| 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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| 6700 |
Centers for Disease Control and Prevention |
Html |
en |
Influenza Vaccination Coverage Among Pregnant Women - 29States and New York City, 2009-10 Season |
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. |
| influenza vaccination coverage | 0.777597 |
| previous seasonal rates | 0.287471 |
| recommendation | 0.36247 |
| New York City | 0.342669 |
| vaccination coverage | 0.876414 |
| pregnant women | 0.800382 |
| vaccination status | 0.334672 |
| vaccination coverage levels | 0.426801 |
| vaccination rates | 0.326983 |
| provider offer | 0.609614 |
| influenza illness | 0.332991 |
| severe influenza illness | 0.329952 |
| supplemental vaccination question | 0.369376 |
| seasonal influenza | 0.399067 |
| monovalent pH1N1 vaccination | 0.383411 |
| pH1N1 vaccination reinforces | 0.382312 |
| 2009-10 influenza season | 0.330218 |
| health-care provider offer | 0.329857 |
| pH1N1 vaccination campaign | 0.426346 |
| live births | 0.556685 |
| influenza vaccine coverage | 0.348868 |
| vaccination acceptance | 0.337801 |
| H1N1 flu shot | 0.314029 |
| Indu B. Ahluwalia | 0.293027 |
|
| median state vaccination | 0.376682 |
| private sector entities | 0.291192 |
| pH1N1 vaccination | 0.534436 |
| pH1N1 vaccinations | 0.296475 |
| pH1N1 influenza vaccination | 0.702661 |
| health-care worker offer | 0.294562 |
| states | 0.310856 |
| Pregnancy Risk Assessment | 0.393772 |
| adult women | 0.301299 |
| PRAMS data | 0.341048 |
| seasonal influenza vaccine | 0.358321 |
| median percentage | 0.310409 |
| influenza season | 0.514126 |
| local influenza vaccination | 0.440899 |
| median seasonal vaccination | 0.429243 |
| PRAMS | 0.353958 |
| past influenza seasons | 0.327407 |
| influenza vaccination | 0.984805 |
| Median pH1N1 coverage | 0.314239 |
| Chronic Disease Prevention | 0.296185 |
| Median state coverage | 0.310756 |
| public health efforts | 0.291971 |
| vaccination level | 0.329868 |
| pH1N1 vaccination coverage | 0.449422 |
|
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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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| 6735 |
Centers for Disease Control and Prevention |
Html |
en |
Global Health - Ethiopia |
The Centers for Disease Control and Prevention (CDC) office in Ethiopia was established in 2001 and works closely with the Ministry of Health and other partners to maintain strong programs in training, treatment, counseling and testing, and laboratory capacity building. |
| laboratory capacity building | 0.933539 |
| endorsement | 0.219863 |
| counseling | 0.236899 |
| medical male circumcisions | 0.883287 |
| CDC office | 0.825253 |
| antiretroviral treatment | 0.547419 |
| Content source | 0.483695 |
| HHS | 0.228854 |
|
| pregnant women | 0.521271 |
| FY | 0.240129 |
| non-federal site | 0.544478 |
| partners | 0.237218 |
| provision | 0.312616 |
| HIV testing | 0.508288 |
| Download Overview Fact | 0.860813 |
| strong programs | 0.558226 |
|
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| 8329 |
Centers for Disease Control and Prevention |
Html |
en |
Intimate Partner Violence - Violence Prevention - Injury |
null |
| Sexual Violence Survey | 0.629585 |
| Risk Factor Surveillance | 0.555457 |
| National Longitudinal Study | 0.538745 |
| National Intimate Partner | 0.597638 |
| Family Growth gathers | 0.480045 |
| health risk behaviors | 0.511457 |
| women’s health | 0.499015 |
| Disease Control | 0.489562 |
| National Violence | 0.548675 |
| Youth Risk Behavior | 0.53696 |
| population-based surveillance data | 0.507478 |
| state health departments | 0.495487 |
| health conditions | 0.472754 |
| National Institutes | 0.474088 |
| World Health Organization | 0.493441 |
| telephone health survey | 0.535287 |
| violent deaths | 0.479456 |
| Adolescent Health | 0.478457 |
| health education programs | 0.499803 |
| physical assault | 0.47462 |
| Crime Victimization Survey | 0.567843 |
| Hate Crime Statistics | 0.477489 |
| mental health survey | 0.510264 |
| National Comorbidity Study | 0.558178 |
| telephone survey | 0.470857 |
|
| violence prevention programs | 0.545524 |
| family life | 0.480134 |
| Behavioral Risk Factor | 0.551846 |
| United States | 0.742246 |
| baseline National Comorbidity | 0.496457 |
| largest national forum | 0.496055 |
| family living arrangements | 0.472807 |
| National Crime Victimization | 0.571609 |
| non-partner violence | 0.497113 |
| Pregnancy Risk Assessment | 0.552574 |
| nationally representative study | 0.471642 |
| partner violence victimization | 0.605401 |
| U.S. Virgin Islands | 0.482469 |
| health departments | 0.498128 |
| Domestic Violence | 0.498167 |
| National Survey | 0.553165 |
| Women Survey | 0.494319 |
| survey data | 0.473374 |
| criminal victimization | 0.507989 |
| various racial groups | 0.471171 |
| intimate partner violence | 0.936996 |
| Risk Behavior Surveillance | 0.537302 |
| National Violent Death | 0.514156 |
| Risk Assessment Monitoring | 0.488025 |
|
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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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| 13369 |
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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 |
|
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| 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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Centers for Disease Control and Prevention |
Html |
en |
Notes from the Field | MMWR |
The Morbidity and Mortality Weekly Report (MMWR) Series is prepared by the Centers for Disease Control and Prevention (CDC). |
| Drug Analysis Service | 0.533883 |
| drug-related overdose deaths | 0.475208 |
| health care provider | 0.418401 |
| poison control centers | 0.364721 |
| Human Services | 0.353513 |
| Canada Drug Analysis | 0.534469 |
| Surrey Memorial Hospital | 0.707703 |
| U.S. Department | 0.358481 |
| overdose events | 0.786431 |
| electronic PDF version | 0.363247 |
| Surrey Royal Canadian | 0.381051 |
| urinalysis testing kits | 0.390223 |
| intensive care unit | 0.377389 |
| health care providers | 0.401639 |
| Poison Information Centre | 0.361371 |
| Health Canada Drug | 0.54901 |
| Fraser Health Authority | 0.849329 |
| patients | 0.389639 |
| British Columbia | 0.975418 |
| quantitative fentanyl testing | 0.453941 |
| emergency department | 0.757481 |
| persons | 0.355281 |
| homeless persons | 0.321037 |
| high risk | 0.381499 |
|
| Drug Overdose Alert | 0.464173 |
| community members | 0.380114 |
| 2Surrey Memorial Hospital | 0.377928 |
| medical health officer | 0.43547 |
| original MMWR paper | 0.367413 |
| British Columbia Ambulance | 0.407535 |
| Home Naloxone program | 0.39497 |
| local hospital laboratory | 0.393751 |
| opioid overdoses | 0.395805 |
| U.S. overdose events | 0.474415 |
| crack cocaine | 0.766816 |
| British Columbia Drug | 0.415947 |
| public health emergency | 0.425037 |
| community reports | 0.323273 |
| illicit drugs | 0.506969 |
| British Columbia Centre | 0.406308 |
| fentanyl analog | 0.364597 |
| community organizations | 0.443751 |
| community partners | 0.322228 |
| small geographic area | 0.39413 |
| health warnings | 0.318513 |
| injectable naloxone | 0.38929 |
| emergency department staff | 0.423268 |
| opioid overdose events | 0.588394 |
|
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