Stanford Advisors

Community and International Work

  • Global Health Monitoring

    Partnering Organization(s)

    Stanford University, Human-Centered AI (HAI)



    Ongoing Project


    Opportunities for Student Involvement


All Publications

  • Healthcare worker attendance during the early stages of the COVID-19 pandemic: A longitudinal analysis of fingerprint-verified data from all public-sector secondary and tertiary care facilities in Bangladesh JOURNAL OF GLOBAL HEALTH Do, D., Sarker, M., Chen, S., Lenjani, A., Tikka, P., Baernighausen, T., Geldsetzer, P. 2020; 10 (2)
  • Towards fully automated post-event data collection and analysis: Pre-event and post-event information fusion ENGINEERING STRUCTURES Lenjani, A., Dyke, S. J., Bilionis, I., Yeum, C., Kamiya, K., Choi, J., Liu, X., Chowdhury, A. G. 2020; 208
  • A resilience-based method for prioritizing post-event building inspections NATURAL HAZARDS Lenjani, A., Bilionis, I., Dyke, S. J., Yeum, C., Monteiro, R. 2020; 100 (2): 877-896
  • Healthcare Worker Attendance During the Early Stages of the COVID-19 Pandemic: A Longitudinal Analysis of Daily Fingerprint-Verified Data from All Public-Sector Secondary and Tertiary Care Facilities in Bangladesh. medRxiv : the preprint server for health sciences Do, D. n., Sarker, M. n., Chen, S. n., Lenjani, A. n., Tikka, P. n., Bärnighausen, T. n., Geldsetzer, P. n. 2020


    The COVID-19 pandemic has overwhelmed hospitals in several areas in high-income countries. An effective response to this pandemic requires healthcare workers (HCWs) to be present at work, particularly in low- and middle-income countries (LMICs) where they are already in critically low supply. To inform whether and to what degree policymakers in Bangladesh, and LMICs more broadly, should expect a drop in HCW attendance as COVID-19 continues to spread, this study aims to determine how HCW attendance has changed during the early stages of the COVID-19 pandemic in Bangladesh.This study analyzed daily fingerprint-verified attendance data from all 527 public-sector secondary and tertiary care facilities in Bangladesh to describe HCW attendance from January 26, 2019 to March 22, 2020, by cadre, hospital type, and geographic division. We then regressed HCW attendance onto fixed effects for day-of-week, month, and hospital, as well as indicators for each of three pandemic periods: a China-focused period (January 11, 2020 [first confirmed COVID-19 death in China] until January 29, 2020), international-spread period (January 30, 2020 [World Health Organization declared a global emergency] until March 6, 2020), and local-spread period (March 7, 2020 [first confirmed COVID-19 case in Bangladesh] until the end of the study period).On average between January 26, 2019 and March 22, 2020, 34.1% of doctors, 64.6% of nurses, and 70.6% of other healthcare staff were present for their scheduled shift. Attendance rate increased with time in 2019 among all cadres. Attendance level of nurses dropped by 2.5% points (95% CI; -3.2% to -1.8%) and 3.5% points (95% CI; -4.5% to -2.5%) during the international-spread and the local-spread periods of the COVID-19 pandemic, relative to the China-focused period. Similarly, the attendance level of other healthcare staff declined by 0.3% points (95% CI; -0.8% to 0.2%) and 2.3% points (95% CI; -3.0% to -1.6%) during the international-spread and local-spread periods, respectively. Among doctors, however, the international-spread and local-spread periods were associated with a statistically significant increase in attendance by 3.7% points (95% CI; 2.5% to 4.8%) and 4.9% points (95% CI; 3.5% to 6.4%), respectively. The reduction in attendance levels across all HCWs during the local-spread period was much greater at large hospitals, where the majority of COVID-19 testing and treatment took place, than that at small hospitals.After a year of significant improvements, attendance levels among nurses and other healthcare staff (who form the majority of the healthcare workforce in Bangladesh) have declined during the early stages of the COVID-19 pandemic. This finding may portend an even greater decrease in attendance if COVID-19 continues to spread in Bangladesh. Policymakers in Bangladesh and similar LMICs should undertake major efforts to achieve high attendance levels among HCWs, particularly nurses, such as by providing sufficient personal protective equipment as well as monetary and non-monetary incentives.

    View details for DOI 10.1101/2020.09.01.20186445

    View details for PubMedID 32908994

    View details for PubMedCentralID PMC7480043

  • Automated building image extraction from 360 degrees panoramas for postdisaster evaluation COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING Lenjani, A., Yeum, C., Dyke, S., Bilionis, I. 2020; 35 (3): 241-257

    View details for DOI 10.1111/mice.12493

    View details for Web of Science ID 000489456200001