Performance analysis of Internet of Things sensor architectures and security primitives

The paper presents performance analysis of centralised and decentralised architecture of IoT sensor networks. Two most popular security mechanisms for Sensor Networks based on their energy consumption, which may lead to poor performance of the IoT system, are also evaluat-ed. The Internet of Things (IoT) technology aims to improve easy access to the information needed using devices. It has been adopted by many time sensitive systems like self-driving car, automated traffic control system and so on. However, more study requires to understand per-formance level of possible IoT architectures over others. This paper explains different IoT sen-sor network architectures and models decentralised Wireless Senor Networks (WSN) architec-ture. Simulation of these architectures and their popular security primitives are compared in terms of their performance. This study can be a great resource to develop an efficient IoT ar-chitecture and security framework with better performance

Global mortality of snakebite envenoming between 1990 and 2019

Snakebite envenoming is an important cause of preventable death. The World Health Organization (WHO) set a goal to halve snakebite mortality by 2030. We used verbal autopsy and vital registration data to model the proportion of venomous animal deaths due to snakes by location, age, year, and sex, and applied these proportions to venomous animal contact mortality estimates from the Global Burden of Disease 2019 study. In 2019, 63,400 people (95% uncertainty interval 38,900–78,600) died globally from snakebites, which was equal to an age-standardized mortality rate (ASMR) of 0.8 deaths (0.5–1.0) per 100,000 and represents a 36% (2–49) decrease in ASMR since 1990. India had the greatest number of deaths in 2019, equal to an ASMR of 4.0 per 100,000 (2.3—5.0). We forecast mortality will continue to decline, but not sufficiently to meet WHO’s goals. Improved data collection should be prioritized to help target interventions, improve burden estimation, and monitor progress