| 5763 |
Centers for Disease Control and Prevention |
Html |
en |
Dipropyl ketone - NIOSH Pocket Guide to Chemical Hazards |
null |
| 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 |
|
CLICK HERE |
| 6148 |
Centers for Disease Control and Prevention |
Html |
en |
Geographic Distribution - Ticks |
Information on ticks and tickborne disease. Provided by the U.S. Centers for Disease Control and Prevention. |
| National Atlas | 0.624501 |
| Lyme disease | 0.293919 |
| USDA Agricultural Extension | 0.95699 |
| Rocky Mountain states | 0.278311 |
| regional scale | 0.626134 |
| county | 0.298092 |
| public health authority | 0.950077 |
| adult ticks | 0.42094 |
| Transmits | 0.320711 |
| Powassan disease | 0.261111 |
| Rickettsia parkeri rickettsiosis | 0.289348 |
| expected distribution | 0.257083 |
| female ticks | 0.316348 |
| brown dog tick | 0.415588 |
| pacific coast | 0.300811 |
| nymphs | 0.266796 |
| specific tick-borne disease | 0.89794 |
| transmit disease | 0.302898 |
| adult females | 0.404126 |
| different tick species | 0.333544 |
| page | 0.300716 |
| mere tick presence | 0.982912 |
| multiple factors | 0.626578 |
| larval ticks | 0.322016 |
|
| United States | 0.361551 |
| fever | 0.258802 |
| Agricultural Extension Office | 0.948734 |
| aggressive tick | 0.274442 |
| Dog ticks | 0.308475 |
| wood ticks | 0.310925 |
| PDF | 0.300753 |
| specific information | 0.591117 |
| Rocky Mountain | 0.392166 |
| human-biting ticks | 0.319571 |
| map | 0.615085 |
| disease transmission | 0.573612 |
| small rodents | 0.293294 |
| eastern United States | 0.283728 |
| Background data | 0.622144 |
| question | 0.300742 |
| Comments | 0.299836 |
| select few bite | 0.265395 |
| local public health | 0.949142 |
| upper midwestern United | 0.290226 |
| risks | 0.302959 |
| municipal level | 0.623891 |
| contiguous United States | 0.299616 |
| lone star | 0.286163 |
|
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| 6483 |
Centers for Disease Control and Prevention |
Html |
en |
Objective measurement of physical activity and sedentary behavior among US adults aged 60 years or older |
Estimates of objectively measured physical activity among older adults differ depending on the cut points used to define intensity. Our objective was to assess 1) moderate to vigorous physical activity (MVPA), exploring differences in prevalence depending on the cut point used, and 2) sedentary behavior, among US adults aged 60 years or older. |
| counts | 0.354117 |
| moderate-intensity physical activity | 0.287279 |
| cardiorespiratory fitness | 0.295837 |
| accelerometer cut points | 0.39718 |
| absolute-intensity physical activity | 0.281067 |
| Nutrition Examination Survey | 0.462848 |
| ActiGraph accelerometer | 0.323709 |
| vigorous physical activity | 0.291578 |
| cut point | 0.773675 |
| consistent MVPA | 0.312604 |
| racial/ethnic groups | 0.310799 |
| National Health | 0.338944 |
| older age groups | 0.290826 |
| available accelerometer data | 0.311345 |
| vigorous-intensity physical activity | 0.286766 |
| cut point decisions | 0.324856 |
| David M. Buchner | 0.303008 |
| group-level cut points | 0.311673 |
| optimal cut points | 0.312811 |
| relative-intensity physical activity | 0.317228 |
| counts/min | 0.278427 |
| recent accelerometer data | 0.302182 |
| NHANES physical activity | 0.294874 |
| moderate-intensity cut points | 0.312721 |
| Kelly R. Evenson | 0.300883 |
|
| age group | 0.368844 |
| accelerometer cut point | 0.387704 |
| accelerometer data | 0.386447 |
| Kimberly B. Morland | 0.299554 |
| MVPA estimates | 0.333473 |
| accelerometer | 0.402688 |
| non-Hispanic blacks | 0.294162 |
| physical activity recommendations | 0.31655 |
| small sample size | 0.282361 |
| non-Hispanic whites | 0.327175 |
| sedentary behavior | 0.507224 |
| participants | 0.408379 |
| non-Hispanic white adults | 0.2871 |
| vigorous-intensity activity | 0.278989 |
| correct cut point | 0.313955 |
| cut points | 0.656112 |
| highest cut point | 0.317715 |
| physical activity | 0.960367 |
| national physical activity | 0.283804 |
| older adults | 0.526237 |
| incomplete accelerometer data | 0.296288 |
| NHANES | 0.328725 |
| confidence interval | 0.279972 |
| MVPA | 0.607551 |
|
CLICK HERE |
| 6817 |
Centers for Disease Control and Prevention |
Html |
en |
Genital Herpes - CDC Fact Sheet |
Genital Herpes Fact Sheet from CDC. What is Herpes? How common is Herpes? How do people get Herpes? And more... |
| genital secretions | 0.404889 |
| prenatal care visits | 0.351676 |
| health care provider | 0.39406 |
| Association (ASHA) | 0.349112 |
| herpes symptoms | 0.535854 |
| American Sexual Health | 0.348647 |
| CDC National Prevention | 0.349216 |
| herpes virus | 0.539545 |
| herpes antibodies | 0.488177 |
| sex partner | 0.467312 |
| sexually active person | 0.356957 |
| oral sex | 0.446235 |
| genital herpes diagnosis | 0.563813 |
| genital herpes | 0.93459 |
| cold sores | 0.362277 |
| painful genital sores | 0.439334 |
| sexually transmitted disease | 0.359619 |
| suppressed immune systems | 0.349532 |
| oral herpes | 0.643531 |
| Research Triangle Park | 0.347801 |
| STD test results | 0.366693 |
| painful sores | 0.354895 |
| herpes sores | 0.565863 |
| visible herpes | 0.501347 |
|
| potentially deadly infection | 0.365794 |
| sex partners | 0.358953 |
| HIV-uninfected sex partner | 0.366193 |
| future sexual relationships | 0.347333 |
| P. O. Box | 0.348798 |
| smelly genital discharge | 0.418539 |
| mild symptoms | 0.352403 |
| herpes simplex virus | 0.577408 |
| genital area | 0.403212 |
| STD Clinics | 0.33654 |
| neonatal herpes | 0.497383 |
| simplex virus type | 0.403422 |
| oral herpes infection | 0.580156 |
| mutually monogamous relationship | 0.354678 |
| genital herpes infection | 0.693975 |
| visible sores | 0.34849 |
| flu-like symptoms | 0.336024 |
| partner’s mouth | 0.340667 |
| STD symptoms | 0.345818 |
| people | 0.356072 |
| Daily suppressive therapy | 0.348946 |
| healthcare provider | 0.385535 |
| oral area | 0.340643 |
| risk | 0.340531 |
|
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| 8598 |
Centers for Disease Control and Prevention |
Html |
en |
Advanced Molecular Detection (AMD) - Questions and Answers |
AMD Questions and Answers will help answer questions like what is AMD, why AMD and why now, what does AMD look like when you put it to work against disease threats, and many more |
| disease detectives | 0.532372 |
| CDC | 0.909003 |
| bioinformatics CDC | 0.575471 |
| health care treatment | 0.460257 |
| infectious disease threats | 0.499594 |
| drug-resistant microbes | 0.565747 |
| good disease detective | 0.456656 |
| similar disease threats | 0.477601 |
| rapidly evolving field | 0.458312 |
| resistant microbe sweeps | 0.477714 |
| infectious disease outbreaks | 0.522441 |
| complex infectious disease | 0.516974 |
| World Health Organization | 0.463395 |
| deadly microbes | 0.459997 |
| massive amounts | 0.532142 |
| food supply | 0.446334 |
| public health response | 0.482319 |
| genomic sequencing | 0.461305 |
| public health laboratories | 0.456759 |
| interrupt disease transmission | 0.449663 |
| national health security | 0.6963 |
| generation sequencing tools | 0.497524 |
| adequate AMD capacity | 0.47769 |
| New molecular tools | 0.504192 |
| United States | 0.49719 |
|
| health security needs | 0.47738 |
| infectious disease control | 0.502825 |
| pulse-field gel electrophoresis | 0.450746 |
| advanced computing | 0.5388 |
| important disease threats | 0.484524 |
| outbreak detection systems | 0.457353 |
| point-of-care molecular tests | 0.455694 |
| deadly health threats | 0.51372 |
| molecular detection tools | 0.497642 |
| characterize drug-resistant microbes | 0.506462 |
| killer microbes | 0.482506 |
| disease transmission | 0.458354 |
| public health | 0.754723 |
| disease threats | 0.512255 |
| polymerase chain reaction | 0.451787 |
| CDC scientists | 0.527528 |
| infectious disease laboratory | 0.495573 |
| bioinformatics experts | 0.543548 |
| shoe leather epidemiology | 0.462459 |
| infectious disease | 0.695543 |
| public health efforts | 0.482804 |
| new technologies | 0.450416 |
| public health science | 0.472584 |
| world-class microbe library | 0.460692 |
|
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| 8914 |
Centers for Disease Control and Prevention |
Html |
en |
Vaccine Information Statement: Yellow Fever - Vaccines - CDC |
Yellow Fever Vaccine Information Statement |
| immune cell function | 0.256862 |
| South America | 0.235813 |
| yellow fever | 0.919469 |
| effective insect repellent | 0.257691 |
| DiGeorge syndrome | 0.231331 |
| travel information website | 0.260463 |
| Page | 0.240079 |
| vaccination centers | 0.266879 |
| vaccine virus | 0.315172 |
| yellow fever virus | 0.443395 |
| severe allergies | 0.252248 |
| severe allergic reaction | 0.463105 |
| direct contact | 0.235719 |
| state health department | 0.25302 |
| severe problems | 0.274882 |
| yellow fever vaccine | 0.758866 |
| yellow fever area | 0.372019 |
| Life-threatening severe illness | 0.270605 |
| Current Edition Date | 0.265909 |
| single shot | 0.233261 |
| thymus disorder | 0.232168 |
| preventive measures | 0.232044 |
| flu-like symptoms | 0.239378 |
| World Health Organization | 0.257176 |
|
| yellow fever disease | 0.401944 |
| health department | 0.259343 |
| vaccine component | 0.281625 |
| certain parts | 0.233932 |
| Vaccine Adverse Event | 0.302206 |
| Mild problems | 0.230865 |
| Laboratory personnel | 0.231489 |
| VAERS website | 0.236446 |
| doctor | 0.250451 |
| infected mosquito | 0.235197 |
| booster dose | 0.260662 |
| person | 0.243277 |
| air-conditioned areas | 0.235129 |
| organ failure | 0.25922 |
| American Health Organization | 0.257135 |
| different countries | 0.232182 |
| multiple body sites | 0.260787 |
| yellow card | 0.289315 |
| previous dose | 0.232869 |
| fever vaccine requirements | 0.388001 |
| risk | 0.240004 |
| CDC travel | 0.232383 |
| International Certificate | 0.231244 |
|
CLICK HERE |
| 9159 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH A-Z Index - O |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
|
|
CLICK HERE |
| 13816 |
Centers for Disease Control and Prevention |
Html |
en |
Obesogenic Environments: Access to and Advertising of Sugar-Sweetened Beverages in Soweto, South Africa, 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. |
| food vendors | 0.416829 |
| outdoor advertising | 0.420935 |
| SSB point patterns | 0.415996 |
| frequent outdoor advertisements | 0.370698 |
| informal vendors | 0.351213 |
| beverage point patterns | 0.326659 |
| Priority Cost Effective | 0.381573 |
| square kilometer | 0.361988 |
| school point pattern | 0.38964 |
| SSB point pattern | 0.405098 |
| South Africa sell | 0.336732 |
| vendors | 0.44523 |
| obesity | 0.32196 |
| outdoor SSB advertising | 0.432658 |
| strategically positioning advertisements | 0.36072 |
| ultra-processed food | 0.322537 |
| South Africans | 0.373937 |
| food vendor | 0.322555 |
| schools | 0.389413 |
| point pattern | 0.536228 |
| South Africa | 0.929923 |
| bus stop advertisements | 0.371924 |
| Medium advertisements | 0.340421 |
| SSB branding | 0.346259 |
|
| Public Health | 0.349396 |
| frequent advertisements | 0.349614 |
| study area | 0.427455 |
| SSB advertisements | 0.807813 |
| Faculty Health Sciences | 0.382324 |
| fast food advertisements | 0.420943 |
| obesogenic environment | 0.322241 |
| South African–based study | 0.331388 |
| SSB advertising | 0.494586 |
| Health Sciences University | 0.380643 |
| point patterns | 0.537634 |
| vendor point patterns | 0.472286 |
| billboard advertisements | 0.355945 |
| large advertisements | 0.341235 |
| urban areas | 0.331901 |
| close proximity | 0.392214 |
| food | 0.444845 |
| Cost Effective Lessons | 0.384053 |
| intensity | 0.324172 |
| SSBs | 0.441868 |
| sugar-sweetened beverage | 0.327665 |
| nearest school | 0.411908 |
| inhomogeneous Poisson models | 0.360744 |
| spatial point pattern | 0.352884 |
|
CLICK HERE |
| 13828 |
Centers for Disease Control and Prevention |
Html |
en |
National Epilepsy Awareness Month - November 2015 |
Epilepsy is a brain disorder characterized by recurrent seizures; an estimated 2.9 million persons in the United States have active epilepsy (1). A seizure is a brief change in normal brain activity that changes awareness, behavior, or body movement. |
| low blood sugar | 0.914468 |
| endorsement | 0.685821 |
| brain disorder | 0.796948 |
| Human Services | 0.927021 |
| U.S. Department | 0.919952 |
| MMWR HTML versions | 0.898577 |
| emergencies | 0.63302 |
| children | 0.63088 |
| electronic PDF version | 0.889912 |
| recurrent seizures | 0.945308 |
| seizures | 0.948216 |
| injury | 0.658676 |
| changes awareness | 0.797275 |
| issue | 0.659022 |
| Additional information | 0.772825 |
| Contact GPO | 0.795531 |
| nearby objects | 0.773763 |
| normal brain activity | 0.960248 |
| commercial sources | 0.769443 |
| different types | 0.804881 |
| current prices | 0.762584 |
| persons | 0.662381 |
| original paper copy | 0.897555 |
| person | 0.875382 |
|
| difficulty breathing | 0.771104 |
| seizure | 0.983546 |
| United States | 0.97872 |
| U.S. Government Printing | 0.905454 |
| original MMWR paper | 0.893138 |
| public need | 0.782968 |
| Superintendent | 0.632396 |
| active epilepsy | 0.816364 |
| MMWR readers | 0.771242 |
| character translation | 0.761574 |
| convulsive seizure | 0.933253 |
| brief change | 0.800149 |
| floor | 0.654961 |
| behavior | 0.632987 |
| format errors | 0.761645 |
| airway | 0.63926 |
| typeset documents | 0.768367 |
| trade names | 0.769557 |
| health | 0.687702 |
| official text | 0.759705 |
| non-CDC sites | 0.765629 |
| body movement | 0.799602 |
| report | 0.630926 |
| electronic conversions | 0.757423 |
|
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| 14303 |
Centers for Disease Control and Prevention |
Html |
en |
Costs & Consequences | Million Hearts |
Heart attack and stroke can be fatal, but they can also lead to serious illness and disability. Find out the key facts. |
| heart attacks | 0.46926 |
| heart attack | 0.479636 |
| United States | 0.779027 |
| nation | 0.360617 |
| year—that | 0.329658 |
| individuals | 0.332483 |
| medical bills | 0.479109 |
| life | 0.335331 |
| fatigue | 0.337675 |
| Disease Control | 0.460149 |
| pneumonia | 0.338822 |
| heart disease | 0.96916 |
| deaths | 0.335175 |
| decreased standard | 0.488696 |
| illness | 0.335786 |
| lower respiratory diseases | 0.603671 |
| cardiovascular disease | 0.467152 |
| strokes | 0.339115 |
|
| living | 0.330735 |
| lower quality | 0.503546 |
| personal level | 0.475834 |
| emotional problems | 0.477711 |
| paralysis | 0.342513 |
| number people | 0.455387 |
| families | 0.331151 |
| accidents | 0.32986 |
| health care costs | 0.58152 |
| stroke | 0.57886 |
| real potential | 0.473823 |
| wages | 0.341172 |
| significant disability | 0.479447 |
| speech difficulties | 0.491518 |
| depression | 0.331745 |
| physical activities | 0.481636 |
| age | 0.32941 |
|
CLICK HERE |