This study employed multiple regression analysis to evaluate the impact of weather variables (relative humidity, rainfall amount and maximum temperature) on the reported number of Lassa fever cases and to assess the strength of relationship between same for thirteen states in northern Nigeria (Adamawa, Bauchi, Jigawa, Borno, Kaduna, Katsina, Kano, Kebbi, Sokoto, Taraba, Yobe, Zamfara and Gombe states) over a five-year period (2016-2020). Secondary data on Lassa fever disease and weather variables were described on a weekly basis from the data base of the Nigeria Centre for disease control (NCDC) as well as weather variables from the National Aeronautics Space Administration, U.S.A. (NASA).  The study seeks to establish the role of weather in the occurrence of Lassa fever in parts of Northern Nigeria and also to evaluate the impact of these weather variables on the occurrence of the disease. The study reveals that these weather variables accounted for 70% (r2=0.70) of the cases of Lassa fever reported in Northern Nigeria. It occurred all year round but cases peaked during the dry months, from December to March where relative humidity is low and rainfall amount small. At confidence level of 0.05, there was a significant (p=0.000) strong positive correlation of r=0.83 between Lassa fever cases and weather variables. Of the three weather parameters, maximum temperature had a weak positive and insignificant (p=0.3) relationship with Lassa fever while relative humidity and rainfall had strong and moderate negative relationships of r = -0.7 and r = -0.5 respectively which were both significant at (r2=0.000).  In conclusion, there is need to cultivate sufficient preparedness strategies in order to cope with the burden to ensure general wellbeing of people resident in these affected areas using these weather parameters.

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This paper reports the variations in household's solid waste management practices in Bauchi metropolis, the administrative headquarters of Bauchi state, Nigeria. The study approach is quantitative using questionnaire survey as the major instrument for data collection. Data analysis covers the socio economic attributes of respondents and the different practices of solid waste storage, collection, transportation and final disposal. The study involved 150 households that were selected using systematic random sampling in three existing residential zones in the study area. The result of the analysis showed that both variations and similarities existed in the solid waste management practice between the three residential densities within the metropolis. Therefore, recommendations of specific options for solid waste management practice were based on residential densities in the study area.

This study examines the relationship between Meningitis and weather parameters (air temperature, maximum temperature, relative humidity, and rainfall) in Kaduna state, Nigeria on a weekly basis from 2007–2019. Meningitis data was acquired weekly from Nigeria Centre for Disease Control (NCDC), Bureau of Statistics and weather parameters were sourced from daily satellite data set National Oceanic and Atmospheric Administration (NOAA), International Research Institute for Climate and Society (IRI). The daily data were aggregated weekly to suit the study. The data were analysed using linear trend and Pearson correlation for relationship. The linear trend results revealed a weekly decline in Cerebro Spinal Meningitis (CSM), wind speed, maximum and air temperature and an increase in relative humidity and rainfall. Generally, results reveal that the most important explanatory weather variables influencing CSM amongst the five (5) are the weekly maximum temperature and air temperature with a positive correlation of 0.768 and 0.773. This study recommends that keen interest be placed on temperature as they play an essential role in the transmission of this disease and most times aggravate the patients' condition.