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Centers for Disease Control and Prevention |
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Get Smart About Antibiotics | Fast Facts | CDC |
Facts about antibiotic use and resistance in the United States.
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Centers for Disease Control and Prevention |
Html |
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2010 Haiti Cholera Outbreak: Cholera Treatment Workshop - Case Study Answers |
CDC - Global Health |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 5000 |
Centers for Disease Control and Prevention |
Html |
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Obesity and Overweight: Childhood |
Obesity now affects 1 in 6 children and adolescents in the United States. Learn more... |
| MPEG | 0.281581 |
| United States | 0.814493 |
| adolescents | 0.288546 |
| email address | 0.742324 |
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| teen BMI calculator | 0.819964 |
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| PDF | 0.255336 |
| children | 0.380655 |
| PPT | 0.306785 |
| childhood obesity | 0.960579 |
| DOC | 0.277423 |
| health risks | 0.538871 |
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| 5101 |
Centers for Disease Control and Prevention |
Html |
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Science Clips - Monday, July 05, 2010 |
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| respondent-driven sampling surveys | 0.671178 |
| disease control research | 0.69216 |
| health information technology. | 0.69007 |
| Acute radiation syndrome | 0.671562 |
| public health challenges | 0.701951 |
| National Construction Agenda | 0.678179 |
| CDC Knowledge | 0.723767 |
| temporary certification program | 0.670016 |
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| early personal health | 0.688163 |
| new weekly digest | 0.68495 |
| field testing draft | 0.68649 |
| Exp Appl Acarol. | 0.677464 |
| Van Kerkhove MD | 0.679523 |
| Folic acid intake | 0.679248 |
| Chief Science Officer | 0.694491 |
| County Osteoarthritis Project | 0.682608 |
| child health study | 0.694798 |
| rotavirus vaccination program | 0.688538 |
| Clin Infect Dis. | 0.678051 |
| national probability sample | 0.678008 |
| child psychological problems | 0.668615 |
| Bennett NM | 0.671579 |
| Environ Health Perspect. | 0.70262 |
| Stephen B. Thacker | 0.758691 |
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| Environ Sci Technol. | 0.677436 |
| Borne Zoonotic Dis. | 0.685818 |
| Rotavirus disease burden | 0.69309 |
| Dawood FS | 0.681353 |
| folic acid | 0.711516 |
| public health | 0.736093 |
| Jun | 0.689948 |
| state physical education | 0.672619 |
| Longini Jr IM | 0.675184 |
| avian influenza virus | 0.671223 |
| Papanicolaou testing vs | 0.672884 |
| public health literature | 0.696045 |
| B. Thacker CDC | 0.792904 |
| Vaccinia virus infection | 0.669894 |
| Arnold KE | 0.676441 |
| Candida albicans group | 0.672424 |
| progressive radiographic osteoarthritis | 0.6823 |
| military smallpox vaccinee | 0.669978 |
| H1N1 influenza pandemic | 0.679632 |
| West Nile virus | 0.674086 |
| NIOSH Construction Program | 0.676598 |
| Thacker CDC Library | 0.79289 |
| vaccine stockpile design | 0.673361 |
| public health research | 0.723628 |
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| 6352 |
Centers for Disease Control and Prevention |
Html |
en |
Protect the Ones You Love - Sports Injuries |
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| right stuff | 0.64908 |
| recreation-related injuries | 0.739202 |
| sports protective equipment | 0.852975 |
| children | 0.487063 |
| school | 0.439957 |
| best protection | 0.640621 |
| elbow pads | 0.657617 |
| prevention | 0.438595 |
| good model | 0.624478 |
| helmets | 0.445793 |
| wrist guards | 0.664162 |
| emergency department | 0.659742 |
| court | 0.443204 |
| steps | 0.439978 |
| close attention | 0.626001 |
| softball | 0.438455 |
| coaches | 0.438266 |
| chances | 0.449183 |
| field | 0.443247 |
| good condition | 0.639085 |
| baseball | 0.438483 |
| volleyball | 0.438343 |
| action plan | 0.815422 |
| parents | 0.48226 |
| activity | 0.442226 |
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| positive safety messages | 0.802556 |
| child athletes | 0.627263 |
| concussion safety tips | 0.907974 |
| buckles | 0.44733 |
| ways | 0.439776 |
| helmet | 0.443698 |
| brain injury safety | 0.814668 |
| place | 0.440753 |
| right protective gear | 0.848443 |
| Poorly fitting equipment | 0.850225 |
| heat-related injuries | 0.693138 |
| padding | 0.450446 |
| soccer | 0.438511 |
| sure kids | 0.779836 |
| safe behavior | 0.616132 |
| HEADS | 0.439429 |
| Pay attention | 0.640093 |
| football | 0.438427 |
| humid environments | 0.650331 |
| recreation activities | 0.925591 |
| sports program | 0.644023 |
| lifestyle | 0.441137 |
| knee | 0.44582 |
| time—for example | 0.639559 |
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Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Smoke-Free Rules and Secondhand Smoke Exposure in Homes and Vehicles Among US Adults, 2009"2010 - CDC |
An increasing number of US states and localities have implemented comprehensive policies prohibiting tobacco smoking in all indoor areas of public places and worksites. However, private settings such as homes and vehicles remain a major source of exposure to secondhand smoke (SHS) for many people. This study assessed the prevalence and correlates of voluntary smoke-free rules and SHS exposure in homes and vehicles among US adults. |
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Centers for Disease Control and Prevention |
Html |
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CDC - Preventing Chronic Disease: Volume 9, 2012: 11_0221 |
CDC - Wide Page example description goes here |
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Centers for Disease Control and Prevention |
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World Pneumonia Day (150W x 405H) |
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Centers for Disease Control and Prevention |
Html |
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Rapid Intervention to Reduce Ebola Transmission in a RemoteVillage - Gbarpolu County, Liberia, 2014 |
David J. Blackley, DrPH1, Kim A. Lindblade, PhD2, Francis Kateh, MD3, Laura N. |
| health authorities | 0.547232 |
| Satish K. Pillai | 0.535383 |
| John C. Neatherlin | 0.535013 |
| Ebola treatment unit | 0.687226 |
| David J. Blackley | 0.647039 |
| separate Ebola introductions | 0.637435 |
| Public health interventions | 0.584184 |
| Ebola virus transmission | 0.636067 |
| bong county | 0.881921 |
| remote village | 0.561266 |
| Ebola cases | 0.623063 |
| international partners | 0.595034 |
| Ebola virus | 0.85171 |
| local health department | 0.579595 |
| probable cases | 0.547317 |
| Zoonotic Infectious Diseases | 0.586976 |
| source patient | 0.583402 |
| County community care | 0.567728 |
| village | 0.643763 |
| Bong ETU | 0.822348 |
| farmer B. Preparations | 0.549958 |
| active case finding | 0.534533 |
| family members | 0.601395 |
| county health official | 0.582658 |
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| severely ill stepmother | 0.556655 |
| National Center | 0.544095 |
| Global Health Protection | 0.549322 |
| Kim A. Lindblade | 0.532281 |
| World Health Organization | 0.668706 |
| gbarpolu county health | 0.65833 |
| previously identified cases | 0.571995 |
| Global Health | 0.552301 |
| additional Geleyansiesu residents | 0.541124 |
| local community health | 0.574542 |
| patients | 0.563335 |
| Ebola patient contacts | 0.688662 |
| county health team | 0.974199 |
| Bong County ETU | 0.651932 |
| public health response | 0.759142 |
| Gbarpolu County | 0.754071 |
| community care center | 0.701615 |
| southeastern Gbarpolu County | 0.552891 |
| quarantine center | 0.536988 |
| bong county health | 0.770052 |
| limited no-touch treatment | 0.536964 |
| Ebola | 0.907658 |
| ill Geleyansiesu residents | 0.553638 |
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Centers for Disease Control and Prevention |
Html |
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Disparities in Health Insurance Coverage and Health Status Among Farmworkers, Sonoma County, California, 2013-2014 |
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. |
| participant farmworkers | 0.451424 |
| health insurance | 0.596408 |
| Sonoma County farmworkers | 0.704464 |
| AMA PRA | 0.367422 |
| farmworkers | 0.863795 |
| health insurance status | 0.392229 |
| health outcomes | 0.408016 |
| health disparities | 0.454204 |
| preventable health disparities | 0.384047 |
| health care access | 0.42424 |
| Sonoma County adult | 0.372499 |
| fair health | 0.430786 |
| health insurance coverage | 0.377618 |
| adult farmworkers | 0.508106 |
| self-reported health | 0.416919 |
| Sonoma County adults | 0.631843 |
| undocumented immigrant farmworkers | 0.507458 |
| significant health disparities | 0.381823 |
| Health Interview Survey | 0.393756 |
| seasonal farmworkers | 0.46196 |
| adult Sonoma County | 0.402066 |
| farm work | 0.367751 |
| self-reported health status | 0.415578 |
| undocumented farmworkers | 0.457542 |
| health status | 0.427771 |
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| Workers Health Survey | 0.367067 |
| full-time farmworkers | 0.464092 |
| labor management companies | 0.407843 |
| self-rated general health | 0.391402 |
| undocumented immigrants | 0.407718 |
| Farmworker Health Survey | 0.403764 |
| Sonoma County residents | 0.408346 |
| immigration status | 0.377426 |
| County Farmworker Health | 0.415044 |
| male farmworkers | 0.489278 |
| educational attainment | 0.387709 |
| California Health Interview | 0.395271 |
| California farmworkers | 0.51419 |
| US-based health insurance | 0.50532 |
| sonoma county farmworker | 0.440547 |
| Sonoma County | 0.994838 |
| Sonoma County sample | 0.407802 |
| health care | 0.534056 |
| self-reported health outcomes | 0.384993 |
| Sonoma County population | 0.382215 |
| female farmworkers | 0.454298 |
| health | 0.676017 |
| local health care | 0.369368 |
| high blood pressure | 0.609033 |
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