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Objectives: The aim of this work is to demonstrate the use of a standardized health informatics framework to generate reliable and reproducible real-world evidence from Latin America and South Asia towards characterizing coronavirus disease 2019 (COVID-19) in the Global South., Materials and Methods: Patient-level COVID-19 records collected in a patient self-reported notification system, hospital in-patient and out-patient records, and community diagnostic labs were harmonized to the Observational Medical Outcomes Partnership common data model and analyzed using a federated network analytics framework. Clinical characteristics of individuals tested for, diagnosed with or tested positive for, hospitalized with, admitted to intensive care unit with, or dying with COVID-19 were estimated., Results: Two COVID-19 databases covering 8.3 million people from Pakistan and 2.6 million people from Bahia, Brazil were analyzed. 109 504 (Pakistan) and 921 (Brazil) medical concepts were harmonized to Observational Medical Outcomes Partnership common data model. In total, 341 505 (4.1%) people in the Pakistan dataset and 1 312 832 (49.2%) people in the Brazilian dataset were tested for COVID-19 between January 1, 2020 and April 20, 2022, with a median [IQR] age of 36 [25, 76] and 38 (27, 50); 40.3% and 56.5% were female in Pakistan and Brazil, respectively. 1.2% percent individuals in the Pakistan dataset had Afghan ethnicity. In Brazil, 52.3% had mixed ethnicity. In agreement with international findings, COVID-19 outcomes were more severe in men, elderly, and those with underlying health conditions., Conclusions: COVID-19 data from 2 large countries in the Global South were harmonized and analyzed using a standardized health informatics framework developed by an international community of health informaticians. This proof-of-concept study demonstrates a potential open science framework for global knowledge mobilization and clinical translation for timely response to healthcare needs in pandemics and beyond., (© The Author(s) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association.)

Leprosy is a neglected tropical disease predominately affecting poor and marginalized populations. To test the hypothesis that poverty-alleviating policies might be associated with reduced leprosy incidence, we evaluated the association between the Brazilian Bolsa Familia (BFP) conditional cash transfer program and new leprosy case detection using linked records from 12,949,730 families in the 100 Million Brazilian Cohort (2007-2014). After propensity score matching BFP beneficiary to nonbeneficiary families, we used Mantel-Haenszel tests and Poisson regressions to estimate incidence rate ratios for new leprosy case detection and secondary endpoints related to operational classification and leprosy-associated disabilities at diagnosis. Overall, cumulative leprosy incidence was 17.4/100,000 person-years at risk (95% CI: 17.1, 17.7) and markedly higher in "priority" (high-burden) versus "nonpriority" (low-burden) municipalities (22.8/100,000 person-years at risk, 95% confidence interval (CI): 22.2, 23.3, compared with 14.3/100,000 person-years at risk, 95% CI: 14.0, 14.7). After matching, BFP participation was not associated with leprosy incidence overall (incidence rate ratio (IRR)Poisson = 0.97, 95% CI: 0.90, 1.04) but was associated with lower leprosy incidence when restricted to families living in high-burden municipalities (IRRPoisson = 0.86, 95% CI: 0.77, 0.96). In high-burden municipalities, the association was particularly pronounced for paucibacillary cases (IRRPoisson = 0.82, 95% CI: 0.68, 0.98) and cases with leprosy-associated disabilities (IRRPoisson = 0.79, 95% CI: 0.65, 0.97). These findings provide policy-relevant evidence that social policies might contribute to ongoing leprosy control efforts in high-burden communities., (© The Author(s) 2020. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health.)

Background: Rotavirus has been the leading cause of severe cases of acute diarrhoea (AD) among children worldwide; however, in the same areas, a large reduction in AD related to rotavirus has been observed after the introduction of the rotavirus vaccine. In Brazil, where there is a high rotavirus vaccine coverage, AD caused by pathogens other than rotavirus is still a frequent cause of outpatient visits and hospitalisations among children under 5 years., Methods: A hospital-based case-control study enrolled children aged 4 to 24 months admitted to 10 hospitals from all five Brazilian Regions. Cases (n=1178) were children admitted with diarrhoea who tested negative for rotavirus in a stool sample. Controls (n=2515) were children admitted without diarrhoea, frequency matched to cases by sex and age group. We estimated odds ratios using logistic regression, in a hierarchical approach according to a previously defined conceptual framework. Population-attributable fractions (PAF) were estimated for each variable, each block and for all significant variables in the latter model adjusted., Results: The factors studied accounted for 41% of the non-rotavirus AD hospital admissions and the main risk factors included lack of adequate excreta disposal (PAF=12%), untreated drinking water (PAF=11%) and a history of previous hospitalization due to AD (PAF=21%). Low socio-economic conditions, no public water supply, crowding and low weight-for-age made smaller contributions., Conclusions: These findings further our knowledge of risk factors associated with severe AD in the post-rotavirus vaccination era. We recommend further increase in coverage of basic sanitation, improvements in water quality and further expansion of primary healthcare coverage to reduce the occurrence of non-rotavirus severe diarrhoea and subsequent hospitalization of Brazilian children., (© The Author 2015. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)