| 4905 |
Centers for Disease Control and Prevention |
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Key Facts about Swine Influenza (Swine Flu) in Pigs |
Key Facts about Swine Influenza Swine Flu in Pigs - CDC |
| type A influenza | 0.353152 |
| influenza vaccines | 0.343701 |
| United States | 0.331058 |
| avian influenza viruses | 0.535194 |
| swine influenza | 0.93326 |
| human influenza viruses | 0.53884 |
| seasonal H3N2 viruses | 0.370284 |
| uninfected pigs | 0.27375 |
| pig populations | 0.249807 |
| swine influenza infections | 0.713932 |
| swine herds | 0.318428 |
|
| human seasonal influenza | 0.424366 |
| main influenza | 0.321707 |
| pigs | 0.622325 |
| Variant Influenza Viruses | 0.557217 |
| Swine flu viruses | 0.858868 |
| influenza viruses | 0.824914 |
| seasonal flu website | 0.327499 |
| new viruses | 0.327127 |
| late fall | 0.255518 |
| specific swine influenza | 0.500485 |
| humans | 0.246671 |
|
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| 6714 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - February 24, 2012 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| Cumulative total E. | 0.999824 |
|
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| 7722 |
Centers for Disease Control and Prevention |
Html |
en |
Notifiable Diseases and Mortality Tables - November 23, 2012 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| H. influenzae | 0.385084 |
| National Center | 0.301968 |
| cases | 0.440236 |
| CDC | 0.29449 |
| novel influenza | 0.642237 |
| Total case counts | 0.467474 |
| pandemic influenza | 0.949493 |
| measles cases | 0.341997 |
| ** Data | 0.348031 |
|
| Cumulative total E. | 0.475364 |
| Influenza Division | 0.440327 |
| 2009 pandemic | 0.765828 |
| probable cases | 0.327921 |
| Respiratory Diseases | 0.308289 |
| rubella cases | 0.310025 |
| human infection | 0.329877 |
| influenza A virus | 0.474898 |
|
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| 7762 |
Centers for Disease Control and Prevention |
Html |
en |
Errata: Vol. 61, No. 47 - Birth Rates |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| mmwrq@cdc.gov. | 0.617694 |
| endorsement | 0.502748 |
| Human Services | 0.773194 |
| assistive technology | 0.631733 |
| caption | 0.441403 |
| U.S. Department | 0.764376 |
| MMWR HTML versions | 0.736817 |
| identification | 0.432278 |
| QuickStats | 0.434804 |
| birth rate | 0.784375 |
| electronic PDF version | 0.726902 |
| e-mail | 0.472893 |
| historic lows | 0.614332 |
| Contact GPO | 0.623246 |
| commercial sources | 0.594744 |
| National Vital Statistics | 0.7778 |
| current prices | 0.582221 |
| Maternal Age Group | 0.789015 |
| original paper copy | 0.719656 |
| birth rates | 0.96742 |
| page | 0.434852 |
| Internet | 0.431879 |
| programs | 0.431686 |
| 96.5 | 0.433055 |
|
| women | 0.673007 |
| United States | 0.608543 |
| original MMWR paper | 0.728998 |
| Superintendent | 0.43628 |
| assistance | 0.437384 |
| title | 0.435163 |
| content | 0.431664 |
| MMWR readers | 0.594668 |
| character translation | 0.583297 |
| file | 0.437623 |
| Persons | 0.437766 |
| format errors | 0.600165 |
| subject line | 0.611565 |
| Health | 0.464195 |
| typeset documents | 0.592397 |
| trade names | 0.594911 |
| official text | 0.580587 |
| non-CDC sites | 0.589271 |
| References | 0.431934 |
| report | 0.435135 |
| organizations | 0.431713 |
| information | 0.437654 |
| Accommodation | 0.435192 |
| electronic conversions | 0.57953 |
|
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| 9745 |
Centers for Disease Control and Prevention |
Html |
en |
Progress Toward Global Eradication of Dracunculiasis -January 2012-June 2013 |
Persons using assistive technology might not be able to fully access information in this file. For assistance, please send e-mail to: mmwrq@cdc.gov. |
| peak transmission season | 0.497841 |
| country | 0.240608 |
| United Nations | 0.22507 |
| human cases | 0.223831 |
| global dracunculiasis eradication | 0.442517 |
| unpublished surveillance data | 0.234192 |
| global Guinea Worm | 0.282041 |
| 215 villages in January–June | 0.272954 |
| contaminated drinking water | 0.228792 |
| Mali | 0.415026 |
| worm emergence | 0.296019 |
| dracunculiasis elimination | 0.412349 |
| World Health Organization | 0.324434 |
| South Sudan | 0.877218 |
| South Sudan accounting | 0.250343 |
| dracunculiasis worldwide | 0.387014 |
| countries | 0.285988 |
| Guinea worms | 0.268966 |
| dracunculiasis eradication | 0.569313 |
| indigenous cases | 0.402992 |
| endemic dracunculiasis | 0.450265 |
| Sudan Guinea Worm | 0.306806 |
| Sharon L. Roy | 0.27244 |
| Chad | 0.240714 |
|
| D. medinensis | 0.351165 |
| coup d'etat | 0.336942 |
| Timbuktu regions | 0.249456 |
| dracunculiasis cases | 0.553678 |
| Worm Eradication Program | 0.677873 |
| endemic transmission | 0.254823 |
| Carter Center | 0.32111 |
| dracunculiasis | 0.901203 |
| drinking water | 0.473385 |
| January–June | 0.323137 |
| currently dracunculiasis-endemic countries | 0.227333 |
| cases | 0.934131 |
| villages | 0.341911 |
| dracunculiasis endemicity | 0.353572 |
| drinking water sources | 0.223323 |
| national eradication program | 0.37019 |
| Guinea Worm Eradication | 0.681466 |
| indigenous dracunculiasis cases | 0.514459 |
| World Health Assembly | 0.427206 |
| clean drinking water | 0.302406 |
| Kapoeta East County | 0.292213 |
| dracunculiasis-endemic countries | 0.282047 |
| Eradication Program operations | 0.261961 |
| Guinea worm disease | 0.440937 |
|
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| 11598 |
Centers for Disease Control and Prevention |
Html |
en |
Use of 13-Valent Pneumococcal Conjugate Vaccine and23-Valent Pneumococcal Polysaccharide Vaccine Among Adults Aged ?65Years: Recommendations of the Advisory Committee on ImmunizationPractices ACIP |
Sara Tomczyk, MSc1,2, Nancy M. Bennett, MD3,4, Charles Stoecker, PhD5, Ryan Gierke, MPH2, Matthew R. Moore, MD2, Cynthia G. |
| PCV13 Vaccine | 0.491192 |
| randomized placebo-controlled trial | 0.557221 |
| 13-valent pneumococcal conjugate | 0.463992 |
| CAPiTA trial | 0.493689 |
| Pneumococcal vaccine-naУÐ?ve persons | 0.445549 |
| pneumococcal vaccination history | 0.49587 |
| initial study dose | 0.678636 |
| pneumococcal pneumonia | 0.670403 |
| recent PPSV23 dose | 0.532608 |
| prior pneumococcal vaccination | 0.585097 |
| advisory committee | 0.527687 |
| pneumococcal conjugate vaccine | 0.606768 |
| indirect effects | 0.607582 |
| routine pcv13 | 0.514028 |
| PCV13 | 0.764993 |
| vaccine-type IPD | 0.484007 |
| IPD cases | 0.44093 |
| Vaccine Adverse Event | 0.44516 |
| acellular pertussis vaccine | 0.440398 |
| 7-valent pneumococcal conjugate | 0.452683 |
| cerebrospinal fluid leak | 0.522199 |
| current PPSV23 recommendations | 0.537099 |
| vaccine-type IPD burden | 0.475473 |
| diphtheria toxoid–containing vaccine | 0.439208 |
| pneumococcal polysaccharide vaccine | 0.50851 |
|
| single dose | 0.494522 |
| United States | 0.640791 |
| vaccine-type pneumococcal pneumonia | 0.505728 |
| adults | 0.922926 |
| community-acquired pneumonia cases | 0.514126 |
| invasive pneumococcal disease | 0.453463 |
| noninvasive pneumococcal pneumonia | 0.595644 |
| Immunization Practices | 0.484097 |
| ACIP Pneumococcal Work | 0.516315 |
| immune response | 0.59872 |
| ACIP | 0.591469 |
| current PPSV23 vaccination | 0.498367 |
| subsequent PPSV23 dose | 0.529713 |
| ACIP decision | 0.451467 |
| initial dose | 0.446118 |
| PPSV23 dose | 0.552164 |
| nonbacteremic pneumococcal pneumonia | 0.639741 |
| adverse events | 0.521413 |
| community-acquired pneumonia | 0.713344 |
| PCV13 serotypes | 0.462261 |
| ACIP recommendations | 0.497343 |
| PPSV23 | 0.756326 |
| older adults | 0.483095 |
| IPD | 0.507222 |
|
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| 12960 |
Centers for Disease Control and Prevention |
Html |
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Preventing Chronic Disease | Estimating Prevalence of Overweight or Obese Children and Adolescents in Small Geographic Areas Using Publicly Available Data - 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. |
| logistic regression model | 0.61247 |
| BMI values | 0.594907 |
| data | 0.691926 |
| publicly available data | 0.661904 |
| yearly estimates | 0.58834 |
| census tracts | 0.819433 |
| state-level prevalence estimates | 0.678322 |
| examination-based estimates data | 0.657559 |
| obese children | 0.584977 |
| reasonable estimates | 0.591183 |
| prevalence estimates | 0.879728 |
| percentage points | 0.599483 |
| Georgia Institute | 0.581756 |
| mean prevalence | 0.59771 |
| small-area estimates | 0.680203 |
| high BMI | 0.983693 |
| children | 0.779986 |
| county-level obesity estimates | 0.650141 |
| small geographic areas | 0.691894 |
| model | 0.644046 |
| childhood obesity prevalence | 0.626858 |
| small areas | 0.607989 |
| household size | 0.666764 |
| Nutrition Examination Survey | 0.604129 |
|
| obesity | 0.664937 |
| baseline estimates | 0.618578 |
| external measurement data | 0.604313 |
| census-tract prevalence estimates | 0.675368 |
| ACS 5-year estimates | 0.621109 |
| county-level estimates | 0.609028 |
| CDC’s estimates | 0.595473 |
| body mass index | 0.610035 |
| American Community Survey | 0.60601 |
| high body mass | 0.624017 |
| Census Bureau | 0.586166 |
| available small-area estimates | 0.619871 |
| median difference | 0.600873 |
| model-based estimates | 0.591422 |
| CDC estimates | 0.614474 |
| pediatric obesity | 0.606361 |
| Children’s Healthcare | 0.587537 |
| census tract | 0.586168 |
| Georgia | 0.648048 |
| BMI data | 0.620056 |
| estimated baseline prevalence | 0.616608 |
| baseline prevalence estimate | 0.611977 |
| 95th percentile | 0.594141 |
|
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| 13369 |
Centers for Disease Control and Prevention |
Html |
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Treatment | Rat-bite Fever (RBF) | CDC |
null |
| disease | 0.299141 |
| death | 0.297488 |
| health care provider | 0.978936 |
| rodents | 0.57265 |
| doctor | 0.404643 |
| symptoms | 0.311267 |
|
| rat-bite fever | 0.849731 |
| exposure | 0.521046 |
| RBF | 0.826975 |
| Penicillin | 0.431077 |
| Severe illnesses | 0.702794 |
| rats | 0.347393 |
|
CLICK HERE |
| 13515 |
Centers for Disease Control and Prevention |
Html |
en |
Announcements | Contact Lenses | CDC |
CDC - Protect Your Eyes: Healthy and Safe Contact Lens Cleaning and Use. Millions of people use contact lenses every day but lens cleaning practices can lead to eye infections. Hands should be washed before handling contact lenses and contacts should be properly cleaned, disinfected, and stored to ensure eye health and safety. Following your eye doctor’s recommendations and a few simple steps can lead to healthy daily contact lens use. |
| contact lens wearers | 0.363719 |
| CDC | 0.206444 |
| contact lens health | 0.500889 |
| important contact lens | 0.205484 |
| contact lens | 0.914301 |
| contact lens industry | 0.226251 |
| proper contact lens | 0.304661 |
| contact lenses program | 0.211695 |
| contact lens wear | 0.784994 |
| contact lenses | 0.284988 |
| contact lens habits | 0.21377 |
| contact lens tips | 0.221223 |
| lens industry representatives | 0.201981 |
| healthy contact lens | 0.679114 |
|
| contact lens behavior—such | 0.216322 |
| Healthy Contact Lenses | 0.223728 |
| Contact Lens Institute | 0.215754 |
| improper contact lens | 0.275294 |
| teenage contact lens | 0.217457 |
| Risky contact lens | 0.20387 |
| contact lens storage | 0.201032 |
| annual Contact Lens | 0.314166 |
| Halloween contact lens | 0.205159 |
| eye infections | 0.231317 |
| contact lens hygiene | 0.263015 |
| healthy habits | 0.245122 |
| care | 0.227499 |
|
CLICK HERE |
| 14499 |
Centers for Disease Control and Prevention |
Html |
en |
Agent-Based Modeling of Chronic Diseases: A Narrative Reviewand Future Research Directions |
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. |
| agent-based model | 0.841498 |
| agent-based social network | 0.647377 |
| public health intervention | 0.573283 |
| public health interventions | 0.578652 |
| myocardial infarction | 0.601631 |
| agent-based modeling software | 0.683379 |
| health outcomes | 0.580229 |
| credible agent-based models | 0.656237 |
| systems science methodologies | 0.600206 |
| agent-based models | 0.891593 |
| prevalent chronic diseases | 0.585217 |
| comprehensive agent-based models | 0.656616 |
| health care providers | 0.631706 |
| health behaviors | 0.583614 |
| obesity | 0.604401 |
| risk factors | 0.577058 |
| body mass index | 0.573617 |
| disease policy models | 0.585658 |
| agent-based modeling | 0.995808 |
| standard statistical models | 0.593345 |
| future research directions | 0.581793 |
| population health management | 0.700898 |
| chronic disease | 0.737591 |
| specific chronic health | 0.611092 |
| Markov models | 0.653876 |
|
| cardiovascular disease progression | 0.57323 |
| chronic disease prevention | 0.587443 |
| agent-based modeling template | 0.671405 |
| future agent-based models | 0.712014 |
| United States | 0.631116 |
| chronic health condition | 0.610682 |
| chronic health conditions | 0.766429 |
| agent-based modeling applications | 0.708024 |
| individual health factors | 0.573321 |
| disease progression | 0.612364 |
| heart disease | 0.581129 |
| well-designed agent-based models | 0.660737 |
| health care | 0.635366 |
| public health | 0.615874 |
| cardiovascular disease | 0.806494 |
| New York | 0.654129 |
| specific chronic diseases | 0.601734 |
| chronic disease progression | 0.597463 |
| chronic diseases | 0.834413 |
| chronic disease epidemic | 0.603112 |
| causal effects | 0.591016 |
| physical activity | 0.593994 |
| various chronic health | 0.61142 |
| health factors | 0.573819 |
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