Towards a Successful Post COVID-19 Transition of Monitoring, Evaluation, and Learning in Complex Sustainability Science Research-to-Policy Projects

Szabo, Sylvia; Nhau, Brighton; Tsusaka, Takuji W.; Kadigi, Reuben M. J.; Payne, Tanya; Kangile, Joseph Rajabu; Park, Kwang Soon; Couto, Matheus; Runsten, Lisen; Burgess, Neil D.

doi:10.3390/su13010387

Cited by 3 publications

(1 citation statement)

References 15 publications

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“…This incorporation makes a vital contribution to protecting both present and future generations and to reducing resource and health gaps between populations. In short, sustainability becomes a key element in the contribution of the field of global health to the structuring of a fairer and more responsible society [ 34 , 35 ].…”

Section: Resultsmentioning

confidence: 99%

Strategic Alliances in Global Health: Innovative Perspectives in the Era of Sustainable Development

Suarez-Herrera,

Abeldaño Zúñiga,

Díaz-Castro

2024

Healthcare

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This article discusses current challenges in the field of global health and the World Health Organization’s (WHO) strategies to address them. It highlights the importance of measuring the health impacts of global recession and globalization and the need for human-centered approaches to sustainable development. Emphasis is placed on commitment to health equity and the use of strategic partnerships for health at global, national, and local levels. Improving the health and well-being of populations, as well as public health equity, are core principles of the 2030 Agenda for the Sustainable Development Goals (SDGs). These principles are expressed in SDG 3, which promotes universal access to health services and systems and recognizes global health as a basic human right. It highlights the importance of strategic partnerships to combat emerging health crises, improve public health indices, and address the burden of chronic disease. These partnerships are contemplated in SDG 17 and are manifested in different modalities, such as network governance, cross-sector collaboration, public–private partnership, and social participation. This diversity of alliances has played an important role in scaling up and strengthening universal health systems around the world, including in Latin America and the Caribbean. The text concludes by presenting the essential characteristics of these inter-organizational and inter-institutional alliances in the field of global health.

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Section: Resultsmentioning

confidence: 99%

Strategic Alliances in Global Health: Innovative Perspectives in the Era of Sustainable Development

Suarez-Herrera,

Abeldaño Zúñiga,

Díaz-Castro

2024

Healthcare

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Tourism Vulnerability Amid the Pandemic Crisis: Impacts and Implications for Rebuilding Resilience of a Local Tourism System in Vietnam

et al. 2022

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Despite the devastating impact of the COVID-19 crisis on the global tourism industry, a few countries have attempted to foster their local tourism economies’ recovery by offering distinctive mechanisms which facilitate their safe tourism destinations to restart domestic tourism operations during the pandemic waves. However, there has been little research investigating how different sectors of a local tourism system, particularly in a developing country, seriously suffer from the pandemic crisis but gain encouraging revitalization from the pandemic shocks. Therefore, this study employed Can Tho city as a case study to examine the holistic impact of COVID-19 on different sectors of the local tourism industry and explore the key factors/players contributing to the resilience empowerment and adaptive recovery of the local tourism system. As such, a semi-structured interview approach was employed in this study to collect both quantitative and qualitative data. The study recruited 40 representatives of tourism-related authorities at different levels and 280 managers of different tourism sectors in the local tourism industry. The findings generally reveal the disastrous impacts of the pandemic on the local tourism industry across all tourism sectors but show an unexpected recovery of tourism businesses during the pandemic crisis. The integrated findings also highlight the pivotal role of local governments in crisis governance and destination recovery support during and after the pandemic waves. Similarly, the proactive engagement of local enterprises was found critical toward rebuilding their organizational resilience, and such adaptive transformations were essential for tourism business recovery in new normal conditions. The economic policy response and effective financial schemes were common expected measures toward the tourism industry’s recovery in the post-pandemic crisis.

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Framing Twitter Public Sentiment on Nigerian Government COVID-19 Palliatives Distribution Using Machine Learning

et al. 2021

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Sustainable development plays a vital role in information and communication technology. In times of pandemics such as COVID-19, vulnerable people need help to survive. This help includes the distribution of relief packages and materials by the government with the primary objective of lessening the economic and psychological effects on the citizens affected by disasters such as the COVID-19 pandemic. However, there has not been an efficient way to monitor public funds’ accountability and transparency, especially in developing countries such as Nigeria. The understanding of public emotions by the government on distributed palliatives is important as it would indicate the reach and impact of the distribution exercise. Although several studies on English emotion classification have been conducted, these studies are not portable to a wider inclusive Nigerian case. This is because Informal Nigerian English (Pidgin), which Nigerians widely speak, has quite a different vocabulary from Standard English, thus limiting the applicability of the emotion classification of Standard English machine learning models. An Informal Nigerian English (Pidgin English) emotions dataset is constructed, pre-processed, and annotated. The dataset is then used to classify five emotion classes (anger, sadness, joy, fear, and disgust) on the COVID-19 palliatives and relief aid distribution in Nigeria using standard machine learning (ML) algorithms. Six ML algorithms are used in this study, and a comparative analysis of their performance is conducted. The algorithms are Multinomial Naïve Bayes (MNB), Support Vector Machine (SVM), Random Forest (RF), Logistics Regression (LR), K-Nearest Neighbor (KNN), and Decision Tree (DT). The conducted experiments reveal that Support Vector Machine outperforms the remaining classifiers with the highest accuracy of 88%. The “disgust” emotion class surpassed other emotion classes, i.e., sadness, joy, fear, and anger, with the highest number of counts from the classification conducted on the constructed dataset. Additionally, the conducted correlation analysis shows a significant relationship between the emotion classes of “Joy” and “Fear”, which implies that the public is excited about the palliatives’ distribution but afraid of inequality and transparency in the distribution process due to reasons such as corruption. Conclusively, the results from this experiment clearly show that the public emotions on COVID-19 support and relief aid packages’ distribution in Nigeria were not satisfactory, considering that the negative emotions from the public outnumbered the public happiness.

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Towards a Successful Post COVID-19 Transition of Monitoring, Evaluation, and Learning in Complex Sustainability Science Research-to-Policy Projects

Cited by 3 publications

References 15 publications

Strategic Alliances in Global Health: Innovative Perspectives in the Era of Sustainable Development

Strategic Alliances in Global Health: Innovative Perspectives in the Era of Sustainable Development

Tourism Vulnerability Amid the Pandemic Crisis: Impacts and Implications for Rebuilding Resilience of a Local Tourism System in Vietnam

Framing Twitter Public Sentiment on Nigerian Government COVID-19 Palliatives Distribution Using Machine Learning

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