| Literature DB >> 33115599 |
Luxon Nhamo1, Bekithemba Ndlela2.
Abstract
The Covid-19 pandemic has exposed the fragility of linear and monocentric approaches in addressing today's complex, cross-cutting, and interconnected challenges. Experiences from the Covid-19 have shown that focusing on one sector during a crisis only aggravates the stresses in other sectors as decision-makers often view the world from a linear perspective, with the thought that a click of a button would get the economy and society back on track. This study argues that linearity forgets the interconnectedness of systems and how their systemic properties shape their interactions, interdependencies, and interrelationships, whereas nexus planning integrates and simplifies socio-ecological systems, indicates priority areas for intervention, and reduces risk and vulnerability. The lockdowns implemented during the peak of the Covid-19 pandemic resulted in job losses, company closures, and economic recessions, demonstrating that linear approaches often over-emphasise on a limited set of attributes of a system, notably efficiency, at the expense of other aspects. While linear approaches have been beneficial to some extent for long, the Covid-19 pandemic exposed how they transfer stresses to other sectors, and compromise resilience-building initiatives, allowing failure to cascade from one sector to the other. Nexus planning emphasises on cross-sectoral sustainability and enhances socio-economic resilience against future shocks.Entities:
Keywords: Covid-19; Nexus thinking; Public health; Resilience; Risk management; Zoonoses
Mesh:
Year: 2020 PMID: 33115599 PMCID: PMC7581326 DOI: 10.1016/j.envres.2020.110376
Source DB: PubMed Journal: Environ Res ISSN: 0013-9351 Impact factor: 6.498
Fig. 1Transformational and dynamic processes within a socio-ecological system, and the impacts on environmental and human health. Nexus planning simplifies these complex interactions and informs policy on the formulation of coherent strategies geared towards resilience and sustainability.
Sustainability indicators to establish relationships among the WHEN nexus. The indicators are the same as SDG indicators, and thus, the WHEN nexus can be used to assess progress towards SDGs.
| Component | Sub-component | Indicator | Units | SDG indicator |
|---|---|---|---|---|
| Water | Water security | Proportion of population using safely managed drinking water services | % | 6.1.1 |
| Proportion of bodies of water with good ambient water quality | % | 6.3.2 | ||
| Human health | WASH | Mortality rate attributed to unsafe water, unsafe sanitation, and lack of hygiene | per 100 K of pop | 3.9.2 |
| Environment | Functional ecosystem | Forest area as a proportion of total land area | % | 15.1.1 |
| Proportion of land that is degraded over total land area | % | 15.3.1 | ||
| Nutrition | Sustainable diets | Prevalence of moderate or severe food insecurity in the population | % | 2.1.2 |
| Prevalence of malnutrition | % | 2.2.2 |
Pairwise comparison matrix for WHEN indicators.
| Indicator | Pairwise comparison matrix | ||||||
|---|---|---|---|---|---|---|---|
| Water accessibility | Water quality | WASH mortality | Forested area | Degraded area | Food insecurity | Mal-nutrition | |
| Water accessibility | 1 | 1 | 1 | 1/4 | 1/2 | 1/3 | 1/2 |
| Water quality | 1 | 1 | 1 | 1/3 | 1/3 | 1/2 | 1 |
| WASH mortality | 1 | 1 | 1 | 1/2 | 1/3 | 1 | 1/2 |
| Forested area | 4 | 3 | 2 | 1 | 1 | 1/3 | 1/3 |
| Degraded area | 2 | 3 | 3 | 1 | 1 | 1/3 | 1/3 |
| Food insecurity 1 | 3 | 2 | 1 | 3 | 3 | 1 | 1 |
| Malnutrition | 2 | 1 | 2 | 3 | 3 | 1 | 1 |
Status of WHEN nexus indicators for South Africa in 2018.
| WHEN nexus | Indicator | Status 2018 |
|---|---|---|
| Water | Proportion of population using safely managed drinking water services (Water accessibility) | 74% |
| Proportion of bodies of water with good ambient water quality (Water quality) | 46.92% | |
| Human Health | Mortality rate attributed to unsafe water, unsafe sanitation, and lack of hygiene (WASH mortality) | 13.7/100 K pop |
| Environment | Forest area as a proportion of total land area (Forested area) | 7.6% |
| Proportion of land that is degraded over total land area (Degraded area) | 60% | |
| Nutrition | Prevalence of moderate or severe food insecurity in the population (Food insecurity) | 52% |
| Prevalence of malnutrition (Malnutrition) | 6.2% |
The WHEN nexus normalised pairwise comparison matrix and the composite indices.
| Indicator | Normalised pairwise comparison matrix | |||||||
|---|---|---|---|---|---|---|---|---|
| Water accessibility | Water quality | WASH mortality | Forested area | Degraded area | Food insecurity | Mal-nutrition | Indices | |
| WASH mortality | 0,071 | 0083 | 0,091 | 0028 | 0,055 | 0074 | 0,107 | 0073 |
| Water quality | 0,071 | 0083 | 0,091 | 0037 | 0,036 | 0111 | 0,214 | 0092 |
| WASH mortality | 0,071 | 0083 | 0,091 | 0055 | 0,036 | 0222 | 0,107 | 0095 |
| Forested area | 0,286 | 0250 | 0,182 | 0110 | 0,109 | 0074 | 0,071 | 0155 |
| Degraded area | 0,143 | 0250 | 0,273 | 0110 | 0,109 | 0074 | 0,071 | 0147 |
| Food insecurity | 0,214 | 0167 | 0,091 | 0330 | 0,327 | 0222 | 0,214 | 0224 |
| Malnutrition | 0,143 | 0083 | 0,182 | 0330 | 0,327 | 0222 | 0,214 | 0215 |
| ∑ = 1 | ||||||||
| 0.170 | ||||||||
Health risk classification categories for WHEN nexus indicators.
| Severe risk | High risk | Moderate risk | Low risk | |
|---|---|---|---|---|
| 0–09 | 0.1–0.2 | 0.3–0.6 | 0.7–1 |
Fig. 2Quantitative relationship among WHEN nexus indicators in South Africa.