Academia was no exception to the widespread impact of Coronavirus Disease (COVID-19). There is only a small amount of research conducted with regard to the consequences of the Pandemic in Fiji. Thus, in order to gather a longitudinal dataset, a cross-sectional survey was conducted from February to August 2020. 300 physical education and sports teachers used Google Forms to complete an online survey. There are questions on the form about age, gender, marital status, and other daily activities. A similar survey was conducted to study the long-term psychological effects (coronavirus fear and fascination with COVID-19). The characteristics of society have been explored. Efforts have been made to use different sets of psychological data, showing the anticipated results. Sex, age, marital status, and family type are significantly affected by stress, anxiety, sexual satisfaction, and social support. There is a substantial difference between marital status, gender, and social support when it comes to the Pandemic. According to research findings, fifty per cent of secondary school physical education and sports teachers in Fiji may have been affected by the Pandemic. Considerations should be taken to keep teachers calm during a pandemic. Because of this, it is necessary to submit some practical recommendations in order to minimize the adverse effects of this problem.

The nexus between mass tourism and politics has been widely validated in tourism literature; nonetheless, the impacts of political putsches on ecotourism are understudied in the context of the Pacific Islands, i.e., Fiji. This study aims to investigate how Fiji's political upheavals impacted ecotourism after examining ecotourist arrivals and revenue generated at KNHP from its inception till 2018. Additionally, it presents a comparative analysis of Fiji coups on tourism and ecotourism and examines the recovery pattern of ecotourism in the post-coup stage. The study implies both empirical and non-empirical methods. This research is based on field visits to the Abaca ecotourism project, Lautoka, from 2017 to 2019, and has employed quantitative data of Abaca's tourist revenue records; supplemented by conducting oral unstructured interviews of the Abaca project manager through talanoa sessions. The collected data were analyzed using Microsoft Excel 2010 and STATA and Augmented Dickey Fullar (ADF) test to check the stationarity. The research has defied the antecedent arguments of the failure of ecotourism projects in Fiji and made a first-ever comparative analysis of ecotourism data with mass tourism in relation to post-coup recovery tenure. It postulates an apparent correlation of the success of this ecotourism park with the democratically elected government of Fiji. The Abaca ecotourist park displayed potential to emerge as an ecotourism hub in the entire South Pacific, provided the democratically elected government could sustain in Fiji, which has been tagged as ‘coup-coup land’. Henceforth, this study can be replicated for similar destinations in the world.

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Assessment of the geomorphometric parameters using RS and GIS tools assumes an imperative part in routing the runoff and the remaining hydrological processes. The current study demonstrates a geospatial model based on geomorphometric parameters for the categorization of surface runoff and identification of the erosion-prone areas within the watershed. The 4th order Kuttiyadi river is dominated by a dendritic to semi-dendritic drainage pattern in the subwatersheds. The linear aspect of subwatersheds indicates the subwatersheds have a structurally permeable surface and subsurface materials with uniform lithology. The aerial and relief aspects of the subwatersheds shows fine drainage texture, gentle slopes, delayed peak flow, flatter hydrograph, and large time of concentration which indicates subwatersheds are quite capable to manage flash floods during storm events. The estimated values of surface runoff and sediment production rate are range from 2.13-32.88 km2-cm/km2 and 0.0004-0.017 Ha-m/100km2/year respectively and suggest that SW1 will generate more surface runoff and prone to soil erosion followed by SW2 while compare to the other subwatersheds. As a result of this paper, reliable assessment of peak flooding and relevant basic knowledge will be provided to decision-makers and policymakers responsible for establishing suitable policies and sustainable land use practices for the watershed.