The study area is located in Gasabo District, Kinyinya Sector (Figure 1). Gasabo district is one of four district of Kigali City and bordered by Kicukiro district (South), Nyarugenge (West), Rwamagana (East) and Rulindo and Gicumbi (North). The district’s landscape or surface area is 430.30 km² of which 90% represent rural areas ( District, 2014 ) and urban areas ( NISR, 2014 ). Kinyinya Sector is one of twelve sectors of Gasabo District, Nduba landfill is located in Nduba sector which in adjacent of Kinyinya sector. The target population for this study is households living in Kinyinya sector in cells bordering to Nduba landfill (for all Kigali City). Kinyinya sector was chosen purposively based on the location of the waste collection company, location of Nduba landfill and households living near landfill.

Data used in this study were collected from various disseminated census, survey reports, field visit, observation and information provided with households living in Gasharu and Kagugu of Kinyinya sector. The purposive sampling was used to choose Kinyinya sector within Gasabo District. The cells were chosen purposively based on the location of the waste collection company and sub-branches of the company in Kinyinya cells. The household in each cell was selected randomly.

The total Households of 8928 distributed in 13 villages ( Rwanda, 2012 ), were selected in Kagugu and Gasharu cells. To select the sample size among the population in Kagugu and Gasharu cell, the Equation (1) was used ( Slovin, 1960 ). Equation (1) helps to ascertain the sample of a given population of the study.

N is the total population; n is the sample size and 90% significance level or 0.1. During the research, 99 households living in villages of Kagugu and Gasharu cells in Kinyinya Sector were contacted. In Kagugu and Gasharu, systematic sampling technique was applied for selecting households’ interval in two respective cells. Household’s interval is calculated in Equation (2):

where k is the household interval, N is total population and n is sample size. The sample size is presented in Table 1.

The household distribution and housing in Kinyinya sector were recorded in research reported by ( Murangwa, 2018 ), Socio-Economic Survey ( Habakubaho, 2020 ).

Table 2 presents demographic characteristics of respondents of 99 households such as gender, marital status, educational level and years of living in Kinyinya Sector.

In other hands, waste handling is reported to be influenced with characteristics of respondents; it has been revealed that the key aspects of educating public improve knowledge on how to handle the waste ( Martin et al., 2006 ). Through the education level, household were not characterized with the high profile of education where only 6% had attended college or university, 30.3% completed secondary education and high percentage of respondent have completed the

elementary school (63.6%). The educated people are characterized with positive understanding on the effect of poor waste management on livelihood. With reference to gender, females’ respondents were 51.5% and male respondent were 48.5%. The 51% were male and 48% were female, and the average age of 39 years old.

Waste collection services are provided by private operators based on door-to-door collection; each household pay waste collection fees monthly. The company workers collect waste from each household to the company truck which transports the waste to Nduba landfill. Similar study has reported the same way of handling waste in Tanzania ( Kassim & Ali, 2006 ), but showed difference in structure. However, waste collection process is not done regularly which can result to human health and environment threat ( Manga et al., 2011 ; Bleck & Wettberg, 2012 ). The irregular service is mostly justified by limited capacities of collection companies and poor management system. The company in Kinyinya owns one or two collection trucks to provide services both to household and business entities. The business entities are considered the main customers of the service with higher priority.

In Table 3, it is shown that from 99 households assessed only 13.1% separate biodegradable and non-biodegradable solid waste and 86.9% of respondents

confirmed that they mix both biodegradable and non-biodegradable solid waste. The way people handled the waste presents a serious challenge to the local people in the vicinity. The way household store waste near the house hinders the performance of company workers to collect waste, such storage of cabbage include the mixing of biodegradable and non-biodegradable, sharp material ( Bleck & Wettberg, 2012 ). At the sector level, they have set the household waste payment system based on households’ income production and VUP structure. The collection frequency for household and waste from business entities are somehow different and include as an additional parameter for business entities. In Kinyinya sector, generally households are charged with Frw 2000 (USD2.10) for low and middle-income households and Frw 5000 (USD5.25) for high income households. However, the business entities are charged based on the volume of waste daily produced.

Before the beginning of implementation of new Kigali City Master Plan in 2013, more than 300 tons of solid waste were collected every day and dumped into unsanitary landfill located in Nduba in Gasabo District ( Isugi & Niu, 2016 ). The method of waste disposal at Nduba landfill is still the same as the method used at Nyanza landfill ( Kahigana, 2011 ), where wastes are deposited without separation and all landfills were created in short distance from households and hence causes the health risks. Disposal methods used at Nduba still expose citizens of City of Kigali to environmental and health hazards ( REMA, 2018 ). Recycling is done at low level for plastic and glass bottles that are in large quantities at Nduba landfill to the extent that they have formed a heap. These bottles are mainly from breweries and companies that produce mineral water. The recycling is done at low pace for plastics by Ecoplastic Co while glass bottles are transported to Tanzania and Uganda where they are recycled ( REMA, 2018 ). Previous research ( Karangwa, 2018 ), reported that Solid waste management became an important issue in Kigali City. They reported that batch of wastes can be observed in different areas such as roads, riversides and many other in open spaces, and this constitutes a serious challenge to the Kigali City and pause a threat to human beings in particular and environment in general, the accumulation of such wastes attract rats, insects, flies and many other pathogens which in turn cause problems, such as water contamination, infectious diseases like diarrheal ( Karangwa, 2018 ). Rwanda, being a densely populated country, is undergoing rapid urbanization and a high number of people are leaving rural areas to urban areas, this leads to an increasing of challenges associated with providing an effective basic infrastructure including solid waste management system ( Karangwa, 2018 ).

In general, common storage facility is used for all kind of waste produced at household level ( Suthar & Singh, 2015 ), which results in the immediate mixing of biodegradable and non-biodegradable waste. Different equipment is used for storage of unseparated waste, which comprises mainly cartons, plastic buckets and sugar and rice bags. Kigali City’s solid wastes are increasing in the quantity and quality as the number of population and economic activities are increasing ( Isugi & Niu, 2016 ), while the land for disposal is becoming scarce. Solid handling is serious challenges, some solid waste was packed from the household without separating biodegradable and non-biodegradable waste; this complicates the process at Nduba landfill. The consequence manifests in different forms such as spread of vermin and flies to the surrounding population which causes hygienic diseases, this was reported previously with different research ( Minghua et al., 2009 ; REMA, 2018 ). As seen in Figure 2, some households or businesses (boutique and bars) drop wastes in non-proper area, if the wastes are not transported to landfill on time, the waste piled up in improper area are transported by water.

In Figure 2(a) illustrates places where people dump waste on road around the plots in Kinyinya, which is located on the map in Figure 3. Figure 2(b) shows the stock of waste deposited around the house, which present threats to health ( Ko et al., 2020 ), Figure 2(c) showed a place where wastes were dumped in and

around the water canal ( Reza & Yousuf, 2016 ), In addition to the poor waste management in different households, Figure 2(d) illustrates the way business entities put together the wastes while waiting for the truck which transport them to Nduba landfill but still wastes are not separated. The poor waste handling exposes people’s lives and may cause livelihood problems to people in the area. Some people were reported to use the pit to handle the generated waste near their households, when the pits are located on the top of the hill or near the valley, if it rains heavily, they are likely to overflow and spread into the neighborhood and contaminate water and crops ( Kim et al., 2015 ). This leads to spread of disease to the neighboring population ( REMA, 2018 ). In other hand waste generated in rural area are treated through the composting process ( Mihai, 2012 ; Mihai, 2015 ; Mihai & Ingrao, 2018 ). In addition, there are 29 households on the gill in Rebero village, Gatunga Cell which are exposed to the health threats from Nduba landfill. Some households are located within 400 meters of the landfill and when it rains, solid waste slides towards their residences. Apart from the households, workers in Nduba landfill are highly exposed to serious health risks ( REMA, 2018 ). It has indicated that low level of knowledge and poor waste management practices is the main reason of mishandling of the waste in the landfill and across the households ( Pant, 2012 ). Lack of appropriate inspection exposes the landfill to harmful waste which is dangerous to the environment and health ( REMA, 2018 ). Failure to monitor gases produced and emitted from the landfill lead to adverse impacts to the population in the vicinity of the landfill. The decomposition of the organic matter in anaerobic conditions generates methane gas which is a global warming gas and can cause combustion if not eliminated or reduced ( REMA, 2018 ). Figure 3 illustrated the garbage collection point in Kinyinya sector and Figure 2 illustrated the view of management of the garbage in different collection sites.

The liquid waste (leachate) generates from the landfill is an environmental concern, contributes to bad smell, pollution of surface water, and nitrate contamination of groundwater. Ammonia emissions also contribute to the formation of fine particulates, which have a negative impact on animal and human health ( REMA, 2018 ). Table 4 presents main mode of rubbish disposal (waste management) adopted by households in Rwanda. It illustrates the different strategy of handling the waste at household level including the Compost heaps on the household’s own property and disposal in the household’s fields in semi-urban and rural. The bushes dumping and Compost heap on own property are the main methods of rubbish disposal with 46.5% and 42.5% respectively. Very few households mainly dispose their rubbish in rivers, lakes or ditches, or burn it which represents a percentage of 0.2%. The use of rubbish collection services in urban areas was reported to be 42.1%. On the other hand, in the rural areas the percentages of households disposing their rubbish directly in bushes or fields were indicated to be 50%. According to EICV5 (5^th Household living Condition Survey) results ( Eurofound, 2012 ), Compost heaps on the household’s own

Source: Murangwa, 2018.

property and disposal in the household’s fields and bushes are the main methods of rubbish disposal with 43% and 47% respectively ( Murangwa, 2018 ). The use of rubbish collection services in urban areas between EICV4 ( Perent-Thirion et al., 2007 ) and EICV5 ( Eurofound, 2012 ), has increased from 36% to 42%. On the other hand, in the rural areas the percentage of households disposing their rubbish directly in bushes or fields has increased from 42% to 50% between EICV4 and EICV5. This change has been mostly pronounced in Eastern Province ( Murangwa, 2018 ).

Solid wastes composition in Kinyinya sector as shown in Figure 4 is mainly made by food residues up to 68%, paper with 9%, metal with 2% and textiles with 1%. Previous research indicated that if organic waste is diverted for composting, it can be beneficial to agricultures ( Nakasaki et al., 2005 ; Karnchanawong & Suriyanon, 2011 ), as above 70% of the population engaged in the agriculture sector in Rwanda. The agricultural sector accounts for 33% of the national GDP ( BNR, 2015 ).

In general, Rwanda’s GDP has been growing at the rate of 7% since 2014 ( BNR, 2015 ). Currently, Kigali City has more than one million populations and the main landfill for waste is Nduba dumpsite. Nduba landfill was created in 2015 and is located in Muremure Cell, Nduba sector, Gasabo District and was designed to receive 450 tons of solid waste per day which includes between 300 to 350 tones centrally collected waste per day ( Isugi & Niu, 2016 ).

Table 5 indicates that from 99 households, only 41.4% household reported minor impact of waste to member of their families, however, 58.6% of household reported that member of their families has contracted with waste borne disease. The finding illustrated that the skin infection was reported to be (19.2%), tuberculosis

(9.1%), diarrhea (16.2%), intestinal parasites (8.1%) and RUTI/ Respiratory Infections (6.1%). The effect of poor waste handling on public health was linked to throat infections, breathing ( Kumar et al., 2017 ), dermatitis infections, skin irritation ( Jerie, 2016 ) and respiratory disease ( Ziraba et al., 2016 ). Waste borne diseases are likely to affect children and scavengers.

Table 5 indicates that deposit of solid waste near houses influence the children contamination which reflects in different kind of illness. The workers in the landfill are highly exposed to serious health risks ( REMA, 2018 ). Bivariate analysis was performed for the households and their status for spearing decay waste from non-decay waste and their status for household member who suffered poor waste management diseases. The findings showed that Pearson correlation or r = 0.845 and P < 0.001, which reveal positive and strong correlation between solid waste management and its impact on people’s livelihood.