Browsing by Author "Yusuf, Abdulmumin"

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    Effect of Climate variability on malaria infection in Isuikwuato Local Government Area of Abia State/ Nigeria
    (Department of Environmental Management, Nasarawa State University Keffi, 2019-12-20) Anzaku, I.M.; Alkali, Mohammed; Yusuf, Abdulmumin; Ubangari, Yakubu A.
    This study assesses the effect of climate variability on malaria infection in Isuikwuato Local area of Abia state/ Nigeria. Both primary and secondary sources of data where employed. The data for this study were processed and analyzed quantitatively. The quantitative data were analyzed using both descriptive and inferential statistics with the help of Microsoft excel/ and spas statistical package version 16. The descriptive statistics that was used consists of central tendency and the tie series trend analysis, the inferential statistics employed in the study were a linear regression and the person product momenc correlation. The result revealed an increase in rainfall experience in the year 1005-1008. Majority of respondents 58% were aware of climate change. Majority of respondents agreed that there increase temperature and number of sunny days 54% 51% of the delivery that an increase in rainfall in area was as a result of climate change. Government at Local/ National and international level should put more effort in combating malaria disease so as to achieve sustainable development.
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    EFFECT OF TEMPERATURE ON HUMAN HEALTH AND COMFORT IN GWAGWALADA LGA, FCT ABUJA, NIGERIA
    (Department of Environmental Management, Nasarawa State University Keffi, 2019-12-12) Anzaku, I.M.; Alkali, Mohammed; Yusuf, Abdulmumin; Ubangari, Y.A.
    This research assesses the effect of temperature on human health and comfort in Gwagwalada LGA; FCT Abuja; Nis^ia'. Both primary and secondary source of a data were used for the study. The nature of the secondary data of the study were time series data on climate variable (in this case being temperature) for a period of twenty years (2000-2019). *5° copies of structured questionnaire were administered to 150 and respondents in the study area. The data was processed and analyzed both quantitatively and qualitatively. The qualitative data was analyzed using both descriptive statistics with the help of Microsoft excel/ and IBM SPSS statistical package version 26. The descriptive statistics that was used consists of central tendency and the time series trend analysis. The result of the finding revealed that there is an increasing trend in annual maximum temperature and average maximum temperature 62 percent. Majority of the respondents were a ware of climate change. The finding also revealed that majority of the respondents agreed that climate change has an impact on human health and general comfort. The finding also shows that increase in temperature (heat) in the area makes residents weak and unable to carry limit performance/ and sound sleep. The finding also indicates diseases such as diarrhoea and gastroenteritis/ yellow fever/ malaria and cholera to be associated with wave in the area. It is recommended that government as all level should play a vital role in order to reduce and tackle discusses associated with high temperature in the area.