Dataset Information

Local responses to global sustainability agendas: learning from experimenting with the urban sustainable development goal in Cape Town.

ABSTRACT: The success of the Sustainable Development Goal 11 (SDG 11) depends on the availability and accessibility of robust data, as well as the reconfiguration of governance systems that can catalyse urban transformation. Given the uneven success of the Millennium Development Goals, and the unprecedented inclusion of the urban in the SDG process, the feasibility of SDG 11 was assessed in advance of its ratification through a series of urban experiments. This paper focusses on Cape Town's participation in piloting SDG 11, in order to explore the role of urban experimentation in highlighting the partnership arrangements necessary to allow cities to meet the data and governance challenges presented by the SDG 11. Specifically, we focus on the relationship between data and governance that lie at the heart of the SDG 11. The urban experiment demonstrates the highly complex and multi-level governance dynamics that shape the way urban experiments are initiated, executed and concluded. The implications of these dependencies illustrate that more attention needs to be paid at the global level to what data are important and how and where the data are generated if SDG 11 is to be met. Overall, this paper makes the case that the success of SDG 11 rests on effecting local level change and enabling real opportunities in cities.

SUBMITTER: Patel Z

PROVIDER: S-EPMC6086247 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Local responses to global sustainability agendas: learning from experimenting with the urban sustainable development goal in Cape Town.

Patel Zarina Z Greyling Saskia S Simon David D Arfvidsson Helen H Moodley Nishendra N Primo Natasha N Wright Carol C

Sustainability science 20171004 5

The success of the Sustainable Development Goal 11 (SDG 11) depends on the availability and accessibility of robust data, as well as the reconfiguration of governance systems that can catalyse urban transformation. Given the uneven success of the Millennium Development Goals, and the unprecedented inclusion of the urban in the SDG process, the feasibility of SDG 11 was assessed in advance of its ratification through a series of urban experiments. This paper focusses on Cape Town's participation ...[more]

PMID: 30147761

Similar Datasets

Project description:MotivationSanitation and Water for All (SWA) is a global partnership addressing challenges to universal water, sanitation, and hygiene (WaSH) access. Shortly following adoption of the United Nations' Sustainable Development Goals, the Research and Learning (R&L) constituency of SWA undertook a systematic study to determine global research priorities and learning needs.PurposeWe aimed to identify priority topics where improved knowledge would aid achievement of Goal 6, by developing a global WaSH research agenda, and to describe evidence-use challenges among WaSH professionals.Approach and methodsWe delivered a tailored, semi-structured electronic questionnaire to representatives from countries, R&L institutions, and other SWA partners (external support agencies, civil society, and private sector). The survey gathered views from 76 respondents working in an estimated 36 countries across all world regions. Data were analyzed quantitatively and qualitatively to identify patterns and themes.FindingsMost responses indicated lowered confidence on at least one Goal 6 target area, especially managing untreated wastewater and faecal sludge. Both brief and lengthy information formats were valued. WaSH information was perceived as conflicting or unreliable among non-R&L constituencies, suggesting differences in perceptions and information-seeking approaches. While the R&L constituency appeared saturated with learning and training opportunities, others perceived barriers to participating (e.g. not receiving notice or invitation). Research and other WaSH activities were frequently constrained by upward accountability to funders, while stakeholders were inconsistently included in research processes.Policy implicationsThis study offers insight into perceived research and decision challenges related to Goal 6 targets. It develops a unified research agenda focused on high priority topics, and recommends renewed attention to evidence synthesis, learning and implementation support, research engagement, and multisectoral coordination.

Project description:BACKGROUND:Tuberculosis (TB) is the leading cause of death in South Africa. The burden of disease varies by age, with peaks in TB notification rates in the HIV-negative population at ages 0-5, 20-24, and 45-49 years. There is little variation between age groups in the rates in the HIV-positive population. The drivers of this age pattern remain unknown. METHODS:We developed an age-structured simulation model of Mycobacterium tuberculosis (Mtb) transmission in Cape Town, South Africa. We considered five states of TB progression: susceptible, infected (latent TB), active TB, treated TB, and treatment default. Latently infected individuals could be re-infected; a previous Mtb infection slowed progression to active disease. We further considered three states of HIV progression: HIV negative, HIV positive, on antiretroviral therapy. To parameterize the model, we analysed treatment outcomes from the Cape Town electronic TB register, social mixing patterns from a Cape Town community and used literature estimates for other parameters. To investigate the main drivers behind the age patterns, we conducted sensitivity analyses on all parameters related to the age structure. RESULTS:The model replicated the age patterns in HIV-negative TB notification rates of Cape Town in 2009. Simulated TB notification rate in HIV-negative patients was 1000/100,000 person-years (pyrs) in children aged <5 years and decreased to 51/100,000 in children 5-15 years. The peak in early adulthood occurred at 25-29 years (463/100,000 pyrs). After a subsequent decline, simulated TB notification rates gradually increased from the age of 30 years. Sensitivity analyses showed that the dip after the early adult peak was due to the protective effect of latent TB and that retreatment TB was mainly responsible for the rise in TB notification rates from the age of 30 years. CONCLUSION:The protective effect of a first latent infection on subsequent infections and the faster progression in previously treated patients are the key determinants of the age-structure of TB notification rates in Cape Town.

Dataset Information

Local responses to global sustainability agendas: learning from experimenting with the urban sustainable development goal in Cape Town.

Publications

Local responses to global sustainability agendas: learning from experimenting with the urban sustainable development goal in Cape Town.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets