We are committed to supporting decision-makers with timely data and evidence to help them respond to the COVID-19 pandemic.
Laterite is following the advice of public health authorities in the countries where we work. We are monitoring the situation closely and have developed protocols for returning to the field on a case-by-case basis, when it is safe to do so.
We are re-inventing our way of working, collecting and analyzing data, to continue delivering impactful research during this period. We are also developing new analytical tools to predict the trajectory of the crisis and tweaking existing research projects to generate relevant insights on the effects of COVID-19.
We are supporting our clients in any way we can to deliver actionable insights on how COVID-19 is affecting the communities and businesses they work with in East Africa, with a focus on phone surveys. Our teams are mobilized and responding to short- and medium-term requests.
Laterite conducted two large-scale, high-frequency phone surveys with the goal of assessing the impacts of the ongoing COVID-19 pandemic on Ethiopian households and businesses. The two surveys reached 3,300 families, including refugee households, and 800 firms in Amharic-speaking regions of Ethiopia. Laterite managed the entire data collection campaign, from recruiting especially-trained enumerators, to daily quality monitoring, to data cleaning and analysis.
Laterite carried out high-frequency phone surveys to track the impacts of COVID-19 on over 1,900 coffee farmers in Kenya, Uganda, Ethiopia, and Zimbabwe every 2-3 weeks over 8 months. The survey aimed to understand the knowledge, attitudes and behaviors about COVID-19 among coffee farmers that are part of TechnoServe’s agronomy training programs, and to identify and track social and economic impacts.
Laterite conducted a phone survey with IFPRI to assess the effects of the COVID-19 pandemic on the delivery of health and nutrition services in rural Ethiopia. The data collected will help inform disruptions to healthcare delivery and adoption of precautionary health behaviors in 251 sub-districts operating Ethiopia’s PSNP social assistance program.
Laterite implemented a large-scale phone survey for the GAGE program, designed to understand the knowledge, attitudes, and behavioral of adolescents during the COVID-19 pandemic, as well as their primary female caregivers. The survey looks into disruptions in education, training or work, constraints to mobility and agency, as well as self-reported health, coping mechanisms and psychosocial well-being.
Laterite worked with Promundo and RWAMREC on a phone survey to assess how Rwanda’s lockdown affected low-income couples’ relationships and family dynamics. The study documents how the pandemic influences relationship dynamics, conflict, and the distribution of care-work. The phone survey reached 500 women and 500 men who had previously participated in the randomized controlled trial of the Bandebereho fathers/couples intervention. Analysis from this rapid survey will provide insights to inform gender-responsive pandemic control measures and policies.
Laterite conducted a high-frequency phone survey of refugees hosted in Uganda for a project implemented by the World Bank in collaboration with the UNHCR and the Uganda Bureau of Statistics. The survey reached 2,100 households over three rounds of data collection, and aimed to identify the impacts of COVID-19 and related restrictions on the refugee population. The goal is to provide data to support an evidence-based response to the crisis.
Our new dashboard provides an overview of the latest data on how coffee farming households in East Africa are being affected by COVID-19. It’s a way to understand how the key issues coffee farmers face are changing over time as the crisis progresses.
This dashboard explores how coffee farmers were affected across eight thematic areas: coronavirus knowledge; coronavirus concerns; coffee farming; income; coping strategies; water, sanitation and hygiene (WASH); food availability; and food acquisition. The dashboard is regularly updated with the latest data from recent rounds of data collection to show the changing trends.
We developed a new tool that adapts synthetic control methods to allow for comparative COVID-19 predictions.
The tool models the progression of the outbreak in a country of interest by creating a synthetic country – a combination of other countries – that has followed a similar COVID-19 trajectory. The experience of this synthetic country is then used to model what might happen in the country of interest in the near future.