Environmental hazard and health risks associated with slaughterhouses in Ibadan, Nigeria

Environmental and health hazards of residents domiciled around Africa’s largest landfill

“…Only 473 (64.2%) were retrieved comprising 73, 169 and 231 questionnaires in residential buildings situated within the respective strata. The response rates were considered suitable since Dada et al (2020) concluded that responses ranging between 30% and 60% are eligible.…”

“…The Dada et al (2020) analytical methods were adapted in determining how residents perceive the landfill-related hazards in the 3 km radius, precisely, within 1, 1-2 and 2-3 km radius of Olusosun and the identified seasons: the first being the cold months of April to July; the second was the relatively hot period in August (i.e. during the cessation of rainfall); the third was the end of rains or relatively cold months of September to November and the last was the hot months of December to March.…”

“…In Nigeria, these threats are often tolerated by the host community, who were given little or no public consultation in the siting processes. As a result, Dada et al (2020) opined that to neglect the opinions of residents who are neighbors to hazard-prone land use is tantamount to risking public health. It is pertinent to emphasize that two residents or groups of residents will not express the same opinion or judgment of the situation.…”

“…The Health Belief Model (HBM) is proficient in ascertaining two things successfully: the desire of residents to get well or avoid sickness (value) and residents' belief that their action could prevent them from getting sick (expectancy) (Lewin 1935;Maiman and Becker 1974;Champion and Skinner 2008). HBM consists of concepts such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy (Maiman and Becker 1974;Champion and Skinner 2008;Dada et al 2020). Residents' adopt healthy behaviors if they perceive they may be vulnerable to sickness (i.e.…”

“…perceived benefits or barriers) despite the risks. However, Dada et al (2020) opined that variables such as income, knowledge (awareness), gender, and age shaped residents' perceptions and responses to hazards. Other variables are the length of residency, educational status, work location, past experiences, rental values, land accessibility and residential mobility.…”