Publications by authors named "Bronwyn MacInnis"

Highly Pathogenic Avian Influenza strain H5N1 has caused a multi-state outbreak among US dairy cattle, spreading across 15 states and infecting hundreds of herds since its onset. We rapidly developed and optimized PCR-based detection assays and sequencing protocols to support H5N1 molecular surveillance. Using 214 retail milk from 20 states for methods development, we found that H5N1 concentrations by digital PCR strongly correlated with qPCR cycle threshold (Ct) values, with dPCR exhibiting greater sensitivity.

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  • Households are key locations for the spread of SARS-CoV-2, yet there's limited understanding of how the virus transmits, especially with different variants and prior immunity.
  • A study in the Boston area from March to July 2022 tracked 33 households, revealing that 58% of them reported a secondary case of COVID-19, with a secondary attack rate (SAR) of 39%.
  • Results showed that household contacts are at significant risk of infection within two weeks of exposure, influenced not only by the original infected person but also by higher community transmission rates.
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  • The study investigates the prevalence of the Arg561His mutation in the Plasmodium falciparum k13 gene and other antimalarial resistance markers in Tanzania, particularly near the border with Rwanda, due to rising concerns about resistance in the region.* -
  • A total of 6855 blood samples from malaria-positive individuals were collected and genotyped, revealing an overall mutation prevalence of 7.7% in the Kagera region, with higher rates closer to Rwanda.* -
  • Genetic analysis indicates a possible connection between some local P. falciparum strains and those previously recorded in Rwanda, suggesting a regional spread of resistance.*
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Background: Drug resistance in Plasmodium falciparum is a major threat to malaria control efforts. Pathogen genomic surveillance could be invaluable for monitoring current and emerging parasite drug resistance.

Methods: Data from two decades (2000-2020) of continuous molecular surveillance of P.

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  • The RTS,S/AS01 malaria vaccine was tested for its effectiveness in a study involving 1,500 children aged 5-17 months in Ghana and Kenya, focusing on different dosing regimens.
  • Four different groups received the vaccine in varying full and fractional doses, while a control group got a rabies vaccine.
  • Results showed all RTS,S/AS01 regimens provided similar vaccine efficacy (25-43%) against new malaria infections, significantly reducing the number of infections over a 20-month follow-up period.
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  • Genetic surveillance of Plasmodium falciparum can help National Malaria Control Programmes estimate parasite transmission using metrics like multi-strain infections and infection complexity, despite uncertainties about their ability to directly predict clinical incidence.
  • In a study involving 3,147 clinical infections across Senegal from 2012-2020, researchers used genetic analysis to correlate genetic metrics with malaria incidence at different clinic sites.
  • Results indicated that genetic metrics reliably predicted incidence when transmission was high (over 10 cases per 1,000 annually), but showed reversed correlations at lower transmission levels, suggesting a limit to the use of genetics in estimating incidence during low transmission periods.
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Background: Households are a major setting for SARS-CoV-2 infections, but there remains a lack of knowledge regarding the dynamics of viral transmission, particularly in the setting of widespread pre-existing SARS-CoV-2 immunity and evolving variants.

Methods: We conducted a prospective, case-ascertained household transmission study in the greater Boston area in March-July 2022. Anterior nasal swabs, along with clinical and demographic data, were collected for 14 days.

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Background: The only licensed malaria vaccine, RTS,S/AS01 , confers moderate protection against symptomatic disease. Because many malaria infections are asymptomatic, we conducted a large-scale longitudinal parasite genotyping study of samples from a clinical trial exploring how vaccine dosing regimen affects vaccine efficacy (VE).

Methods: 1,500 children aged 5-17 months were randomized to receive four different RTS,S/AS01 regimens or a rabies control vaccine in a phase 2b clinical trial in Ghana and Kenya.

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Background: Emergence of artemisinin partial resistance (ART-R) in is a growing threat to the efficacy of artemisinin combination therapies (ACT) and the efforts for malaria elimination. The emergence of Kelch13 (K13) R561H in Rwanda raised concern about the impact in neighboring Tanzania. In addition, regional concern over resistance affecting sulfadoxine-pyrimethamine (SP), which is used for chemoprevention strategies, is high.

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Genetic surveillance of the parasite shows great promise for helping National Malaria Control Programs (NMCPs) assess parasite transmission. Genetic metrics such as the frequency of polygenomic (multiple strain) infections, genetic clones, and the complexity of infection (COI, number of strains per infection) are correlated with transmission intensity. However, despite these correlations, it is unclear whether genetic metrics alone are sufficient to estimate clinical incidence.

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We here analyze data from the first year of an ongoing nationwide program of genetic surveillance of Plasmodium falciparum parasites in Senegal. The analysis is based on 1097 samples collected at health facilities during passive malaria case detection in 2019; it provides a baseline for analyzing parasite genetic metrics as they vary over time and geographic space. The study's goal was to identify genetic metrics that were informative about transmission intensity and other aspects of transmission dynamics, focusing on measures of genetic relatedness between parasites.

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Genome sequencing can offer critical insight into pathogen spread in viral outbreaks, but existing transmission inference methods use simplistic evolutionary models and only incorporate a portion of available genetic data. Here, we develop a robust evolutionary model for transmission reconstruction that tracks the genetic composition of within-host viral populations over time and the lineages transmitted between hosts. We confirm that our model reliably describes within-host variant frequencies in a dataset of 134,682 SARS-CoV-2 deep-sequenced genomes from Massachusetts, USA.

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  • Researchers studied non-malarial febrile illness (NMFI) in Senegal, finding it is hard to understand and diagnose.
  • In their study, they found that 29% of NMFI cases had different germs, mostly bacteria, while some cases had viruses.
  • They created a model to help doctors better identify NMFI based on symptoms and health signs, showing that better testing is really needed.
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  • Drug resistance to malaria is a big problem that makes it hard to control the disease, especially in Senegal.
  • Researchers studied data from 2000 to 2020 to see how changes in medicine policies affected malaria parasites.
  • They found that when certain drugs were removed or introduced, the parasites changed quickly, showing that we need to watch how well preventive treatments work.
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  • Scientists are studying how to use parasite genetics to help control malaria in Senegal.
  • They discovered that having multiple different types of parasites in one person can predict local malaria outbreaks.
  • Most related parasites in the country form a big family, which could help identify where malaria is spreading and if certain drugs are becoming less effective against it.
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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is continually evolving resulting in variants with increased transmissibility, more severe disease, reduced effectiveness of treatments or vaccines, or diagnostic detection failure. The SARS-CoV-2 Delta variant (B.1.

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SARS-CoV-2 distribution and circulation dynamics are not well understood due to challenges in assessing genomic data from tissue samples. We develop experimental and computational workflows for high-depth viral sequencing and high-resolution genomic analyses from formalin-fixed, paraffin-embedded tissues and apply them to 120 specimens from six subjects with fatal COVID-19. To varying degrees, viral RNA is present in extrapulmonary tissues from all subjects.

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The US experienced an early and severe respiratory syncytial virus (RSV) surge in autumn 2022. Despite the pressure this has put on hospitals and care centers, the factors promoting the surge in cases are unknown. To investigate whether viral characteristics contributed to the extent or severity of the surge, we sequenced 105 RSV-positive specimens from symptomatic patients diagnosed with RSV who presented to the Massachusetts General Hospital (MGH) and its outpatient practices in the Greater Boston Area.

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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfection is poorly understood, partly because few studies have systematically applied genomic analysis to distinguish reinfection from persistent RNA detection related to initial infection. We aimed to evaluate the characteristics of SARS-CoV-2 reinfection and persistent RNA detection using independent genomic, clinical, and laboratory assessments.

Methods: All individuals at a large academic medical center who underwent a SARS-CoV-2 nucleic acid amplification test (NAAT) ≥45 days after an initial positive test, with both tests between 14 March and 30 December 2020, were analyzed for potential reinfection.

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Background: Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020-2021 academic year at Colorado Mesa University and introduce a SARS-CoV-2 surveillance and response framework.

Methods: We analyzed epidemiological and sociobehavioral data (demographics, contact tracing, and WiFi-based co-location data) alongside pathogen surveillance data (wastewater and diagnostic testing, and viral genomic sequencing of wastewater and clinical specimens) to characterize outbreak dynamics and inform policy.

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We measured viral kinetics of SARS-CoV-2 Omicron infection in 36 mRNA-vaccinated individuals, 11 of whom were treated with nirmatrelvir-ritonavir (NMV-r). We found that NMV-r was associated with greater incidence of viral rebound compared to no treatment. For those that did not rebound, NMV-r significantly reduced time to PCR conversion.

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Recent developments in molecular biology and genomics have revolutionized biology and medicine mainly in the developed world. The application of next generation sequencing (NGS) and CRISPR-Cas tools is now poised to support endemic countries in the detection, monitoring and control of endemic diseases and future epidemics, as well as with emerging and re-emerging pathogens. Most low and middle income countries (LMICs) with the highest burden of infectious diseases still largely lack the capacity to generate and perform bioinformatic analysis of genomic data.

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