| 716 |
Centers for Disease Control and Prevention |
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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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| 4754 |
Centers for Disease Control and Prevention |
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School and student characteristics associated with screen-time sedentary behavior among students in grades 5-8, Ontario, Canada, 2007-2008. |
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| 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 |
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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 |
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Community Members Home Page |
Community Members |
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| 7063 |
Centers for Disease Control and Prevention |
Html |
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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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| 7411 |
Centers for Disease Control and Prevention |
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Chemical Weapons Elimination - Fact Sheets and Publications |
The Centers for Disease Control and Prevention provides independent oversight to the U.S. chemical weapons elimination program and serves as an important element in ensuring the safe destruction of chemical warfare material for protection of public health. |
| agents GA | 0.358686 |
| U.S. Chemical Weapons | 0.708348 |
| Interim Recommendations | 0.39353 |
| Revised Plan | 0.327108 |
| Incinerator air emissions | 0.453123 |
| Environmental Treatment Facility | 0.44924 |
| human health | 0.349392 |
| Disease Control | 0.785206 |
| Weapons Elimination Timeline | 0.52892 |
| Chemical Weapons Elimination | 0.941461 |
| Chemical Agent Disposal | 0.923729 |
| Newport Chemical Agent | 0.62691 |
| Technical Investigation Report | 0.440378 |
| Harvey Rogers | 0.326806 |
| Off-site Treatment | 0.431569 |
| Emergency room procedures | 0.482917 |
| case study | 0.331247 |
| breakdown products | 0.331001 |
| Safe disposal | 0.420591 |
| Environ Health. | 0.346704 |
| Sulfur Mustard Munitions | 0.591991 |
| acute mammalian toxicity | 0.438035 |
| Annual Report | 0.331642 |
| Public Health | 0.327537 |
| Warfare Agent Disposal | 0.542048 |
|
| inhalation exposure perspectives | 0.476767 |
| potential adverse effects | 0.719216 |
| Offsite Shipment | 0.329317 |
| Secondary Waste | 0.320033 |
| mustard agent | 0.410296 |
| Mumtaz M. Prediction | 0.448544 |
| Airborne Exposure Limits | 0.487107 |
| long-term exposure | 0.364557 |
| Fed Reg. | 0.656984 |
| QSAR methods | 0.337097 |
| U.S. Army Chemical | 0.498068 |
| Chemical Warfare Agents | 0.524745 |
| CDC Recommendations | 0.375128 |
| New Jersey | 0.328671 |
| chemical hazard emergencies | 0.538265 |
| U.S. Army Proposal | 0.453974 |
| Caustic VX Hydrolysate | 0.791991 |
| Tooele Chemical Agent | 0.504702 |
| Agent Disposal Facility | 0.806797 |
| Agent Disposal Facilities | 0.669191 |
| historical reference | 0.329231 |
| Final recommendations | 0.511367 |
| low doses | 0.344026 |
| sulfur mustard | 0.707143 |
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| 11437 |
Centers for Disease Control and Prevention |
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Disease Detective: Monique - CDC Responds to the 2014 Ebola Outbreak |
CDC works 24/7 saving lives, protecting people from health threats, and saving money to have a more secure nation. A US federal agency, CDC helps make the healthy choice the easy choice by putting science and prevention into action. CDC works to help people live longer, healthier and more productive lives. |
| Operation Iraqi Freedom | 0.664872 |
| janitors | 0.520918 |
| impact fear | 0.590731 |
| everyday people | 0.588053 |
| lay people | 0.589147 |
| Nigerian | 0.518103 |
| sanitation workers | 0.585531 |
| big thing | 0.594067 |
| Ebola outbreak | 0.914235 |
| Operation Enduring Freedom | 0.664746 |
| limited healthcare | 0.586989 |
| hotel staff | 0.586434 |
| Zaire | 0.520619 |
| contact | 0.530744 |
| things | 0.530714 |
| understanding | 0.518057 |
| six-year stint | 0.601843 |
| personal protective equipment | 0.69272 |
| CDC-issued gear | 0.607115 |
| African nations | 0.601863 |
| CDC member | 0.595468 |
| Swahili | 0.519924 |
| Democratic Republic | 0.592176 |
| real heroes | 0.583393 |
| standard trunkful | 0.607171 |
|
| communications specialist | 0.590477 |
| unique mix | 0.603613 |
| proper way | 0.595239 |
| big continent | 0.594842 |
| Burundi | 0.522007 |
| stigma | 0.518069 |
| deadly virus | 0.586678 |
| community leaders | 0.585359 |
| Integrated Disease Surveillance | 0.65579 |
| typical health workers | 0.655148 |
| disease outbreaks | 0.586628 |
| Monique | 0.744881 |
| Response Program | 0.587209 |
| African culture | 0.594554 |
| technical skills | 0.606427 |
| preventive measures | 0.585534 |
| Rwanda | 0.579114 |
| heroic effort | 0.589293 |
| West Africa deployment | 0.670557 |
| biggest thing | 0.588873 |
| local people | 0.589191 |
| family | 0.529183 |
| right messages | 0.589611 |
| Ebola deployment | 0.662075 |
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| 13160 |
Centers for Disease Control and Prevention |
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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 |
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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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