The increasing overlap of resources between human and long-tailed macaque (Macaca fascicularis) (LTM) populations have escalated human–primate conflict. In Malaysia, LTMs are labeled as a ‘pest’ species due to the macaques’ opportunistic nature. This study investigates the activity budget of LTMs in an urban tourism site and how human activities influence it. Observational data were collected from LTMs daily for a period of four months. The observed behaviors were compared across differing levels of human interaction, between different times of day, and between high, medium, and low human traffic zones. LTMs exhibited varying ecological behavior patterns when observed across zones of differing human traffic, e.g., higher inactivity when human presence is high. More concerning is the impact on these animals’ welfare and group dynamics as the increase in interactions with humans takes place; we noted increased inactivity and reduced intra-group interaction. This study highlights the connection that LTMs make between human activity and sources of anthropogenic food. Only through understanding LTM interaction can the cause for human–primate conflict be better understood, and thus, more sustainable mitigation strategies can be generated.

Introduction: Cystic echinococcosis (CE) is a zoonotic parasite caused by the cestode Echinococcus granulosus sensu lato (s.l.) which predominantly affects livestock. The disease is endemic in central-southern and insular Italy, with CE particularly infecting sheep, goats, cattle, and water buffalo. The spatial distribution of CE in endemic regions is not widely understood, with surveillance efforts varying across the region.Methods: In this study, we investigated the spatial distribution of CE in livestock using samples from farms across different livestock species using a Stochastic Partial Differential Equations (SPDE) model. Samples were collected during a survey conducted in the area of central-southern and insular Italy between the years 2019 – 2021.Results: A total of 3141 animal samples (126 goats, 601 sheep and 2414 cattle and water buffalo) were inspected for Echinococcus s.l. cysts through routine surveillance in abattoirs by postmortem visual examination, palpation and incision of target organs. The geographic location of the farm of origin (a total of 2,878) for each sample was recorded. CE prevalence of 46.0% (1,323/2,878) was estimated at the farm level with 78.3% (462/590) of farms with sheep, 28.6% (36/126) of farms with goats, 36.5% (747/2,049) of farms with cattle, and 23.5% (102/434) of farms with water buffalo infected.Discussion: The spatial model evaluated the probability of infection in farms across the sampled regions, with the distribution of CE showing high clustering of infected cattle farms in Sardinia and Sicily regions, and sheep farms in Salerno province (Campania region). The output of this study can be used to identify CE hot-spots and to improve surveillance and control programs in endemic areas of Italy.

Echinococcosis is a zoonotic disease relevant to public health in many countries, on all continents except Antarctica. The objective of the study is to describe the registered cases and mortality from echinococcosis in Brazil, from 1995 to 2016. The records of two national databases, the Hospital Information System (HIS) and the Mortality Information System (MIS), were accessed during the period of 1995–2016. Demographic, epidemiological, and health care data related to the occurrence of disease and deaths attributed to echinococcosis in Brazil are described. The results showed that 7955 records of hospitalizations were documented in the HIS, during the study period, with 185 deaths from echinococcosis, and 113 records of deaths were documented in the MIS Deaths in every state of Brazil in the period. When comparing between states, the HIS showed great variability in mortality rates, possibly indicating heterogeneity in diagnosis and in the quality of health care received by patients. Less severe cases that do not require specialized care are not recorded by the information systems, thus the true burden of the disease could be underrepresented in the country. A change in the coding of disease records in the HIS in the late 1990s, (the integration of echinococcosis cases with other pathologies), led to the loss of specificity of the records. The records showed a wide geographic distribution of deaths from echinococcosis, reinforcing the need to expand the notification of the disease in Brazil. Currently, notification of cases is compulsory in the state of Rio Grande do Sul.

Rabies is an important zoonotic disease responsible for 59,000 human deaths worldwide each year. More than a third of these deaths occur in Africa. The first step in controlling rabies is establishing the burden of disease through data analysis and investigating regional risk to help prioritise resources. Here, we evaluated the surveillance data collected over the last decade in Nigeria (2014–2023). A spatio-temporal model was developed using the NIMBLE (1.2.1) package in R to assess outbreak risk. Our analysis found a high risk of canine rabies outbreaks in Plateau state and its surrounding states, as well as increased trends of outbreaks from July to September. The high number of reported canine rabies outbreaks in the North Central region could be due to cross-border transmission or improved reporting in the area. However, this could be confounded by potential reporting bias, with 8 out of 37 states (21.6%) never reporting a single outbreak in the period studied. Improving surveillance efforts will highlight states and regions in need of prioritisation for vaccinations and post-exposure prophylaxis. Using a One Health approach will likely help improve reporting, such as through integrated bite-case management, creating a more sustainable solution for the epidemiology of rabies in Nigeria in the future.

Vampire bat-transmitted rabies has recently become the leading cause of rabies mortality in both humans and livestock in Latin America. Evaluating risk of transmission from bats to other animal species has thus become a priority in the region. An integrated bat-rabies dynamic modeling framework quantifying spillover risk to cattle farms was developed. The model is spatially explicit and is calibrated to the state of São Paulo, using real roost and farm locations. Roost and farm characteristics, as well as environmental data through an ecological niche model, are used to modulate rabies transmission. Interventions aimed at reducing risk in roosts (such as bat culling or vaccination) and in farms (cattle vaccination) were considered as control strategies. Both interventions significantly reduce the number of outbreaks in farms and disease spread (based on distance from source), with control in roosts being a significantly better intervention. High-risk areas were also identified, which can support ongoing programs, leading to more effective control interventions.

Background: World Health Organization (WHO) schistosomiasis control programmes typically rely on Kato-Katz microscopy (KK) to detect Schistosoma mansoni eggs, although KK has limited sensitivity, especially in low-intensity infections. The WHO-endorsed point-of-care circulating cathodic antigen test (POC-CCA) is more sensitive but lacks the complete specificity of KK and has suffered significant batch-to-batch variability, compromising reliability. We evaluated an updated version, POC-CCA3, with the aim of addressing this batch-to-batch variation. Methods: The POC-CCA3 employs recombinant monoclonal antibodies for Schistosoma CCA detection. School-aged children (n=870) in moderate (Tororo) and high endemicity (Mayuge) settings in Uganda were tested using KK, POC-CCA, and POC-CCA3 tests over three consecutive days. Data were analysed using descriptive statistics and Bayesian Latent Class Analysis, estimating diagnostic performance including sensitivity, specificity, receiver operating characteristic curves, and batch-specific variation and day-to-day variation. Results: Model median prevalence estimates were 91.4% (Mayuge) and 31.2% (Tororo). A single POC-CCA3 test at G-score threshold 4 achieved estimated sensitivity and specificity, respectively, 86.3% and 92.9% in moderate and 88.1% and 95.5% in high endemicity settings. POC-CCA3 has a small increase in the probability of meeting the WHO TPP for monitoring and evaluation compared to the original POC-CCA. Overall diagnostic performance (AUC >94.2%) was higher compared to POC-CCA, with markedly lower batch-to-batch variation. Conclusions/Next steps: The POC-CCA3 demonstrates superior performance and greater consistency compared to POC-CCA. A G-score threshold of 4 maximises performance towards WHO target product profile (TPP) requirements. However, neither test consistently meets WHO specificity requirements from a single sample, suggesting the need for continued refinement.