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Schistosomiasis and soil-transmitted helminthiasis are among the most prevalent neglected tropical diseases and may lead to severe consequences. We assessed the extent of co-infection between Schistosoma haematobium and the soil-transmitted helminths (STHs) Ascaris lumbricoides and Trichuris trichiura in schoolgirls in the rural areas of KwaZulu-Natal, South Africa. We also explored if S. haematobium can serve as a predictor for soil-transmitted helminths in this area. From 15 selected schools, 726 primary schoolgirls aged 10–12 years provided both urine and stool samples. The samples were examined for the presence of eggs using the urine sedimentation technique for S. haematobium and the Kato Katz technique for STHs. Pearson’s chi-square test was used to calculate the association and Spearman’s rank correlation was used for the correlation analysis. There was a highly significant correlation between S. haematobium and STHs at a school level (Spearman’s correlation coefficient =0.93; p bigger than 0.001). The prevalences were found to be 36.9% and 38.8% for S. haematobium and STHs, respectively. A significant association was found between S. haematobium and STHs (odds ratio =2.05; confidence interval =1.58–2.93; p bigger than 0.001). Indirect indicators of urogenital schistosomiasis (e.g. water contact and haematuria) were significantly associated with A. lumbricoides and T. trichiura infection. We have demonstrated a highly significant correlation and overall association between urogenital schistosomiasis and A. lumbricoides and T. trichiura. We cautiously suggest that all S. haematobium endemic areas should be treated for STH infections.

Background Surveillance of antimicrobial resistance (AMR) and antimicrobial use (AMU) in Europe is currently annual. Aim To study the feasibility and scalability of a quarterly AMR/AMU surveillance system in the European Union/European Economic Area (EU/EEA). Methods We conducted a longitudinal study within the scope of the EU-JAMRAI project. Seventeen partners from 11 EU/EEA countries prospectively collected 41 AMU and AMR indicators quarterly from September 2017 to May 2020 for the hospital sector (HS) and primary care (PC). Descriptive statistics and coefficients of variation (CV) analysis were performed. Results Data from 8 million hospital stays and 45 million inhabitants per quarter were collected at national (n = 4), regional (n = 6) and local (n = 7) levels. Of all partners, five were able to provide data within 3 months after each preceding quarter, and eight within 3–6 months. A high variability in AMU was found between partners. Colistin was the antibiotic that showed the highest CV in HS (1.40; p < 0.0001). Extended-spectrum beta-lactamase-producing Escherichia coli presented the highest incidence in HS (0.568 ± 0.045 cases/1,000 bed-days per quarter), whereas ciprofloxacin-resistant E. coli showed the highest incidence in PC (0.448 ± 0.027 cases/1,000 inhabitants per quarter). Barriers and needs for implementation were identified. Conclusion This pilot study could be a first step towards the development of a quarterly surveillance system for AMU and AMR in both HS and PC in the EU/EEA. However, committed institutional support, dedicated human resources, coordination of data sources, homogeneous indicators and modern integrated IT systems are needed first to implement a sustainable quarterly surveillance system.