| 4504 |
Centers for Disease Control and Prevention |
Html |
en |
CDC A-Z Index - B |
CDC A-Z Index |
| B. cepacia infection | 0.883952 |
| Microsoft PowerPoint file | 0.460495 |
| Riot Control Agents | 0.431547 |
| Virtual Healthy Schools | 0.44589 |
| Pediculus humanus corporis | 0.433051 |
| Microsoft Word file | 0.464129 |
| Risk Factor Surveillance | 0.544574 |
| Raccoon Roundworm Infection | 0.756167 |
| Clostridium botulinum Infection | 0.734009 |
| Blood Safety | 0.437783 |
| Bartonella henselae Infection | 0.792502 |
| Search Form Controls | 0.598232 |
| Bartonella quintana Infection | 0.792926 |
| (Tuberculosis Vaccine) | 0.444349 |
| Disease Control | 0.438566 |
| Balamuthia Infection | 0.776576 |
| A-Z Index | 0.822919 |
| Cat Scratch Disease | 0.451519 |
| Bacillus anthracis Infection | 0.791169 |
| Mad Cow Disease | 0.433413 |
| [Babesia Infection] | 0.795367 |
| Microsoft Excel file | 0.45915 |
| Burkholderia cepacia Infection | 0.931794 |
| Baylisascaris Infection | 0.699263 |
|
| Balantidium Infection | 0.757015 |
| Body Mass Index | 0.55611 |
| Cancer Early Detection | 0.43393 |
| Blastocystis Infection | 0.717508 |
| Contact CDC | 0.467512 |
| Search The CDC | 0.507718 |
| page options Skip | 0.478243 |
| Blood Lead Levels | 0.453419 |
| Form Controls TOPIC | 0.45223 |
| (Bacterial Vaginosis) | 0.440519 |
| different file formats | 0.461744 |
| BAM | 0.457652 |
| Bacterial Vaginosis | 0.455798 |
| Apple Quicktime file | 0.454713 |
| Family Health History | 0.529072 |
| Mycobacterium tuberculosis Infection | 0.746071 |
| Healthy Schools | 0.480093 |
| Brucella Infection | 0.710095 |
| Behavioral Risk Factor | 0.54501 |
| High Blood Pressure | 0.45513 |
| Encephalopathy (BSE) | 0.450512 |
| CDC A-Z Index | 0.674613 |
| Adobe PDF file | 0.456444 |
|
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| 4905 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
|
|
CLICK HERE |
| 8575 |
Centers for Disease Control and Prevention |
Html |
en |
PanFlu Storybook - War Stories, William L. Perry |
War Stories, The first cases of illness from the 1918 flu pandemic in the United States were reported from Fort Riley, Kansas on March 11 when an Army private became ill; complaining of fever, sore throat, and headache. Military personnel were greatly impacted by the virus and many young recruits were dead from the flu before they ever saw combat. |
| pandemic flu | 0.663051 |
| Campobello | 0.362867 |
| William Lawrence Perry | 0.796346 |
| William’s death | 0.417555 |
| train station | 0.439227 |
| flu epidemic | 0.689442 |
| livery service | 0.509432 |
| church–sponsored social gathering | 0.778504 |
|
| South Carolina | 0.863541 |
| Linda Mulvihill | 0.565778 |
| death certificate | 0.416383 |
| flu stricken soldiers | 0.974776 |
| children | 0.2198 |
| ) service. | 0.449591 |
| general store | 0.47418 |
| Lilly | 0.453934 |
|
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| 9628 |
Centers for Disease Control and Prevention |
Html |
en |
Asthma - BRFSS 2008 - Child Asthma Data - Table C3 |
BRFSS 2008 - Child Asthma Data - Table C3 |
| Puerto Rico | 0.705416 |
| data | 0.378797 |
| normal approximation | 0.700109 |
| values | 0.383402 |
| standard error | 0.682209 |
| states | 0.378521 |
| Total | 0.378982 |
| small sample size | 0.880395 |
|
| confidence interval | 0.711298 |
| sample size | 0.972891 |
| caution | 0.407617 |
| District | 0.378245 |
| binomial distribution | 0.698841 |
| DC | 0.490883 |
| estimates | 0.395655 |
|
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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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| 9912 |
Centers for Disease Control and Prevention |
Html |
en |
NIOSH Program Portfolio : Total Worker Health : Conferences |
The TWH™ Program includes an intramural component and an extramural component, comprised of four Centers of Excellence to Promote a Healthier Workforce. Both of these components conduct research on the integration of health protection and health promotion; communication of current knowledge, successful approaches, and challenges, and advocacy of the concepts and practices of total worker health to our partners and stakeholders. |
| Expert presentations | 0.246376 |
| worker health | 0.960663 |
| U.S. Workforce Symposium | 0.361219 |
| Human Services | 0.252887 |
| Georgetown University Hotel | 0.378809 |
| job stress | 0.295964 |
| Disease Control | 0.25328 |
| American Psychological Association | 0.621289 |
| exciting forum | 0.242843 |
| worldwide economic turmoil | 0.373136 |
| Westin Bonaventure Hotel | 0.409028 |
| economic aspects | 0.246556 |
| integrated work-based approaches | 0.367566 |
| Personnel Management | 0.253594 |
| informal get-togethers | 0.245019 |
| latest developments | 0.245915 |
| international leaders | 0.330554 |
| Caribe Hilton Hotel | 0.367162 |
| healthy workers | 0.328029 |
| conference topics | 0.262375 |
| Total Worker Health | 0.564448 |
| Economic Context | 0.244468 |
| national symposium | 0.337885 |
| Global Concerns | 0.352078 |
| ample evidence | 0.345059 |
|
| rigorous evaluation | 0.235988 |
| integrative approaches | 0.350844 |
| Conference Center | 0.272483 |
| preconference workshops | 0.421935 |
| Safe Work | 0.26416 |
| thirty-five co-sponsors | 0.26086 |
| academic communities | 0.337739 |
| Occupational Safety | 0.404326 |
| integrated work-based programs | 0.34644 |
| international conference | 0.375278 |
| National Institute | 0.376187 |
| improved worker health | 0.470332 |
| San Juan | 0.238907 |
| special attention | 0.242255 |
| anecdotal reports | 0.352096 |
| Numerous case studies | 0.541565 |
| New Symposium Promoting | 0.40791 |
| Eagleson Institute | 0.259401 |
| Federal Occupational Health | 0.498485 |
| Healthier Federal Workers | 0.655149 |
| occupational stress | 0.441239 |
| Occupational Health Psychology | 0.675076 |
| Veterans Affairs | 0.246597 |
| Symposium participants | 0.247959 |
|
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| 13369 |
Centers for Disease Control and Prevention |
Html |
en |
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 |
| 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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| 15651 |
Centers for Disease Control and Prevention |
Html |
en |
Zika: Advice for people in Florida |
Information on Zika virus. Provided by the U.S. Centers for Disease Control and Prevention. |
| yellow area designation | 0.591187 |
| original 1.5-square-mile area | 0.464109 |
| yellow areas | 0.520268 |
| Zika Interim Response | 0.4692 |
| CDC | 0.577417 |
| 4.5-square-mile area | 0.46444 |
| pregnancy planning | 0.528802 |
| Miami Beach sections | 0.458708 |
| mosquito-borne spread | 0.557962 |
| local transmission cases | 0.494084 |
| Zika virus | 0.959331 |
| Zika virus infection | 0.53674 |
| continental United States | 0.467962 |
| incubation periods | 0.55343 |
| possible Zika virus | 0.496789 |
| pregnant women | 0.528983 |
| state health department | 0.457091 |
| Little River | 0.496337 |
| Little River area | 0.463623 |
| Zika cautionary area | 0.476936 |
| CDC recommendations | 0.451024 |
| Miami Beach area | 0.506771 |
| North Miami Beach | 0.578089 |
| area | 0.664415 |
|
| sporadic cases | 0.470692 |
| virus infection surveillance | 0.483429 |
| Zika. Pregnant women | 0.465782 |
| Zika virus disease | 0.502279 |
| additional 1-square-mile area | 0.462005 |
| Florida health officials | 0.454373 |
| Miami-Dade County | 0.996712 |
| South Miami Beach | 0.646192 |
| Florida | 0.458737 |
| possible exposure | 0.48715 |
| 1-square-mile area | 0.482146 |
| locally transmitted cases | 0.552928 |
| Zika virus transmission | 0.840577 |
| guidance | 0.550514 |
| pregnancy planning guidance | 0.520173 |
| Miami Beach | 0.655489 |
| asymptomatic pregnant women | 0.464578 |
| red area designation | 0.502421 |
| risk | 0.453297 |
| virus transmission prevention | 0.504656 |
| travel | 0.45605 |
| new cases | 0.448665 |
| state specific guidance | 0.46885 |
|
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