendations | 0.52929 |
| weather service forecasts | 0.51119 |
| illness prevention program | 0.61724 |
| standard operating procedures | 0.517064 |
| Increase air velocity | 0.512595 |
| appropriate rest breaks | 0.512253 |
| excess heat | 0.479854 |
| heat-absorbing shielding | 0.465008 |
| perÂsonal protective equipment | 0.507611 |
| Train workers | 0.48101 |
| usual duration | 0.503881 |
| rest breaks | 0.513257 |
| work practice controls | 0.540392 |
| lighter work | 0.470658 |
|
| hot environments | 0.576916 |
| hot work | 0.486164 |
| increase recovery time | 0.513573 |
| work area | 0.47132 |
| adequate fluid intake | 0.503336 |
| heat discomfort | 0.482127 |
| unacclimatized workers | 0.476841 |
| Recommended Standard | 0.520974 |
| occupational exposure | 0.57398 |
| fluid intake | 0.514167 |
| hot weather advisories | 0.514754 |
| indoor workers | 0.494313 |
| workers | 0.602839 |
| heat load | 0.483984 |
| heat stress training | 0.542033 |
| heat alert program | 0.539652 |
| occupational heat stress | 0.540923 |
| heat wave | 0.485627 |
| frequent rest periods | 0.504604 |
| workplace heat stress | 0.553296 |
| excessive heat | 0.480758 |
| in-depth heat-related illness | 0.601534 |
| emergency medical serÂvices | 0.508678 |
| Download Heat Safety | 0.532918 |
|
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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Training and TechnicalAssistance for Compliance With Beverage and Physical ActivityComponents of New York City's Regulations for Early Child CareCenters - CDC |
In 2006, the New York City Department of Health and Mental Hygiene (DOHMH) passed regulations for child care centers that established standards for beverages provided to children and set a minimum amount of time for daily physical activity. DOHMH offered several types of training and technical assistance to support compliance with the regulations. This article analyzes the association between training and technical assistance provided and compliance with the regulations in a sample of 174 group child care centers. |
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| 15666 |
Centers for Disease Control and Prevention |
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Update on Vaccine-Derived Polioviruses - Worldwide, January2015-May 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| paralysis onset | 0.422571 |
| trivalent OPV | 0.449336 |
| corresponding OPV strain | 0.460877 |
| oral poliovirus vaccine | 0.602124 |
| recent positive sample | 0.45368 |
| routine vaccination coverage | 0.500588 |
| immunodeficient source patient | 0.432607 |
| VP1 region | 0.471052 |
| AFP | 0.54664 |
| polio virus type | 0.439867 |
| Polio Laboratory Network | 0.542724 |
| wild poliovirus type | 0.508608 |
| VP1 substitutions | 0.457027 |
| AFP cases | 0.545845 |
| divergent vaccine-derived polioviruses | 0.450514 |
| cVDPV outbreaks | 0.608337 |
| OPV | 0.541329 |
| reporting period | 0.490212 |
| wild polioviruses | 0.430514 |
| VP1 nucleotide sequences | 0.509788 |
| VP1 nucleotide differences | 0.484379 |
| low routine vaccination | 0.448598 |
| genetic divergence | 0.432809 |
|
| Global Polio Eradication | 0.622126 |
| sensitive AFP surveillance | 0.432008 |
| Polio Eradication Initiative | 0.617511 |
| World Health Organization | 0.647275 |
| environmental samples | 0.47111 |
| new cVDPV outbreaks | 0.516254 |
| highly divergent isolates | 0.430345 |
| new iVDPV infections | 0.446226 |
| VP1 divergence | 0.922704 |
| low OPV coverage | 0.423272 |
| AFP case | 0.535132 |
| new cVDPV2 emergence | 0.463101 |
| acute flaccid paralysis | 0.449876 |
| vaccine-derived polioviruses | 0.516307 |
| AFP patient | 0.428274 |
| VP1 sequences | 0.468684 |
| bivalent OPV | 0.449303 |
| newly identified persons | 0.481178 |
| Global Polio Laboratory | 0.544661 |
| Regional Office | 0.465404 |
| parental OPV strains | 0.484955 |
| AFP clinical samples | 0.445701 |
| polio eradication efforts | 0.432592 |
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Centers for Disease Control and Prevention |
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Precision Medicine: What Does it Mean for Your Health? | CDC Eat |
Precision medicine, sometimes called personalized medicine, is an approach for protecting health and treating disease that takes into account a person’s genes, behaviors, and environment. Interventions are tailored to individuals or groups, rather than using a one-size-fits-all approach in which everyone receives the same care. But what does this mean and how can precision medicine protect your health? |
| certain diseases | 0.245925 |
| certain newborn screening | 0.423431 |
| disease outbreaks | 0.205732 |
| Tracking Infectious Diseases | 0.316932 |
| Tailoring Prevention | 0.206255 |
| better track disease | 0.359397 |
| heart disease | 0.363649 |
| cystic fibrosis | 0.325495 |
| familial hypercholesterolemia | 0.206601 |
| certain medications | 0.248502 |
| colon) cancer. | 0.344532 |
| one-size-fits-all approach | 0.235897 |
| patient sick | 0.203761 |
|
| precision medicine approach | 0.63747 |
| unique disease risks | 0.406021 |
| Certain treatments | 0.220002 |
| disease | 0.59895 |
| gene variants | 0.312321 |
| certain genetic changes | 0.367279 |
| public health officials | 0.336674 |
| people | 0.250652 |
| certain medical conditions | 0.404027 |
| BRCA2 mutation | 0.342255 |
| family health history | 0.823866 |
| family history | 0.200364 |
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