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Full-Text Articles in Health Economics
Change In Outbreak Epicentre And Its Impact On The Importation Risks Of Covid-19 Progression: A Modelling Study, Oyelola A. Adegboye, Adeshina I. Adekunle, Anton Pak, Ezra Gayawan, Denis H. Y. Leung, Diana P. Rojas, Emma S. Mcbryde, Damon P. Eisen
Change In Outbreak Epicentre And Its Impact On The Importation Risks Of Covid-19 Progression: A Modelling Study, Oyelola A. Adegboye, Adeshina I. Adekunle, Anton Pak, Ezra Gayawan, Denis H. Y. Leung, Diana P. Rojas, Emma S. Mcbryde, Damon P. Eisen
Research Collection School Of Economics
Background: The outbreak of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) that was first detected in the city of Wuhan, China has now spread to every inhabitable continent, but now the attention has shifted from China to other epicentres. This study explored early assessment of the influence of spatial proximities and travel patterns from Italy on the further spread of SARS-CoV-2 worldwide. Methods: Using data on the number of confirmed cases of COVID-19 and air travel data between countries, we applied a stochastic meta-population model to estimate the global spread of COVID-19. Pearson's correlation, semi-variogram, and Moran's Index were used to …
Refusal Bias In Hiv Data From The Demographic And Health Surveys: Evaluation, Critique And Recommendations, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung
Refusal Bias In Hiv Data From The Demographic And Health Surveys: Evaluation, Critique And Recommendations, Oyelola A. Adegboye, Tomoki Fujii, Denis H. Y. Leung
Research Collection School Of Economics
Non-response is a commonly encountered problem in many population-based surveys. Broadly speaking, non-response can be due to refusal or failure to contact the sample units. Although both types of non-response may lead to bias, there is much evidence to indicate that it is much easier to reduce the proportion of non-contacts than to do the same with refusals. In this article, we use data collected from a nationally-representative survey under the Demographic and Health Surveys program to study non-response due to refusals to HIV testing in Malawi. We review existing estimation methods and propose novel approaches to the estimation of …
Bound Estimator Of Hiv Prevalence: Application To Malawi, Tomoki Fujii, Denis H. Y. Leung
Bound Estimator Of Hiv Prevalence: Application To Malawi, Tomoki Fujii, Denis H. Y. Leung
Research Collection School Of Economics
To find lower and upper bounds of HIV prevalence in Malawi under mild and intuitive assumptions to assess the importance of the refusal issue in the estimation of HIV prevalence. Methods: We derive bounds based on the following two key assumptions: (i) Among those who have never taken an HIV test before, those who refuse to take an HIV test (hereafter “refusers”) have at least as much risk to be HIV positive as those who participate in the HIV test, and (ii) among the refusers, those who have a prior testing experience are at least as likely to be HIV …
Comment: A Selective Overview Of Nonparametric Methods In Financial Econometrics, Peter C. B. Phillips, Jun Yu
Comment: A Selective Overview Of Nonparametric Methods In Financial Econometrics, Peter C. B. Phillips, Jun Yu
Research Collection School Of Economics
These comments concentrate on two issues arising from Fan’s overview. The first concerns the importance of finite sample estimation bias relative to the specification and discretization biases that are emphasized in Fan’s discussion. Past research and simulations given here both reveal that finite sample effects can be more important than the other two effects when judged from either statistical or economic viewpoints. Second, we draw attention to a very different nonparametric technique that is based on computing an empirical version of the quadratic variation process. This technique is not mentioned by Fan but has many advantages and has accordingly attracted …