Predicting CoVID-19 community mortality risk using machine learning and development of an online prognostic tool

Autor: Ashis Kumar Das, Shiba Mishra, Saji Saraswathy Gopalan

Publikováno v: PeerJ, Vol 8, p e10083 (2020)

Background The recent pandemic of CoVID-19 has emerged as a threat to global health security. There are very few prognostic models on CoVID-19 using machine learning. Objectives To predict mortality among confirmed CoVID-19 patients in South Korea us

Externí odkaz: https://doaj.org/article/9a1a05ae7f99471897a5217457259f05

Associations of acute conflict with equity in maternal healthcare: an uncontrolled before-and-after analysis of Egypt demographic and health survey data

Autor: Saji Saraswathy Gopalan, Richard Silverwood, Natasha Howard

Publikováno v: International Journal for Equity in Health, Vol 17, Iss 1, Pp 1-13 (2018)

Abstract Background Equity of usage of maternal services during conflict is considered key to reducing maternal health risks globally. However, evidence showing how conflict affects maternal care use among different population groups is minimal. This

Externí odkaz: https://doaj.org/article/2782588e9d5f4061a4bbe97cb1a47655

Prevalence and Predictors of Influenza Vaccination Among Adults with High-Risk Conditions, United States, 2019

Autor: Saji Saraswathy Gopalan, Devi Kalyan Mishra, Ashis Kumar Das

Publikováno v: Journal of Health Care and Research. 2:137-145

Introduction: Influenza could be associated with illnesses, severe complications, hospitalizations, and deaths among adults with high-risk medical conditions. Influenza vaccination reduces the risks and complications associated with influenza infecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::55fe852f19ba1c6f3e5de5c1f3a14527
https://doi.org/10.36502/2021/hcr.6199

Associations Between Acute Conflict and Maternal Care Usage in Egypt: An Uncontrolled Before-and-After Study Using Demographic and Health Survey Data

Autor: Richard J. Silverwood, Natasha Howard, Saji Saraswathy Gopalan, Omar Salman

Publikováno v: International Journal of Health Policy and Management, Vol 8, Iss 3, Pp 158-167 (2019)
International Journal of Health Policy and Management

Background: United Nations’ (UN) data indicate that conflict-affected low- and middle-income countries (LMICs) contribute considerably to global maternal deaths. Maternal care usage patterns during conflict have not been rigorously quantitatively e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::715f674534019a323847f654d4852a8d
http://www.ijhpm.com/article_3566_5c09bf35bb200da96af6340df55a2fb8.pdf

Reduced access to care among older American adults during CoVID-19 pandemic: results from a prospective cohort study

Autor: Saji Saraswathy Gopalan, Devi Kalyan Mishra, Ashis Kumar Das

BackgroundDue to preexisting conditions, older adults are at higher risk of COVID-19 related severe complications. Current evidence is limited on access to care for older adults during the COVID-19 pandemic.ObjectivesTo examine the extent of reduced

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b209b75700a1f35b166b416b2461f98
https://doi.org/10.1101/2020.11.29.20240317