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All Journal African Multidisciplinary Journal of Sciences and Artificial Intelligence Kwaghe International Journal of Sciences and Technology
Jamil Hassan Abdulkareem
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Social Sciences

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Petrol Subsidy Removal as an Instrument for Greenhouse Gases Reduction in Nigeria Jamil Hassan Abdulkareem; Fatima Zahra Abubakar- Otaru; Ronas Richard
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 2 (2024): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v1i2.4122

Abstract

The removal of petrol subsidy in Nigeria has significantly reduced fuel consumption among the nation’s citizens from January 2023 to August 2023 and has caused untold hardship on the citizens of Nigeria. However, it is important to understand from environmental perspective that this development has contributed to a significant decline in green gases emission thereby reducing the negative impact on climate change. The aim of this research is to study the effect of petrol subsidy removal as an instrument for greenhouse gases reduction in Nigeria. Furthermore, a cross-section of Nigerians was interviewed on subsidy removal on petrol, however, 65 percent of low-income, 25 percent of middle-income earners while 10 Percent of higher-income earners have shown their dismay on subsidy removal in the country. This study adopted a qualitative and quantitative research approach so as to adequately describe the study’s aims and objectives. The data for this study were collected through primary and scientific database sources, web search engines, direct observation and relevant documents from the Nigeria Midstream and Downstream Petroleum Regulatory Authority (NMDPRA), International Monetary Fund, Climate Transparency Report and Nigerian News Papers.
Effects of Climate Variability on Malaria Prevalence in Bauchi Local Government Area, Bauchi State, Nigeria Mohammed Abdulsalam; Ahmed C. Abdullahi; Jamil Hassan Abdulkareem; Malam Lukman S. Sadiq
Kwaghe International Journal of Sciences and Technology Vol 2 No 2 (2025): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v2i2.5930

Abstract

This study examined the impact of climate variability on malaria prevalence in Bauchi Local Government Area, Nigeria, using a retrospective survey design. Archival data on climate variables, temperature (maximum and minimum), rainfall, and relative humidity, were obtained from the National Aeronautics and Space Administration (NASA), while epidemiological records of malaria cases were sourced from the Bauchi State Agency for the Control of HIV/AIDS, Tuberculosis, and Malaria (BACATMA), as well as from international databases including WHO, IPCC, and WMO. Data covering the period from 2008 to 2018 were analyzed using descriptive statistics, trend analysis, and Pearson’s correlation, implemented through SPSS version 26 and XLSTAT 2017. Trend analyses revealed notable climate variability, with annual rainfall peaking at 1301.83 mm in 2012 and reaching a low of 761.95 mm in 2016. Maximum temperatures ranged from 24.5°C in 2008 to 30.1°C in 2018, while relative humidity fluctuated between 52.5% in 2008 and 37.3% in 2018. Malaria cases exhibited a sharp increase from 2015, peaking in 2016 (291,607 cases), with consistently high figures in 2017 and 2018. Correlation analysis found no statistically significant relationship between malaria prevalence and rainfall (r = –0.050, p = 0.566), minimum temperature (r = 0.114, p = 0.194), or relative humidity (r = –0.080, p = 0.361). However, a strong positive and statistically significant correlation was observed between malaria prevalence and maximum temperature (r = 0.974, p = 0.030). These findings suggest that maximum temperature is a key climatic driver of malaria transmission in the region, highlighting the need for climate-informed disease surveillance and control strategies.
Co-Authors Ahmed C. Abdullahi Fatima Zahra Abubakar- Otaru Malam Lukman S. Sadiq Mohammed Abdulsalam Ronas Richard