Temporal and Spatiotemporal Arboviruses Forecasting by Machine Learning: A Systematic Review.

Arboviruses are a group of diseases that are transmitted by an arthropod vector. Since they are part of the Neglected Tropical Diseases that pose several public health challenges for countries around the world. The arboviruses' dynamics are governed by a combination of climatic, environmental, and human mobility factors. Arboviruses prediction models can be a support tool for decision-making by public health agents. In this study, we propose a systematic literature review to identify arboviruses prediction models, as well as models for their transmitter vector dynamics. To carry out this review, we searched reputable scientific bases such as IEE Xplore, PubMed, Science Direct, Springer Link, and Scopus. We search for studies published between the years 2015 and 2020, using a search string. A total of 429 articles were returned, however, after filtering by exclusion and inclusion criteria, 139 were included. Through this systematic review, it was possible to identify the challenges present in the construction of arboviruses prediction models, as well as the existing gap in the construction of spatiotemporal models.

A review exploring the overarching burden of Zika virus with emphasis on epidemiological case studies from Brazil.

This paper explores the main factors for mosquito-borne transmission of the Zika virus by focusing on environmental, anthropogenic, and social risks. A literature review was conducted bringing together related information from this genre of research from peer-reviewed publications. It was observed that environmental conditions, especially precipitation, humidity, and temperature, played a role in the transmission. Furthermore, anthropogenic factors including sanitation, urbanization, and environmental pollution promote the transmission by affecting the mosquito density. In addition, socioeconomic factors such as poverty as well as social inequality and low-quality housing have also an impact since these are social factors that limit access to certain facilities or infrastructure which, in turn, promote transmission when absent (e.g., piped water and screened windows). Finally, the paper presents short-, mid-, and long-term preventative solutions together with future perspectives. This is the first review exploring the effects of anthropogenic aspects on Zika transmission with a special emphasis in Brazil.

Effect of microplastics and microplastic-metal combinations on growth and chlorophyll a concentration of Chlorella vulgaris.

Microplastic pollution has become a global problem and it is threatening soil and water bodies around the world. In this study, i) the sole effect of 0.5 µm sized polystyrene microplastics under different concentrations (1, 5, 50, 100, and 1000 mg/L) and ii) the combined effect of the microplastic-metal combination (Cu, Zn, Mn) were investigated on the growth and chlorophyll a content of the freshwater microalgae; Chlorella vulgaris. Results showed that lower concentrations of microplastics (1, 5 mg/L) had no impact while higher concentrations (50, 100, 1000 mg/L) significantly reduced growth and chlorophyll a content of Chlorella vulgaris. Highest inhibition ratios were found between 15.71 and 28.86% on growth and 9.2-21.3% on chlorophyll a concentration for 50-1000 mg/L of microplastic. Microplastic-metal combinations showed greater inhibition on growth and chlorophyll a concentration. It has been shown that single metal-microplastic combinations reduced growth by 47.83-49.57% and chlorophyll a concentration by 44.75-50.25%. However, a much higher impact was observed for the triple metal-microplastic combination by 70.43% and 64.09% on growth and chlorophyll a content, respectively. SEM images provided insight into the probable cause of the toxic effect as the microplastic particles were adsorbed and embedded on the algal cell. Negative effects were observed generally at the early stages of exposure and weakened over time.