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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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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 |
| different file formats | 0.74791 |
| 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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Centers for Disease Control and Prevention |
Html |
en |
Fluorine - NIOSH Pocket Guide to Chemical Hazards |
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| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 7037 |
Centers for Disease Control and Prevention |
Html |
en |
Section 302 of the Tobacco Control Act - Study and Report |
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| tobacco products | 0.927305 |
| Comptroller General | 0.414981 |
| United States Code | 0.275763 |
| United States | 0.761038 |
| Indian country | 0.274462 |
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| collect data | 0.573308 |
| cross-border advertising | 0.400239 |
| counterfeit tobacco products | 0.374182 |
| Study. The Comptroller | 0.243627 |
| cross-border trade | 0.798282 |
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| 8048 |
Centers for Disease Control and Prevention |
Html |
en |
Environmental Health Laboratory - Program Overview |
NCEH/ATSDR Program Overviews/State Fact Sheets |
| unique laboratory science | 0.708145 |
| CDC | 0.641911 |
| advanced laboratory measurement | 0.707384 |
| U.S. white adults | 0.687692 |
| influenza vaccine dose | 0.668926 |
| early disease detection | 0.682596 |
| assess exposures | 0.632082 |
| human health | 0.648567 |
| unsafe levels | 0.618286 |
| Emergency laboratory response | 0.700875 |
| accurate diagnosis | 0.618254 |
| chemical threat agents | 0.871527 |
| Nutrition Examination Survey | 0.681263 |
| urine measurements | 0.625843 |
| comprehensive assessment | 0.699614 |
| severe combined immunodeficiency | 0.867684 |
| health care costs | 0.88149 |
| National Health | 0.637709 |
| Environmental Health Laboratory | 0.76668 |
| environmental hazards | 0.626708 |
| city public health | 0.739938 |
| quality biomonitoring exposure | 0.753376 |
| testing method | 0.617139 |
| emergency chemical exposures | 0.726413 |
| trans fats | 0.667714 |
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| U.S. state labs | 0.704447 |
| Health Threats | 0.657653 |
| newborn screening testing | 0.722754 |
| health threat | 0.649584 |
| human exposure levels | 0.716328 |
| Biomonitoring methods | 0.634856 |
| radiologic threat agents | 0.711519 |
| Power Plant radiation | 0.67112 |
| previously unknown subtype | 0.675984 |
| adverse health effects | 0.710756 |
| treatable diseases | 0.706528 |
| Urine Radionuclide Screen | 0.707273 |
| Testing methods | 0.624021 |
| proficiency testing | 0.623251 |
| chemical threat laboratory | 0.721684 |
| correct patient diagnosis | 0.683938 |
| environmental chemicals | 0.98576 |
| precise lab testing | 0.700617 |
| U.S. population | 0.690628 |
| Fukushima Daiichi Nuclear | 0.685437 |
| Accurate testing | 0.618299 |
| quality testing | 0.627207 |
| state laboratory capacity | 0.705284 |
| Rapid Toxic Screen | 0.66867 |
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| 8790 |
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 |
en |
School Located Influenza Vaccination Info | Planning |
School-Located Vaccination (SLV) - Planning for the Vaccination Clinic - CDC |
| MPEG | 0.378858 |
| search | 0.263099 |
| PDF | 0.261307 |
| PPT | 0.446092 |
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| DOC | 0.368812 |
| information | 0.262482 |
| different file formats | 0.938484 |
| page | 0.276773 |
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| 10433 |
Centers for Disease Control and Prevention |
Html |
en |
Preventing Chronic Disease | State Practitioner Insights Into Local Public Health Challenges and Opportunities in Obesity Prevention: a Qualitative Study - CDC |
The extent of obesity prevention activities conducted by local health departments (LHDs) varies widely. The purpose of this qualitative study was to characterize how state obesity prevention program directors perceived the role of LHDs in obesity prevention and factors that impact LHDs’ success in obesity prevention. |
| obesity prevention program | 0.520922 |
| LHDs | 0.466144 |
| public health practitioners | 0.385014 |
| obesity prevention programs | 0.524027 |
| LHD prevention activities | 0.398508 |
| state obesity prevention | 0.505018 |
| national public health | 0.386456 |
| obesity prevention | 0.969306 |
| obesity prevention activities | 0.493812 |
| public health systems | 0.377639 |
| Prevent Obesity | 0.394335 |
| obesity prevention efforts | 0.526952 |
| local prevention efforts | 0.417425 |
| local practitioners | 0.390777 |
| public health activities | 0.380824 |
| public health officials | 0.378496 |
| public health jurisdictions | 0.385443 |
| county-level obesity prevalence | 0.445609 |
| prevention program directors | 0.413072 |
| public health practice | 0.382392 |
| state public health | 0.389067 |
| public health response | 0.38736 |
| public health governance | 0.408163 |
| LHD success | 0.430437 |
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| robust community health | 0.379842 |
| centralized states | 0.41653 |
| environmental change | 0.459118 |
| public health effort | 0.385441 |
| high obesity prevalence | 0.42007 |
| Public Health Challenges | 0.391083 |
| evidence-informed public health | 0.377212 |
| states | 0.440498 |
| Prevention Research Center | 0.385902 |
| public health structures | 0.421924 |
| federally funded obesity | 0.450419 |
| time obesity prevalence | 0.41962 |
| state health department | 0.383955 |
| local health units | 0.440959 |
| local health departments | 0.434376 |
| public health | 0.830299 |
| public health organizations | 0.406638 |
| health governance structure | 0.397321 |
| Obesity prevention coordinators | 0.438556 |
| qualitative study | 0.381787 |
| local public health | 0.549489 |
| state-identified public health | 0.379759 |
| community health assessment | 0.409721 |
| local level | 0.406256 |
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| 15415 |
Centers for Disease Control and Prevention |
Html |
en |
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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Centers for Disease Control and Prevention |
Html |
en |
Incidence of Zika Virus Disease by Age and Sex - PuertoRico, November 1, 2015-October 20, 2016 | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| persons report symptoms | 0.229997 |
| virus disease outbreak | 0.272953 |
| health care provider | 0.229691 |
| higher reported incidence | 0.242775 |
| pregnant women | 0.255762 |
| El Salvador | 0.242999 |
| probable Zika virus | 0.298454 |
| nonpregnant females | 0.233222 |
| health care facility | 0.233664 |
| differential disease rates | 0.240376 |
| age groups females | 0.242199 |
| Puerto Rico population | 0.249772 |
| Zika virus disease | 0.961527 |
| males | 0.255408 |
| age groups | 0.301941 |
| older age groups | 0.231814 |
| persons | 0.277053 |
| avoidance behaviors | 0.246367 |
| public health practice | 0.23209 |
| Zika virus transmission | 0.273752 |
| dengue virus IgM | 0.268557 |
| virus-infected pregnant women | 0.233072 |
| nonpregnant persons | 0.253951 |
| women | 0.303008 |
| Puerto Rico | 0.621814 |
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| age group | 0.257331 |
| presumptive Zika virus | 0.358373 |
| Zika virus infection | 0.444601 |
| Puerto Rico Department | 0.295284 |
| symptomatic Zika virus | 0.285964 |
| overall estimated incidence | 0.236193 |
| virus disease incidence | 0.313455 |
| health care workers | 0.230926 |
| health care | 0.255991 |
| Zika virus infections | 0.275906 |
| virus disease cases | 0.599528 |
| sexual transmission | 0.307129 |
| positive Zika virus | 0.28499 |
| females | 0.280537 |
| chikungunya virus infection | 0.278218 |
| health | 0.259027 |
| certain age groups | 0.230313 |
| medical care | 0.274658 |
| presumptive cases | 0.236549 |
| clinically suspected Zika | 0.251378 |
| highest incidence | 0.237251 |
| congenitally acquired Zika | 0.237243 |
| female Zika virus | 0.279835 |
| nonpregnant Zika virus | 0.27978 |
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