India is one of the countries with the highest number of vector-borne diseases. These diseases can cause a wide range of illnesses, such as dengue fever, malaria, chikungunya, and Zika virus, after being transmitted by vectors such as mosquitoes, ticks, and flies. Many factors influence the transmission of these diseases, including the environment, demographics, and human behavior (Tu, Wu, and Pedrycz 2023). As India's population increases, urbanization increases, and climate patterns change, vector-borne diseases have become one of the biggest challenges for the public health system (Olawore et al. 2023).
During the last few years, India has made significant progress in controlling and preventing the spread of vector-borne diseases. Although the country is making progress in achieving its health-related development goals, there is still a long way to go. There can be a significant impact on morbidity and mortality associated with these diseases, particularly in vulnerable populations. To ensure the continued development of the country and the wellbeing of its citizens, it is essential to minimize the impact of vector-borne diseases in India (Chen, Wu, and Luo 2023; Debnath et al. 2023; Kheybari and Ishizaka 2022).
In India, optimizing the impact of vector-borne diseases is critical by prioritizing their distribution based on their impact factors (Qin, Ma, and Liang 2023; H. Zhang et al. 2023). It is a systematic approach for determining the most important factors that contribute to the distribution of vector-borne diseases in India using the best-worst multicriteria decision-making method. With this method, it is possible to rank and prioritize factors according to their impact factor, which will aid in developing effective interventions and control measures (Besharati Fard et al. 2022; Munim et al. 2022).
A best-worst multicriteria decision-making method can help you decide when multiple factors need to be considered. By using this approach, decision makers can compare a set of criteria against each other and identify the factors that are most important. Using this method, decision-makers are asked to select the best and worst criteria among a set of alternatives by performing a series of pairwise comparisons (Ertunç and Uyan 2022; Liang, Brunelli, and Rezaei 2020; Alidoosti et al. 2021). In this way, each criterion is ranked according to its relative importance, and the process is repeated until a ranking of the criteria has been obtained (Sen, Dutta, and Kabir 2021; Ma, Li, and Wang 2021; Munim, Sornn-Friese, and Dushenko 2020).
A multicriteria decision-making method known as best-worst has been used in many fields for decision-making and resource allocation, such as healthcare, transportation, and environmental management (Malek and Desai 2019; Rezaei et al. 2016). Vector-borne diseases in India are influenced largely by environmental conditions, demographic factors, and human behavior, such as human behavior. Using this method can help identify these factors. Effective interventions and control strategies can be developed by identifying those risk factors that have the greatest impact on the health of individuals based on their impact factor (Moktadir et al. 2020; Dey et al. 2023).
In this article, we explore current literature on the transmission of mosquito-borne diseases in India and neighbouring countries, as well as factors that may affect their transmission risk (Rahmat et al. 2023; Shrivastava et al. 2023). The study will also identify the factors that have the potential to influence the introduction or spread of mosquito vectors. This study will examine factors related to the environment and climate, including climate change effects. The distribution of vector-borne diseases in India will be prioritized using the best-worst multicriteria decision-making method. To minimize India's vulnerability to vector-borne diseases, the studies will help develop effective strategies for public health intervention and control (Bisht et al. 2021; Ishwarya and Vaseeharan 2023).
For the country to continue to develop and ensure the wellbeing of its citizens, it is imperative to minimize the impact of vector-borne diseases (Manoj et al. 2020; Anisuzzaman et al. 2023). As a result, it is extremely important to prioritize their distribution based on their impact factors. The best-worst multicriteria decision-making technique can assist in this process by identifying the most important factors contributing to the distribution of vector-borne diseases in India (Belgamwar et al. 2022; Nguyen, Dantas-Torres, and Otranto 2021). The purpose of this study is to develop effective interventions and control strategies for vector-borne diseases in India by analyzing both environmental and climatic factors. The primary research question of this paper focuses on identifying and prioritizing vector-borne diseases in India (Manoj et al. 2020; Nguyen, Dantas-Torres, and Otranto 2021). The following research questions are included:
RQ1. Which vector-borne diseases are prevalent in India, and what factors influence their distribution and impact?
RQ2. How can vector-borne diseases in India be prioritized based on their impact factors using the best-worst multicriteria decision-making method?
RQ3. To prioritize the distribution of vector-borne diseases in India, what should be the key factors that should be considered, and how should these factors be weighted?
RQ4. To prioritize the distribution of vector-borne diseases in India, how can the best-worst multicriteria decision-making method be used?
RQ5. To inform public health officials and policymakers, what are the most effective ways to communicate the results of a best-worst multicriteria decision-making approach?
This research aims to identify and prioritize vector-borne diseases in India to optimize their impact (Ranjan 2021). Specifically, we aim to:
O1. An assessment of the impact of vector-borne diseases on health, social, and economic aspects of the country is intended to identify the key vector-borne diseases prevalent in the country.
O2. The purpose of this study is to determine the criteria that should be considered when prioritizing vector-borne diseases in India based on their impact factors.
O3. The aim of this study was to develop an impact-based multicriteria decision-making method for prioritizing the distribution of vector-borne diseases in India, based on their impact factors.
O4. Validate the results by consulting experts and applying a best-worst multicriteria decision-making model for addressing vector-borne diseases in India.
O5. Analysing the performance of multicriteria decision making to optimize vector-borne diseases in India based on best-worst decision making.
In the remainder of this paper, the following structure will be followed: section 2 summarize the Literature Review (Optimizing the impact of vector-borne diseases in India in India), section 3 Methodology (best-worst multicriteria decision-making method),section 4 outlined the Results (ranking of impact factor), section 5 Discussion (implications for optimization, comparison with previous studies), and in last section 6 Conclusion (key findings, recommendations, limitations, future research).