Leveraging Data Science for Global Health / / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai.
This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Devel...
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Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020. |
Year of Publication: | 2020 |
Edition: | 1st ed. 2020. |
Language: | English |
Physical Description: | 1 online resource (XII, 475 p. 196 illus., 175 illus. in color.) |
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(CKB)4100000011363758 (DE-He213)978-3-030-47994-7 (MiAaPQ)EBC6420171 (Au-PeEL)EBL6420171 (OCoLC)1182515218 (MiAaPQ)EBC6978213 (Au-PeEL)EBL6978213 (oapen)https://directory.doabooks.org/handle/20.500.12854/30895 (PPN)260302767 (EXLCZ)994100000011363758 |
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Celi, Leo Anthony edt Leveraging Data Science for Global Health / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai. 1st ed. 2020. Springer Nature 2020 Cham : Springer International Publishing : Imprint: Springer, 2020. 1 online resource (XII, 475 p. 196 illus., 175 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Open Access Part 1: Big Data and Global Health Landscape -- Chapter 1. Strengths and Weaknesses of Big Data for Global Health Surveillance -- Chapter 2. Opportunities for Health Big Data in Africa -- Chapter 3. HealthMap and Digital Disease Surveillance -- Chapter 4. Mobility Data and Genomics for Disease Surveillance -- Part 2: Case Studies -- Chapter 5. Kumbh Mela Disease Surveillance -- Chapter 6. Using Google Mobility Data for Disaster Monitoring in Puerto Rico -- Chapter 7. StreetRx and the Opioid Epidemic -- Chapter 8. Twitter Data for Zika Virus Surveillance in Venezuela -- Chapter 9. Hepatitis E Outbreak in Namibia and Google Trends -- Chapter 10. Patient-Controlled Health Records for Non-Communicable Diseases in Humanitarian Settings -- Chapter 11. Addressing Sexual and Reproductive Health among Youth Migrants -- Chapter 12. Tanzanian cholera: epidemic or endemic? -- Chapter 13. Google Satellite Images to Predict Yellow Fever Incidence in Brazil -- Chapter 14. Feature Selection and Prediction of Treatment Failure in Tuberculosis -- Chapter 15. Tuberculosis, Refugees, and the Politics of Journalistic Objectivity: A qualitative review using HealthMap data -- Chapter 16. Designing Tools to Support the Cutaneous Leishmaniasis Trial in Colombia. This open access book explores ways to leverage information technology and machine learning to combat disease and promote health, especially in resource-constrained settings. It focuses on digital disease surveillance through the application of machine learning to non-traditional data sources. Developing countries are uniquely prone to large-scale emerging infectious disease outbreaks due to disruption of ecosystems, civil unrest, and poor healthcare infrastructure – and without comprehensive surveillance, delays in outbreak identification, resource deployment, and case management can be catastrophic. In combination with context-informed analytics, students will learn how non-traditional digital disease data sources – including news media, social media, Google Trends, and Google Street View – can fill critical knowledge gaps and help inform on-the-ground decision-making when formal surveillance systems are insufficient. Description based on publisher supplied metadata and other sources. English Health informatics. Health economics. Health Informatics. https://scigraph.springernature.com/ontologies/product-market-codes/H28009 Health Informatics. https://scigraph.springernature.com/ontologies/product-market-codes/I23060 Health Economics. https://scigraph.springernature.com/ontologies/product-market-codes/W35000 Health Informatics Health Economics Big Data Machine Learning Artificial Intelligence Digital Disease Surveillance Health Mapping Health Records for Non-Communicable Diseases HealthMap Tools for Clinical Trials Medical equipment & techniques Information technology: general issues Health & safety aspects of IT Health economics 3-030-47993-5 Celi, Leo Anthony. editor. edt http://id.loc.gov/vocabulary/relators/edt Majumder, Maimuna S. editor. edt http://id.loc.gov/vocabulary/relators/edt Ordóñez, Patricia. editor. edt http://id.loc.gov/vocabulary/relators/edt Osorio, Juan Sebastian. editor. edt http://id.loc.gov/vocabulary/relators/edt Paik, Kenneth E. editor. edt http://id.loc.gov/vocabulary/relators/edt Somai, Melek. editor. edt http://id.loc.gov/vocabulary/relators/edt |
language |
English |
format |
eBook |
author2 |
Celi, Leo Anthony. Celi, Leo Anthony. Majumder, Maimuna S. Majumder, Maimuna S. Ordóñez, Patricia. Ordóñez, Patricia. Osorio, Juan Sebastian. Osorio, Juan Sebastian. Paik, Kenneth E. Paik, Kenneth E. Somai, Melek. Somai, Melek. |
author_facet |
Celi, Leo Anthony. Celi, Leo Anthony. Majumder, Maimuna S. Majumder, Maimuna S. Ordóñez, Patricia. Ordóñez, Patricia. Osorio, Juan Sebastian. Osorio, Juan Sebastian. Paik, Kenneth E. Paik, Kenneth E. Somai, Melek. Somai, Melek. |
author2_variant |
l a c la lac l a c la lac l a c la lac m s m ms msm m s m ms msm p o po p o po j s o js jso j s o js jso k e p ke kep k e p ke kep m s ms m s ms |
author2_role |
HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn HerausgeberIn |
author_sort |
Celi, Leo Anthony. |
title |
Leveraging Data Science for Global Health / |
spellingShingle |
Leveraging Data Science for Global Health / Part 1: Big Data and Global Health Landscape -- Chapter 1. Strengths and Weaknesses of Big Data for Global Health Surveillance -- Chapter 2. Opportunities for Health Big Data in Africa -- Chapter 3. HealthMap and Digital Disease Surveillance -- Chapter 4. Mobility Data and Genomics for Disease Surveillance -- Part 2: Case Studies -- Chapter 5. Kumbh Mela Disease Surveillance -- Chapter 6. Using Google Mobility Data for Disaster Monitoring in Puerto Rico -- Chapter 7. StreetRx and the Opioid Epidemic -- Chapter 8. Twitter Data for Zika Virus Surveillance in Venezuela -- Chapter 9. Hepatitis E Outbreak in Namibia and Google Trends -- Chapter 10. Patient-Controlled Health Records for Non-Communicable Diseases in Humanitarian Settings -- Chapter 11. Addressing Sexual and Reproductive Health among Youth Migrants -- Chapter 12. Tanzanian cholera: epidemic or endemic? -- Chapter 13. Google Satellite Images to Predict Yellow Fever Incidence in Brazil -- Chapter 14. Feature Selection and Prediction of Treatment Failure in Tuberculosis -- Chapter 15. Tuberculosis, Refugees, and the Politics of Journalistic Objectivity: A qualitative review using HealthMap data -- Chapter 16. Designing Tools to Support the Cutaneous Leishmaniasis Trial in Colombia. |
title_full |
Leveraging Data Science for Global Health / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai. |
title_fullStr |
Leveraging Data Science for Global Health / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai. |
title_full_unstemmed |
Leveraging Data Science for Global Health / edited by Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai. |
title_auth |
Leveraging Data Science for Global Health / |
title_new |
Leveraging Data Science for Global Health / |
title_sort |
leveraging data science for global health / |
publisher |
Springer Nature Springer International Publishing : Imprint: Springer, |
publishDate |
2020 |
physical |
1 online resource (XII, 475 p. 196 illus., 175 illus. in color.) |
edition |
1st ed. 2020. |
contents |
Part 1: Big Data and Global Health Landscape -- Chapter 1. Strengths and Weaknesses of Big Data for Global Health Surveillance -- Chapter 2. Opportunities for Health Big Data in Africa -- Chapter 3. HealthMap and Digital Disease Surveillance -- Chapter 4. Mobility Data and Genomics for Disease Surveillance -- Part 2: Case Studies -- Chapter 5. Kumbh Mela Disease Surveillance -- Chapter 6. Using Google Mobility Data for Disaster Monitoring in Puerto Rico -- Chapter 7. StreetRx and the Opioid Epidemic -- Chapter 8. Twitter Data for Zika Virus Surveillance in Venezuela -- Chapter 9. Hepatitis E Outbreak in Namibia and Google Trends -- Chapter 10. Patient-Controlled Health Records for Non-Communicable Diseases in Humanitarian Settings -- Chapter 11. Addressing Sexual and Reproductive Health among Youth Migrants -- Chapter 12. Tanzanian cholera: epidemic or endemic? -- Chapter 13. Google Satellite Images to Predict Yellow Fever Incidence in Brazil -- Chapter 14. Feature Selection and Prediction of Treatment Failure in Tuberculosis -- Chapter 15. Tuberculosis, Refugees, and the Politics of Journalistic Objectivity: A qualitative review using HealthMap data -- Chapter 16. Designing Tools to Support the Cutaneous Leishmaniasis Trial in Colombia. |
isbn |
3-030-47994-3 3-030-47993-5 |
callnumber-first |
R - Medicine |
callnumber-subject |
R - General Medicine |
callnumber-label |
R858-859 |
callnumber-sort |
R 3858 3859.7 |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
500 - Science |
dewey-ones |
502 - Miscellany |
dewey-full |
502.85 |
dewey-sort |
3502.85 |
dewey-raw |
502.85 |
dewey-search |
502.85 |
oclc_num |
1182515218 |
work_keys_str_mv |
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status_str |
n |
ids_txt_mv |
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is_hierarchy_title |
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author2_original_writing_str_mv |
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