Skip to main content
Sean Moore on Muck Rack

Sean Moore

Orlando
As seen in: Wiley Online Library, PLOS Medicine, MDPI, PNAS, Cointelegraph, Phys.org, Royal Society of Chemistry, The Lancet, The Advocate (Baton Rouge, LA), JD Supra and
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Sean

Contact Sean, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Effects of Different Combinations of Sterile and Fertile Thaumatotibia leucotreta on Fruit Infestation and Population Growth Rate

|
By Michael M. Githae, Candice A. Coombes, Reyard Mutamiswa, Sean Moore
| Wiley Online Library Verified
1 Introduction The false codling moth (FCM), Thaumatotibia leucotreta (Meyrick) (Lepidoptera: Tortricidae) is a key agricultural pest endemic to sub-Saharan Africa (Bloem et al. 2007; Hofmeyr et al. 2015; Hattingh et al. 2020).
Open in Who Shared Issue with article?

Influence of overflooding ratios on fruit damage and population growth of Thaumatotibia leucotreta (Meyrick): implications for the sterile insect technique program

|
By Reyard Mutamiswa, Sean Moore, Michael M. Githae, Candice A. Coombes
| Wiley Online Library Verified
1 INTRODUCTION The false codling moth (FCM), Thaumatotibia leucotreta (Meyrick) (Lepidoptera: Tortricidae), is an endemic pest to sub-Saharan Africa.1 It is a polyphagous pest that infests a wide array of cultivated and wild fruits and nuts.1 Amongst the cultivated fruit, citrus is a preferred host, particularly Navel oranges.1-6 Thaumatotibia leucotreta infestation leads to premature fruit drop before harvest, and severe infestations can result in crop losses and potential rejections at...
Open in Who Shared Issue with article?

Improving distribution models of sparsely documented disease vectors by incorporating information on related species via joint modeling

|
By Stacy Mowry, Sean Moore, Nicole L. Achee, Benedicte Fustec
| Wiley Online Library Verified
Introduction A key component of understanding the risk of vector-borne disease is accurate characterization of the spatial distribution of its vector(s). Species distribution models (SDMs), which estimate a species' distribution from presence–absence or presence-only data are well-established in biogeography and have been successfully applied to study the distribution of well-documented vector species (Barker and MacIsaac 2022, Kopsco et al. 2022).
Open in Who Shared Issue with article?
See all 28 licensed articles (30 Total)