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Published on: August 2, 2011
Migratory birds, the H5N1 influenza virus and the scientific method
Thomas P Weber1, Nikolaos I Stilianakis
1Joint Research Centre, European Commission, T,P, 267, Via Enrico Fermi 2749, I-21027 Ispra, Italy. Thomas.Weber@jrc.it
Background:
The role of migratory birds and of poultry trade in the dispersal of highly pathogenic H5N1 is still the topic of intense and controversial debate. In a recent contribution to this journal, Flint argues that the strict application of the scientific method can help to resolve this issue.
Discussion:
We argue that Flint's identification of the scientific method with null hypothesis testing is misleading and counterproductive. There is far more to science than the testing of hypotheses; not only the justification, bur also the discovery of hypotheses belong to science. We also show why null hypothesis testing is weak and that Bayesian methods are a preferable approach to statistical inference. Furthermore, we criticize the analogy put forward by Flint between involuntary transport of poultry and long-distance migration.
Summary:
To expect ultimate answers and unequivocal policy guidance from null hypothesis testing puts unrealistic expectations on a flawed approach to statistical inference and on science in general.
Insights
This study critiques the reliance on null hypothesis testing for understanding H5N1 avian flu spread. It advocates for broader scientific methods, including hypothesis discovery and Bayesian inference, for more robust conclusions on bird migration and poultry trade impacts.
Area of Science:
- Epidemiology
- Veterinary Science
- Statistical Inference
Background:
- The role of migratory birds and poultry trade in highly pathogenic H5N1 (avian influenza) dispersal remains controversial.
- A recent contribution suggested strict adherence to the scientific method could resolve this debate.
Purpose of the Study:
- To critically evaluate the application of the scientific method, specifically null hypothesis testing, in understanding H5N1 dispersal.
- To propose a more comprehensive approach to scientific inquiry in epidemiology.
Main Methods:
- Critique of null hypothesis testing as the sole scientific method.
- Advocacy for incorporating hypothesis discovery alongside justification.
- Comparison of null hypothesis testing with Bayesian statistical inference methods.
Main Results:
- Null hypothesis testing is identified as a potentially misleading and weak approach for complex epidemiological questions.
- Bayesian methods are presented as a preferable alternative for statistical inference in H5N1 dispersal studies.
- The analogy between poultry transport and bird migration for disease spread is criticized.
Conclusions:
- Over-reliance on null hypothesis testing provides unrealistic expectations for definitive answers and policy guidance.
- A broader understanding of the scientific method, encompassing hypothesis generation and advanced statistical techniques, is crucial for addressing H5N1 dispersal.
- More nuanced statistical approaches are needed to accurately assess the contributions of different factors, like migratory birds and poultry trade, to H5N1 spread.
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