2022
Publications:
Cobbinah, E., Generalao, O., Lageshetty, S. K., Adrianto, I., Singh, S., & Dumancas, G. G. (2022). Using Near-Infrared Spectroscopy and Stacked Regression for the Simultaneous Determination of Fresh Cattle and Poultry Manure Chemical Properties. Chemosensors, 10(10), 410. https://doi.org/10.3390/chemosensors10100410
Miñoza, J. M. A., Rico, J. A., Zamora, P. R. F., Bacolod, M., Laubenbacher, R., Dumancas, G. G., & de Castro, R. (2022). Biomarker Discovery for Meta-Classification of Melanoma Metastatic Progression Using Transfer Learning. Genes, 13(12), 2303. https://doi.org/10.3390/genes13122303
Abesamis, R., Balingit, R., de Castro, R., Aguila, R. N., Cabiguin, M., Villagracia, J., Susmeña, M., Montemar, M. N., & Yokor, A. (2022). MPA-FishMApp – A Citizen Science App That Simplifies Monitoring of Coral Reef Fish Density and Biomass in Marine Protected Areas. The Philippine Journal of Fisheries, 29(2). https://doi.org/10.31398/tpjf/29.2.2022-0009
Dumancas, G. G., Harrison, D., Rico, J. A., Zamora, P. R. F. C., Liwag, A. G., Villaruz, J. F., Guanzon, Ma. L. V. V., Ferraris, H. F. D., Jalandoni, P. J. B., Padernal, W. F., Villareal, B. N. L., Maculada, R. A., Fernandez, R. M. A., Villa, F. R., & de Castro, R. (2022). Are phenome-wide association studies feasible in a developing country? Trends in Genetics, 38(9), 885–888. https://doi.org/10.1016/j.tig.2022.05.003
Dumancas, G. G., Rachal, M., Zamora, P. R. F. C., & de Castro, R. (2022). Examining Barriers and Opportunities of Conducting Genome-Wide Association Studies in Developing Countries. Current Epidemiology Reports, 9(4), 376–386. https://doi.org/10.1007/s40471-022-00303-x
Bongolan, V. P., Francisco, N. A. G., Saliba, M. T. D., & Celeste, J. (2022). School Reopening Simulations with COVID-19 Agent-based Model for the Philippine Regions. Philippine Engineering Journal, 43(2), 71-84. www.journals.upd.edu.ph/index.php/pej/article/view/8987
Miñoza, J. M. A., Rico, J. A., Zamora, P. R. F., Bacolod, M., Laubenbacher, R., Dumancas, G. G., & de Castro, R. (2022). Biomarker Discovery for Meta-Classification of Melanoma Metastatic Progression Using Transfer Learning. Genes, 13(12), 2303. https://doi.org/10.3390/genes13122303
Abesamis, R., Balingit, R., de Castro, R., Aguila, R. N., Cabiguin, M., Villagracia, J., Susmeña, M., Montemar, M. N., & Yokor, A. (2022). MPA-FishMApp – A Citizen Science App That Simplifies Monitoring of Coral Reef Fish Density and Biomass in Marine Protected Areas. The Philippine Journal of Fisheries, 29(2). https://doi.org/10.31398/tpjf/29.2.2022-0009
Dumancas, G. G., Harrison, D., Rico, J. A., Zamora, P. R. F. C., Liwag, A. G., Villaruz, J. F., Guanzon, Ma. L. V. V., Ferraris, H. F. D., Jalandoni, P. J. B., Padernal, W. F., Villareal, B. N. L., Maculada, R. A., Fernandez, R. M. A., Villa, F. R., & de Castro, R. (2022). Are phenome-wide association studies feasible in a developing country? Trends in Genetics, 38(9), 885–888. https://doi.org/10.1016/j.tig.2022.05.003
Dumancas, G. G., Rachal, M., Zamora, P. R. F. C., & de Castro, R. (2022). Examining Barriers and Opportunities of Conducting Genome-Wide Association Studies in Developing Countries. Current Epidemiology Reports, 9(4), 376–386. https://doi.org/10.1007/s40471-022-00303-x
Bongolan, V. P., Francisco, N. A. G., Saliba, M. T. D., & Celeste, J. (2022). School Reopening Simulations with COVID-19 Agent-based Model for the Philippine Regions. Philippine Engineering Journal, 43(2), 71-84. www.journals.upd.edu.ph/index.php/pej/article/view/8987
Preprints:
Zamora, P. R. F., Rico, J. A., Bolinas, D. K., Sevilleja, J. E., & de Castro, R. (2022). Early COVID-19 Pandemic Response in Western Visayas, Philippines [Preprint]. medRxiv. https://doi.org/10.1101/2022.07.21.22277909
Conference Proceedings:
Bongolan, V. P., Ang, K. K., Celeste, J. J., Minoza, J. M., Caoili, S., Rivera, R. L., & de Castro, R. (2021). COVID-19 AGENT-BASED MODEL: AN EPIDEMIOLOGICAL SIMULATOR APPLIED IN VACCINATION SCENARIOS FOR QUEZON CITY, PHILIPPINES. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-4/W6-2021, 65–70. https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-65-2021
2021
Publications:
Bongolan, V. P., Minoza, J. M. A., de Castro, R., & Sevilleja, J. E. (2021). Age-Stratified Infection Probabilities Combined With a Quarantine-Modified Model for COVID-19 Needs Assessments: Model Development Study. Journal of Medical Internet Research, 23(5), e19544. https://doi.org/10.2196/19544
Conference Proceedings:
Bongolan, V. P., Ang, K. K., Celeste, J. J., Minoza, J. M., Caoili, S., Rivera, R. L., & de Castro, R. (2021). COVID-19 AGENT-BASED MODEL: AN EPIDEMIOLOGICAL SIMULATOR APPLIED IN VACCINATION SCENARIOS FOR QUEZON CITY, PHILIPPINES. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVI-4/W6-2021, 65–70. https://doi.org/10.5194/isprs-archives-XLVI-4-W6-2021-65-2021
2020
Publications:
Dumancas, G. G., de Castro, R., Saludes, J. P., Peñaranda, B. S., Bello, G. A., Villa, F. R. P., Villareal, B. N. A. L., Padernal, W. F., Posecion, T. M. A., Guanzon, Ma. L. V. V., Drilon, J. M., & Montoya, J. C. (2020). Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines. Current Epidemiology Reports, 7(2), 77–88. https://doi.org/10.1007/s40471-020-00232-7
Preprints:
Rayo, J. F., de Castro, R., Sevilleja, J. E., & Bongolan, V. P. (2020). Modeling the dynamics of COVID-19 using Q-SEIR model with age-stratified infection probability [Preprint]. medRxiv. https://doi.org/10.1101/2020.05.20.20095406
Miñoza, J. M. A., Sevilleja, J. E., de Castro, R., Caoili, S. E., & Bongolan, V. P. (2020). Protection after Quarantine: Insights from a Q-SEIR Model with Nonlinear Incidence Rates Applied to COVID-19 [Preprint]. medRxiv. https://doi.org/10.1101/2020.06.06.20124388
Miñoza, J. M. A., Sevilleja, J. E., de Castro, R., Caoili, S. E., & Bongolan, V. P. (2020). Protection after Quarantine: Insights from a Q-SEIR Model with Nonlinear Incidence Rates Applied to COVID-19 [Preprint]. medRxiv. https://doi.org/10.1101/2020.06.06.20124388