| 8739 |
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Preventing Chronic Disease | A Multilevel Approach to Estimating Small Area Childhood Obesity Prevalence at the Census Block-Group Level - CDC |
Traditional survey methods for obtaining nationwide small-area estimates (SAEs) of childhood obesity are costly. This study applied a geocoded national health survey in a multilevel modeling framework to estimate prevalence of childhood obesity at the census block-group level. |
| national childhood obesity | 0.520281 |
| data | 0.494418 |
| obesity rates | 0.486222 |
| obesity outcomes | 0.485909 |
| state-level prevalence estimates | 0.499441 |
| county | 0.475832 |
| childhood obesity epidemic | 0.531307 |
| model-based predicted SAEs | 0.482368 |
| block-group level estimates | 0.479554 |
| similar obesity estimates | 0.524033 |
| childhood obesity-prevalence SAEs | 0.48297 |
| small-area estimates | 0.488553 |
| children | 0.488796 |
| median household income | 0.632501 |
| obesity prevention | 0.50325 |
| state childhood obesity | 0.538125 |
| obesity risk | 0.533593 |
| block groups | 0.513613 |
| model-based saes | 0.569285 |
| childhood obesity measures | 0.539781 |
| Area Childhood Obesity | 0.543907 |
| model-based block-group estimates | 0.501983 |
| random effects | 0.538927 |
| NSCH prevalence estimates | 0.493832 |
| multilevel model | 0.522877 |
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| zip code | 0.514056 |
| multilevel model-based zip | 0.486605 |
| direct survey estimates | 0.607228 |
| observed childhood obesity | 0.518663 |
| block group | 0.536573 |
| childhood obesity SAE | 0.522737 |
| state-level childhood obesity | 0.524789 |
| state-level model-based estimates | 0.499581 |
| census block-group level | 0.484668 |
| block-group level | 0.666688 |
| childhood obesity prevalence | 0.831068 |
| Obesity Prevalence Estimates | 0.549338 |
| model-based childhood obesity | 0.632685 |
| validated obesity outcome | 0.49491 |
| NSCH child obesity | 0.502438 |
| level small-area estimates | 0.48546 |
| state-specific model-based estimates | 0.498977 |
| childhood obesity estimate | 0.5203 |
| obesity status | 0.50657 |
| model-based estimates | 0.557552 |
| level obesity prevalence | 0.516437 |
| nationwide small-area estimates | 0.482181 |
| childhood obesity | 0.949901 |
| obesity data | 0.483973 |
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Centers for Disease Control and Prevention |
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Pertussis: Letter of Guidance for Parents and Clinicians during Outbreaks |
This draft letter can be adapted during pertussis outbreaks in schools or other closed or contained settings to guide parents and clinicians during outbreaks. |
| pertussis booster shot | 0.756187 |
| insert location | 0.582502 |
| cough | 0.644337 |
| pertussis | 0.997422 |
| pertussis outbreaks | 0.748989 |
| pregnant women | 0.613984 |
| Disease Control | 0.555179 |
| school | 0.598744 |
| pertussis cases | 0.730906 |
| immune systems | 0.567484 |
| pregnant woman | 0.556756 |
| CDC website | 0.554227 |
| laboratory results | 0.55255 |
| antibiotic prophylaxis | 0.683624 |
| appropriate antibiotics | 0.564856 |
| antibiotic treatment | 0.556867 |
| patients | 0.588781 |
| following exception | 0.551757 |
| Older children | 0.551714 |
| child home | 0.618182 |
| play groups | 0.554723 |
| postexposure prophylaxis | 0.582835 |
| Word file | 0.566787 |
| draft letter | 0.563209 |
| cough onset | 0.581549 |
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| Collect nasopharyngeal swabs | 0.601102 |
| page | 0.565068 |
| insert health department | 0.631598 |
| antibiotics | 0.594477 |
| Family members | 0.557464 |
| child | 0.839237 |
| severe cough | 0.589739 |
| following people | 0.553999 |
| childhood vaccine | 0.553965 |
| vulnerable individuals | 0.555795 |
| following guidelines | 0.551484 |
| clinical decisions | 0.550964 |
| public health entity | 0.597582 |
| Dear Parent | 0.563276 |
| vaccine provider | 0.55311 |
| insert contact | 0.700276 |
| alternative diagnosis | 0.554535 |
| insert date | 0.582672 |
| doctor | 0.635812 |
| whooping cough | 0.593456 |
| School officials | 0.557874 |
| pertussis PCR | 0.699517 |
| healthcare provider | 0.562242 |
| detailed guidance | 0.562629 |
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CDC Accomplishments |
Centers for Disease Control and Prevention Accomplishments, 2009-2012 |
| Field Epidemiology Training | 0.342317 |
| meaningful successes | 0.249331 |
| CDC | 0.833919 |
| proven steps | 0.232239 |
| real-time emergency response | 0.37235 |
| non-communicable diseases | 0.258014 |
| New CDC research | 0.583128 |
| H1N1 virus | 0.228958 |
| Disease Control | 0.274538 |
| premature deaths | 0.269282 |
| health systems | 0.281781 |
| Hepatitis C. Implementation | 0.349841 |
| Americans | 0.278541 |
| seat belt laws | 0.359513 |
| Thirty-nine states | 0.248459 |
| America’s health | 0.423547 |
| CDC’s laboratories | 0.457356 |
| lowers health care | 0.438927 |
| leadership role | 0.231309 |
| public health laboratories | 0.383099 |
| health protection agency | 0.456727 |
| rapid detection | 0.25397 |
| protected people | 0.250218 |
| CDC-supported FETPs | 0.231199 |
|
| disease tracking | 0.259307 |
| ignition interlock systems | 0.365491 |
| health threats | 0.976144 |
| unique public health | 0.432547 |
| U.S. borders | 0.231996 |
| CDC data | 0.487033 |
| health security | 0.301128 |
| surveillance systems | 0.227114 |
| key health threats | 0.523956 |
| fewer schools | 0.238427 |
| child safety seat | 0.36221 |
| sugar-sweetened beverages | 0.232742 |
| school grounds | 0.230616 |
| public health | 0.644369 |
| Key campaign | 0.242083 |
| healthy school environments | 0.343381 |
| local public health | 0.410193 |
| young drivers | 0.243709 |
| low-nutrition food | 0.235391 |
| teen driving injuries | 0.344401 |
| antiviral treatment | 0.238048 |
| key role | 0.241646 |
| highly trained disease | 0.342399 |
| motor vehicle crashes | 0.627201 |
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| 13307 |
Centers for Disease Control and Prevention |
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Frequently Asked Questions | Chi Nav | CDC |
Our health and well-being are products of not only the health care we receive and the choices we make, but also the places where we live, learn, work, and play. Community health improvement (CHI) is a process to identify and address the health needs of communities |
| various CHI approaches | 0.381135 |
| Health Needs Assessments | 0.532213 |
| CHI planning efforts | 0.405997 |
| Page | 0.55602 |
| Health Improvement Navigator | 0.428127 |
| health outcomes | 0.420519 |
| County Health Rankings | 0.455184 |
| CHI Navigator site | 0.410173 |
| optimal health outcomes | 0.394545 |
| Successful CHI Efforts | 0.911376 |
| Navigator Database Sources | 0.38926 |
| CHI Efforts section | 0.495021 |
| risk factors | 0.451513 |
| health systems | 0.396513 |
| population health | 0.387841 |
| Navigator database focus | 0.384604 |
| Additional Tools | 0.412294 |
| community health | 0.618217 |
| Community Health Needs | 0.539419 |
| collaborative CHI work | 0.397747 |
| CHI Navigator Database | 0.533716 |
| five-step CHI process | 0.446726 |
| collaborative community health | 0.404784 |
| CHI key concepts | 0.40246 |
|
| tools | 0.561837 |
| Internal Revenue Service | 0.483765 |
| key concepts | 0.730298 |
| CHI efforts.Visit Additional | 0.38112 |
| CHI Navigator Tools | 0.468908 |
| public health | 0.443038 |
| triennial Community Health | 0.412861 |
| health care | 0.392093 |
| different CHI approaches | 0.380971 |
| complex health issues | 0.380078 |
| community partners | 0.383692 |
| health | 0.762173 |
| CHI process | 0.517564 |
| community health assessments | 0.403123 |
| CHI Navigator | 0.920269 |
| comprehensive CHI tools | 0.406248 |
| collaborative chi | 0.41072 |
| community health centers | 0.39407 |
| social support—increase health | 0.380736 |
| final rule | 0.384297 |
| interventions | 0.460921 |
| Navigator database links | 0.384535 |
| evidence-based interventions | 0.392093 |
| public health science | 0.390576 |
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Viral Hepatitis Resource Center |
null |
| MPEG | 0.741242 |
| site | 0.541063 |
| PDF | 0.544429 |
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Controlled Substance Prescribing Patterns - Prescription Behavior Surveillance System, Eight States, 2013 |
Leonard J. Paulozzi, MD1. |
| high rates | 0.407303 |
| data | 0.598506 |
| long-acting opioid prescriptions | 0.533467 |
| prescription drug misuse | 0.496586 |
| drug overdose | 0.372217 |
| commonly prescribed opioids | 0.385933 |
| SA opioid prescriptions | 0.503916 |
| groups opioid analgesics | 0.43545 |
| prescription drug abuse | 0.400842 |
| prescription drugs | 0.51951 |
| public health surveillance | 0.406859 |
| state | 0.649004 |
| opioid analgesic tramadol | 0.426461 |
| stimulants | 0.420942 |
| Prescription Behavior Surveillance | 0.452291 |
| benzodiazepines | 0.39633 |
| daily dosage | 0.418105 |
| Delaware | 0.417105 |
| Unintentional Injury Prevention | 0.41288 |
| LA/ER opioids | 0.409062 |
| prescription drug monitoring | 0.64559 |
| substance abuse treatment | 0.385443 |
| lowest opioid | 0.384464 |
| opioid prescribing rates | 0.787535 |
|
| PDMPs | 0.431112 |
| opioid overdose deaths | 0.408005 |
| Injury Prevention | 0.413096 |
| higher prescribing rates | 0.451144 |
| daily opioid dosage | 0.503542 |
| United States | 0.418177 |
| age group | 0.409231 |
| state Prescription Drug | 0.3946 |
| states | 0.831173 |
| West Virginia | 0.696388 |
| Monitoring Program Center | 0.427906 |
| multiple prescribers | 0.55273 |
| public health | 0.525196 |
| opioid prescriptions | 0.962322 |
| prescription drug | 0.65772 |
| state residents | 0.385825 |
| LA/ER prescriptions | 0.398166 |
| opioid analgesic category | 0.4209 |
| opioid analgesics | 0.748659 |
| LA prescriptions | 0.380878 |
| Drug Monitoring Program | 0.445186 |
| drug monitoring programs | 0.422844 |
| PBSS | 0.519419 |
| opioid prescribing occurs | 0.465381 |
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Centers for Disease Control and Prevention |
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Using Electronic Health Records to Examine Disease Risk in Small Populations: Obesity Among American Indian Children, Wisconsin, 2007-2012 |
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. |
| American Indian population | 0.582802 |
| PHINEX database | 0.634048 |
| geographic designation | 0.571821 |
| high obesity rates | 0.565094 |
| Health Data Exchange | 0.550853 |
| American Indian patients | 0.603266 |
| AMA PRA | 0.549703 |
| census block group | 0.640894 |
| Census American Community | 0.55042 |
| high school education | 0.563025 |
| non-Hispanic white populations | 0.55507 |
| Health Information Exchange | 0.556909 |
| logistic regression | 0.548318 |
| obesity prevalence | 0.562807 |
| obesity | 0.594187 |
| block group level | 0.58629 |
| body mass index | 0.568918 |
| health care quality | 0.548188 |
| insurance status | 0.547306 |
| American Indian families | 0.560116 |
| American Indians | 0.551758 |
| electronic health | 0.594404 |
| non-Hispanic white children | 0.846466 |
| Public Health Information | 0.557198 |
|
| electronic health record | 0.582933 |
| disproportionately high obesity | 0.547806 |
| health record data | 0.555632 |
| federal poverty level | 0.562026 |
| non-Hispanic white patients | 0.57879 |
| EHR data | 0.56239 |
| Health primary care | 0.547822 |
| American Indian children | 0.97036 |
| data sets | 0.557621 |
| American Indian teenagers | 0.566644 |
| American Indian data | 0.579114 |
| health care | 0.616829 |
| public health | 0.582407 |
| American Indian records | 0.576015 |
| economic hardship index | 0.595055 |
| health | 0.63727 |
| electronic health records | 0.575763 |
| Indian Health Service | 0.56184 |
| American Indian race | 0.58923 |
| American Indian populations | 0.563872 |
| American Indian members | 0.568052 |
| childhood obesity | 0.570778 |
| American Indian/Alaska Native | 0.564678 |
| economic hardship | 0.647988 |
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Carbapenem-Resistant Enterobacteriaceae Transmission inHealth Care Facilities - Wisconsin, February-May 2015 |MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| infection prevention staff | 0.582057 |
| respiratory intensive care | 0.553554 |
| clinical microbiology laboratories | 0.497516 |
| laboratory-identified CRE events | 0.65778 |
| WDPH personnel | 0.510043 |
| certain CRE | 0.56595 |
| particular CRE | 0.567383 |
| interfacility transmission events | 0.487911 |
| transmission events | 0.750014 |
| carbapenemase-producing CRE | 0.73715 |
| laboratory-based CRE surveillance | 0.7982 |
| bacterial isolates | 0.541945 |
| CRE culture | 0.594059 |
| PCR testing | 0.514892 |
| Hygiene laboratory-based CRE | 0.699709 |
| related PFGE patterns | 0.613575 |
| case fatality rates | 0.515855 |
| intensive care unit | 0.53669 |
| National Healthcare Safety | 0.481047 |
| CRE transmission | 0.911329 |
| infection prevention personnel | 0.503001 |
| public health | 0.577223 |
| polymerase chain reaction | 0.510878 |
| closely related PFGE | 0.611563 |
|
| critical access hospitals | 0.513003 |
| WSLH laboratory-based CRE | 0.685761 |
| patients | 0.563743 |
| laboratory-identified CRE | 0.700774 |
| Wisconsin State Laboratory | 0.521417 |
| infection prevention | 0.750871 |
| infection control measures | 0.532761 |
| CRE transmission events | 0.682932 |
| prevention staff members | 0.565217 |
| statewide CRE surveillance | 0.617166 |
| CRE | 0.91228 |
| health care settings | 0.62585 |
| high case fatality | 0.517504 |
| CRE infections | 0.631332 |
| southeastern Wisconsin | 0.588153 |
| isolates | 0.557668 |
| CRE surveillance program | 0.782577 |
| report laboratory-identified CRE | 0.660055 |
| pulsed-field gel electrophoresis | 0.609002 |
| health care transmission | 0.520004 |
| Healthcare Safety Network | 0.481039 |
| low CRE prevalence | 0.610314 |
| respiratory care | 0.492799 |
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Prenatal Diagnosis of Microcephaly |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
|
| Prenatal Diagnosis | 0.832183 |
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Billing Codes | Diabetes |
National Diabetes Prevention Program |
| Ronald T. Ackermann | 0.663304 |
| screening | 0.420323 |
| S11-66. doi | 0.537458 |
| Guide | 0.418501 |
| official recognition | 0.533646 |
| standardized diabetes prevention | 0.747987 |
| York State Department | 0.632734 |
| group setting—such | 0.51292 |
| navigation Skip | 0.666505 |
| identification | 0.419259 |
| CDC-recognized lifestyle change | 0.606782 |
| medical billing | 0.53255 |
| intensive programs | 0.515946 |
| York State Diabetes | 0.767957 |
| Prediabetes Testing. | 0.519805 |
| diabetes—2013 | 0.418658 |
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| list Skip | 0.667649 |
| program curriculum | 0.513191 |
| Health | 0.436193 |
| New York State | 0.822162 |
| page options Skip | 0.781543 |
| CPT code 0403T | 0.624704 |
| Ackermann RT | 0.573601 |
| NYS DPP | 0.56714 |
| permission | 0.426303 |
| medical care | 0.518483 |
| Standards | 0.418719 |
| billing codes | 0.534336 |
| NY Dept | 0.526476 |
| preventive behavior change | 0.616459 |
| intervention algorithm | 0.528869 |
| diabetes prevention program | 0.930426 |
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