Publications by authors named "Andrew Chamberlin"

In areas of high infection prevalence, effective control of schistosomiasis - one of the most important Neglected Tropical Diseases - requires supplementing medical treatment with interventions targeted at the environmental reservoir of disease. In addition to provision of clean water, reliable sanitation, and molluscicide use to control the obligate intermediate host snail, top-down biological control of parasite-competent snails has recently gained increasing interest in the scientific community. However, evidence that natural predators can effectively reduce snail abundance and, ultimately, transmission risk to vulnerable human populations remains limited.

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The complex relationship between temperature and schistosomiasis, an environmentally mediated neglected tropical disease affecting 250 million people globally, with hyperendemicity mostly in Africa, is poorly characterized. Here, we explored how seasonal temperature fluctuation affects the persistence, dynamics, and geographic distribution of schistosomiasis in Africa. We used a temperature-sensitive, mechanistic model of schistosomiasis dynamics that accounts for the adaptive behaviors of intermediate snail hosts and derived the disease's thermal response curve for different patterns of seasonal temperature fluctuations.

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Background: Trash piles and abandoned tires that are exposed to the elements collect water and create productive breeding grounds for Aedes aegypti mosquitoes, the primary vector for multiple arboviruses. Unmanned aerial vehicle (UAV) imaging provides a novel approach to efficiently and accurately mapping trash, which could facilitate improved prediction of Ae. aegypti habitat and consequent arbovirus transmission.

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Background: Schistosomiasis, a chronic parasitic disease, remains a public health issue in tropical and subtropical regions, especially in low and moderate-income countries lacking assured access to safe water and proper sanitation. A national prevalence survey carried out by the Brazilian Ministry of Health from 2011 to 2015 found a decrease in human infection rates to 1%, with 19 out of 26 states still classified as endemic areas. There is a risk of schistosomiasis reemerging as a public health concern in low-endemic regions.

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Species distribution models (SDMs) are increasingly popular tools for profiling disease risk in ecology, particularly for infectious diseases of public health importance that include an obligate non-human host in their transmission cycle. SDMs can create high-resolution maps of host distribution across geographical scales, reflecting baseline risk of disease. However, as SDM computational methods have rapidly expanded, there are many outstanding methodological questions.

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Schistosomiasis is a neglected tropical disease caused by Schistosoma parasites. Schistosoma are obligate parasites of freshwater Biomphalaria and Bulinus snails, thus controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change.

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Article Synopsis
  • The study investigates how temperature affects schistosomiasis, a disease caused by schistosome parasites and their host snails, particularly in sub-Saharan Africa where the disease is common.
  • Previous models underestimated the effective temperature range for schistosomiasis transmission, prompting this research to analyze how temperature influences the parasites and snails involved.
  • The findings indicate that optimal transmission temperatures are higher than previously thought, suggesting that climate change may increase schistosomiasis risk in regions currently suitable for the disease.
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Aedes aegypti mosquitos are the primary vector for dengue, chikungunya, and Zika viruses and tend to breed in small containers of water, with a propensity to breed in small piles of trash and abandoned tires. This study piloted the use of aerial imaging to map and classify potential Ae. aegypti breeding sites with a specific focus on trash, including discarded tires.

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The geographical range of schistosomiasis is affected by the ecology of schistosome parasites and their obligate host snails, including their response to temperature. Previous models predicted schistosomiasis' thermal optimum at 21.7 °C, which is not compatible with the temperature in sub-Saharan Africa (SSA) regions where schistosomiasis is hyperendemic.

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Schistosomiasis is a neglected tropical disease caused by parasites. are obligate parasites of freshwater snails, so controlling snail populations is critical to reducing transmission risk. As snails are sensitive to environmental conditions, we expect their distribution is significantly impacted by global change.

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Article Synopsis
  • Many low- and middle-income communities face interconnected challenges related to infectious diseases, food insecurity, and water access, which lack effective solutions.
  • A study in West Africa shows that agricultural development can inadvertently increase schistosomiasis by promoting the growth of invasive aquatic vegetation that hosts disease-carrying snails; however, removing this vegetation led to lower infection rates in schoolchildren and no long-term negative impact on water quality.
  • The removal process not only provided a cost-effective alternative for livestock feed but also helped return nutrients to agriculture while offering substantial public health benefits, creating a promising model for addressing poverty, disease, and environmental sustainability simultaneously.
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While much progress has been achieved over the last decades, malaria surveillance and control remain a challenge in countries with limited health care access and resources. High-resolution predictions of malaria incidence using routine surveillance data could represent a powerful tool to health practitioners by targeting malaria control activities where and when they are most needed. Here, we investigate the predictors of spatio-temporal malaria dynamics in rural Madagascar, estimated from facility-based passive surveillance data.

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Background: Infectious disease risk is driven by three interrelated components: exposure, hazard, and vulnerability. For schistosomiasis, exposure occurs through contact with water, which is often tied to daily activities. Water contact, however, does not imply risk unless the environmental hazard of snails and parasites is also present in the water.

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Article Synopsis
  • Schistosome parasites, affecting over 200 million people mainly in sub-Saharan Africa, show varied infection risks based on the distribution of their intermediate host snails.
  • The study examines schistosomiasis risk in 16 villages along the Senegal River, focusing on the spatial distribution of snails and their relationship to human infections of two species, S. haematobium and S. mansoni.
  • Results indicate that S. haematobium infection risk increases with snail habitat up to 120 meters from shore and larger water access sites, while S. mansoni risk relates to smaller, sheltered sites without a positive correlation to snail habitat.
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  • Computer vision, specifically convolutional neural networks (CNNs), is explored for classifying environmental stages of parasites and their snail hosts in public health, focusing on schistosomiasis as a case study.
  • The study trained a CNN on a dataset of over 10,600 images from the Senegal River Basin, achieving high accuracy (99% for snails and 91% for cercariae) comparable to expert guidelines.
  • Results indicate that such machine learning models could assist in identifying disease vectors in remote areas, enhancing public health efforts by providing a practical tool for classification using smartphones.
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Schistosomiasis, or "snail fever", is a parasitic disease affecting over 200 million people worldwide. People become infected when exposed to water containing particular species of freshwater snails. Habitats for such snails can be mapped using lightweight, inexpensive and field-deployable consumer-grade Unmanned Aerial Vehicles (UAVs), also known as drones.

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Tropical forest loss currently exceeds forest gain, leading to a net greenhouse gas emission that exacerbates global climate change. This has sparked scientific debate on how to achieve natural climate solutions. Central to this debate is whether sustainably managing forests and protected areas will deliver global climate mitigation benefits, while ensuring local peoples' health and well-being.

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  • Schistosomiasis is a significant neglected tropical disease, especially in Africa, where access to treatment is inconsistent, and high snail populations contribute to reinfection risks for humans.
  • This research focused on the relationship between aquatic factors, such as plant life and predators, and the abundance of infected snails and their infective cercariae in Senegal, an area with high schistosomiasis prevalence.
  • Findings indicate that aquatic vegetation increases cercarial production in snails due to better nutrition, while the presence of snail predators lowers cercarial release, highlighting the complex ecological interactions influencing disease risk in the region.
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  • The World Health Organization found that giving out medicine to stop schistosomiasis (a disease caused by parasites) wasn't working well in some places.
  • They suggest focusing on freshwater snails that spread the disease, especially in the Lower Senegal River Basin where there was a big outbreak.
  • Researchers discovered that instead of counting snails, they could use drone images to quickly assess the areas where snails live, which helps determine how at risk people are for getting infected again.
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More than 200 million people in sub-Saharan Africa are infected with schistosome parasites. Transmission of schistosomiasis occurs when people come into contact with larval schistosomes emitted from freshwater snails in the aquatic environment. Thus, controlling snails through augmenting or restoring their natural enemies, such as native predators and competitors, could offer sustainable control for this human disease.

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The objective of this pilot study was to determine the usability of stereophotogrammetry (SP) as a noninvasive technique for obtaining linear measures and anatomical data of the torso in people with osteogenesis imperfecta in comparison with clinical observations. Ten participants were recruited from subjects enrolled in ongoing institutional review board-approved osteogenesis imperfecta protocols at the National Institute of Child Health and Human Development. Using a Gulick tape measure, anthropometer, and the SP system proprietary software, linear measurements of the torso were taken.

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To determine the reliability, stability, validity and precision of a stereophotogrammetry (SP) system for use in quantifying the complex three-dimensional structure of the human torso, we performed assessments of the system using images of geometric solids and a human-form mannequin. Analysis of geometric solids revealed excellent intra- and interrater reliability of the system for linear, surface area and volume measurements (r>0.99, P<0.

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