| 6133 |
Centers for Disease Control and Prevention |
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Distracted Driving in the United States and Europe | CDC Features |
New CDC study shows higher percentage of U.S. drivers distracted behind the wheel compared to several European countries. |
| positive example | 0.399785 |
| brakes | 0.244835 |
| CDC study | 0.422376 |
| GDL | 0.245558 |
| makes crashes | 0.498526 |
| problem | 0.244197 |
| safe driver | 0.403896 |
| road | 0.351633 |
| in-vehicle technologies | 0.424206 |
| higher percentage | 0.4282 |
| laws | 0.274238 |
| family commit | 0.405142 |
| ground rules | 0.413624 |
| text messages | 0.61887 |
| text message | 0.44954 |
| family pledge | 0.403594 |
| steps | 0.244009 |
| exit | 0.246753 |
| Belgium | 0.243889 |
| Model safe behavior | 0.575977 |
| good driving habits | 0.692264 |
| Germany | 0.24386 |
| activity | 0.243135 |
| United States | 0.923733 |
| distractions | 0.247798 |
|
| cell phone | 0.946112 |
| emails | 0.28569 |
| Netherlands | 0.243839 |
| navigation systems | 0.408676 |
| car | 0.293582 |
| U.S. drivers ages | 0.613659 |
| France | 0.243874 |
| email | 0.244261 |
| main types | 0.417849 |
| one-third | 0.250916 |
| mind | 0.243323 |
| distraction-free driving | 0.594061 |
| safe driving | 0.422959 |
| texting | 0.355278 |
| United Kingdom | 0.58615 |
| European countries | 0.618954 |
| teen | 0.271845 |
| people | 0.366206 |
| young drivers | 0.404262 |
| Spain | 0.282094 |
| texts | 0.243496 |
| Driver Licensing | 0.395935 |
| distracted driver | 0.778538 |
| motor vehicle crashes | 0.655563 |
|
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| 6319 |
Centers for Disease Control and Prevention |
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Postpartum screening for diabetes among women with a history of gestational diabetes mellitus. |
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| early postpartum period | 0.472184 |
| subsequent diabetes | 0.451805 |
| diabetes referral clinic | 0.485163 |
| postpartum screening rates | 0.577367 |
| 6-week postpartum visit | 0.452608 |
| GDM | 0.470716 |
| gestational diabetes mellitus | 0.943083 |
| L. American Diabetes | 0.445552 |
| undiagnosed diabetes | 0.465127 |
| Australian postpartum women | 0.461537 |
| diabetes postpartum | 0.55082 |
| postpartum screening tests | 0.461661 |
| simulated postpartum screening | 0.47278 |
| Australian gestational diabetes | 0.476778 |
| prior gestational diabetes | 0.475562 |
| abnormal glucose tolerance | 0.442229 |
| postpartum period | 0.475023 |
| diabetes screening rates | 0.533633 |
| diabetes mellitus screening | 0.52147 |
| 3-month postpartum glucose | 0.445023 |
| postpartum glucose testing | 0.46812 |
| G. Diabetes risk | 0.45241 |
| diabetes mellitus-affected pregnancy | 0.457903 |
| women | 0.670874 |
| Diabetes Association recommend | 0.466196 |
|
| Diabetes Prevention Program | 0.477557 |
| overt diabetes mellitus | 0.506028 |
| postpartum diabetes screening | 0.671161 |
| postpartum women | 0.507473 |
| postpartum screening strategies | 0.456356 |
| postpartum glucose screening | 0.541021 |
| abnormal glucose | 0.461264 |
| recent gestational diabetes | 0.485895 |
| gestational diabetes pregnancy | 0.49301 |
| rural postpartum women | 0.443345 |
| total diabetes prevalence | 0.477026 |
| glucose tolerance | 0.577464 |
| Canadian diabetes referral | 0.456888 |
| postpartum Papanicolaou screening | 0.479089 |
| postpartum glucose tolerance | 0.462682 |
| postpartum glycemic screening | 0.480122 |
| Diabetes Res Clin | 0.519285 |
| Diabetes Care | 0.638018 |
| Diabetes Obes Metab | 0.447466 |
| early postpartum screening | 0.478824 |
| et al | 0.490076 |
| American Diabetes Association | 0.573443 |
| postpartum screening | 0.777525 |
| Australian Diabetes | 0.45376 |
|
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| 6988 |
Centers for Disease Control and Prevention |
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Global Health - Zambia |
The Centers for Disease Control and Prevention (CDC)/ Division of Global HIV/AIDS Zambia office was launched in December 2000 and has worked with the Government of the Republic of Zambia (GRZ) ministries and provincial health offices to support the national strategy to combat HIV/AIDS. |
| MOH staff capacity | 0.86878 |
| HIV prevention | 0.920877 |
| national HIV program | 0.884693 |
| Workforce development efforts | 0.759314 |
| CDC technical experts | 0.876456 |
| University Teaching Hospital | 0.747253 |
| CDC Zambia office | 0.993844 |
| HIV treatment services | 0.86582 |
| improved program performance | 0.773489 |
| voluntary medical male | 0.896585 |
| public health surveillance | 0.81901 |
| provincial health offices | 0.827853 |
| new treatment policy | 0.761179 |
| clinical training programs | 0.761427 |
| malaria-free Zambia | 0.797309 |
| cervical cancer screening | 0.755071 |
| community-based training program | 0.767453 |
| maternal health | 0.742408 |
| cervical cancer | 0.840625 |
| Public Health Initiative | 0.794977 |
| scale-up HIV prevention | 0.865167 |
| rapid diagnostic tests | 0.750278 |
| Nurse Prescriber program | 0.767888 |
| medical male circumcision | 0.903751 |
| community health promotion | 0.786145 |
|
| electronic health information | 0.809666 |
| national-level business process | 0.757407 |
| PEPFAR Zambia-supported HIV-infected | 0.760225 |
| U.S. President | 0.750962 |
| Zambia School | 0.801926 |
| National Public Health | 0.819436 |
| technical support | 0.758925 |
| health information systems | 0.93181 |
| Health Press | 0.766196 |
| health services | 0.768248 |
| National Malaria Strategic | 0.789999 |
| public health | 0.963713 |
| HIV clinical services | 0.838524 |
| Cervical Cancer Prevention | 0.783324 |
| MOH | 0.914249 |
| public health programs | 0.852471 |
| maximum health impact | 0.804264 |
| new HIV medicine | 0.826967 |
| Zambia disease surveillance | 0.876959 |
| local epidemic | 0.763192 |
| Zambia public health | 0.961677 |
| TB/ HIV service | 0.833931 |
| national program efforts | 0.809178 |
| comprehensive prevention strategy | 0.789157 |
|
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| 7170 |
Centers for Disease Control and Prevention |
Html |
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Selecting Viruses for the Seasonal Influenza Vaccine |
Selecting Viruses for the Seasonal Influenza Vaccine - CDC |
| national influenza centers | 0.382166 |
| influenza virus samples | 0.334125 |
| vaccine production | 0.489897 |
| flu vaccine production | 0.382496 |
| influenza vaccine viruses | 0.63807 |
| CDC’s Influenza | 0.296583 |
| vaccine viruses | 0.973638 |
| seasonal vaccine virus | 0.379115 |
| representative viruses | 0.315206 |
| upcoming flu season | 0.230109 |
| seasonal influenza vaccine | 0.507656 |
| candidate vaccine virus | 0.38176 |
| Flu viruses | 0.360229 |
| key national laboratories | 0.262363 |
| influenza season | 0.256602 |
| vaccine virus selection | 0.496556 |
| vaccine production challenging | 0.373167 |
| upcoming season | 0.267913 |
| World Health Organization | 0.260922 |
|
| influenza vaccines | 0.310042 |
| influenza activity | 0.247373 |
| candidate vaccine viruses | 0.604451 |
| vaccine composition | 0.370146 |
| good vaccine virus | 0.471046 |
| suitable vaccine virus | 0.387059 |
| seasonal flu vaccine | 0.4115 |
| Influenza Division | 0.317636 |
| certain influenza viruses | 0.442829 |
| Collaborating Centers | 0.321705 |
| influenza viruses | 0.727922 |
| available vaccine viruses | 0.58002 |
| Vaccine Effectiveness | 0.318644 |
| essential regulatory laboratories | 0.261641 |
| specific vaccine viruses | 0.554294 |
| influenza viruses research | 0.502517 |
| season’s vaccine | 0.452981 |
| Flu Vaccine Work | 0.379302 |
|
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| 9945 |
Centers for Disease Control and Prevention |
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Tribal Consultation Sessions - Tribal Support |
CDC/ATSDR Tribal Support is the primary link between CDC, the Agency for Toxic Substance and Disease Registry (ATSDR), and tribal governments. CDC/ATSDR’s tribal support activities focus on fulfilling CDC's supportive role in ensuring that American Indian/Alaska Native (AI/AN) communities receive public health services that keep them safe and healthy. |
| Government-to-government consultation | 0.46402 |
| winter | 0.326309 |
| sessions—one | 0.326435 |
| number | 0.327467 |
| tribal officials | 0.473918 |
| Atlanta | 0.326356 |
| tribal consultation sessions | 0.934084 |
| regional tribal consultation | 0.584336 |
| procedures | 0.327765 |
| inherent rights | 0.49656 |
| sovereignty | 0.343581 |
| Key components | 0.453561 |
| decisions | 0.330035 |
| designees | 0.326561 |
| Tribal Consultation Policy | 0.600377 |
| CDC staff | 0.670042 |
|
| CDC leadership | 0.691239 |
| government-to-government basis | 0.47754 |
| opportunity | 0.328316 |
| supplants | 0.328251 |
| opportunities | 0.327435 |
| annual HHS | 0.468751 |
| CDC tribal consultation | 0.794425 |
| forum | 0.329434 |
| CDC’s participation | 0.652562 |
| self-governance | 0.331829 |
| Tribal Advisory Committee | 0.584628 |
| tribal leaders | 0.69883 |
| federal trust responsibility | 0.640901 |
| Indian/Alaska Native governments | 0.674703 |
| Biannual Tribal Consultation | 0.83481 |
| representatives | 0.41781 |
|
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| 13404 |
Centers for Disease Control and Prevention |
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Smoke-Free Policies in Multiunit Housing: Smoking Behaviorand Reactions to Messaging Strategies in Support or inOpposition |
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. |
| smoke-free MUH policy | 0.422542 |
| personal smoke-free homes | 0.286729 |
| public smoke-free policies | 0.299161 |
| current smokers | 0.259911 |
| current cigarette smokers | 0.242371 |
| personal smoke-free policies | 0.352609 |
| Disease Control | 0.23558 |
| smoke-free building | 0.294121 |
| MUH complexes | 0.332391 |
| smoking status | 0.238979 |
| tobacco | 0.271396 |
| secondhand smoke | 0.236722 |
| personal smoke-free home | 0.29313 |
| smoke-free complex | 0.273593 |
| smoke-free public policies | 0.319944 |
| Global Market Insite | 0.235179 |
| private smoke-free policies | 0.30208 |
| smoke-free policy implementation | 0.278144 |
| restrictive smoke-free policies | 0.299135 |
| smoke-free home rules | 0.298781 |
| Smoke-free laws | 0.272613 |
| complete smoke-free policies | 0.30602 |
| MUH smoke-free policies | 0.39908 |
| complete MUH policies | 0.351917 |
| messages | 0.23969 |
|
| Tobacco Free Kids | 0.258991 |
| MUH smoking policies | 0.351384 |
| smoke-free home policies | 0.325794 |
| affordable MUH | 0.320678 |
| United States | 0.250062 |
| racial/ethnic minority populations | 0.251896 |
| smoke-free areas | 0.277894 |
| smoke-free muh policies | 0.973798 |
| complete policies | 0.243227 |
| smoke-free policies | 0.420042 |
| multiunit housing | 0.237859 |
| MUH residents | 0.406463 |
| individual rights | 0.263227 |
| adult MUH residents | 0.330486 |
| comprehensive smoke-free policies | 0.293192 |
| smoke-free MUH complex | 0.388328 |
| health | 0.242109 |
| smoke-free restaurants | 0.269829 |
| complete smoke-free MUH | 0.429547 |
| racial/ethnic minorities | 0.241496 |
| tobacco control policies | 0.25531 |
| Smoke-free rules | 0.27124 |
| Mellman Group | 0.240932 |
| restrictive smoke-free MUH | 0.417966 |
|
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| 13431 |
Centers for Disease Control and Prevention |
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Investigation of Childhood Lead Poisoning from ParentalTake-Home Exposure from an Electronic Scrap Recycling Facility -Ohio, 2012 |
Nick Newman, DO1; Camille Jones, MD2; Elena Page, MD3; Diana Ceballos, PhD3; Aalok Oza, MS3 (Author affiliations at end of text). |
| occupational health concern | 0.429607 |
| Department Childhood Lead | 0.513876 |
| childhood lead poisonings | 0.482797 |
| Adult Blood Lead | 0.465966 |
| sufficient evidence | 0.48495 |
| Lead Poisoning Prevention | 0.620502 |
| children | 0.494943 |
| cathode ray tubes | 0.942528 |
| elevated blls | 0.54289 |
| Cincinnati Health Department | 0.701037 |
| ТЕg/dL | 0.449625 |
| personal protective equipment | 0.489785 |
| Environmental Health Specialty | 0.526341 |
| lead poisoning | 0.786917 |
| e-scrap recycling facility | 0.432983 |
| lead paint | 0.474744 |
| take-home exposure | 0.480974 |
| employees | 0.433661 |
| lead exposure | 0.665365 |
| Poisoning Prevention Program | 0.577876 |
| Pediatric Environmental Health | 0.518333 |
| United States | 0.461753 |
| National Toxicology Program | 0.494537 |
| Health Department Childhood | 0.480602 |
|
| permissible exposure limit | 0.436413 |
| blood lead | 0.47657 |
| Occupational Safety | 0.571575 |
| hazardous exposures | 0.504229 |
| health hazard evaluation | 0.523865 |
| NIOSH health hazard | 0.496487 |
| NIOSH evaluation | 0.422887 |
| lead risk assessment | 0.57422 |
| Health Specialty Unit | 0.527527 |
| limited evidence | 0.442476 |
| Health Administration | 0.427545 |
| Hospital Pediatric Environmental | 0.498877 |
| detectable lead dust | 0.479493 |
| public health actions | 0.422854 |
| routine lead screening | 0.549092 |
| ray tubes area | 0.42435 |
| lead poisoning incident | 0.491364 |
| environmental lead exposure | 0.552583 |
| NIOSH investigators | 0.524089 |
| childhood lead poisoning | 0.728012 |
| surface lead concentrations | 0.47437 |
| Cincinnati Children | 0.446884 |
| Administration lead standard | 0.463958 |
| current occupational exposure | 0.452204 |
|
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| 13790 |
Centers for Disease Control and Prevention |
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Notes from the Field: Mycobacterium chelonae Eye InfectionsAssociated with Humidifier Use in an Outpatient LASIK Clinic -Ohio, 2015 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| County Health Department | 0.727159 |
| Eric Zgodzinski | 0.627819 |
| LASIK eye surgery | 0.834581 |
| similar humidifier systems | 0.738992 |
| control guidance states | 0.679257 |
| Zoonotic Infectious Diseases | 0.679525 |
| laboratory-confirmed M. chelonae | 0.707384 |
| dry inlet air | 0.69249 |
| eye pain | 0.706733 |
| operating room | 0.805118 |
| Larry Vasko | 0.619393 |
| American National Standards | 0.677628 |
| LASIK surgery | 0.717233 |
| CDC environmental infection | 0.728597 |
| water contamination | 0.618038 |
| air output vents | 0.690974 |
| Heather Moulton-Meissner | 0.614996 |
| vision irregularities | 0.615768 |
| water reservoir | 0.696543 |
| health care facilities | 0.701551 |
| retail humidifiers | 0.711338 |
| health care settings | 0.696809 |
| Samantha Eitniear | 0.618387 |
| Joseph F. Perz | 0.719977 |
| LASIK procedures | 0.983209 |
|
| Public Health | 0.765249 |
| United States | 0.619128 |
| 3Toledo-Lucas County Department | 0.687888 |
| reservoir style humidifiers | 0.816552 |
| Pulsed-field gel electrophoresis | 0.681177 |
| Mycobacterium chelonae | 0.618885 |
| Healthcare Quality Promotion | 0.681876 |
| centralized air handling | 0.691201 |
| internal reservoir | 0.633799 |
| Ohio Department | 0.61627 |
| Air-Conditioning Engineers/American Society | 0.677252 |
| additional LASIK clinics | 0.768237 |
| humidifier isolate | 0.672077 |
| situ keratomileusis | 0.618529 |
| TLCHD staff | 0.710012 |
| air handling units | 0.686875 |
| ventilation guidelines state | 0.67343 |
| David Grossman | 0.619301 |
| ambulatory surgery center | 0.711909 |
| M. chelonae | 0.802097 |
| Alison Laufer Halpin | 0.729482 |
| consumer-grade misting humidifier | 0.780077 |
| 2Epidemic Intelligence Service | 0.681036 |
| operating room environment | 0.688047 |
|
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Influenza School-located Vaccination (SLV): Information for Planners |
Influenza School-located Vaccination (SLV): Information for Planners - CDC |
| 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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| 16335 |
Centers for Disease Control and Prevention |
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FastStats - Illegal Drug Use |
null |
| persons | 0.616494 |
| Percent | 0.781262 |
|
| psychotherapeutic drug | 0.832058 |
|
CLICK HERE |