Variable changes in nematode infection prevalence and intensity after Rabbit Haemorrhagic Disease Virus emerged in wild rabbits in Scotland and New Zealand

Spatiotemporal monitoring of Cysticercus pisiformis in European wild rabbit (Oryctolagus cuniculus) in Mediterranean ecosystems in southern Spain

Cysticercosis in wild lagomorphs is caused by Cysticercus pisiformis, the larval stage of Taenia pisiformis. Although previous studies have reported the presence of T. pisiformis in different wild carnivore species, information about the prevalence of C. pisiformis in their intermediate hosts is still very scarce. An epidemiological surveillance program was carried out to determine the prevalence and spatiotemporal patterns of cysticercosis in wild rabbits (Oryctolagus cuniculus) from Spanish Mediterranean ecosystems. A total of 2,923 animals were sampled in 164 hunting estates from Andalusia (southern Spain) during four study periods: 2009-2012 (P1), 2012-2015 (P2), 2015-2018 (P3) and 2018-2020 (P4). The presence of cysticerci was assessed by macroscopical examination and a subset of the collected parasites were molecularly identified by conventional PCR targeting the ITS-1 and 12S rRNA partial genes of Taenia spp. Risk factors associated with cysticercus infection were assessed by generalized estimating equation (GEE) analysis. A spatial statistical analysis was carried out using a Bernoulli model to identify statistically significant spatial clusters. Cysticercus infection was confirmed in 81 (2.8 %; 95 % CI: 2.2-3.4) rabbits. Cysticerci from 18 infected animals were molecularly identified as T. pisiformis. The GEE model showed the study period as the only risk factor associated with C. pisiformis infection in wild rabbits. Significantly higher prevalence was found in P2 (6.1 %; 95 % CI: 4.4-8.4) compared to the rest of the periods. At least one cysticerci-positive animal was detected in 41 (25.0 %; 95 % CI: 18.4-31.6) out of the 164 hunting estates. No statistically significant spatial clusters of high cysticercus prevalence were identified. Our results indicate an endemic circulation of C. pisiformis in wild rabbits in southern Spain. The spatial results highlight a widespread distribution of this parasite in their populations. Further studies should focus in determining which sympatric species may act as definitive hosts for T. pisiformis and the relevance of other potential intermediate host species (e.g. hares and rodents), as the relevance of wild rabbits in the sylvatic cycle of this cestode in Mediterranean ecosystems seems to be low.

Significance between air pollutants, meteorological factors, and COVID-19 infections: probable evidences in India

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease represents the causative agent with a potentially fatal risk which is having great global human health concern. Earlier studies suggested that air pollutants and meteorological factors were considered as the risk factors for acute respiratory infection, which carries harmful pathogens and affects the immunity. The study intended to explore the correlation between air pollutants, meteorological factors, and the daily reported infected cases caused by novel coronavirus in India. The daily positive infected cases, concentrations of air pollutants, and meteorological factors in 288 districts were collected from January 30, 2020, to April 23, 2020, in India. Spearman's correlation and generalized additive model (GAM) were applied to investigate the correlations of four air pollutants (PM2.5, PM10, NO2, and SO2) and eight meteorological factors (Temp, DTR, RH, AH, AP, RF, WS, and WD) with COVID-19-infected cases. The study indicated that a 10 μg/m3 increase during (Lag0-14) in PM2.5, PM10, and NO2 resulted in 2.21% (95%CI: 1.13 to 3.29), 2.67% (95% CI: 0.33 to 5.01), and 4.56 (95% CI: 2.22 to 6.90) increase in daily counts of Coronavirus Disease 2019 (COVID 19)-infected cases respectively. However, only 1 unit increase in meteorological factor levels in case of daily mean temperature and DTR during (Lag0-14) associated with 3.78% (95%CI: 1.81 to 5.75) and 1.82% (95% CI: -1.74 to 5.38) rise of COVID-19-infected cases respectively. In addition, SO2 and relative humidity were negatively associated with COVID-19-infected cases at Lag0-14 with decrease of 7.23% (95% CI: -10.99 to -3.47) and 1.11% (95% CI: -3.45 to 1.23) for SO2 and for relative humidity respectively. The study recommended that there are significant correlations between air pollutants and meteorological factors with COVID-19-infected cases, which substantially explain the effect of national lockdown and suggested positive implications for control and prevention of the spread of SARS-CoV-2 disease.