Case Study Analysis – SWEDEN : HTR Task Users TCP by IEA

This report was developed under the ‘Users Technology Collaboration Programme (TCP) by the International Energy Agency (IEA) Task on Hard-to-Reach (HTR) Energy Users’. The Task aims to provide country participants with the opportunity to share and exchange successful approaches identifying and better engaging HTR energy users. Under the Task, HTR energy users are broadly defined as 'any energy user from the residential and non-residential sectors, who uses any type of energy or fuel, and who is typically either hard-to-reach physically, underserved, or hard to engage or motivate in behaviour change, energy efficiency and demand-side interventions’

To what extent has COVID-19 impacted hard-to-reach energy audiences?

Energy users who don’t participate in efficiency and conservation programmes despite ongoing outreach are often referred to as ‘Hard-to-Reach’ (HTR). These individuals or organisations can include, e.g., low income or vulnerable households; renters; and small businesses. More effectively engaging HTR audiences is key to ensuring everyone benefits equitably from low-carbon energy transitions and related (policy) interventions. This is even more so the case in light of the COVID-19 pandemic, and the ongoing implications for energy use and affordability for the most vulnerable (and newly-vulnerable) members of our society.Within this context, the main purpose of this paper is to explore the extent to which HTR energy audiences have been impacted by COVID-19. Our primary method for this work was a comprehensive, critical literature review and a compilation of official statistics. We also collected survey, interview and focus group data during 2020 COVID-19 pandemic responses in the U.S., UK, NZ and Sweden. The geographical scope is determined by a 3-year project focusing on HTR energy users and implemented in partnership with the User-Centred Energy Systems Technology Collaboration Programme (Users TCP) by the International Energy Agency (IEA). Key findings we highlight and discuss in this paper:● Sweden has taken a different approach to manage COVID-19, yet when it comes to mobility, declines in demand (~25%) have shown relatively similar patterns to countries with stricter measures. ● In the UK, energy debt is growing due to higher domestic consumption arising from lockdown measures and the reduced income of many households. Most households (72%) have increased their energy (monthly gas and electricity bills are up £32) use. In response, 36% are turning thermostats down and 27% limiting lighting.● In the U.S., a survey of 1,000 energy customers found that more than 50% are using more energy, and monitoring their energy use less; 15% reported postponing a utility bill. ● NZ’s model COVID-19 “elimination” response has included housing, financial support, and specific energy payments to date, though unhealthy and unaffordable housing remains a major issue.Whereas the pandemic has exacerbated several elements of the HTR policy discourse (e.g. impacts on vulnerable and/or low-income households), our findings also reveal several opportunities and critical aspects for policy makers, researchers and utilities to identify and engage HTR energy users

Statistical analyses in disease surveillance systems

The performance of disease surveillance systems is evaluated and monitored using a diverse set of statistical analyses throughout each stage of surveillance implementation. An overview of their main elements is presented, with a specific emphasis on syndromic surveillance directed to outbreak detection in resource-limited settings. Statistical analyses are proposed for three implementation stages: planning, early implementation, and consolidation. Data sources and collection procedures are described for each analysis

Impact of two interventions on timeliness and data quality of an electronic disease surveillance system in a resource limited setting (Peru): a prospective evaluation

<p>Abstract</p> <p>Background</p> <p>A timely detection of outbreaks through surveillance is needed in order to prevent future pandemics. However, current surveillance systems may not be prepared to accomplish this goal, especially in resource limited settings. As data quality and timeliness are attributes that improve outbreak detection capacity, we assessed the effect of two interventions on such attributes in Alerta, an electronic disease surveillance system in the Peruvian Navy.</p> <p>Methods</p> <p>40 Alerta reporting units (18 clinics and 22 ships) were included in a 12-week prospective evaluation project. After a short refresher course on the notification process, units were randomly assigned to either a phone, visit or control group. Phone group sites were called three hours before the biweekly reporting deadline if they had not sent their report. Visit group sites received supervision visits on weeks 4 & 8, but no phone calls. The control group sites were not contacted by phone or visited. Timeliness and data quality were assessed by calculating the percentage of reports sent on time and percentage of errors per total number of reports, respectively.</p> <p>Results</p> <p>Timeliness improved in the phone group from 64.6% to 84% in clinics (+19.4 [95% CI, +10.3 to +28.6]; p < 0.001) and from 46.9% to 77.3% on ships (+30.4 [95% CI, +16.9 to +43.8]; p < 0.001). Visit and control groups did not show significant changes in timeliness. Error rates decreased in the visit group from 7.1% to 2% in clinics (-5.1 [95% CI, -8.7 to -1.4]; p = 0.007), but only from 7.3% to 6.7% on ships (-0.6 [95% CI, -2.4 to +1.1]; p = 0.445). Phone and control groups did not show significant improvement in data quality.</p> <p>Conclusion</p> <p>Regular phone reminders significantly improved timeliness of reports in clinics and ships, whereas supervision visits led to improved data quality only among clinics. Further investigations are needed to establish the cost-effectiveness and optimal use of each of these strategies.</p

Syndromic Surveillance: Adapting Innovations to Developing Settings

The tools and strategies of syndromic surveillance, say the authors, hold promise for improving public health security in developing countries