The Need for Complex Survey Designs to Contrast COVID-19

8 Pages Posted: 24 Sep 2020

See all articles by Angelo Moretti

Angelo Moretti

Manchester Metropolitan University - Faculty of Science and Engineering

Caterina Santi

Cork University Business School

Date Written: June 23, 2020

Abstract

In this article, we aim to identify the problem of measuring COVID-19 from a survey methods point of view. In particular, the lack of a clear data collection plan for testing is discussed and we compare non-probabilistic to probabilistic sampling strategies. We highlight how complex survey designs based on probabilistic sampling experiments can provide statistical sound information i.e.making statistical inference possible. Then, we discuss which types of analysis can be helpful in order to provide information to policy-makers. The goal of this article is to discuss some general topics in survey sampling that can be considered for this phenomena. We aim to stress to the survey research methodologists community the need for a clear data collection plan where statistical inference is possible and generate debate in collecting data to contrast COVID-19.

Note: Funding: None to declare

Declaration of Interest: None to declare

Keywords: Coronavirus, Inference, Modelling, Survey Sampling, Health, Geography, SARS

JEL Classification: C83, I10, I12, I19

Suggested Citation

Moretti, Angelo and Santi, Caterina, The Need for Complex Survey Designs to Contrast COVID-19 (June 23, 2020). Available at SSRN: https://ssrn.com/abstract=3633827 or http://dx.doi.org/10.2139/ssrn.3633827

Angelo Moretti

Manchester Metropolitan University - Faculty of Science and Engineering ( email )

United Kingdom

Caterina Santi (Contact Author)

Cork University Business School ( email )

College Rd, University College Cork
Cork
Ireland

HOME PAGE: http://www.caterinasanti.com

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