| 4772 |
Centers for Disease Control and Prevention |
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Observations and recommendations From the Mobilizing Action Toward Community Health (MATCH) Expert Meeting. |
null |
| local population health | 0.439391 |
| Population Health Institute | 0.454964 |
| health improvement activities | 0.39553 |
| Discussion regarding investments | 0.353017 |
| Wood Johnson Foundation | 0.436393 |
| financial incentives | 0.381094 |
| health outcomes | 0.411891 |
| community partnerships | 0.361169 |
| health disparities | 0.379626 |
| population health partnerships | 0.458795 |
| effective partnerships | 0.368596 |
| different geographic areas | 0.360421 |
| population health | 0.929989 |
| community health dividend | 0.394432 |
| population health agenda | 0.441726 |
| population health model | 0.46793 |
| community health | 0.398695 |
| available data | 0.353133 |
| accountable health communities | 0.389261 |
| community benefit tax | 0.355263 |
| short time frames | 0.354116 |
| population health metrics | 0.492462 |
| summarize key themes | 0.354318 |
| population health field | 0.489834 |
| Public Health | 0.367735 |
|
| multisector population health | 0.433568 |
| population health partnership | 0.445216 |
| County Health Rankings | 0.423358 |
| different health determinants | 0.416752 |
| unnecessary health care | 0.390103 |
| multiple determinants | 0.37811 |
| Robert Wood Johnson | 0.436399 |
| population health market | 0.462725 |
| health community | 0.371028 |
| air quality policies | 0.361566 |
| population health incentives | 0.470417 |
| different disparity domains | 0.353139 |
| population health improvement | 0.728 |
| health care | 0.408712 |
| participants | 0.443833 |
| secondary health effects | 0.382581 |
| logic model | 0.352919 |
| Wisconsin Population Health | 0.436992 |
| precise metrics | 0.353127 |
| monetary incentives | 0.357652 |
| nonfinancial incentives | 0.366543 |
| Population-based metrics | 0.354791 |
| geographic areas | 0.397832 |
| specific incentives | 0.365739 |
|
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| 5380 |
Centers for Disease Control and Prevention |
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FASD - The Danish Medical Research Council -- Copenhagen, Denmark - International Research |
FASDs are 100% preventable if a woman does not drink alcohol during pregnancy. There is no known safe amount of alcohol to drink while pregnant. There is also no safe time during pregnancy to drink and no safe kind of alcohol. |
| Falgreen Eriksen HL | 0.527143 |
| early pregnancy | 0.717446 |
| moderate alcohol intake | 0.593536 |
| binge drinking | 0.693931 |
| 5-year-old children | 0.555483 |
| early pregnancy increase | 0.500867 |
| Gynaecology | 0.520113 |
| Denny CH | 0.567686 |
| psychomotor deficits | 0.511985 |
| children | 0.579686 |
| year-old children | 0.45675 |
| Eriksen H-LF | 0.475316 |
| pre-pregnancy alcohol drinking | 0.555174 |
| prenatal alcohol exposure | 0.82008 |
| EL | 0.527197 |
| growth retardation | 0.46104 |
| moderate prenatal alcohol | 0.634239 |
| different alcohol drinking | 0.546506 |
| nervous system problems | 0.463003 |
| binge drinking episodes | 0.521529 |
| Medical Research Council | 0.506911 |
| telephone survey | 0.459814 |
| International Journal | 0.800036 |
| BJOG | 0.48861 |
| Bertrand J. | 0.462398 |
|
| population-based cohort study | 0.524136 |
| Danish National Birth | 0.586948 |
| nervous system development | 0.462267 |
| heavy alcohol | 0.512086 |
| read summary | 0.969935 |
| alcohol binge drinking | 0.552609 |
| National Birth Cohort | 0.6 |
| Experimental Research | 0.497325 |
| 1-6. DOI | 0.495312 |
| Falgreen Eriksen H-L | 0.693261 |
| mid pregnancy | 0.456306 |
| medical information | 0.456169 |
| facial abnormalities | 0.459794 |
| prospective cohort study | 0.50629 |
| intellectual information | 0.456263 |
| moderate alcohol consumption | 0.712806 |
| Eriksen HL | 0.588133 |
| Obstetrics | 0.507035 |
| Underbjerg | 0.455362 |
| child neuropsychological functioning | 0.497896 |
| nervous system vulnerabilities | 0.461991 |
| Medical Research Archives | 0.497616 |
| Pregnancy Study Group | 0.496925 |
| Landrø NI | 0.62247 |
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| 7085 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Czech Republic |
null |
| Content source | 0.422709 |
| HHS | 0.297574 |
| list Skip | 0.74332 |
| endorsement | 0.291872 |
| CDC | 0.271556 |
| non-federal site | 0.4688 |
|
| Notice | 0.270187 |
| sponsors | 0.241885 |
| page options Skip | 0.947337 |
| information | 0.241652 |
| employees | 0.242118 |
|
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| 7130 |
Centers for Disease Control and Prevention |
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QuickStats: Age-Adjusted Homicide Rates,* by Sex and Type of Locality - 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. |
| mmwrq@cdc.gov. | 0.309065 |
| localities | 0.245593 |
| endorsement | 0.24418 |
| Alternate Text | 0.297668 |
| Human Services | 0.371156 |
| assistive technology | 0.316916 |
| MMWR HTML versions | 0.366706 |
| U.S. Department | 0.366497 |
| medium metropolitan counties | 0.546922 |
| homicide rates | 0.389298 |
| identification | 0.216885 |
| electronic PDF version | 0.364239 |
| e-mail | 0.239377 |
| homicide rate | 0.867319 |
| Contact GPO | 0.308462 |
| locality | 0.243405 |
| commercial sources | 0.298247 |
| males | 0.376348 |
| population | 0.260687 |
| current prices | 0.292317 |
| original paper copy | 0.358914 |
| United States | 0.301783 |
| original MMWR paper | 0.363319 |
| 100,000 | 0.2572 |
|
| Superintendent | 0.217895 |
| assistance | 0.219763 |
| title | 0.218612 |
| MMWR readers | 0.296258 |
| character translation | 0.293179 |
| file | 0.219876 |
| Persons | 0.21994 |
| fringe metropolitan counties | 0.405504 |
| format errors | 0.291828 |
| females | 0.310925 |
| subject line | 0.308046 |
| Health | 0.230908 |
| age-adjusted homicide rate | 0.686902 |
| typeset documents | 0.295384 |
| trade names | 0.298319 |
| paper copy | 0.360422 |
| official text | 0.289723 |
| females. | 0.217738 |
| non-CDC sites | 0.294797 |
| report | 0.218599 |
| information | 0.21989 |
| Accommodation | 0.218625 |
| electronic conversions | 0.289977 |
| central metropolitan counties | 0.953003 |
|
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| 7630 |
Centers for Disease Control and Prevention |
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Influenza Division International Program Annual Report |
Overview of the CDC Influenza Division International Program, its objectives and goals, and contains a downloadable annual report. |
| critical needs | 0.356876 |
| World Health Organization | 0.52852 |
| laboratory capacity | 0.387476 |
| seasonal influenza | 0.733622 |
| influenza vaccine program | 0.800778 |
| National Ministries | 0.380558 |
| influenza prevention policies | 0.805583 |
| research projects | 0.357514 |
| international partners | 0.372017 |
|
| pandemic influenza | 0.794905 |
| influenza surveillance | 0.684491 |
| CDC Influenza Division | 0.913012 |
| Core activities | 0.362302 |
| International Program | 0.37333 |
| decisions | 0.232174 |
| threat | 0.234787 |
| local pandemic plans | 0.54883 |
| wide range | 0.382644 |
|
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| 10290 |
Centers for Disease Control and Prevention |
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Before a Storm'Winter Weather |
Taking preventive action is your best defense against having to deal with extreme cold-weather conditions. By preparing your home and car in advance for winter emergencies, and by observing safety precautions during times of extremely cold weather, you can reduce the risk of weather-related health problems. |
| temperatures | 0.458116 |
| winter storms | 0.788413 |
| stages | 0.371516 |
|
| challenge | 0.397336 |
| winter storm | 0.722421 |
|
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| 10800 |
Centers for Disease Control and Prevention |
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CDC announces first case of Middle East Respiratory Syndrome Coronavirus infection (MERS) in the United States | Press Release | CDC Online Newsroom | CDC |
CDC public health news, press releases, government public health news, medical and disease news, story ideas, photos. |
| general public | 0.43844 |
| sustained spread | 0.4475 |
| Tom Frieden | 0.61248 |
| Respiratory Syndrome Coronavirus | 0.656273 |
| health officials | 0.869659 |
| Indiana hospital | 0.557307 |
| Asked MERS Questions | 0.564673 |
| state health officials | 0.647053 |
| Dr. Anne Schuchat | 0.551156 |
| Disease Control | 0.432895 |
| Indiana health officials | 0.620129 |
| U.S. case | 0.438661 |
| swift action | 0.452079 |
| resource lists | 0.431248 |
| Travel Health Warnings | 0.545457 |
| World Health Organization | 0.547465 |
| unwashed hands | 0.430523 |
| CDC Director Tom | 0.664551 |
| specific treatment | 0.434947 |
| assistant surgeon general | 0.547097 |
| public health officials | 0.616296 |
| healthcare facilities | 0.525878 |
| emergency department | 0.442695 |
| MERS Co-V | 0.450873 |
| Respiratory Diseases | 0.482006 |
|
| East Respiratory Syndrome | 0.841833 |
| Arabian Peninsula | 0.550078 |
| United States | 0.591315 |
| Saudi Arabia | 0.943814 |
| Middle East | 0.582683 |
| respiratory symptoms | 0.485033 |
| severe acute respiratory | 0.580272 |
| infection control precautions | 0.558144 |
| patient | 0.592805 |
| close contact | 0.696587 |
| Dr. Tom Frieden | 0.557418 |
| healthcare professionals | 0.430974 |
| eastern Saudi Arabia | 0.567948 |
| travel history | 0.442614 |
| stable condition | 0.440724 |
| available vaccine | 0.43219 |
| Indiana Department | 0.439306 |
| local health officials | 0.59131 |
| U.S. importation | 0.437307 |
| people | 0.465536 |
| respiratory illnesses | 0.462674 |
| MERS-CoV infection | 0.765515 |
| infected person | 0.441707 |
| community settings | 0.434962 |
|
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Notes from the Field: Acute Flaccid Myelitis Among PersonsAged ?21 Years - United States, August 1-November 13, 2014 |
Division of Viral Diseases, National Centers for Immunization and Respiratory Diseases, CDC; Division of Vector-Borne Diseases, Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, CDC; Children's Hospital Colorado; Council of State and Territorial Epidemiologists. |
| magnetic resonance | 0.752299 |
| CDC | 0.930187 |
| mildly elevated protein | 0.70911 |
| health care provider | 0.714359 |
| magnetic resonance image | 0.722055 |
| interim clinical management | 0.698024 |
| limb weakness | 0.929689 |
| brief patient summary | 0.700887 |
| Zoonotic Infectious Diseases | 0.759479 |
| health care providers | 0.900125 |
| neurologic symptom onset | 0.791686 |
| Additional information | 0.693645 |
| cerebrospinal fluid testing | 0.721145 |
| patients | 0.826109 |
| general hygienic measures | 0.691849 |
| central spinal cord | 0.733086 |
| possible neurologic illness | 0.764595 |
| febrile illness | 0.801122 |
| severe respiratory disease | 0.781457 |
| current clinical status | 0.708331 |
| case definition | 0.685814 |
| spinal cord lesion | 0.718777 |
| Respiratory Diseases | 0.704638 |
| advisory requesting state | 0.730714 |
| magnetic resonance imaging | 0.739941 |
|
| Vector-Borne Diseases | 0.654117 |
| acute limb weakness | 0.803635 |
| respiratory illness onset | 0.837927 |
| local health department | 0.720273 |
| focal limb weakness | 0.770929 |
| Cranial nerve motor | 0.716963 |
| upper respiratory tract | 0.93193 |
| acute flaccid myelitis | 0.729912 |
| health departments | 0.830283 |
| acute onset | 0.672395 |
| spinal cord | 0.744698 |
| local health departments | 0.743671 |
| public health | 0.743306 |
| respiratory tract samples | 0.938598 |
| Hospital Colorado | 0.733032 |
| neurologic illness | 0.775289 |
| past medical history | 0.716077 |
| local public health | 0.727456 |
| acute flaccid paralysis | 0.720545 |
| neurologic symptoms | 0.665097 |
| illness meeting | 0.65711 |
| gray matter | 0.739121 |
| vaccine-preventable diseases | 0.727821 |
| severe illness | 0.659346 |
|
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Outbreak of Salmonella Newport Infections Linked toCucumbers - United States, 2014 |
Kristina M. Angelo, DO1,2, Alvina Chu, MHS3, Madhu Anand, MPH4, Thai-An Nguyen, MPH2, Lyndsay Bottichio, MPH2, Matthew Wise, PhD2, Ian Williams, PhD2, Sharon Seelman, MS, MBA5, Rebecca Bell, PhD5, Marianne Fatica, PhD5, Susan Lance, DVM, PhD5, Deanna Baldwin6, Kyle Shannon3, Hannah Lee, MPH3, Eija Trees, PhD2, Errol Strain, PhD5, Laura Gieraltowski, PhD2 (Author affiliations at end of text). |
| characterize PFGE pattern | 0.536388 |
| single nucleotide polymorphism | 0.60865 |
| leafy greens | 0.568383 |
| York State Department | 0.586233 |
| Kristina M. Angelo | 0.618377 |
| outbreak investigation | 0.538274 |
| produce items | 0.531286 |
| Agriculture foodborne outbreak | 0.60528 |
| outbreak | 0.674845 |
| Zoonotic Infectious Diseases | 0.575171 |
| ill persons | 0.625959 |
| PFGE pattern | 0.754119 |
| nucleotide polymorphism distance | 0.609842 |
| Illness onset dates | 0.537926 |
| Delmarva region | 0.964039 |
| highly related isolates | 0.530676 |
| Salmonella Newport outbreaks | 0.574385 |
| Salmonella Newport PFGE | 0.572869 |
| Maryland Department | 0.560791 |
| Salmonella Newport | 0.861619 |
| different distribution chain | 0.605066 |
| supplemental questionnaire | 0.632809 |
| illness subclusters | 0.702855 |
| distinct illness subclusters | 0.536932 |
| illness onset | 0.621643 |
|
| PFGE pattern JJPX01.0061 | 0.632796 |
| novel outbreak vehicle | 0.615057 |
| multistate outbreak | 0.537795 |
| consuming cucumbers | 0.564656 |
| Delmarva region tomatoes | 0.572278 |
| XbaI PFGE pattern | 0.537671 |
| outbreak investigations | 0.532943 |
| New York subcluster | 0.529014 |
| local health | 0.530715 |
| informational traceback | 0.603091 |
| outbreak strain | 0.59487 |
| Salmonella Saintpaul infections | 0.558433 |
| New York | 0.808183 |
| unrelated ill persons | 0.535205 |
| FoodNet Population Survey | 0.745812 |
| Eastern Shore | 0.579483 |
| additional suspected outbreak | 0.587826 |
| Salmonella enterica serotype | 0.592583 |
| cucumbers | 0.760584 |
| national molecular subtyping | 0.531782 |
| cucumber consumption | 0.557511 |
| recommendations.** Cucumbers | 0.551965 |
| product traceback evidence | 0.543277 |
| Maryland rapid response | 0.525874 |
|
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Centers for Disease Control and Prevention |
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Epidemia de heroína - Signos Vitales |
CDC Vital Signs links science, policy, and communications with the intent of communicating a call-to-action for the public. CDC Vital Signs provides the most recent, comprehensive data on key indicators of important health topics. |
| Bajo Precio | 0.317848 |
| Archivo Apple Quicktime | 0.324635 |
| Archivo RealPlayer | 0.314838 |
| adultos jóvenes | 0.317605 |
| hepatitis b | 0.316721 |
| Archivo Microsoft PowerPoint | 0.326076 |
| Archivo Adobe PDF | 0.324208 |
| Archivo Microsoft | 0.371168 |
| Archivo Microsoft Word | 0.325845 |
|
| analgésicos opioides | 0.992896 |
| Crear directrices | 0.316717 |
| largo plazo | 0.315786 |
| mayores aumentos | 0.320921 |
| Archivo Zip Comprimido | 0.32438 |
| Archivo Microsoft Excel | 0.323942 |
| pacientes adictos | 0.314739 |
| creciente epidemia | 0.319643 |
|
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