Background: Coronavirus disease (COVID-19) is a respiratory and systemic disorder caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) or novel Coronavirus (nCoV). To date, there is no proven curative treatment for this virus; as a result, prevention remains to be the best strategy to combat coronavirus infection (COVID-19). Vitamin D deficiency (VDD) has been proposed to play a role in coronavirus infection (COVID-19). However, there is no conclusive evidence on its impact on COVID-19 infection. Therefore, the present review aimed to summarize the available evidence regarding the association between Vitamin D levels and the risk of COVID-19 infection.Methods: A systematic literature search of databases (PUBMED/MEDLINE, Cochrane/Wiley library, Scopus, and SciELO) were conducted from May 15, 2020, to December 20, 2020. Studies that assessed the effect of vitamin D level on COVID-19/SARS-2 infection were considered for the review. The qualities of the included studies were evaluated using the JBI tools. Meta-analysis with a random-effects model was conducted and odds ratio with their 95%CI were reported. This systematic review and meta-analysis are reported according to the preferred reporting items for systematic review and meta-analysis (PRISMA) guideline.Results: The electronic and supplementary searches for this review yielded 318 records from which, only 14 of them met the inclusion criteria. The qualitative synthesis indicated that vitamin D deficient individuals were at higher risk of COVID-19 infection as compared to vitamin D sufficient patients. The pooled analysis showed that individuals with Vitamin-D deficiency were 80% more likely to acquire COVID-19 infection as compared to those who have sufficient Vitamin D levels (OR = 1.80; 95%CI: 1.72, 1.88). Begg's test also revealed that there was no significant publication bias between the studies (P = 0.764). The subgroup analysis revealed that the risk of acquiring COVID-19 infection was relatively higher in the case-control study design (OR = 1.81).Conclusions: In conclusion, low serum 25 (OH) Vitamin-D level was significantly associated with a higher risk of COVID-19 infection. The limited currently available data suggest that sufficient Vitamin D level in serum is associated with a significantly decreased risk of COVID-19 infection.

Land is a scarce resource in the highlands of Ethiopia. Its sustainable use is highly affected by bio-physical and institutional factors. The purpose of this research is to investigate farmers' perceptions about land quality, land fragmentation and tenure systems and their influences on sustainable land management (SLM) investments in the North Western Ethiopian Highlands. The study is based on a detailed farm survey among 300 households and 1,700 parcels in three watersheds. Simple descriptive statistics were applied to analyse the perception of farmers about land-related factors. A multivariate probit (MVP) model was used to analyse the effect of land-related factors on the interdependent investment decisions of SLM practices (Bunds, Compost/Manure and Fertilizer) using a multiple parcel-level survey. The study shows that on average, sample households managed 4·54 parcels in different locations with an average parcel size of 0·26 ha. The MVP model analysis indicates that farmers invest a combination of practices at parcel level by considering substitution and complementarity effects of the practices. The results also reveal how land quality (e.g. slope and soil fertility status), land fragmentation (parcel size and distance of parcel from homestead) and tenure arrangements influence farmers' investments in SLM practices. The overall results indicate that farm land attributes promote or hinder investments, and tenure systems regulate the decisions about investments. Policy makers should take into consideration these various land-related factors in designing and implementing SLM policies and programmes.

Soil and water conservation (SWC) practices have been promoted in the highlands of Ethiopia during the last four decades. However, the level of adoption of SWC practices varies greatly. This paper examines the drivers of different stages of adoption of SWC technologies in the north-western highlands of Ethiopia. This study is based on a detailed farm survey among 298 households in three watersheds. Simple descriptive statistics were applied to analyze the stages of adoption. An ordered probit model was used to analyze the drivers of different stages of adoption of SWC. This model is used to analyze more than two outcomes of an ordinal dependent variable. The results indicate that sampled households are found in different phases of adoption, i.e., dis-adoption/non-adoption (18.5 %), initial adoption (30.5 %), actual adoption (20.1 %), and final adoption (30.9 %). The results of the ordered probit model show that some socio-economic and institutional factors affect the adoption phases of SWC differently. Farm labor, parcel size, ownership of tools, training in SWC, presence of SWC program, social capital (e.g., cooperation with adjacent farm owners), labor sharing scheme, and perception of erosion problem have a significant positive influence on actual and final adoption phases of SWC. In addition, the final adoption phase of SWC is positively associated with tenure security, cultivated land sizes, parcel slope, and perception on SWC profitability. Policy makers should take into consideration factors affecting (continued) adoption of SWC such as profitability, tenure security, social capital, technical support, and resource endowments (e.g., tools and labor) when designing and implementing SWC policies and programs.