Infectious diseases often occur, especially as diseases such as COVID-19 have claimed many lives in the years between 2019–2021. That’s why it’s called COVID-19, considering that this infectious disease outbreak started in 2019, and its consequences and effects are devastating. Like other countries’ governments, the Indonesian government always announces the latest data on this infectious disease, such as death rates and recoveries. Infectious diseases are transmitted directly through disease carriers to humans through infections such as fungi, bacteria, viruses and parasites. In this research, we offer a contagious illness monitoring application to help the public and government know the zone’s status so that people are more alert when travelling between regions. This application was created based on Web Application Programming Interface (API) data and configured on the Google Map API to determine a person’s or user’s coordinates in a particular zone. We made it using the prototype method to help users understand this application well. This research is part of the Automatic Identification System (AIS) research, where the use of mobile technology is an example of implementation options that can be made to implement this system.

In agriculture, crop yield and quality are critical for global food supply and human survival. Challenges such as plant leaf diseases necessitate a fast, automatic, economical, and accurate method. This paper utilizes deep learning, transfer learning, and specific feature learning modules (CBAM, Inception-ResNet) for their outstanding performance in image processing and classification. The ResNet model, pretrained on ImageNet, serves as the cornerstone, with introduced feature learning modules in our IRCResNet model. Experimental results show our model achieves an average prediction accuracy of 96.8574% on public datasets, thoroughly validating our approach and significantly enhancing plant leaf disease identification.

The COVID-19 outbreak on international cruise ships during the early stages of the pandemic has exposed deficiencies in the governance of public health emergencies within the framework of existing international law. These deficiencies encompass various aspects, including the shortcomings of the system of flag state jurisdiction, the vague definition and reasonableness of governments’ “additional health measures” as stipulated in the International Health Regulations (IHR) of 2005, the role of World Health Organization (WHO) in the protection of the fundamental rights of passengers and crew members during epidemic outbreaks on cruise ships, the application of the free pratique rule under the international health law, and other challenges that have not been adequately addressed in current international law. In the post-COVID era, it is essential to revisit these core issues of international law and reassess the allocation of responsibilities among all evolving actors to foster effective multilateral cooperation in epidemic control. This paper adopts the “Diamond Princess” incident as a case study, examining how such public health emergencies pose challenges to international laws, particularly when they occur within the context of a cruise ship. The paper argues that cooperation on global health emergencies will continue to be a challenge until responsibility is more clearly allocated among stakeholders. Additionally, the paper formulates three principles for enhancing governmental cooperation, namely the fairness principle, the nationality principle, and the principle of common but differentiated responsibilities. It is advisable to carefully consider these key principles when reevaluating the international laws on public health emergencies in the post-COVID era.

The worldwide COVID-19 pandemic has prompted significant transformations in several facets of human existence as it has disseminated over the globe, hence instigating extensive investigations into urban environments and public health. Recent research has investigated the correlation between cities, urban planning, and COVID-19. This signifies a shift in the urban planning paradigm. Resume focusing on and giving priority to health, particularly in relation to infectious diseases. This article seeks to elucidate the paradigm shift in cities and health as a result of due to the COVID-19 pandemic by employing a Systematic Literature Review. The research findings demonstrate a significant change in how health and cities are perceived due to the COVID-19 pandemic. This research also contributes novel insights into the significance of urban design that prioritises public health, particularly in relation to infectious diseases.

Foodborne diseases are a global health problem. Every year, millions of people die worldwide from these diseases. It has been determined that the high prevalence of these diseases is related to unfavorable socioeconomic conditions of the population. In this study, the relationship between foodborne diseases and socioeconomic conditions of the population was determined using principal component analysis as a multivariate statistical analysis technique. In this study, the socioeconomic variables of each Ecuador province and the prevalence of foodborne diseases (hepatitis A, salmonella, shigellosis and typhoid fever) during the years 2018 and 2019 were considered. The results show the relationship between foodborne diseases and the socioeconomic conditions of the population, as well as identifying regions more vulnerable to present high levels of prevalence of foodborne diseases, thus facilitating the implementation of social investment programs to reduce the prevalence of these diseases.