Observational studyAmerican journal of epidemiology2021
Snowball Sampling Study Design for Serosurveys Early in Disease Outbreaks.
Observational study in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
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- Diagnostic odyssey and healthcare access challenges in Rett Syndrome: perspectives from Brazilian families.Revista paulista de pediatria : orgao oficial da Sociedade de Pediatria de Sao Paulo · 2026Article
- Interactive voice response surveys as a method for increasing the representativeness of rural respondents in a mortality mobile phone survey: Findings from Malawi.Tropical medicine & international health : TM & IH · 2025Article
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- Social Influence in Australian University Institutional Eating: A Qualitative Content Analysis.Health promotion journal of Australia : official journal of Australian Association of Health Promotion Professionals · 2025Article
- Key Factors Driving Portuguese Individuals to Use Food Supplements-Findings from a Cross-Sectional Study.Foods (Basel, Switzerland) · 2025Article
- Parents' and teachers' perception about the impact of school nurse role in Saudi Arabia.Frontiers in public health · 2025Article
- Nurse-led social entrepreneurship as a career.Health SA = SA Gesondheid · 2025Article
- Employees' pro-environmental behavior in an organization: a case study in the UAE.Scientific reports · 2024Article
- Evaluating the resilience of residential buildings during a pandemic with a sustainable construction approach.Heliyon · 2024Article
- Exploring galactagogue use among breastfeeding women: Insights from an observational study.PloS one · 2024Observational
- Design Research to Embed mHealth into a Community-Led Blood Pressure Management System in Uganda: Protocol for a Mixed Methods Study.JMIR research protocols · 2023Article
- Article
- Development, Reliability, and Structural Validity of the Scale for Knowledge, Attitude, and Practice in Ethics Implementation Among AI Researchers: Cross-Sectional Study.JMIR formative research · 2023Article
- The trends of psychosomatic symptoms and perceived stress among healthcare workers during the COVID-19 pandemic in China: Four cross-sectional nationwide surveys, 2020-2023.Psychiatry research · 2023Article
- The personality puzzle: a comprehensive analysis of its impact on three buying behaviors.Frontiers in psychiatry · 2023Article
- The Impact of COVID-19 on Physical Activity Among Adults in Saudi Arabia: A Cross-Sectional Study.Cureus · 2022Article
- Article
- Trends in Insomnia, Burnout, and Functional Impairment among Health Care Providers over the First Year of the COVID-19 Pandemic.Clinical practice and epidemiology in mental health : CP & EMH · 2022Article
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Authors and funding
3 authors.
Funding
Abstract
Serological surveys can provide evidence of cases that were not previously detected, depict the spectrum of disease severity, and estimate the proportion of asymptomatic infections. To capture these parameters, survey sample sizes may need to be very large, especially when the overall infection rate is still low. Therefore, we propose the use of "snowball sampling" to enrich serological surveys by testing contacts of infected persons identified in the early stages of an outbreak. For future emerging pandemics, this observational study sampling design can answer many key questions, such as estimation of the asymptomatic proportion of all infected cases, the probability of a given clinical presentation for a seropositive individual, or the association between characteristics of either the host or the infection and seropositivity among contacts of index individuals. We provide examples, in the context of the coronavirus disease 2019 (COVID-19) pandemic, of studies and analysis methods that use a snowball sample and perform a simulation study that demonstrates scenarios where snowball sampling can answer these questions more efficiently than other sampling schemes. We hope such study designs can be applied to provide valuable information to slow the present pandemic as it enters its next stage and in early stages of future pandemics.
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