Deforestation is a major cause of biodiversity loss with a negative impact on human health. This study explores at global scale whether the loss and gain of forest cover and the rise of oil palm plantations can promote outbreaks of vector-borne and zoonotic diseases. Taking into account the human population growth, we find that the increases in outbreaks of zoonotic and vector-borne diseases from 1990 to 2016 are linked with deforestation, mostly in tropical countries, and with reforestation, mostly in temperate countries. We also find that outbreaks of vector-borne diseases are associated with the increase in areas of palm oil plantations. Our study gives new support for a link between global deforestation and outbreaks of zoonotic and vector-borne diseases as well as evidences that reforestation and plantations may also contribute to epidemics of infectious diseases. The results are discussed in light of the importance of forests for biodiversity, livelihoods and human health and the need to urgently build an international governance framework to ensure the preservation of forests and the ecosystem services they provide, including the regulation of diseases. We develop recommendations to scientists, public health officers and policymakers who should reconcile the need to preserve biodiversity while taking into account the health risks posed by lack or mismanagement of forests.

SUMMARY: Research on emerging infectious diseases calls for a work on collections of pathogens (including hosts or vectors from which the pathogens were isolated), related to human and animal health, to wildlife or on the environmental material. In this respect, the adoption of a One Health perspective is determined by the need for a common approach to consider the collection, storage and use of pathogens coming from human or non-human sources, and particularly when the same pathogen is taken from different environments. In response to this development, our purpose is to delineate a flexible regulation framework concerning collections of pathogens from various origins or hosts and their associated data in order to facilitate scientific work and research partnerships. The legal and ethical cutting-edge research on Biomedical Big Data is particularly stimulating when it comes to address challenges related to collections or biobanks of pathogens such as prior informed consent and accessibility, Material Transfer Agreement or benefit sharing.

The present study integrates several aspects of a parasitological survey in a rural community village combining community knowledge of parasites, their potential transmission routes and health risk factors. A rural community located in Northern Thailand was surveyed for intestinal parasites, and an overall prevalence of 45.2% for helminths and 4.8% for protozoan infections was identified. Socio-demographic characteristics, customs and perceptions were compiled using individual questionnaires and interviews for participants surveyed for parasitic screening. The results allowed us to determine the knowledge and perception of local people concerning helminthic infection and transmission. Despite the fact that the participants in this community were aware of parasitic transmission routes, their widespread custom of eating raw fish and meat render the reduction of helminthiasis difficult. A detailed study on the infection of fish-borne parasitic trematodes, the most prevalent helminth, allowed us to determine that the distance from a given household to the river is a determinant of infection intensity. Health education activities organised in the local community resulted in a change in perception of risks associated with parasite transmission.

Big Data is now permeating environmental law and affecting its evolution. Data-driven innovation is highlighted as a means for major organizations to address social and global challenges. We present various contributions of Big Data technologies and show how they transform our knowledge and understanding of domains regulated by environmental law – environmental changes, socio-ecological systems, sustainable development issues – and of environmental law itself as a complex system. In particular, the mining of massive data sets makes it possible to undertake concrete actions dedicated to the elaboration, production, implementation, follow-up, and adaptation of the environmental targets defined at various levels of decision making (from the international to the subnational level).This development calls into question the traditional approach to legal epistemology and ethics, as implementation and enforcement of rules take on new forms, such as regulation through smart environmental targets and securing legal compliance through the design of technological artefacts. The entry of Big Data therefore requires the development of a new and specific epistemology of environmental law.