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National Men's Health Week | Features |
National Men’s Health Week is observed each year leading up to Father’s Day. This week is a reminder for men to take steps to be healthier, but they don’t have to do it alone! Whether it’s your husband, partner, dad, brother, son, or friend you can help support the health and safety of the men in your life. |
| mental health | 0.610069 |
| Chest pain | 0.566763 |
| healthy choices | 0.612608 |
| health conditions | 0.584354 |
| tobacco quitline | 0.585444 |
| long-term benefits | 0.589437 |
| family members | 0.574134 |
| alcohol | 0.465705 |
| sex partner | 0.580086 |
| hopelessness | 0.441613 |
| oral sex | 0.579724 |
| Certain diseases | 0.57041 |
| regular checkups | 0.599902 |
| Shortness | 0.440421 |
| different types | 0.593822 |
| family health history | 0.999894 |
| Major signs | 0.573608 |
| health problems | 0.605249 |
| healthy habits | 0.611553 |
| condom | 0.48504 |
| women | 0.466573 |
| Spanish speakers | 0.586554 |
| doctor’s visits | 0.571847 |
| heart attack | 0.938848 |
| condoms | 0.47778 |
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| fun ways | 0.597565 |
| vegetables | 0.468941 |
| life | 0.603968 |
| injury worldwide | 0.579679 |
| Zika | 0.557054 |
| National Men | 0.638904 |
| Limit foods | 0.596985 |
| fruits | 0.46891 |
| heart disease | 0.590905 |
| men | 0.87507 |
| smoking | 0.468805 |
| stress | 0.464339 |
| Regular physical activity | 0.749109 |
| chronic diseases | 0.588482 |
| emotional tension | 0.582296 |
| persistent sadness | 0.581066 |
| birth defects | 0.582727 |
| physical activity | 0.799477 |
| help | 0.46284 |
| graphic record | 0.578903 |
| discomfort | 0.528353 |
| risk | 0.472766 |
| time | 0.495149 |
| depression | 0.487034 |
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Mercury compounds [except (organo) alkyls] (as Hg) - NIOSH Pocket Guide to Chemical Hazards |
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| 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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Emergency Department Visits by Patients with Mental HealthDisorders - North Carolina, 2008-2010 |
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. |
| North Carolina | 0.676513 |
| Carolina Center | 0.445018 |
| ambulatory-care visits | 0.48552 |
| highest ED visit | 0.50982 |
| mental health | 0.594672 |
| mental health disorders | 0.531569 |
| single MHD-DC-related visit | 0.452248 |
| acute psychiatric emergencies | 0.470435 |
| State Health Svcs | 0.446478 |
| general ED visits | 0.56855 |
| Carolina Disease Event | 0.476319 |
| MHD-DC-related ED visit | 0.52617 |
| public health surveillance | 0.476159 |
| mental health services | 0.451898 |
| MHD-related ED visits | 0.551398 |
| mental health ICD-9-CM | 0.466261 |
| primary mental health | 0.458189 |
| patients | 0.452495 |
| study period | 0.443133 |
| emergency department | 0.517467 |
| MHDs | 0.470087 |
| Disease Event Tracking | 0.472681 |
| diagnostic codes | 0.54307 |
| mental health presentations | 0.447791 |
|
| North Carolina Disease | 0.478904 |
| ED disposition | 0.500374 |
| MHD diagnosis | 0.445364 |
| hospital admission | 0.469901 |
| New South Wales | 0.466105 |
| age group | 0.457903 |
| obstructive pulmonary disorder | 0.461347 |
| ED visits | 0.939872 |
| MHD diagnostic codes | 0.464944 |
| MHD-DC-related visits | 0.480395 |
| identical ICD-9-CM categorization | 0.444025 |
| log binomial regression | 0.502557 |
| Epidemiologic Collection Tool | 0.473485 |
| substance abuse | 0.454644 |
| ICD-9-CM diagnostic codes | 0.452943 |
| MHD-DC-related ED visits | 0.786955 |
| MHD-DCs | 0.454957 |
| NC DETECT | 0.535503 |
| statewide public health | 0.450327 |
| Health Informatics | 0.446573 |
| Poisson robust variances | 0.504986 |
| psychiatric diagnostic codes | 0.451553 |
| et al | 0.449198 |
| ED care | 0.510547 |
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State, Tribal, Local, & Territorial Support |
A core CDC responsibility is to help state, tribal, local, and territorial health departments prepare for emerging health threats. |
| CDC’s National | 0.444785 |
| share resources | 0.358793 |
| program track | 0.352164 |
| public health job | 0.444817 |
| territorial health departments | 0.484271 |
| public health departments | 0.813693 |
| public health accreditation | 0.506932 |
| national public health | 0.551758 |
| government-to-government consultation | 0.357676 |
| public health department | 0.437588 |
| state | 0.372169 |
| local actions | 0.359506 |
| societal costs | 0.350814 |
| childhood diseases | 0.349921 |
| public health leaders | 0.44507 |
| America’s health | 0.376776 |
| Tribal Advisory Committee | 0.404501 |
| budget challenges | 0.350331 |
| effective public health | 0.442403 |
| Improved North Carolina | 0.400296 |
| NPHII funds | 0.350773 |
| public health agencies | 0.467213 |
| core CDC responsibility | 0.473737 |
| support | 0.314146 |
| Public Health Improvement | 0.50106 |
|
| health threats | 0.501992 |
| vaccines | 0.321484 |
| real investment | 0.352006 |
| better decisions | 0.348524 |
| U.S. government | 0.357481 |
| early baby | 0.35553 |
| strong public health | 0.441382 |
| South Carolina | 0.354702 |
| Health Improvement Initiative | 0.495479 |
| health security | 0.379495 |
| parental choice | 0.354366 |
| death statistics | 0.354879 |
| public health | 0.927215 |
| clinic wait times | 0.403762 |
| Public Health Associate | 0.443006 |
| CDC partners | 0.410711 |
| CDC funds programs | 0.440883 |
| tribes | 0.317967 |
| people | 0.319087 |
| local public health | 0.583461 |
| specific example | 0.349195 |
| performance | 0.31926 |
| contract process | 0.355749 |
| health accreditation standards | 0.425974 |
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La atenciÓn para el VIH salva vidas |
CDC Signos Vitales - La atención para el VIH salva vidas |
| recetar medicamentos | 0.785202 |
| Archivo Apple Quicktime | 0.518927 |
| Archivo RealPlayer | 0.408287 |
| Archivo Microsoft PowerPoint | 0.548752 |
| Archivo Adobe PDF | 0.517499 |
| Archivo Microsoft | 0.959006 |
| receta medicamentos | 0.80392 |
|
| Archivo Microsoft Word | 0.54494 |
| Archivo Texto | 0.396157 |
| Monitoreo Médico | 0.371136 |
| Archivo Zip Comprimido | 0.515607 |
| Archivo Microsoft Excel | 0.51936 |
| Asociación Médica Estadounidense | 0.608572 |
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Ebola Virus Disease in a Humanitarian Aid Worker - New YorkCity, October 2014 |
Kari Yacisin, MD1,2, Sharon Balter, MD2, Annie Fine, MD2, Don Weiss, MD2, Joel Ackelsberg, MD2, David Prezant, MD3, Ross Wilson, MD4, David Starr, MIA2, Jennifer Rakeman, PhD2, Marisa Raphael, MPH2, Celia Quinn, MD2,5, Amita Toprani, MD2, Nancy Clark, MA2, Nathan Link, MD6, Demetre Daskalakis, MD2, Aletha Maybank, MD2, Marcelle Layton, MD2, Jay K. Varma, MD2 (Author affiliations at end of text). |
| Ebola epidemic | 0.541151 |
| oral temperature | 0.428872 |
| York State Department | 0.528111 |
| DOHMH laboratory | 0.421092 |
| worker active monitoring | 0.44569 |
| ebola virus | 0.825218 |
| Ebola cases | 0.546406 |
| New York City | 0.639913 |
| local health department | 0.437026 |
| Ebola case | 0.684368 |
| home confinement | 0.416076 |
| NYC DOHMH | 0.440197 |
| direct patient care | 0.428711 |
| daily face-to-face visit | 0.442657 |
| DOHMH investigators | 0.424652 |
| Ebola transmission | 0.524226 |
| DOHMH | 0.62283 |
| nucleic acid amplification | 0.460953 |
| Laboratory Response Network | 0.414539 |
| health care personnel | 0.518295 |
| initial health care | 0.444369 |
| health care | 0.671363 |
| New York | 0.729468 |
| Defense-developed Ebola virus | 0.580013 |
|
| York City Health | 0.434654 |
| care worker contacts | 0.431451 |
| health care worker | 0.662323 |
| personal protective equipment | 0.464481 |
| New York State | 0.529231 |
| Ebola treatment centers | 0.570807 |
| New York Emergency | 0.429645 |
| ebola virus disease | 0.678407 |
| direct active monitoring | 0.474859 |
| DOHMH staff members | 0.438458 |
| local public health | 0.427529 |
| Bellevue Hospital Center | 0.542415 |
| Public Health Preparedness | 0.426108 |
| York City Department | 0.457922 |
| Ebola patient care | 0.642047 |
| public health response | 0.538726 |
| humanitarian aid worker | 0.477179 |
| Ebola patients | 0.677464 |
| Ebola hospitals | 0.527256 |
| Ebola | 0.92208 |
| active monitoring | 0.515665 |
| Ebola preparedness | 0.541137 |
| Mental Hygiene | 0.420585 |
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Datos sobre la gastrosquisis | Defectos de nacimiento |
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| saco protector | 0.0612089 |
| Krikov S | 0.0485877 |
| Archivo Apple Quicktime | 0.0982288 |
| Archivo Adobe PDF | 0.0972753 |
| Case-control study | 0.083191 |
| Correa A | 0.0486767 |
| Carey JC | 0.0478632 |
| Archivo Microsoft | 0.253373 |
| Archivo Microsoft Word | 0.10773 |
| national birth defects | 0.95048 |
| Archivo Texto | 0.061734 |
| llamadas pruebas | 0.0498804 |
| Menor edad | 0.049298 |
| birth defects prevention | 0.995618 |
| Cleves MA | 0.0494378 |
| Birth Defects Res | 0.15063 |
| reported genitourinary | 0.0511447 |
| Archivo Microsoft Excel | 0.0999817 |
|
| Kucik JE | 0.0513417 |
| environmental risk factors | 0.0999102 |
| Bird TM | 0.0490029 |
| Botto LD | 0.05565 |
| Archivo RealPlayer | 0.0665112 |
| Feldkamp ML | 0.0513914 |
| defects prevention study | 0.940735 |
| Pediatr Surg | 0.0603725 |
| Olney RS | 0.0509997 |
| Robbins JM | 0.0492209 |
| Reefhuis J | 0.0476911 |
| Archivo Microsoft PowerPoint | 0.10886 |
| findings from | 0.052701 |
| Alverson CJ | 0.0543741 |
| Williams LJ | 0.048634 |
| Wilson A | 0.0479635 |
| Archivo Zip Comprimido | 0.098075 |
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Notes from the Field: Atypical Presentations of Hand, Foot,and Mouth Disease Caused by Coxsackievirus A6 - Minnesota,2014 |
Vicki W. Buttery, MS1; Cynthia Kenyon, MPH1; Stacey Grunewald2; M. Steven Oberste, PhD3; W. |
| zoster immune globulin | 0.941426 |
| CDC | 0.862927 |
| contagious childhood disease | 0.907697 |
| HFMD cases | 0.871193 |
| symptom onset | 0.941732 |
| Human Services | 0.884456 |
| Minnesota Department | 0.835183 |
| campus clinic | 0.817916 |
| North America | 0.810335 |
| varicella-like rash | 0.868888 |
| MMWR HTML versions | 0.891312 |
| U.S. Department | 0.878218 |
| MDH | 0.83939 |
| staff member | 0.817896 |
| mouth disease | 0.828841 |
| electronic PDF version | 0.894445 |
| Nail loss | 0.810082 |
| respiratory secretions | 0.811602 |
| mouth sores | 0.822444 |
| health care providers | 0.902626 |
| relative sparing | 0.834793 |
| open lesion | 0.831112 |
| atypical distribution | 0.812238 |
| atypical rashes | 0.823557 |
|
| Contact GPO | 0.817694 |
| throat swab specimens | 0.929061 |
| vesicle fluid | 0.809212 |
| febrile illness | 0.811954 |
| genus Enterovirus | 0.980471 |
| HFMD | 0.991181 |
| original paper copy | 0.88695 |
| college outbreak | 0.81545 |
| severe disease | 0.806069 |
| partial genome sequencing | 0.90671 |
| United States | 0.81274 |
| original MMWR paper | 0.899199 |
| U.S. Government Printing | 0.895473 |
| symptomatic child | 0.820712 |
| perineal area | 0.833327 |
| college setting | 0.81024 |
| MMWR readers | 0.808383 |
| perioral regions | 0.806049 |
| Vicki Buttery | 0.81154 |
| varicella case | 0.860882 |
| adult patients | 0.818061 |
| faculty member | 0.817972 |
| official text | 0.806011 |
| transcriptase-polymerase chain reaction | 0.917241 |
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World Down Syndrome Day | CDC Features |
In the United States, about 1 in every 700 babies is born with Down syndrome. |
| baby’s body | 0.500735 |
| great hopes | 0.484024 |
| CDC | 0.502891 |
| Alzheimer disease | 0.474034 |
| Birth Defects | 0.472582 |
| individuals | 0.359149 |
| extra copy | 0.749115 |
| health outcomes | 0.478558 |
| mother | 0.413598 |
| children | 0.385432 |
| Brighter Tomorrows | 0.494636 |
| National Center | 0.478597 |
| corner stone | 0.484485 |
| marvelous creation | 0.492663 |
| body’s instruction | 0.502592 |
| lives | 0.446625 |
| genes | 0.60372 |
| genetic condition | 0.522396 |
| chromosomes | 0.447175 |
| medical term | 0.496489 |
| blood type | 0.503229 |
| countless tests | 0.489323 |
| eye color | 0.503329 |
| common milestone | 0.487325 |
| counsel families | 0.476792 |
|
| child | 0.368026 |
| healthcare providers | 0.480359 |
| Developmental Disabilities | 0.469035 |
| Tracking | 0.358353 |
| United States | 0.489087 |
| simple beautiful joy | 0.634556 |
| babies | 0.474849 |
| extra genes | 0.594941 |
| extra chromosome | 0.587643 |
| body forms | 0.499809 |
| syndrome | 0.943945 |
| new cup | 0.485628 |
| simple smile | 0.480861 |
| baby boy | 0.484382 |
| health service | 0.477784 |
| different emotions | 0.492369 |
| United States.1 | 0.489498 |
| glorious sight | 0.485883 |
| people | 0.455302 |
| Access more stories | 0.479699 |
| little boy | 0.483119 |
| cells | 0.363092 |
| important clues | 0.484307 |
| partners | 0.358347 |
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History Bias, Study Design, and the Unfulfilled Promise of Pay-for-Performance Policies in Health Care |
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. |
| health care effectiveness | 0.540873 |
| pay-for-performance policies | 0.475931 |
| pay-for-performance policies— | 0.467254 |
| time series study | 0.444822 |
| study designs | 0.517709 |
| history bias | 0.466456 |
| health care treatment | 0.440149 |
| pay-for-performance initiatives | 0.455205 |
| health information technology | 0.454304 |
| Majumdar SR | 0.480793 |
| Engl J Med | 0.55066 |
| pioneer accountable care | 0.497469 |
| financial incentives | 0.557236 |
| largest pay-for-performance program | 0.532848 |
| Health Care Institute | 0.462133 |
| health policy | 0.50521 |
| pay-for-performance’s effects | 0.482834 |
| pay-for-performance intervention | 0.520221 |
| Ann Intern Med | 0.460323 |
| studies | 0.449034 |
| health care | 0.926666 |
| pay-for-performance program | 0.715504 |
| Kingdom’s pay-for-performance | 0.663387 |
| health care systems | 0.499909 |
|
| blood pressure | 0.473643 |
| care effectiveness research | 0.518954 |
| Hospital pay-for-performance programs | 0.513043 |
| national pay-for-performance policy | 0.554614 |
| physician pay-for-performance programs | 0.511891 |
| pay-for-performance policy | 0.688981 |
| tabular version | 0.47714 |
| United Kingdom | 0.825479 |
| accountable care organizations | 0.548922 |
| pay-for-performance | 0.73624 |
| health care policies | 0.444532 |
| observational study designs | 0.470713 |
| health care quality | 0.467336 |
| systematic review | 0.443179 |
| Affordable Care Act | 0.464292 |
| pay-for-performance programs | 0.523824 |
| quality | 0.479235 |
| policy makers | 0.534483 |
| Pilgrim Health Care | 0.459901 |
| et al | 0.600176 |
| primary care | 0.486221 |
| systematic reviews | 0.519593 |
| acute myocardial infarction | 0.522446 |
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