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Naqvi SAA, Sajjad M, Tariq A, Sajjad M, Waseem LA, Karuppannan S, Rehman A, Hassan M, Al-Ahmadi S, Hatamleh WA. Societal knowledge, attitude, and practices towards dengue and associated factors in epidemic-hit areas: Geoinformation assisted empirical evidence. Heliyon 2024; 10:e23151. [PMID: 38223736 PMCID: PMC10784149 DOI: 10.1016/j.heliyon.2023.e23151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Revised: 11/25/2023] [Accepted: 11/28/2023] [Indexed: 01/16/2024] Open
Abstract
Dengue is one of Pakistan's major health concerns. In this study, we aimed to advance our understanding of the levels of knowledge, attitudes, and practices (KAPs) in Pakistan's Dengue Fever (DF) hotspots. Initially, at-risk communities were systematically identified via a well-known spatial modeling technique, named, Kernel Density Estimation, which was later targeted for a household-based cross-sectional survey of KAPs. To collect data on sociodemographic and KAPs, random sampling was utilized (n = 385, 5 % margin of error). Later, the association of different demographics (characteristics), knowledge, and attitude factors-potentially related to poor preventive practices was assessed using bivariate (individual) and multivariable (model) logistic regression analyses. Most respondents (>90 %) identified fever as a sign of DF; headache (73.8 %), joint pain (64.4 %), muscular pain (50.9 %), pain behind the eyes (41.8 %), bleeding (34.3 %), and skin rash (36.1 %) were identified relatively less. Regression results showed significant associations of poor knowledge/attitude with poor preventive practices; dengue vector (odds ratio [OR] = 3.733, 95 % confidence interval [CI ] = 2.377-5.861; P < 0.001), DF symptoms (OR = 3.088, 95 % CI = 1.949-4.894; P < 0.001), dengue transmission (OR = 1.933, 95 % CI = 1.265-2.956; P = 0.002), and attitude (OR = 3.813, 95 % CI = 1.548-9.395; P = 0.004). Moreover, education level was stronger in bivariate analysis and the strongest independent factor of poor preventive practices in multivariable analysis (illiterate: adjusted OR = 6.833, 95 % CI = 2.979-15.672; P < 0.001) and primary education (adjusted OR = 4.046, 95 % CI = 1.997-8.199; P < 0.001). This situation highlights knowledge gaps within urban communities, particularly in understanding dengue transmission and signs/symptoms. The level of education in urban communities also plays a substantial role in dengue control, as observed in this study, where poor preventive practices were more prevalent among illiterate and less educated respondents.
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Affiliation(s)
- Syed Ali Asad Naqvi
- Department of Geography, Government College University Faisalabad, Faisalabad, 38000, Punjab, Pakistan
| | - Muhammad Sajjad
- Department of Geography, Government College University Faisalabad, Faisalabad, 38000, Punjab, Pakistan
| | - Aqil Tariq
- Department of Wildlife, Fisheries and Aquaculture, College of Forest Resources, Mississippi State University, 775 Stone Boulevard, Mississippi State, 39762-9690, MS, USA
| | - Muhammad Sajjad
- Centre for Geo-computation Studies and Department of Geography, Hong Kong Baptist University, Hong Kong Special Administrative Region, China
| | - Liaqat Ali Waseem
- Department of Geography, Government College University Faisalabad, Faisalabad, 38000, Punjab, Pakistan
| | - Shankar Karuppannan
- Department of Applied Geology, School of Applied Natural Sciences, Adama Science and Technology University, Adama P.O. Box 1888, Ethiopia
| | - Adnanul Rehman
- Shaanxi Key Laboratory of Earth Surface System and Environmental Carrying Capacity, College of Urban and Environmental Sciences, Northwest University, Xi'an, 710127, China
| | - Mujtaba Hassan
- Department of Space Science, Institute of Space Technology, Main Islamabad Expressway, Islamabad, Pakistan
| | - Saad Al-Ahmadi
- Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia
| | - Wesam Atef Hatamleh
- Department of Computer Science, College of Computer and Information Sciences, King Saud University, P.O. Box 51178, Riyadh, 11543, Saudi Arabia
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Feng Y, Ahmad M, Waseem LA. Analysis of environmental sustainability and economic development from electricity consumption based on the modified spatial Durbin model. Heliyon 2023; 9:e19755. [PMID: 37810119 PMCID: PMC10559052 DOI: 10.1016/j.heliyon.2023.e19755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 08/21/2023] [Accepted: 08/31/2023] [Indexed: 10/10/2023] Open
Abstract
The study investigates the impacts of financial development, electricity use, and technology innovation on CO2 emissions. International trade also plays an essential role in the economic development of Pakistan. Studying the relationship between ecological parameters, technological innovation, electricity use, and CO2 emissions is necessary to formulate the country's reasonable and practical energy policies. Based on the study's use of data from 292 Pakistani firms from 2006 to 2021, the paper investigates the mechanism of the role between financial development, electricity use, technological innovation, international trade, and CO2 emissions using the spatial Durbin model. The results reveal that the effect of economic growth, electricity use, and technological innovation on CO2 emissions has a spatial spillover effect. The results verify that international trade and the transport sector promote the country's carbon emissions. The typical speculation spike on technology innovation enhanced and financial development should concentrate more on protective ecological parameters. The research provides theoretical guidance for solving the contradictory problem of renewable energy use growth and CO2 emission limitation while promoting green and low-carbon development in the country.
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Affiliation(s)
- Yanchao Feng
- College of Management and Economics, Tianjin University, Tianjin, China
| | - Muneeb Ahmad
- Department of Finance, Riphah International University, Islamabad, Pakistan
| | - Liaqat Ali Waseem
- Department of Geography, Government College University, Faisalabad, Pakistan
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Wang Y, Ahmad S, Waseem LA, Akhter S, Jihane M. Corporate social responsibility stimulus on environmental problems: Spatial threshold model analysis. PLoS One 2023; 18:e0286033. [PMID: 37352231 PMCID: PMC10289454 DOI: 10.1371/journal.pone.0286033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/05/2023] [Indexed: 06/25/2023] Open
Abstract
A popular subject of general interest is the connection between corporate social responsibility, research and development, tax policy, and the purchase of green bonds. To encourage the coordinated growth of the economy and a pollution-free environment, it is crucial to understand how they interact. The paper develops a theoretical framework based on the general equilibrium theory's multi-sector model to examine how tax competition affects environmental degradation. The existence of such an effect, which is a threshold effect resulting from corporate social responsibility (CSR), and how it is impacted by CSR are theoretically established. The study used Moroccan province panel data from 2000 to 2022 and the spatial panel threshold model. The empirical finding demonstrates the importance of the threshold impact of CSR since reduced tax competition tends to worsen environmental degradation when CSR is above the threshold value and to reduce it when CSR is below the threshold value. The study also reveals that the impact of tax competitiveness varies regionally. Several policy suggestions are then put out to assist Morocco in reducing environmental pollution through taxation.
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Affiliation(s)
- Yu Wang
- Shandong Research Institute of Industrial Technology, Shandong, China
| | - Saleem Ahmad
- School of Business, Guangdong University of Foreign Studies, Guangzhou China
| | - Liaqat Ali Waseem
- Department of Geography, Government College University Faisalabad, Faisalabad, Pakistan
| | - Sonia Akhter
- School of Management and Economics, University of Electronics Science and Technology of China, Chengdu, China
| | - Mokhchy Jihane
- School of Management and Economics, University of Electronic Science and Technology of Chengdu, Chengdu, China
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