Bio


Nina Berlin Rubin is a 2nd year PhD student in Earth System Science. Nina's research focuses on human behavior and decision-making in the face of acute climate extremes such as wildfire and hurricanes.

Education & Certifications


  • B.A., Duke University, Environmental Science and Policy (2017)

All Publications


  • A path forward for qualitative research on sustainability in the COVID-19 pandemic. Sustainability science Santana, F. N., Hammond Wagner, C., Berlin Rubin, N., Bloomfield, L. S., Bower, E. R., Fischer, S. L., Santos, B. S., Smith, G. E., Muraida, C. T., Wong-Parodi, G. 2021: 1–7

    Abstract

    The unique strengths of qualitative research, through in-depth inquiry and identification of unexpected themes and linkages, is essential to our growing understanding of COVID-19's impacts on the social world and its intersection with sustainability science. However, many challenges-physical, psychological, and ethical in nature-face qualitative researchers during the pandemic, as social distancing and travel restrictions prevent in-person field work. In this paper, we outline the essential contributions of qualitative study to sustainability science, discuss current challenges, and in turn, provide recommendations for researchers.

    View details for DOI 10.1007/s11625-020-00894-8

    View details for PubMedID 33495701

  • Process Evaluation of a Community-Based Microbial Larviciding Intervention for Malaria Control in Rural Tanzania. International journal of environmental research and public health Berlin Rubin, N., Mboera, L. E., Lesser, A., Miranda, M. L., Kramer, R. 2020; 17 (19)

    Abstract

    Microbial larviciding can be an effective component of integrated vector management malaria control schemes, although it is not commonly implemented. Moreover, quality control and evaluation of intervention activities are essential to evaluate the potential of community-based larviciding interventions. We conducted a process evaluation of a larval source management intervention in rural Tanzania where local staff were employed to apply microbial larvicide to mosquito breeding habitats with the aim of long-term reductions in malaria transmission. We developed a logic model to guide the process evaluation and then established quantitative indicators to measure intervention success. Quantitative analysis of intervention reach, exposure, and fidelity was performed to assess larvicide application, and interviews with larviciding staff were reviewed to provide context to quantitative results. Results indicate that the intervention was successful in terms of reach, as staff applied microbial larvicide at 80% of identified mosquito breeding habitats. However, the dosage of larvicide applied was sufficient to ensure larval elimination at only 26% of sites, which does not meet the standard set for intervention fidelity. We propose that insufficient training and protocol adaptation, environment and resource issues, and human error contributed to low larvicide application rates. This demonstrates how several small, context-specific details in sum can result in meaningful differences between intervention blueprint and execution. These findings may serve the design of other larval source management interventions by demonstrating the value of additional training, supervision, and measurement and evaluation of protocol adherence.

    View details for DOI 10.3390/ijerph17197309

    View details for PubMedID 33036350