Social Network Analysis

Although most cases of coronavirus disease 2019 (COVID-19) have occurred in low-resource countries, little is known about the epidemiology of the disease in such contexts. Data from the Indian states of Tamil Nadu and Andhra Pradesh provide a detailed view into severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission pathways and mortality in a high-incidence setting. Reported cases and deaths have been concentrated in younger cohorts than would be expected from observations in higher-income countries, even after accounting for demographic differences across settings. Among 575,071 individuals exposed to 84,965 confirmed cases, infection probabilities ranged from 4.7 to 10.7% for low-risk and high-risk contact types, respectively. Same-age contacts were associated with the greatest infection risk. Case fatality ratios spanned 0.05% at ages of 5 to 17 years to 16.6% at ages of 85 years or more. Primary data from low-resource countries are urgently needed to guide control measures.

/pdf/epidemiology-and-transmission-dynamics-of-covid-19-in-two-2w13f0tlz9.pdf

Epidemiology and transmission dynamics of COVID-19 in two Indian states

Although most COVID-19 cases have occurred in low-resource countries, there is scarce information on the epidemiology of the disease in such settings. Comprehensive SARS-CoV-2 testing and contact-tracing data from the Indian states of Tamil Nadu and Andhra Pradesh reveal stark contrasts from epidemics affecting high-income countries, with 92.1% of cases and 59.7% of deaths occurring among individuals

https://medrxiv.org/content/10.1101/2020.07.14.20153643v1.full.pdf

Patient care and clinical outcomes for patients with COVID-19 infection admitted to African high-care or intensive care units (ACCCOS): a multicentre, prospective, observational cohort study.

Why Are Some People Healthy and Others Not? The Determinants of Health of Populations

In the early months of the pandemic, most reported cases and deaths due to COVID-19 occurred in high-income countries. However, insufficient testing could have led to an underestimation of true infections in many low- and middle-income countries. As confirmed cases increase, the ultimate impact of the pandemic on individuals and communities in low- and middle-income countries is uncertain. We therefore propose research in three broad areas as urgently needed to inform responses in low- and middle-income countries: transmission patterns of SARS-CoV-2, the clinical characteristics of the disease, and the impact of pandemic prevention and response measures. Answering these questions will require a multidisciplinary approach led by local investigators and in some cases additional resources. Targeted research activities should be done to help mitigate the potential burden of COVID-19 in low- and middle-income countries without diverting the limited human resources, funding, or medical supplies from response activities.

/pdf/the-need-for-covid-19-research-in-low-and-middle-income-4fr5in898r.pdf

The need for COVID-19 research in low- and middle-income countries

Background As population health and well-being are influenced by multiple factors that cut across sectoral boundaries, an intersectoral approach that acknowledges and leverages the multiple determinants, actors and sectors at play is increasingly seen as critical for achieving meaningful and lasting improvements. In this study, we utilize social network analysis (SNA) to characterize the intersectoral collaboration between the organizations working on maternal & child health (MCH) and water & sanitation (WASH) before and immediately after the implementation of HCL Foundation (HCLF)-funded HCL Samuday Project (2015-2017) in a rural block of Uttar Pradesh state, India. While SNA has been used to examine public health issues, few have used it monitor stakeholder relationships, intervene, improve and facilitate project implementation involving intersectoral partnerships, particularly in the context of a low-and middle-income countries. Method An organization-level SNA was conducted with 31 key informants from 24 organizations working on MCH and/or WASH in Kachhauna, Uttar Pradesh, India. Data were collected using face-to-face, semi-structured interviews between June and September 2017. Density, centrality and homophily were calculated to describe the network and a qualitative analysis was also conducted to identify the strengths and weaknesses of collaboration between organizations working on MCH and WASH. Results Overall, our findings showed that the network of organizations working on MCH and WASH in Kachhauna grew in number since the implementation of Samuday. HCLF rapidly achieved centrality, thus positioning the organization to serve as a gatekeeper of information and enabling it to play a coordinator role within the network. Direct collaboration between other organizations working on MCH and WASH was low at both time points. Interviews with key informants indicated widespread interest in increasing interorganizational interactions and engagement throughout the network. Conclusion This study demonstrates the feasibility and practical application of SNA for projects like Samuday that involve intersectoral collaboration. It also provides lessons about the use of SNA with organizations as the unit of analysis and in the context of rural India, including challenges, practical considerations, and limitations.

/pdf/using-social-network-analysis-to-plan-promote-and-monitor-43wiecb2l1.pdf

Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India.

Diabetes is a major health problem worldwide, which is increasing day by day. Since ancient times, medicinal plants have been a key source of medicinal agents, and many of them have been authorized as strong medications or drug candidates. This study evaluated the antioxidant, α-glucosidase, and α-amylase inhibition activities of Erythropalum scandens Blume. The plant revealed the significant antioxidant and in vitro antidiabetic activity. The crude methanolic extract reported the highest antioxidant activity with an IC50 of 59.35 ± 5.47 μg/mL, followed by its dichloromethane (DCM) and ethyl acetate (EA) fractions with an IC50 of 66.45 ± 2.46 μg/mL and 80.46 ± 2.69 μg/mL, respectively, as compared to the standard quercetin’s IC50 value of 6.29 ± 1.02 μg/mL. Among the crude extract and its fractions, the EA fraction disclosed the significant inhibiting activity against α-glucosidase and α-amylase with an IC50 value of 17.92 ± 0.88 μg/mL and 44.51 ± 0.12 μg/mL, respectively. This research work has scientifically validated the traditional use of this plant.

/pdf/antioxidant-a-glucosidase-and-a-amylase-inhibition-1wmi23e9.pdf

Binita Adhikari

Papers

The need for COVID-19 research in low- and middle-income countries

Using social network analysis to plan, promote and monitor intersectoral collaboration for health in rural India.

Antioxidant, α-Glucosidase, and α-Amylase Inhibition Activities of Erythropalum scandens Blume

Nursing Students' Perception towards Career Choice