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Announcements: World Encephalitis Day - February 22,2014 |
Encephalitis, inflammation of the brain, is caused by several different infectious and noninfectious entities. Encephalitis can be an uncommon complication of a common infection, such as infection with a herpes virus or with any of several vaccine-preventable disease viruses, or a predictable presentation of a rare pathogen, such as the ameba, Naegleria fowleri. |
| substantial health-care costs | 0.453418 |
| large number | 0.344535 |
| Human Services | 0.459069 |
| U.S. Department | 0.456057 |
| MMWR HTML versions | 0.449357 |
| common infection | 0.38034 |
| exhaustive testing | 0.347285 |
| electronic PDF version | 0.435988 |
| World Encephalitis | 0.674138 |
| causative agents | 0.3513 |
| vaccine-preventable disease viruses | 0.515641 |
| herpes virus | 0.388449 |
| climate change | 0.349218 |
| tickborne encephalitis virus | 0.873504 |
| overall case-fatality rate | 0.447658 |
| Contact GPO | 0.362026 |
| commercial sources | 0.33469 |
| predictable presentation | 0.367772 |
| current prices | 0.33164 |
| original paper copy | 0.443737 |
| vaccine availability | 0.348622 |
| noninfectious entities | 0.378001 |
| certain settings | 0.337777 |
| encephalitis etiologies | 0.732047 |
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| global travel | 0.358327 |
| nonspecific clinical presentation | 0.480358 |
| rare pathogen | 0.362046 |
| U.S. Government Printing | 0.448063 |
| original MMWR paper | 0.444769 |
| uncommon complication | 0.371132 |
| invigorate global prevention | 0.465386 |
| MMWR readers | 0.342624 |
| enterovirus infection | 0.398299 |
| individual outcomes | 0.350695 |
| Nipah virus | 0.384758 |
| Naegleria fowleri | 0.383027 |
| infectious encephalitides | 0.370077 |
| encephalitis pathogens | 0.712336 |
| environmental alterations | 0.36166 |
| better outcomes | 0.348777 |
| format errors | 0.330526 |
| typeset documents | 0.337079 |
| host factors | 0.337819 |
| trade names | 0.334782 |
| Balamuthia mandrillaris | 0.380044 |
| non-CDC sites | 0.334206 |
| encephalitis | 0.937243 |
| West Nile virus | 0.493827 |
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Medical Costs and Productivity Losses of Cancer Survivors -United States, 2008-2011 |
Donatus U. Ekwueme, PhD1,2, K. Robin Yabroff, PhD2,3, Gery P. |
| Medical Expenditure Panel | 0.285668 |
| Cancer Survivorship Survey | 0.38141 |
| cancer treatment | 0.286028 |
| United States | 0.34574 |
| cancer survivors group | 0.408622 |
| economic burden | 0.420319 |
| total economic burden | 0.281682 |
| female survivors | 0.366925 |
| annual productivity loss | 0.320483 |
| daily activities | 0.380576 |
| High-Quality Cancer Care | 0.317488 |
| cancer highlight | 0.280327 |
| MEPS priority conditions | 0.536988 |
| Affordable Cancer Care | 0.318003 |
| American Cancer Society | 0.304709 |
| usual daily activities | 0.364277 |
| productivity losses | 0.380687 |
| male cancer survivors | 0.520189 |
| 3National Cancer Institute | 0.307359 |
| National Cancer Institute | 0.305121 |
| cancer costs | 0.294341 |
| National Cancer Policy | 0.312294 |
| annual medical costs | 0.454356 |
| Healthcare Research | 0.302171 |
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| health insurance coverage | 0.3325 |
| cancer care | 0.331689 |
| medical care follow-up | 0.298624 |
| MEPS response rates | 0.281757 |
| multivariable logistic regression | 0.325314 |
| cancer survivorship experience | 0.360396 |
| medical care costs | 0.312705 |
| accessing health care | 0.291365 |
| Donatus U. Ekwueme | 0.331879 |
| Cancer Workgroup | 0.303827 |
| cancer diagnosis | 0.281203 |
| annual medical expenditures | 0.492003 |
| cancer survivorship | 0.436699 |
| cancer site | 0.280662 |
| persons | 0.303566 |
| care medical services | 0.288217 |
| cancer survivors | 0.99977 |
| nonmelanoma skin cancer | 0.320835 |
| mental tasks | 0.291385 |
| productivity loss | 0.362517 |
| Cancer Prevention | 0.28102 |
| cancer history | 0.634674 |
| female cancer survivors | 0.426993 |
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Centers for Disease Control and Prevention |
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Global Health - Uzbekistan |
CDC global health programs in Uzbekistan |
| country capacity | 0.480501 |
| endorsement | 0.274871 |
| Central Asia scientists | 0.647416 |
| IBBS | 0.304029 |
| Central Asia countries | 0.661339 |
| scientific output | 0.450928 |
| sound health policy | 0.701367 |
| labor migrants | 0.49971 |
| office | 0.24339 |
| Content source | 0.449496 |
| HHS | 0.281499 |
| Uzbekistan scientists | 0.594155 |
| Notice | 0.249581 |
| systems | 0.243073 |
| public health threats | 0.756031 |
| Medline-indexed journals | 0.451414 |
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| Download Overview Fact | 0.69197 |
| highest number | 0.460384 |
| infectious disease surveillance | 0.779628 |
| multiple programs | 0.446884 |
| long history | 0.499145 |
| analysis | 0.242756 |
| important infectious diseases | 0.741313 |
| non-federal site | 0.498085 |
| control measures | 0.47917 |
| collaboration | 0.248402 |
| CDC systematic review | 0.913261 |
| MARPs | 0.240746 |
| Behavioral Survey | 0.465502 |
| employees | 0.238727 |
| Sheet | 0.241788 |
| Integrated Biological | 0.462604 |
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Communities of Practice - Resource Kit |
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| template | 0.742207 |
| CoP | 0.966798 |
| CoP Meeting Agenda | 0.750597 |
| CoP collaborations | 0.649825 |
| Needs Assessment Template | 0.589665 |
| CoPs | 0.714256 |
| CoP’s lifecycle | 0.684413 |
| Leaders | 0.719027 |
| SMART Objectives Template | 0.585184 |
| action items | 0.561276 |
| CoP focus | 0.661649 |
| members | 0.701862 |
| Scribe Template | 0.568612 |
| DOC | 0.861522 |
| CoP Subject Matter | 0.68459 |
| cop meeting | 0.754926 |
| CoP Charter Template | 0.737262 |
| CoP Facilitators | 0.799967 |
| Item Log Template | 0.593583 |
| plan | 0.601491 |
| public health | 0.560605 |
| CoP outcomes | 0.6503 |
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| Advanced Facilitation Guide | 0.558562 |
| tip sheet | 0.615553 |
| CoP Charter Overview | 0.699541 |
| new CoPs | 0.581305 |
| new CoP | 0.756016 |
| CoP Technical Managers | 0.685664 |
| Management Tip Sheet | 0.556203 |
| resources | 0.559827 |
| CoP Resource Kit | 0.718792 |
| potential members | 0.633131 |
| Biographical Sketch Template | 0.585062 |
| CoP charters | 0.672383 |
| community | 0.59959 |
| Discussion Log Template | 0.595126 |
| aid potential members | 0.56513 |
| Microsoft Word template | 0.584325 |
| CoP members | 0.661512 |
| Facilitation Tip Sheet | 0.557007 |
| Newsletter Template | 0.563646 |
| CoP newsletter | 0.653561 |
| Membership Tracking Template | 0.589512 |
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Minority Health Home Page |
The Office of Minority Health and Health Equity (OMHHE) Mission: Advance health equity and women’s health issues across the nation through CDC’s science and programs, and increase CDC’s capacity to leverage its diverse workforce and engage stakeholders toward this end. |
| Nation | 0.333393 |
| Minority Health Determines | 0.736484 |
| list Skip | 0.760029 |
| health indicators | 0.499822 |
| death | 0.331167 |
| disproportionate burden | 0.569968 |
| United States | 0.502665 |
| minorities | 0.353624 |
| page options Skip | 0.942389 |
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| Americans | 0.341007 |
| percent | 0.354221 |
| navigation Skip | 0.767184 |
| infant mortality | 0.532337 |
| population | 0.339503 |
| life expectancy | 0.523278 |
| century | 0.33297 |
| preventable disease | 0.52216 |
| ethnic minority group | 0.704553 |
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About Lab Safety at CDC |
Updates on the latest findings, reports, and news about lab safety at CDC |
| country | 0.338298 |
| CDC | 0.912781 |
| health threats | 0.50096 |
| laboratory workers | 0.488097 |
| laboratory work | 0.502983 |
| state-of-the-art laboratories | 0.516509 |
| world | 0.338182 |
| public | 0.371063 |
| health security | 0.495227 |
| America | 0.335675 |
| laboratory safety incidents | 0.669091 |
| laboratory safety efforts | 0.66594 |
| portal | 0.337222 |
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| comprehensive internal reviews | 0.667003 |
| lives | 0.342787 |
| staff | 0.338994 |
| community | 0.338907 |
| people | 0.380237 |
| extensive laboratory guidelines | 0.655378 |
| laboratory safety | 0.751372 |
| laboratory safety site | 0.667325 |
| key link | 0.502636 |
| principles | 0.339313 |
| select agents | 0.506899 |
| 24/7 | 0.342881 |
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New analysis of breast cancer subtypes could lead to better risk stratification |
Annual Report to the Nation shows that mortality and incidence for most cancers continue to decline |
| preventable cancer | 0.279601 |
| breast cancer subtypes | 0.603594 |
| breast cancer deaths | 0.406618 |
| American Cancer Society | 0.600769 |
| cancer registration | 0.265088 |
| new diagnostic categories | 0.252335 |
| NCI Web site | 0.250669 |
| cancer incidence rates | 0.475601 |
| different survival rates. | 0.256646 |
| prostate cancer incidence | 0.434692 |
| Cancer Society Chief | 0.333898 |
| Colorectal cancer incidence | 0.438953 |
| poverty level | 0.266721 |
| breast cancer treatment | 0.452208 |
| molecularly defined subtypes | 0.341802 |
| CDC Director Tom | 0.250539 |
| cancer patients | 0.268318 |
| HR+/HER2- breast cancer | 0.523316 |
| different subtypes | 0.28272 |
| incidence rates | 0.500902 |
| cancer control | 0.266113 |
| higher incidence rates | 0.392471 |
| clinically meaningful subtypes | 0.351053 |
| National Cancer Program | 0.341762 |
| Annual Report | 0.261753 |
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| cancer mortality rates | 0.517706 |
| cancer prevention | 0.326571 |
| Cancer Information Service | 0.330925 |
| cancer research | 0.271538 |
| breast cancer rates | 0.466241 |
| NCI Director Harold | 0.260685 |
| National Cancer Institute | 0.47882 |
| North American Association | 0.386292 |
| cancer surveillance data | 0.324331 |
| overall cancer mortality | 0.370074 |
| breast cancer subtype | 0.561169 |
| central cancer registries | 0.553429 |
| aggressive breast cancer | 0.408699 |
| breast cancer | 0.995714 |
| non-hispanic blacks | 0.256588 |
| major molecular subtypes | 0.382025 |
| highest rates | 0.261783 |
| assesses breast cancer | 0.405814 |
| major cancer sites | 0.382539 |
| clinically relevant degrees | 0.259212 |
| breast cancer incidence | 0.525664 |
| lung cancer incidence | 0.435334 |
| cancer biology | 0.26816 |
| cancer incidence | 0.612482 |
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MMWR News Synopsis for April 23, 2015 |
MMWR – Morbidity and Mortality Weekly Report CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| global polio eradication | 0.659725 |
| non-patient care staff | 0.531305 |
| neural tube defects | 0.846324 |
| nurse assistants | 0.526513 |
| poliovirus surveillance data | 0.549328 |
| work-related illness | 0.492211 |
| support resources | 0.475075 |
| Health Safety Network | 0.54063 |
| future cases | 0.531493 |
| surveillance activities | 0.489164 |
| health care personnel | 0.55273 |
| Physician reporting | 0.4665 |
| patient handling | 0.469744 |
| Polio Eradication Initiative | 0.548614 |
| complement data | 0.465222 |
| timely polio surveillance | 0.565303 |
| nurse assistant duties | 0.544836 |
| prevention programs | 0.506652 |
| new WHO guideline | 0.468693 |
| countries | 0.470584 |
| health care facilities | 0.543928 |
| global public health | 0.524877 |
| tube defects prevention | 0.576142 |
| Injury prevention measures | 0.540426 |
| CDC Media Relations | 0.924935 |
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| violence injury rates | 0.526889 |
| primary surveillance quality | 0.542946 |
| folic acid fortification | 0.516553 |
| healthcare personnel | 0.470413 |
| Early diagnosis | 0.467807 |
| Work-related risk factors | 0.550125 |
| existing asthma | 0.479797 |
| prevention efforts | 0.474543 |
| work-related asthma | 0.562546 |
| asthma-like symptoms | 0.46711 |
| nursing jobs | 0.469525 |
| continuous improvement | 0.468048 |
| surveillance systems | 0.48845 |
| Physician recognition | 0.468158 |
| public health | 0.588692 |
| poliovirus circulation | 0.466001 |
| workplace violence injuries | 0.526569 |
| job classifications | 0.468964 |
| local public health | 0.534088 |
| web-based portal | 0.470647 |
| birth defects data | 0.567937 |
| vaccine-derived poliovirus | 0.464921 |
| Safety cultures | 0.471727 |
| polio eradication efforts | 0.55538 |
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Tuberculosis Contact Investigations - United States,2003-2012 |
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. |
| contagious TB patients | 0.361181 |
| treatment | 0.450531 |
| latent TB infection | 0.362362 |
| Puerto Rico | 0.503762 |
| Kai H. Young | 0.258557 |
| potential TB cases | 0.326781 |
| smear-positive index patient | 0.260737 |
| United States | 0.220668 |
| index TB cases | 0.342354 |
| health care provider | 0.321341 |
| TB elimination | 0.334301 |
| culture-positive index patient | 0.259419 |
| smear-positive index patients | 0.348176 |
| smear-positive TB patient | 0.333845 |
| public health authorities | 0.253619 |
| contact investigations | 0.656038 |
| number | 0.207765 |
| TB contact investigations | 0.604317 |
| index patient | 0.521022 |
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| culture-positive pulmonary TB | 0.343733 |
| health departments | 0.218827 |
| index patients | 0.61104 |
| sputum smear-positive index | 0.303078 |
| smear-positive TB patients | 0.337858 |
| public health | 0.278912 |
| 50 states | 0.264708 |
| index TB patient | 0.350324 |
| TB Prevention | 0.274814 |
| culture-positive index patients | 0.349106 |
| TB cases | 0.861261 |
| infected contacts | 0.260263 |
| LTBI | 0.43842 |
| TB | 0.94044 |
| M. tuberculosis | 0.235502 |
| TB control | 0.320811 |
| local TB control | 0.304861 |
| global TB control | 0.317465 |
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Increases in Drug and Opioid-Involved Overdose Deaths - United States, 2010-2015 |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| specific drug | 0.286821 |
| harm reduction approaches | 0.230853 |
| illicit opioids | 0.210009 |
| deaths.†Drug overdose | 0.206652 |
| opioid subcategories | 0.202969 |
| U.S. opioid epidemic | 0.278742 |
| age-adjusted death rates | 0.270365 |
| commonly prescribed opioids | 0.214303 |
| South Carolina | 0.20155 |
| states | 0.330766 |
| cause-of-death codes | 0.220032 |
| percentage points | 0.202319 |
| heroin death rates | 0.326373 |
| overdose death rates | 0.269049 |
| synthetic opioids | 0.595594 |
| Prescribing Opioids | 0.213799 |
| disorder treatment capacity | 0.232735 |
| law enforcement strategies | 0.230229 |
| natural/semi-synthetic opioid death | 0.214891 |
| overall drug overdose | 0.205337 |
| joinpoint regression.¶ Opioid | 0.201436 |
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| prescription opioids | 0.223801 |
| natural/semisynthetic opioids | 0.268868 |
| heroin deaths | 0.23659 |
| law enforcement | 0.250358 |
| natural/semisynthetic opioid deaths | 0.269717 |
| specific drug differing | 0.233917 |
| overdose death rate | 0.203643 |
| drug overdose deaths | 0.957639 |
| opioid deaths | 0.290846 |
| drug overdose death | 0.459399 |
| methadone death rates | 0.315366 |
| methadone deaths | 0.230934 |
| opioid death rates | 0.389762 |
| National Vital Statistics | 0.273498 |
| natural/semisynthetic opioid death | 0.339992 |
| fewer deaths | 0.201421 |
| opioid use disorder | 0.210522 |
| overdose death certificates | 0.355323 |
| illicit opioid supply | 0.294476 |
| death rates | 0.847288 |
| opioid overdose death | 0.281969 |
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