Spatial association between COVID-19 incidence rate and nighttime light index

Indirect and direct effects of nighttime light on COVID-19 mortality using satellite image mapping approach

The COVID-19 pandemic has highlighted the importance of understanding environmental factors in disease transmission. This study aims to explore the spatial association between nighttime light (NTL) from satellite imagery and COVID-19 mortality. It particularly examines how NTL serves as a pragmatic proxy to estimate human interaction in illuminated nocturnal area, thereby impacting viral transmission dynamics to neighboring areas, which is defined as spillover effect. Analyzing 43,199 COVID-19 deaths from national mortality data during January 2020 and October 2022, satellite-derived NTL data, and various environmental and socio-demographic covariates, we employed the Spatial Durbin Error Model to estimate the direct and indirect effect of NTL on COVID-19 mortality. Higher NTL was initially directly linked to increased COVID-19 mortality but this association diminished over time. The spillover effect also changed: during the early 3rd wave (December 2020 - February 2021), a unit (nanoWatts/sr/cm2) increase in NTL led to a 7.9% increase in neighboring area mortality (p = 0.013). In contrast, in the later 7th wave (July - September 2022), dominated by Omicron, a unit increase in NTL resulted in an 8.9% decrease in mortality in neighboring areas (p = 0.029). The shift from a positive to a negative spillover effect indicates a change in infection dynamics during the pandemic. The study provided a novel approach to assess nighttime human activity and its influence on disease transmission, offering insights for public health strategies utilizing satellite imagery, particularly when direct data collection is impractical while the collection from space is readily available.

"Urban-Satellite" estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors

While numerous studies over the last decade have highlighted the important influence of environmental factors on mental health, globally applicable data on physical surroundings are still limited. Access to such data and the possibility to link them to epidemiological studies is critical to unlocking the relationship of environment, brain and behaviour and promoting positive future mental health outcomes. The Adolescent Brain Cognitive Development (ABCD) Study is the largest ongoing longitudinal and observational study exploring brain development and child health among children from 21 sites across the United States. Here we describe the linking of the ABCD study data with satellite-based "Urban-Satellite" (UrbanSat) variables consisting of 11 satellite-data derived environmental indicators associated with each subject's residential address at their baseline visit, including land cover and land use, nighttime lights, and population characteristics. We present these UrbanSat variables and provide a review of the current literature that links environmental indicators with mental health, as well as key aspects that must be considered when using satellite data for mental health research. We also highlight and discuss significant links of the satellite data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides the foundation for large-scale environmental epidemiology research.

The resiliency of noncommunicable diseases services during the public health crisis: a lesson from Bangkok, Thailand

BACKGROUND

The healthcare services for non-communicable diseases (NCD) are commonly affected by public health crises like the COVID-19 pandemic. During the pandemic, all healthcare facilities in Bangkok had been overwhelmed by the extreme caseload of COVID-19. Health service resiliency is crucial for the continued service of healthcare facilities post pandemic. This study aims to explore the impacts of COVID-19 on NCD service disruption and addressed the resilience of healthcare services at the operational level.

METHODS

Healthcare facility-based surveys and in-depth interviews were conducted among representatives of the facilities in Bangkok from April 2021 to July 2021. The web-based, self-administered questionnaire, was sent to directors or authorities of all healthcare facilities in Bangkok Thailand (n = 169). Two healthcare facilities from three levels of health services were purposively selected. The directors or medical doctors and nurses who are in charge of the NCD service, and working at the six selected health facilities, were invited to participate in the in-depth interviews. Descriptive statistics were used to analyze the survey data, and thematic analysis was used to analyze the data from the in-depth interviews.

RESULTS

The impact of COVID-19 on NCD service disruption in the second wave (2021) was more severe than in the first wave (2020). The main reasons for NCD service disruptions are insufficient staff, and the closure of some services offered by the healthcare facilities. Surprisingly, both the budget and medical supply for healthcare facilities in Bangkok are less affected by the COVID-19 pandemic. Our study revealed resilience capability i.e. absorptive, adaptive, and transformative capabilityamong the healthcare facilities that provide a continuum of care by increasing availability and accessibility to healthcare services for chronic illness as DM. The service disruption in Bangkok may alter from other provinces because of variations in COVID-19 incidence and health services contexts.

CONCLUSION

During the public health crisis, using affordable and common digital technologies to ensure DM patients can access a continuum of care and providing alternative services such as mobile medical laboratories, medication delivery, and medical refill at drug stores can increase consistent monitoring of glycemic levels and use of prescribed medication.