Rethinking local resilience for extreme heat events.

OBJECTIVE: This study aims to provide insights into how local resilience structures in England can be leveraged to deliver a whole-of-society approach to managing a national response to extreme heat events during summer months. STUDY DESIGN: A communication based on the literature review of currently available research on health emergency response and extreme heat events in England. METHODS: This communication draws insights from the authors' research programmes, which examined national-level public health emergency response during the COVID-19 pandemic and literature review of the latest available English research on health and extreme heat events. RESULTS: Periods of extreme heat are on the rise in England. Local resilience forums (LRFs), due to their multiagency nature, offer a shared situational awareness and understanding of the need in their local communities. Such information is critical to ensure messaging about heat risks and available resources are tailored to reach specific targeted groups within their communities. Scenario planning and adaptation efforts require a more local articulation which LRFs are well placed to manage. CONCLUSIONS: LRFs are well suited as key structures in the English emergency response to extreme heat events. We suggest that English public health and hospital organisations, working with community partners via the LRFs, must develop their thinking about pressures from adverse weather in the summer months.

Extreme Heat and COVID-19 in New York City: An Evaluation of a Large Air Conditioner Distribution Program to Address Compounded Public Health Risks in Summer 2020.

In summer 2020, New York City (NYC) implemented a free air conditioner (AC) distribution program in response to the threats of extreme heat and COVID-19. The program distributed and installed ACs in the homes of nearly 73,000 older, low-income residents of public and private housing. To evaluate the program's impact, survey data were collected from October 2020 to February 2021 via mail and online from 1447 program participants and 902 non-participating low-income NYC adults without AC as a comparison group. Data were examined by calculating frequencies, proportions, and logistic regression models. Participants were 3 times more likely to report staying home during hot weather in summer 2020 compared to non-participants (adjusted odds ratio [AOR] = 3.0, 95% confidence interval [CI] = 2.2, 4.1), with no difference between groups in summer 2019 (AOR = 1.0, CI = 0.8, 1.3). Participants were less likely to report that 2020 hot weather made them feel sick in their homes compared to non-participants (AOR = 0.2, CI = 0.2, 0.3). The program helped participants-low-income residents and primarily people of color-stay home safely during hot weather. These results are relevant for climate change health-adaptation efforts and heat-health interventions.