Understanding key vectors and vector-borne diseases associated with freshwater ecosystem across Africa: Implications for public health

Interrelated issues within the Water-Energy-Food nexus with a focus on environmental pollution for sustainable development: A review

Pollution within the Water-Energy-Food (WEF) nexus has a profound impact on environmental health, human well-being, and the sustainability of essential resource systems. This study seeks to highlight the crucial link between pollution and the WEF nexus, aiming to inform authorities and policymakers to foster the development of sustainable policies. The research employed a comprehensive systematic review methodology, utilizing the Scopus database to identify 2524 relevant peer-reviewed articles published between 2015 and 2023. After scrutiny, 63 studies on pollution within the WEF nexus were selected. The analysis focuses on three dimensions: pollution sources, their interconnectedness, and feedback loops within the Water-Energy (WE), Energy-Food (EF), and Water-Food (WF) sub-nexuses. This study explores the intricate dynamics of air and water pollution, food waste, wastewater, and industrial emissions, uncovering their interconnected impacts and the risks they pose to sustainability and human health. The findings emphasize the need for integrated cross-sector policies and highlight the critical role of future research in enhancing resource efficiency, fostering cross-sector collaboration, and guiding sustainable policy development to address these interconnected challenges.

Neglected tropical diseases in Yemen: a systematic review of epidemiology and public health challenges

BACKGROUND

Yemen has experienced a dramatic increase in neglected tropical diseases (NTDs) amidst ongoing conflict and humanitarian crises. This systematic review aims to consolidate and analyse the available literature on NTDs in Yemen, focusing on aetiology, geographic distribution, and associated risk factors.

METHODS

A comprehensive literature search was conducted across five international databases and one national database, resulting in 3,652 identified records. After screening and applying eligibility criteria, 230 articles were included in this review. Data extraction focused on publication year, study design, sample types, diagnostic methods, reported pathogens, and geographic distribution. The aetiology of reported NTDs was categorized into four groups: viruses, bacteria, protozoa, and helminths.

RESULTS

Viral NTDs were the most frequently reported, accounting for 39% of the articles, followed by bacterial (26%), helminthic (21%), and protozoal NTDs (15%). Dengue virus, hepatitis B and C viruses were the most prominent viral pathogens, while bacterial NTDs were primarily caused by Escherichia coli, cholera, and Salmonella. Schistosomiasis and ascariasis were the most reported helminth infections, whereas leishmaniasis and malaria were the leading protozoal NTDs. Geographically, over 69% of the reported studies focused on northern Yemen, with the highest concentrations in Sana'a, Al Hudaydah, and Taiz. The review identified multiple risk factors, including poor sanitation, inadequate water quality, and urbanization, exacerbating NTD prevalence.

CONCLUSIONS

The findings highlight the significant burden and regional disparities of NTDs in Yemen, emphasizing the need for targeted interventions. Prioritizing improvements in sanitation, water quality, and vector control measures, alongside community engagement, is critical. Policymakers must allocate resources effectively to address the root causes of NTDs and strengthen Yemen's healthcare infrastructure.

A Comprehensive Review: Biology of Anopheles squamosus, an Understudied Malaria Vector in Africa

With ongoing global efforts to eliminate malaria, several countries have entered a pre-elimination stage, in which populations of the primary mosquito vector are reduced and the rates of malaria transmission are low. Efforts to eliminate malaria have changed the dynamics of disease transmission, causing a shift in anopheline community composition in some regions. One of the most abundant species of Anopheles found in pre-elimination areas, such as southern Africa, is Anopheles squamosus (Theobald, 1901; Diptera: Culicidae). Although An. squamosus has been documented across the African continent, limited information is available about its biology. Knowing what, when, and where the malaria vector bites humans can help develop effective malaria control strategies. The aim of this review is to compile the information available on An. squamosus's biology, ecology, distribution, behavior, and potential role in disease transmission. The review of current literature suggested that An. squamosus is abundant throughout the African continent. Studies indicate that this species occupies the same range and exhibits similar behaviors to primary malaria vectors in southern and eastern African countries, like Zambia. In conclusion, An. squamosus continues to be an understudied species that has circumvented disease control measures and further studies are needed to develop effective control strategies.

The potential of remote sensing for improved infectious disease ecology research and practice

Outbreaks of COVID-19 in humans, Dutch elm disease in forests, and highly pathogenic avian influenza in wild birds and poultry highlight the disruptive impacts of infectious diseases on public health, ecosystems and economies. Infectious disease dynamics often depend on environmental conditions that drive occurrence, transmission and outbreaks. Remote sensing can contribute to infectious disease research and management by providing standardized environmental data across broad spatial and temporal extents, often at no cost to the user. Here, we (i) conduct a review of primary literature to quantify current uses of remote sensing in disease ecology; and (ii) synthesize qualitative information to identify opportunities for further integration of remote sensing into disease ecology. We identify that modern advances in airborne remote sensing are enabling early detection of forest pathogens and that satellite data are most commonly used to study geographically widespread human diseases. Opportunities remain for increased use of data products that characterize vegetation, surface water and soil; provide data at high spatio-temporal and spectral resolutions; and quantify uncertainty in measurements. Additionally, combining remote sensing with animal telemetry can support decision-making for disease management by providing insights into wildlife disease dynamics. Integrating these opportunities will advance both research and management of infectious diseases.

Citizens can help to map putative transmission sites for snail-borne diseases

INTRODUCTION

Schistosomiasis and fasciolosis are snail-borne diseases of great medical and veterinary health importance. The World Health Organization recommends complementing drug treatment with snail control and community involvement for disease elimination, but there is a general lack of snail experts and hence snail distribution data. Therefore, we adopted a citizen science approach and involved citizens in the monitoring of medically and veterinary important snail taxa.

MATERIALS AND METHODS

Snail data was collected weekly by 25 trained citizen scientists (CSs) at 76 sites around southern Lake Albert (Uganda) for 20 months. At each site, snails were searched for 30 minutes, sorted, target snail hosts identified to genus level, counted and data submitted through a smartphone application. The quality of this data was assessed by comparing it to monthly data collected by an 'expert' malacologist using the same sampling protocol. Generalised binomial logistic and linear mixed-effects models were used to analyse the variables for agreement between the CSs and expert.

FINDINGS

The binary agreement in presence/absence of Biomphalaria, Bulinus and Radix snails reported by the expert and CSs ranged between 70% and 86% (900 reports) with an average of 17% false negatives (sites wrongly defined as snail-free). The agreement for Biomphalaria and Radix increased with snail abundance, and false negatives decreased when the number of snails collected by citizens was aggregated per month. Site type significantly predicted binary agreement, which was lowest at lake sites (55%) and highest at spring sites (99%) with variations across genera. Similar temporal trends in snail abundance were recorded despite the expert reporting higher abundance. However, the relative abundance was consistent across site types. The match between the sites with highest Biomphalaria spp. abundance identified by CSs and expert was consistently high (~84.1%) and increased over time.

CONCLUSIONS AND RECOMMENDATIONS

Our results demonstrate the potential of citizen science to map putative schistosomiasis transmission sites. We therefore argue that this inclusive, powerful and cost-effective approach can be more sustainable than top-down monitoring and intervention campaigns.