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3. Development and Validation of Manually Modified and Supervised Machine Learning Clinical Assessment Algorithms for Malaria in Nigerian Children

Author

McLaughlin, Megan, primary, Pellé, Karell G., additional, Scarpino, Samuel V., additional, Giwa, Aisha, additional, Mount-Finette, Ezra, additional, Haidar, Nada, additional, Adamu, Fatima, additional, Ravi, Nirmal, additional, Thompson, Adam, additional, Heath, Barry, additional, Dittrich, Sabine, additional, and Finette, Barry, additional

Published
2022
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6. Authors’ Response

Author

Finette, Barry A., primary, McLaughlin, Megan, additional, Scarpino, Samuel V., additional, Canning, John, additional, Grunauer, Michelle, additional, Teran, Enrique, additional, Bahamonde, Marisol, additional, Quizhpe, Edy, additional, Shah, Rashed, additional, Swedberg, Eric, additional, Rahman, Kazi Asadur, additional, Khondker, Hosenera, additional, Chakma, Ituki, additional, Muhoza, Denis, additional, Seck, Awa, additional, Kabore, Assiatta, additional, Nibitanga, Salvator, additional, and Heath, Barry, additional

Published
2019
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7. Development and Initial Validation of a Frontline Health Worker mHealth Assessment Platform (MEDSINC®) for Children 2–60 Months of Age

Author

Finette, Barry A., primary, McLaughlin, Megan, additional, Scarpino, Samuel V., additional, Canning, John, additional, Grunauer, Michelle, additional, Teran, Enrique, additional, Bahamonde, Marisol, additional, Quizhpe, Edy, additional, Shah, Rashed, additional, Swedberg, Eric, additional, Rahman, Kazi Asadur, additional, Khondker, Hosneara, additional, Chakma, Ituki, additional, Muhoza, Denis, additional, Seck, Awa, additional, Kabore, Assiatta, additional, Nibitanga, Salvator, additional, and Heath, Barry, additional

Published
2019
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8. Development and Initial Validation of a Frontline Health Worker mHealth Assessment Platform (MEDSINC®) for Children 2–60 Months of Age.

Author

Finette, Barry A., McLaughlin, Megan, Scarpino, Samuel V., Canning, John, Grunauer, Michelle, Teran, Enrique, Bahamonde, Marisol, Quizhpe, Edy, Shah, Rashed, Swedberg, Eric, Rahman, Kazi Asadur, Khondker, Hosneara, Chakma, Ituki, Muhoza, Denis, Seck, Awa, Kabore, Assiatta, Nibitanga, Salvator, and Heath, Barry

Published
2019
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9. V(D)J Recombinase-Mediated Processing of Coding Junctions at Cryptic Recombination Signal Sequences in Peripheral T Cells during Human Development1

Author

Murray, Janet M., O’Neill, J. Patrick, Messier, Terri, Rivers, Jami, Walker, Vernon E., McGonagle, Brien, Trombley, Lucy, Cowell, Lindsay G., Kelsoe, Garnett, McBlane, Fraser, and Finette, Barry A.

Subjects
Gene Rearrangement, Male, Recombination, Genetic, Hypoxanthine Phosphoribosyltransferase, Adolescent, Base Sequence, Nucleotides, T-Lymphocytes, Age Factors, Infant, Newborn, Infant, Article, Fetus, Sex Factors, Genetic Code, Child, Preschool, Humans, Female, Growth and Development, Child, VDJ Recombinases
Abstract

V(D)J recombinase mediates rearrangements at immune loci and cryptic recombination signal sequences (cRSS), resulting in a variety of genomic rearrangements in normal lymphocytes and leukemic cells from children and adults. The frequency at which these rearrangements occur and their potential pathologic consequences are developmentally dependent. To gain insight into V(D)J recombinase-mediated events during human development, we investigated 265 coding junctions associated with cRSS sites at the hypoxanthine-guanine phosphoribosyltransferase (HPRT) locus in peripheral T cells from 111 children during the late stages of fetal development through early adolescence. We observed a number of specific V(D)J recombinase processing features that were both age and gender dependent. In particular, TdT-mediated nucleotide insertions varied depending on age and gender, including percentage of coding junctions containing N-nucleotide inserts, predominance of GC nucleotides, and presence of inverted repeats (Pr-nucleotides) at processed coding ends. In addition, the extent of exonucleolytic processing of coding ends was inversely related to age. We also observed a coding-partner-dependent difference in exonucleolytic processing and an age-specific difference in the subtypes of V(D)J-mediated events. We investigated these age- and gender-specific differences with recombination signal information content analysis of the cRSS sites in the human HPRT locus to gain insight into the mechanisms mediating these developmentally specific V(D)J recombinase-mediated rearrangements in humans.

Published
2006

17. Development and Initial Validation of a Frontline Health Worker mHealth Assessment Platform (MEDSINC ® ) for Children 2-60 Months of Age.

Author

Finette BA, McLaughlin M, Scarpino SV, Canning J, Grunauer M, Teran E, Bahamonde M, Quizhpe E, Shah R, Swedberg E, Rahman KA, Khondker H, Chakma I, Muhoza D, Seck A, Kabore A, Nibitanga S, and Heath B

Subjects
Algorithms, Bangladesh, Burkina Faso, Child, Preschool, Ecuador, Humans, Infant, Reproducibility of Results, Telemedicine, Child Health Services, Community Health Workers, Delivery of Health Care, Health Information Systems, Rural Health Services
Abstract

Approximately 3 million children younger than 5 years living in low- and middle-income countries (LMICs) die each year from treatable clinical conditions such as pneumonia, dehydration secondary to diarrhea, and malaria. A majority of these deaths could be prevented with early clinical assessments and appropriate therapeutic intervention. In this study, we describe the development and initial validation testing of a mobile health (mHealth) platform, MEDSINC ® , designed for frontline health workers (FLWs) to perform clinical risk assessments of children aged 2-60 months. MEDSINC is a web browser-based clinical severity assessment, triage, treatment, and follow-up recommendation platform developed with physician-based Bayesian pattern recognition logic. Initial validation, usability, and acceptability testing were performed on 861 children aged between 2 and 60 months by 49 FLWs in Burkina Faso, Ecuador, and Bangladesh. MEDSINC-based clinical assessments by FLWs were independently and blindly correlated with clinical assessments by 22 local health-care professionals (LHPs). Results demonstrate that clinical assessments by FLWs using MEDSINC had a specificity correlation between 84% and 99% to LHPs, except for two outlier assessments (63% and 75%) at one study site, in which local survey prevalence data indicated that MEDSINC outperformed LHPs. In addition, MEDSINC triage recommendation distributions were highly correlated with those of LHPs, whereas usability and feasibility responses from LHP/FLW were collectively positive for ease of use, learning, and job performance. These results indicate that the MEDSINC platform could significantly increase pediatric health-care capacity in LMICs by improving FLWs' ability to accurately assess health status and triage of children, facilitating early life-saving therapeutic interventions.

Published
2019
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