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Biologically grounded scientific methods: The challenges ahead for combating epidemics.
Rivas, Ariel L; Hoogesteijn, Almira L.
  • Rivas AL; University of New Mexico, United States. Electronic address: alrivas@unm.edu.
  • Hoogesteijn AL; Human Ecology, Centro de Investigación y de Estudios Avanzados (CINVESTAV), Merida, Mexico. Electronic address: almirahoo@cinvestav.mx.
Methods ; 195: 113-119, 2021 11.
Article in English | MEDLINE | ID: covidwho-1386756
ABSTRACT
The protracted COVID 19 pandemic may indicate failures of scientific methodologies. Hoping to facilitate the evaluation and/or update of methods relevant in Biomedicine, several aspects of scientific processes are here explored. First, the background is reviewed. In particular, eight topics are analyzed (i) the history of Higher Education models in reference to the pursuit of science and the type of student cognition pursued, (ii) whether explanatory or actionable knowledge is emphasized depending on the well- or ill-defined nature of problems, (iii) the role of complexity and dynamics, (iv) how differences between Biology and other fields influence methodologies, (v) whether theory, hypotheses or data drive scientific research, (vi) whether Biology is reducible to one or a few factors, (vii) the fact that data, to become actionable knowledge, require structuring, and (viii) the need of inter-/trans-disciplinary knowledge integration. To illustrate how these topics interact, a second section describes four temporal stages of scientific

methods:

conceptualization, operationalization, validation and evaluation. They refer to the transition from abstract (non-measurable) concepts (such as 'health') to the selection of concrete (measurable) operations (such as 'quantification of ́anti-virus specific antibody titers'). Conceptualization is the process that selects concepts worth investigating, which continues as operationalization when data-producing variables viewed to reflect critical features of the concepts are chosen. Because the operations selected are not necessarily valid, informative, and may fail to solve problems, validations and evaluations are critical stages, which require inter/trans-disciplinary knowledge integration. It is suggested that data structuring can substantially improve scientific methodologies applicable in Biology, provided that other aspects here mentioned are also considered. The creation of independent bodies meant to evaluate biologically oriented scientific methods is recommended.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Biology / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Methods Journal subject: Biochemistry Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Research Design / Biology / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Methods Journal subject: Biochemistry Year: 2021 Document Type: Article