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Centers for Disease Control and Prevention |
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General Information - Frequently Asked Questions (FAQs) - Lice |
Frequently Asked Questions (FAQs) about head lice, and pediculosis. |
| head lice eggs | 0.424685 |
| adult head louse | 0.385006 |
| health care provider | 0.41327 |
| live nits | 0.356554 |
| public health hazard | 0.334396 |
| adult female head | 0.381039 |
| adult louse | 0.342966 |
| human head | 0.332366 |
| Pediculus humanus capitis | 0.341759 |
| female head lice | 0.437284 |
| young head lice | 0.425044 |
| head lice infestation | 0.463693 |
| direct contact | 0.337521 |
| human hair | 0.336646 |
| state health departments | 0.333322 |
| Head lice feet | 0.425778 |
| head lice | 0.971336 |
| infested person | 0.405624 |
| head-to-head contact | 0.359552 |
| nymphs | 0.326958 |
| head lice nits | 0.528389 |
| Head lice feed | 0.454715 |
| hair hatch | 0.326793 |
| local school boards | 0.333385 |
| Adult head lice | 0.461695 |
|
| non-viable nits | 0.354546 |
| head louse | 0.403193 |
| nymph | 0.330628 |
| live head lice | 0.455116 |
| infested children | 0.333706 |
| head lice policies | 0.442885 |
| adult lice | 0.423354 |
| female head louse | 0.359327 |
| United States | 0.384955 |
| school head lice | 0.441229 |
| immature louse | 0.327161 |
| live nymph | 0.326705 |
| local health department | 0.334556 |
| dark hair | 0.326395 |
| head lice medicines | 0.427639 |
| human scalp | 0.341562 |
| human host | 0.334408 |
| health departments | 0.346982 |
| lice crawl | 0.404356 |
| health department | 0.335635 |
| secondary skin infection | 0.331248 |
| Local health departments | 0.33296 |
| hair spray droplets | 0.373448 |
| hair shaft | 0.438519 |
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Centers for Disease Control and Prevention |
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Water-related Emergencies and Outbreaks Home |
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| 3-day supply | 0.506404 |
| floods | 0.343367 |
| natural disasters | 0.905608 |
| safe water | 0.678586 |
| personal hygiene items | 0.676794 |
| droughts | 0.358291 |
| pregnant women | 0.495062 |
| general cleaning | 0.484286 |
| water supply kit | 0.711978 |
| man-made disasters | 0.598855 |
| recent history | 0.522259 |
| Severe Weather page | 0.669161 |
| water exposure | 0.565939 |
| pet | 0.360934 |
| preparedness toolkits | 0.59764 |
| feminine hygiene products | 0.685429 |
| outbreak response | 0.534505 |
| monthly update | 0.478739 |
| Emergencies | 0.341068 |
| complete list | 0.501947 |
| preparedness training | 0.589251 |
| garbage bags | 0.484203 |
| waterways | 0.339245 |
| hurricanes | 0.338747 |
| WASH | 0.338815 |
|
| Water Supply Preparation | 0.671233 |
| outbreaks | 0.343755 |
| sodium hypochlorite | 0.514082 |
| hygiene needs | 0.559833 |
| emergency water supply | 0.938068 |
| Preparedness resources | 0.589815 |
| plastic ties | 0.481639 |
| -related emergency preparedness | 0.858684 |
| email address | 0.481595 |
| chlorine bleach | 0.50318 |
| recent work | 0.480833 |
| example | 0.406335 |
| emergency situation | 0.695677 |
| personal sanitation | 0.531519 |
| hot climates | 0.502078 |
| chemical spills | 0.530949 |
| Toothbrush | 0.352499 |
| crucial public health | 0.721509 |
| 2-week supply | 0.531433 |
| emergency disinfection | 0.535925 |
| toothpaste | 0.344778 |
| unscented liquid household | 0.659514 |
| infectious disease | 0.480593 |
| gallon | 0.338851 |
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Centers for Disease Control and Prevention |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 12_0136 |
Volumen 9 — Diciembre 27, 2012. |
| Campbell VA | 0.472876 |
| salud pública | 0.696043 |
| Estados Unidos | 0.815009 |
| Armour BS | 0.510092 |
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| Chronic Dis | 0.490715 |
| Courtney-Long E | 0.486397 |
| Wethington HR | 0.494723 |
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Centers for Disease Control and Prevention |
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Extreme Heat and Your Health: Heat and Athletes |
Extreme Heat Media Toolkit |
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Centers for Disease Control and Prevention |
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Binge Drinking E-cards |
Excessive alcohol use can lead to increased risk of health problems such as injuries, violence, liver diseases, and cancer.The CDC Alcohol Program works to strengthen the scientific foundation for preventing excessive alcohol use.
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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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Centers for Disease Control and Prevention |
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Preventing Chronic Disease | Trends in Major Risk Factors for Cardiovascular Disease Among Adults in the Mississippi Delta Region, Mississippi Behavioral Risk Factor Surveillance System, 2001"2010 - CDC |
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. |
| smoking prevalence | 0.422936 |
| high school | 0.388577 |
| Mississippi Delta region | 0.415478 |
| health insurance | 0.382186 |
| self-reported high cholesterol | 0.402409 |
| significant increases | 0.415616 |
| highest prevalence | 0.376488 |
| Risk Factor Surveillance | 0.473669 |
| Mississippi Delta Health | 0.418629 |
| prevalence rates | 0.38215 |
| blacks | 0.409484 |
| significant increase | 0.398892 |
| high blood cholesterol | 0.399823 |
| health insurance status | 0.380407 |
| prevalence | 0.551066 |
| whites | 0.377633 |
| high cholesterol | 0.763952 |
| CVD risks factors | 0.390298 |
| diabetes prevalence | 0.38868 |
| prevalence trend | 0.385203 |
| Mississippi Delta adults | 0.381738 |
| heart disease | 0.403753 |
| Mississippi Delta population | 0.383292 |
| 18-county Mississippi Delta | 0.41713 |
|
| obesity prevalence | 0.418325 |
| current smoking | 0.384437 |
| obesity | 0.42867 |
| trends | 0.389603 |
| cardiovascular disease | 0.422831 |
| risk factors | 0.927485 |
| modifiable risk factors | 0.439331 |
| cardiovascular disease risk | 0.389532 |
| disease risk factors | 0.406915 |
| racial differences | 0.391892 |
| modifiable CVD risk | 0.399119 |
| physical activity | 0.396686 |
| Delta Health Collaborative | 0.398442 |
| household income | 0.37552 |
| annual percentage change | 0.387036 |
| APC | 0.435782 |
| Mississippi Delta | 0.863925 |
| high blood pressure | 0.820262 |
| Mississippi BRFSS data | 0.378625 |
| behavioral risk factor | 0.502024 |
| Mississippi State Department | 0.484938 |
| related chronic diseases | 0.37816 |
| CVD risk factors | 0.667987 |
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Centers for Disease Control and Prevention |
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Progress Toward Measles Elimination - Philippines,1998-2014 |
Yoshihiro Takashima, MD1, W. William Schluter, MD1, Kayla Mae L. Mariano1, Sergey Diorditsa, MD1, Maricel de Quiroz Castro2, Alan C. |
| supplementary immunization activities | 0.322501 |
| endemic measles virus | 0.461648 |
| school entry immunization | 0.359668 |
| measles elimination | 0.750491 |
| nationwide measles resurgence | 0.671705 |
| sustained measles virus | 0.479222 |
| immunization activities | 0.4159 |
| measles outbreaks | 0.577743 |
| Nationwide SIA coverage | 0.278489 |
| MCV1 coverage | 0.274252 |
| 6Global Immunization Division | 0.261916 |
| measles virus | 0.82939 |
| draft National Immunization | 0.2803 |
| routine immunization services | 0.408752 |
| large measles outbreaks | 0.519392 |
| outbreak response activities | 0.322589 |
| World Health Organization | 0.390966 |
| measles virus genotypes | 0.557351 |
| entry immunization check | 0.360859 |
| measles susceptibility | 0.503399 |
| coverage data | 0.269357 |
| age groups | 0.318246 |
| measles resurgence | 0.692007 |
| measles elimination strategies | 0.494558 |
| older children | 0.312191 |
|
| target age group | 0.311553 |
| measles case-based surveillance | 0.508895 |
| MCV2 coverage | 0.293338 |
| WPR Immunization | 0.262206 |
| regional measles elimination | 0.466028 |
| measles virus importations | 0.462872 |
| national coverage data | 0.267712 |
| nationwide SIAs | 0.316321 |
| MCV2 coverage data | 0.259036 |
| measles cases | 0.920312 |
| widespread measles virus | 0.480582 |
| Technical Advisory Group | 0.28178 |
| SIA target age | 0.296804 |
| outbreak response immunization | 0.404765 |
| coverage | 0.295681 |
| response immunization activities | 0.397404 |
| Measles Elimination¶¶ | 0.405693 |
| measles virus genotype | 0.490789 |
| selective immunization activities | 0.282079 |
| selective immunization activities§§ | 0.266119 |
| measles virus transmission | 0.804413 |
| case-based measles surveillance | 0.554143 |
| James L. Goodson | 0.32108 |
| National Immunization Programme | 0.386097 |
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Centers for Disease Control and Prevention |
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Tobacco Use Among Middle and High School Students - UnitedStates, 2011-2014 |
Please note: An erratum has been published for this article. To view the erratum, please click here. |
| tobacco subject | 0.330844 |
| high school-aged youth | 0.258423 |
| RenУЉ A. Arrazola | 0.307443 |
| common tobacco products | 0.378074 |
| school level | 0.257461 |
| dissolvable tobacco | 0.386903 |
| overall response rates | 0.254118 |
| overall current tobacco | 0.365601 |
| overall tobacco | 0.365146 |
| brain development | 0.299362 |
| comprehensive tobacco control | 0.437439 |
| current tobacco users | 0.368868 |
| tobacco product prices | 0.355104 |
| Benjamin J. Apelberg | 0.258018 |
| current e-cigarette | 0.290691 |
| significant nonlinear decreases | 0.254721 |
| tobacco products | 0.909898 |
| cigarettes | 0.27147 |
| Conrad J. Choiniere | 0.25828 |
| Statistically significant decreases | 0.262905 |
| current tobacco | 0.423757 |
| U.S. middle | 0.263879 |
| Tobacco prevention | 0.327616 |
| Drug Administration | 0.259379 |
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| lasting adverse consequences | 0.300015 |
| school non-Hispanic whites | 0.265392 |
| tobacco control outcome | 0.372982 |
| tobacco product constituents | 0.380629 |
| Brian A. King | 0.25934 |
| Linda J. Neff | 0.257594 |
| tobacco pipes | 0.434264 |
| tobacco product | 0.650041 |
| middle school students | 0.496856 |
| cigars | 0.264616 |
| hookahs | 0.264033 |
| high school students | 0.838816 |
| tobacco control policies | 0.414513 |
| e-cigarettes | 0.2632 |
| National Youth Tobacco | 0.389902 |
| Rebecca E. Bunnell | 0.25885 |
| national prevalence estimates | 0.255008 |
| smokeless tobacco | 0.450053 |
| overall response | 0.256868 |
| Corinne G. Husten | 0.259101 |
| Tim McAfee MD1 | 0.257853 |
| commonly used tobacco | 0.379736 |
| Ralph S. Caraballo | 0.258522 |
| Catherine G. Corey | 0.257179 |
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PrevenciÓn de cÁnceres asociados al VPH |
Cánceres asociados al virus del papiloma humano (VPH) y la vacuna contra el VPH. |
| Archivo Apple Quicktime | 0.684315 |
| Archivo RealPlayer | 0.578107 |
| Archivo Zip Comprimido | 0.679513 |
| Archivo Microsoft PowerPoint | 0.68884 |
|
| Archivo Microsoft Excel | 0.677958 |
| Archivo Adobe PDF | 0.668346 |
| Archivo Microsoft | 0.90069 |
| Archivo Microsoft Word | 0.700728 |
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Notes from the Field: Pediatric Emergency Department Visitsfor Buprenorphine/Naloxone Ingestion - United States, 2008-2015 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| dispensed buprenorphine/naloxone prescriptions | 0.603645 |
| pediatric medication ingestions | 0.51249 |
| multidose bottles | 0.741341 |
| traditional child-resistant bottles | 0.516205 |
| Injury Surveillance System-Cooperative | 0.572314 |
| Human Services | 0.526113 |
| Adverse Drug Event | 0.573489 |
| pediatric buprenorphine ingestions | 0.518737 |
| U.S. Department | 0.5239 |
| Drug Event Surveillance | 0.571813 |
| dispensed prescriptions | 0.520964 |
| young children | 0.544776 |
| unsupervised buprenorphine/naloxone ingestions | 0.532529 |
| product packaging/formulation changes | 0.493994 |
| National Electronic Injury | 0.572179 |
| Electronic Injury Surveillance | 0.570469 |
| Suboxone buprenorphine/naloxone tablets | 0.534665 |
| unit-dose packaged tablets | 0.611322 |
| Event Surveillance project | 0.484603 |
| child-resistant packaging | 0.498745 |
| Daniel S. Budnitz | 0.48441 |
| generic buprenorphine/naloxone products | 0.501101 |
| unit-dose packaged products | 0.57157 |
| office-based medication-assisted treatment | 0.50409 |
|
| pediatric buprenorphine/naloxone exposures | 0.521629 |
| Drug Evaluation | 0.489854 |
| Drug Administration | 0.489792 |
| Surveillance System-Cooperative Adverse | 0.573748 |
| ED visits | 0.979678 |
| opioid abuse epidemic | 0.506889 |
| generic buprenorphine/naloxone tablets | 0.533998 |
| buprenorphine/naloxone ingestions | 0.746554 |
| buprenorphine/naloxone tablets | 0.541022 |
| multidose child-resistant bottles | 0.530421 |
| pediatric buprenorphine/naloxone ingestions | 0.597908 |
| significantly lower rate | 0.486 |
| medication-assisted treatment divide | 0.486572 |
| IMS Health National | 0.50224 |
| unit-dose packaging | 0.857029 |
| national prescription audit | 0.65587 |
| pediatric ingestions | 0.506055 |
| packaging/formulation changes | 0.498604 |
| nationally representative estimates | 0.491795 |
| IMS Health | 0.645161 |
| Suboxone buprenorphine/naloxone film | 0.51171 |
| film strips | 0.492997 |
| System-Cooperative Adverse Drug | 0.573505 |
| unused partial doses | 0.485341 |
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