Publications by authors named "Zhuolin Qu"

Malaria remains a significant infectious disease globally, causing hundreds of thousands of deaths each year. Traditional control methods, such as disease surveillance and mosquito control, along with the development of malaria vaccines, have made strides in reducing the disease's impact, but new control methods are urgently needed. Wolbachia is a natural bacterium that can infect mosquitoes and reduce their ability to transmit diseases.

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Malaria is one of the deadliest infectious diseases globally, claiming hundreds of thousands of lives each year. The disease presents substantial heterogeneity among the population, with approximately two-thirds of fatalities occurring in children under five years old. Immunity to malaria develops through repeated exposure and plays a crucial role in disease dynamics.

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Article Synopsis
  • Researchers studied how infections in mosquitoes could lower their ability to spread malaria, using a detailed mathematical model to explore control strategies in Haiti.
  • The model incorporates various mosquito life stages and biological effects, highlighting key metrics like the basic reproductive number and the phenomenon of backward bifurcation, which indicates a specific infection threshold for stability.
  • Simulations suggest that the best strategy for establishing control is to release infected mosquitoes right after pre-treatment measures and during the dry season for optimal effectiveness.
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Sensitivity Analysis (SA) is a useful tool to measure the impact of changes in model parameters on the infection dynamics, particularly to quantify the expected efficacy of disease control strategies. SA has only been applied to epidemic models at the population level, ignoring the effect of within-host virus-with-immune-system interactions on the disease spread. Connecting the scales from individual to population can help inform drug and vaccine development.

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Background: We assessed the cost-effectiveness of the Check It program, a novel community-based chlamydia screening and expedited partner treatment program for young Black men conducted in New Orleans since 2017.

Methods: We implemented a probabilistic cost-effectiveness model using a synthetic cohort of 16 181 men and 13 419 women intended to simulate the size of the Black, sexually active population in New Orleans ages 15-24 years.

Results: The Check It program cost $196 838 (95% confidence interval [CI]: $117 320-$287 555) to implement, saved 10.

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We describe an approach to generate a heterosexual network with a prescribed joint-degree distribution embedded in a prescribed large-scale social contact network. The structure of a sexual network plays an important role in how all sexually transmitted infections (STIs) spread. Generating an ensemble of networks that mimics the real-world is crucial to evaluating robust mitigation strategies for controlling STIs.

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Chlamydia trachomatis (Ct) is the most reported sexually transmitted infection in the United States, with a major cause of infertility, pelvic inflammatory disease, and ectopic pregnancy among women. Despite decades of screening women for Ct, rates increase among young African Americans (AA). We create and analyze a heterosexual agent-based network model to help understand the spread of Ct.

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We develop and analyze a stage-progression compartmental model to study the emerging invasive nontyphoidal Salmonella (iNTS) epidemic in sub-Saharan Africa. iNTS bloodstream infections are often fatal, and the diverse and non-specific clinical features of iNTS make it difficult to diagnose. We focus our study on identifying approaches that can reduce the incidence of new infections.

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Objective: (Ct) is the most commonly reported sexually transmitted infection in the USA and causes important reproductive morbidity in women. The Centers for Disease Control and Prevention recommend routine screening of sexually active women under age 25 but not among men. Despite three decades of screening women, chlamydia prevalence in women remains high.

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Aedes-borne viral diseases such as dengue fever are surging in incidence in recent years. To investigate viral transmission risks, the availability of local transmission parameters is essential. One of the most important factors directly determining infection risk is human-mosquito contact.

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