| 716 |
Centers for Disease Control and Prevention |
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en |
Tularemia - United States, 2001-2010 |
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. |
| Alternate Text | 0.528327 |
| Human Services | 0.550882 |
| public health practitioners | 0.536771 |
| human cases | 0.531914 |
| bacterial zoonosis | 0.520256 |
| average annual incidence | 0.688982 |
| direct contact | 0.522072 |
| South Central states | 0.638978 |
| Median age | 0.52145 |
| central U.S. states | 0.545026 |
| winter cases | 0.527546 |
| patients | 0.520524 |
| Tularemia outbreak | 0.616547 |
| regional lymphadenopathy | 0.567704 |
| glandular tularemia | 0.65053 |
| highest annual incidence | 0.634376 |
| individual cases | 0.546931 |
| high incidence rates | 0.534836 |
| annual incidence | 0.76424 |
| F. tularensis antigen | 0.609899 |
| preceding decade | 0.582332 |
| additional patient information | 0.601383 |
| laboratory confirmation | 0.555119 |
| median number | 0.524714 |
| western United States | 0.556717 |
|
| public health management | 0.517422 |
| United States | 0.730467 |
| urban-rural classification scheme | 0.604117 |
| age group | 0.553223 |
| CDC National Center | 0.524643 |
| causes oropharyngeal disease | 0.520341 |
| South Atlantic states | 0.55706 |
| National Notifiable Diseases | 0.616891 |
| ulceroglandular tularemia | 0.651015 |
| percutaneous inoculation | 0.519142 |
| health departments | 0.586809 |
| tularensis subspecies tularensis | 0.541401 |
| public health | 0.621807 |
| East South Central | 0.612217 |
| tularemia surveillance | 0.616961 |
| Notifiable Diseases Surveillance | 0.6131 |
| South Dakota | 0.691485 |
| Pacific states | 0.59119 |
| select agent | 0.517158 |
| local public health | 0.518069 |
| U.S. states | 0.549019 |
| tularemia cases | 0.963677 |
| F. tularensis | 0.788762 |
| New England states | 0.546407 |
|
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| 860 |
Centers for Disease Control and Prevention |
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en |
MMWR News Synopsis: January 30, 2014 | CDC Media Relations | CDC |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| public health emergencies. | 0.385536 |
| Rotavirus Oral Vaccine | 0.335363 |
| Zika virus | 0.249161 |
| Ebola virus | 0.24562 |
| response capacity | 0.259923 |
| vaccination coverage | 0.238862 |
| hepatitis E virus | 0.246045 |
| global responsibility | 0.231895 |
| early detection | 0.337142 |
| priority diseases | 0.238947 |
| international airport screening | 0.33097 |
| outbreak response | 0.232948 |
| significant burden | 0.250678 |
| public health emergencies | 0.379778 |
| HPV-associated cancers | 0.242354 |
| Quadrivalent vaccine | 0.24756 |
| HPV vaccines | 0.389952 |
| Syndrome Coronavirus infection | 0.340955 |
| public health EOC | 0.442145 |
| health security demonstration | 0.406848 |
| CDC Media Relations | 0.797078 |
| International Health Regulations | 0.580064 |
| greater global health | 0.388988 |
| health system capacity | 0.440492 |
|
| global health security | 0.903415 |
| priority infectious diseases | 0.33385 |
| substantial burden | 0.241014 |
| less-than-desired HPV vaccination | 0.453158 |
| Uganda Ministry | 0.283422 |
| demonstration project | 0.342895 |
| genital warts | 0.237822 |
| Immunization Practices | 0.240332 |
| Advisory Committee | 0.23984 |
| remote locations | 0.230908 |
| public health threats | 0.399703 |
| viral hemorrhagic fever | 0.339112 |
| response capabilities | 0.242026 |
| female adolescents | 0.232587 |
| information systems | 0.469231 |
| public health emergency | 0.379411 |
| National data | 0.236115 |
| public health | 0.669643 |
| disease threats | 0.230266 |
| Hemorrhagic Fever virus | 0.370242 |
| 12-year-old boys | 0.257312 |
| considerable systems improvements | 0.32695 |
| West Nile virus | 0.354962 |
| Uganda | 0.291192 |
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| 4754 |
Centers for Disease Control and Prevention |
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en |
School and student characteristics associated with screen-time sedentary behavior among students in grades 5-8, Ontario, Canada, 2007-2008. |
null |
| school-level differences | 0.383581 |
| data | 0.399668 |
| school programs | 0.406616 |
| secondary school students | 0.386208 |
| research | 0.402696 |
| screen-time sedentary behavior | 0.703901 |
| school | 0.681552 |
| PA levels | 0.397846 |
| Canadian elementary school | 0.377405 |
| student characteristics | 0.497225 |
| body mass index | 0.389825 |
| sedentary pursuits | 0.384487 |
| student PA questionnaire | 0.402683 |
| individual student characteristics | 0.396324 |
| schools | 0.433652 |
| School Health Environment | 0.386034 |
| standard deviation | 0.390196 |
| time sedentary behavior | 0.43061 |
| elementary school students | 0.423667 |
| school environment | 0.422693 |
| sedentary lifestyles | 0.388391 |
| healthy physical environment | 0.378503 |
| students | 0.526837 |
| between-school random variation | 0.380515 |
|
| significant school characteristics | 0.385584 |
| significant between-school | 0.421632 |
| school characteristics | 0.443028 |
| school capacity | 0.395164 |
| previous research | 0.393361 |
| moderate screen time | 0.696523 |
| sedentary behavior | 0.838675 |
| public health | 0.405619 |
| multilevel logistic regression | 0.395302 |
| high screen time | 0.842911 |
| elementary schools | 0.416571 |
| screen-time sedentary behaviors | 0.410755 |
| school board ethics | 0.377161 |
| elementary school version | 0.378361 |
| physical activity | 0.499473 |
| PA | 0.552494 |
| significant between-school variation | 0.375133 |
| student-level characteristics | 0.420262 |
| parental encouragement | 0.398134 |
| screen time | 0.968139 |
| sedentary behaviors | 0.432367 |
| Healthy School | 0.379679 |
| low screen time | 0.583317 |
| average screen time | 0.391839 |
|
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| 6501 |
Centers for Disease Control and Prevention |
Html |
en |
South Africa Map - Yellow Fever |
Information on Yellow Fever. Provided by the U.S. Centers for Disease Control and Prevention. |
| ongoing outbreak | 0.237418 |
| World Health Organization | 0.287974 |
| yellow fever | 0.966818 |
| recent updates | 0.216979 |
| Download South America | 0.29736 |
| Map pdf version | 0.289211 |
| current map | 0.20586 |
| eastern Brazil | 0.232027 |
| Brazil travel notice | 0.324093 |
|
| yellow fever outbreak | 0.606157 |
| Working Group | 0.219684 |
| 2These countries | 0.203088 |
| animal reservoirs | 0.211102 |
| Geographic Risk | 0.217532 |
| risk areas | 0.210248 |
| yellow fever transmission | 0.662207 |
| health website | 0.213404 |
|
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| 6641 |
Centers for Disease Control and Prevention |
Html |
null |
Community Members Home Page |
Community Members |
|
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CLICK HERE |
| 7063 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Kyrgyzstan |
CDC has been collaborating with Ministry of Health in the Kyrgyz Republic since 1995 to better recognize and respond to serious public health threats. |
| CDC | 0.787203 |
| endorsement | 0.432909 |
| IBBS | 0.498617 |
| EHCMS | 0.436224 |
| Laboratory Training Program | 0.642376 |
| Kazakhstan | 0.518775 |
| nation-wide implementation | 0.644668 |
| capacity | 0.456621 |
| epidemiologists | 0.440063 |
| Content source | 0.524637 |
| HHS | 0.435515 |
| FELTP | 0.42161 |
| Notice | 0.42298 |
| public health threats | 0.91161 |
| sponsors | 0.420347 |
| Download Overview Fact | 0.647973 |
| electronic HIV case-management | 0.64523 |
| control disease | 0.53734 |
|
| Kyrgyzstan | 0.533886 |
| modern methods | 0.532815 |
| assessments | 0.449037 |
| Uzbekistan | 0.429024 |
| deficiencies | 0.428117 |
| Kyrgyz Republic | 0.719705 |
| Central Asia Regional | 0.65873 |
| country office | 0.53389 |
| non-federal site | 0.540778 |
| activities | 0.423036 |
| CDC/CAR | 0.421718 |
| HIV Integrated Bio-Behavioral | 0.659166 |
| new standard operating | 0.624906 |
| Field Epidemiology | 0.547059 |
| employees | 0.42038 |
| Sheet | 0.422131 |
| Tajikistan | 0.430986 |
|
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| 9515 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements: New Laboratory Informatics Self-AssessmentTool |
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. |
| mmwrq@cdc.gov. | 0.504523 |
| endorsement | 0.45082 |
| Human Services | 0.576993 |
| assistive technology | 0.509972 |
| U.S. Department | 0.573519 |
| MMWR HTML versions | 0.564211 |
| electronic PDF version | 0.556835 |
| e-mail | 0.432991 |
| downloadable PDF file | 0.570826 |
| state | 0.415959 |
| informatics self-assessment tool | 0.627501 |
| valuable assessment | 0.494833 |
| broad range | 0.498145 |
| resource | 0.41575 |
| Contact GPO | 0.510122 |
| commercial sources | 0.492839 |
| clinical laboratories | 0.52316 |
| current prices | 0.487448 |
| laboratory | 0.415987 |
| original paper copy | 0.555252 |
| public health laboratories | 0.938226 |
| U.S. Government Printing | 0.556833 |
| informatics capabilities | 0.603508 |
| Superintendent | 0.417626 |
|
| assistance | 0.417209 |
| title | 0.416183 |
| MMWR readers | 0.494759 |
| character translation | 0.487279 |
| Association | 0.416028 |
| MMWR paper copy | 0.560796 |
| Persons | 0.417388 |
| comprehensive manner | 0.496778 |
| format errors | 0.489953 |
| http://www.aphl.org/aphlprograms/lss/laboratory-efficiencies-initiative/pages/informatics.aspx | 0.41515 |
| subject line | 0.499782 |
| nature | 0.415368 |
| topics | 0.415876 |
| typeset documents | 0.493334 |
| trade names | 0.492921 |
| official text | 0.485959 |
| gaps | 0.418655 |
| local public health | 0.596784 |
| non-CDC sites | 0.490998 |
| informatics experts | 0.520666 |
| report | 0.416169 |
| information | 0.417334 |
| Accommodation | 0.416197 |
| electronic conversions | 0.486393 |
|
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| 13160 |
Centers for Disease Control and Prevention |
Html |
en |
CDC in Brief 2015 infographics |
Centers for Disease Control and Prevention, CDC in Brief Infographic |
| FL hospitals | 0.724306 |
| vaccine manufacturer | 0.743741 |
| CDC | 0.984939 |
| mandatory reportable condition | 0.863214 |
| musculoskeletal disorder | 0.729247 |
| nightmare bacteria | 0.736652 |
| carpal tunnel syndrome | 0.841277 |
| similar infections | 0.73451 |
| medical device | 0.732554 |
| Work-related Hazards | 0.724324 |
| CA health officials | 0.877963 |
| wrist symptoms | 0.73306 |
| direct medical costs | 0.870336 |
| Disease detectives | 0.7571 |
| clinical groups | 0.737301 |
| traumatic injury prevention | 0.836012 |
| dengue virus | 0.727777 |
| FL investigators | 0.728613 |
| public health officials | 0.85034 |
| better address | 0.724291 |
| investigational new drug | 0.857491 |
| Washington State | 0.752015 |
| Energy Employees Occupational | 0.819931 |
| Ensuring Laboratory Excellence | 0.830183 |
| mandatory Vaccines | 0.738304 |
|
| Center Health Program | 0.850031 |
| ongoing outbreak | 0.777943 |
| specific procedure | 0.732324 |
| South Carolina | 0.734727 |
| Program Support | 0.72611 |
| deadly form | 0.744671 |
| pet bearded dragons | 0.871256 |
| Compensation Act resources | 0.824203 |
| elevated levels | 0.736784 |
| college students | 0.735328 |
| lead smelting plant | 0.85362 |
| WA Health Dept. | 0.873302 |
| environmental samples | 0.738513 |
| similarly contaminated communities | 0.853884 |
| poultry processing plant | 0.83605 |
| environmental cleanup | 0.737385 |
| meningococcal disease vaccine | 0.90331 |
| ineffective cleaning protocols | 0.860452 |
| neonatal abstinence syndrome | 0.838228 |
| Global Disease Protection | 0.84123 |
| Salmonella costs | 0.764948 |
| Children Program | 0.732825 |
| TX Health Dept. | 0.856455 |
| blood lead levels | 0.84746 |
|
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| 13976 |
Centers for Disease Control and Prevention |
Html |
en |
Association Between Student Purchases of Beverages Duringthe School Commute and In-School Consumption of Sugar-SweetenedBeverages, San Francisco Bay Area, 2013 |
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. |
| francisco bay area | 0.440791 |
| white students | 0.384272 |
| school enrollment rosters | 0.381377 |
| School Lunch Program | 0.421962 |
| ethnically diverse communities | 0.39832 |
| healthy beverages | 0.384965 |
| logistic regression | 0.423848 |
| beverages | 0.607877 |
| San Francisco Bay | 0.438338 |
| energy drinks | 0.405215 |
| male students | 0.385609 |
| SSB consumption | 0.627381 |
| flavored bottled water | 0.426578 |
| Hunger-Free Kids Act | 0.389472 |
| water promotion intervention | 0.444875 |
| schools | 0.436002 |
| female students | 0.384734 |
| diverse middle school | 0.393444 |
| sociodemographic characteristics | 0.461321 |
| beverage consumption patterns | 0.406684 |
| youth SSB consumption | 0.3973 |
| beverages schools | 0.383183 |
| National School Lunch | 0.421965 |
| study | 0.421262 |
| control group students | 0.39733 |
|
| children’s SSB | 0.393816 |
| United States | 0.380287 |
| students | 0.916536 |
| school commute | 0.631364 |
| calorically sweetened beverages | 0.392159 |
| electrolyte replacement beverages | 0.400101 |
| school lunchtime | 0.939297 |
| sugar-sweetened beverages | 0.412896 |
| R. Lee Institute | 0.379392 |
| school district research | 0.391778 |
| SSBs students | 0.384004 |
| beverage consumption | 0.429843 |
| survey data | 0.382238 |
| sports drinks | 0.496763 |
| middle school students | 0.468817 |
| stores | 0.384462 |
| Asian students | 0.384235 |
| data collection | 0.407412 |
| Philip R. Lee | 0.3774 |
| SSB intake | 0.414338 |
| San Francisco | 0.468212 |
| study schools | 0.389501 |
| in-school SSB consumption | 0.417677 |
| school sources | 0.426482 |
|
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| 16346 |
Centers for Disease Control and Prevention |
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FastStats - Home Health Care |
null |
| National Study | 0.588784 |
| PDF | 0.364405 |
| Long-Term Care Providers | 0.978813 |
| United States | 0.592335 |
|
| MB | 0.407128 |
| Data | 0.366435 |
| Services Users | 0.594703 |
| Source | 0.368194 |
|
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