Andrea Contina

School of Integrative Biological and Chemical Sciences, The University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA.

13 publications 2016 – 2025 ORCID

What does Andrea Contina research?

Andrea Contina's research centers around SARS-CoV-2, the virus responsible for COVID-19. She particularly studies the accuracy and reliability of different blood tests used to detect antibodies, which indicate whether a person has been infected with the virus. By comparing results from various tests on a large group of people, her work aims to provide insights into how widespread the infection is in communities, crucial for managing public health during the pandemic.

Key findings

  • In a study of 3,185 individuals, around 2% were found to have antibodies indicating a prior COVID-19 infection.
  • The study compared the results of five different blood tests, most of which delivered consistent results, demonstrating their reliability.
  • The findings highlighted that the relatively low infection rate at that time contributed to the rapid spread observed during the second wave of COVID-19.

Frequently asked questions

Does Dr. Contina study COVID-19?
Yes, Dr. Contina focuses her research on COVID-19, particularly on how well different tests can detect past infections.
What treatments has Dr. Contina researched?
While Dr. Contina's work is primarily on diagnostic tests, understanding infection rates helps inform treatment and public health strategies.
Is Dr. Contina's work relevant to understanding COVID-19's spread?
Absolutely, her research directly contributes to understanding how the virus spreads by analyzing antibody presence in the population.

Publications in plain English

Same data, different analysts: variation in effect sizes due to analytical decisions in ecology and evolutionary biology.

2025

BMC biology

Gould E, Fraser HS, Parker TH, Nakagawa S, Griffith SC +305 more

Plain English
This study looked at how different researchers analyzing the same ecological and evolutionary data can come up with very different results. For instance, when analyzing data on blue tit nestlings, the average finding showed that nestlings with more siblings grew less, but results varied widely—from large negative impacts to almost no effect. In another case involving Eucalyptus seedlings, the average impact of grass cover was close to zero, with some results giving conflicting signs. This matters because it highlights how different analytical choices can lead to vastly different conclusions in science, making it hard to know what findings to trust. Who this helps: This helps researchers and ecologists improve their analytical methods and interpret findings more accurately.

PubMed

BioSense: An automated sensing node for organismal and environmental biology.

2024

HardwareX

Contina A, Abelson E, Allison B, Stokes B, Sanchez KF +7 more

Plain English
This study introduces BioSense, a new low-cost device designed to monitor bird sounds and environmental conditions like temperature and moisture levels. The researchers tested BioSense in the field and found it effective for gathering detailed data, which can help scientists study wildlife and the environment. This matters because having an affordable tool for large-scale monitoring means researchers can collect better data over wide areas, leading to improved environmental insights. Who this helps: This benefits wildlife researchers and environmental scientists.

PubMed

Semiautomated generation of species-specific training data from large, unlabeled acoustic datasets for deep supervised birdsong isolation.

2024

PeerJ

Sasek J, Allison B, Contina A, Knobles D, Wilson P +1 more

Plain English
This research examined how to improve the analysis of birdsongs by using specific recordings from different locations. The study found that by training a deep learning model with site-specific audio, it increased accuracy significantly: the separation quality improved by more than 9 decibels in some measures. This matters because it allows researchers to better identify and study birds even in noisy environments, leading to better wildlife monitoring and conservation efforts. Who this helps: This helps researchers and conservationists studying wildlife populations.

PubMed

Genetic and ecological drivers of molt in a migratory bird.

2023

Scientific reports

Contina A, Bossu CM, Allen D, Wunder MB, Ruegg KC

Plain English
This study looked at how genetics and the environment affect the timing and location of feather molting in Painted Buntings, a type of migratory bird. The researchers found that two specific genes are involved in molting and that the variation in these genes is influenced by seasonal changes in rainfall and dryness. Understanding these factors is important because molting affects the birds' ability to fly and find food, which ultimately impacts their survival and reproduction. Who this helps: This research benefits conservationists and researchers working to protect migratory birds.

PubMed

Winter connectivity and leapfrog migration in a migratory passerine.

2023

Ecology and evolution

Rueda-Hernández R, Bossu CM, Smith TB, Contina A, Canales Del Castillo R +2 more

Plain English
This study looked at the migration patterns of the Painted Bunting, a songbird, using genetic analysis to understand how different groups of birds move during their migration. The researchers identified four distinct genetic groups among these birds, revealing that those from the Central group traveled much farther south for the winter compared to others, covering greater distances that confirmed a leapfrog migration pattern. This understanding helps in conservation efforts by clarifying how these birds use different areas during migration and wintering. Who this helps: This helps conservationists and wildlife managers protect vital habitats for migratory birds.

PubMed

A migratory divide spanning two continents is associated with genomic and ecological divergence.

2022

Evolution; international journal of organic evolution

Turbek SP, Schield DR, Scordato ESC, Contina A, Da XW +9 more

Plain English
This study looked at how two subspecies of barn swallows in China, which have different migration patterns, are separated by a "migratory divide." The researchers found that swallows west of this divide traveled to eastern Africa, while those to the east went to southern India, arriving at their breeding grounds three weeks apart. This division in migration routes helps keep the two subspecies distinct and suggests that geographic barriers can influence bird evolution. Who this helps: This research benefits conservationists and bird researchers working to understand how animal populations adapt to their environments.

PubMed

Habitat loss exacerbates pathogen spread: An Agent-based model of avian influenza infection in migratory waterfowl.

2022

PLoS computational biology

Yin S, Xu Y, Xu M, de Jong MCM, Huisman MRS +4 more

Plain English
This study looked at how the loss of habitats for migratory waterfowl affects the spread of avian influenza viruses (AIV). The researchers found that when more habitats are lost, outbreaks of the virus can move north, risk increases at remaining sites due to larger groups of geese, and the overall transmission of the virus among birds increases. This research highlights the critical need for habitat conservation to control the spread of avian influenza. Who this helps: This helps conservationists and public health officials working to protect wildlife and prevent disease outbreaks.

PubMed

Seroprevalence of SARS-CoV-2 Assessed by Four Chemiluminescence Immunoassays and One Immunocromatography Test for SARS-Cov-2.

2021

Frontiers in public health

Cerino P, Gallo A, Pierri B, Buonerba C, Di Concilio D +20 more

Plain English
Researchers tested 3,185 people in Italy using five different blood tests to detect antibodies showing they had been infected with COVID-19, comparing how well these tests matched each other's results. Most tests performed well and gave similar results, finding that about 2% of the population had been infected—a very low rate that explained why COVID was spreading so widely in the second wave. This comparison was important because these antibody tests were new and needed to be proven reliable before being used to track how many people in the community had actually had COVID.

PubMed

Comment on "A global-scale ecological niche model to predict SARS-CoV-2 coronavirus infection rate", author Coro.

2020

Ecological modelling

Contina A, Yanco SW, Pierce AK, DePrenger-Levin M, Wunder MB +7 more

Plain English
This letter reviews a study that created a model to predict how the SARS-CoV-2 virus spreads based on environmental factors. The authors discuss the findings and highlight the importance of understanding how different conditions can influence COVID-19 infection rates. Knowing this can help in planning better public health responses and interventions. Who this helps: This helps public health officials and researchers.

PubMed

Examination of Clock and Adcyap1 gene variation in a neotropical migratory passerine.

2018

PloS one

Contina A, Bridge ES, Ross JD, Shipley JR, Kelly JF

Plain English
This study looked at how certain genes, known as Clock and Adcyap1, might affect the migratory behavior of Painted Buntings, a type of bird. Researchers examined three populations of these birds in Oklahoma, Louisiana, and North Carolina and found that variations in the genes did not affect when or how long the birds migrate. This matters because it shows that simply looking at genetic differences may not explain complex behaviors like migration in birds. Who this helps: This research helps scientists and conservationists who study bird migration patterns.

PubMed

Temporal migration patterns between natal locations of ruby-throated hummingbirds () and their Gulf Coast stopover site.

2018

Movement ecology

Zenzal TJ, Contina AJ, Kelly JF, Moore FR

Plain English
This study looked at the migration patterns of ruby-throated hummingbirds as they travel from where they are born to their stopover location on the Gulf Coast during autumn. Researchers found that hummingbirds from different areas tend to arrive at the Gulf Coast in a specific order, with birds from southern regions arriving before those from northern regions. This matters because understanding these migration patterns can help us learn more about the factors that influence bird movements and their survival. Who this helps: This helps conservationists and biologists who study bird migration and habitat needs.

PubMed

Varying dataset resolution alters predictive accuracy of spatially explicit ensemble models for avian species distribution.

2018

Ecology and evolution

Curry CM, Ross JD, Contina AJ, Bridge ES

Plain English
This study looked at how different ways of organizing data affect predictions about where grassland bird species can be found in Oklahoma. Researchers tested 11 bird species and found that only four benefited from the best models; for the other seven, the most accurate predictions depended on how detailed the data was. This matters because it highlights the importance of careful data selection for making reliable predictions, which can influence conservation efforts and policy decisions. Who this helps: This helps conservationists and wildlife managers improve their strategies for protecting bird species.

PubMed

Exploring novel candidate genes from the Mouse Genome Informatics database: Potential implications for avian migration research.

2016

Integrative zoology

Contina A, Bridge ES, Kelly JF

Plain English
This study looked for genes linked to migration in songbirds by examining genetic information from mice. Researchers discovered that variations in a specific gene called MYH7 were associated with how fast certain songbird species migrate, with speeds calculated across 11 different species. Understanding these genetic connections can help us learn more about how migration works in birds and other animals. Who this helps: This benefits researchers studying bird migration and conservation efforts.

PubMed

Publication data sourced from PubMed . Plain-English summaries generated by AI. Not medical advice.