Estimating prevalence of post-war health disorders using multiple systems data.

Effective surveillance on the long-term public health impact due to war and terrorist attacks remains limited. Such health issues are commonly under-reported, specifically for a large group of individuals. For this purpose, efficient estimation of the size or undercount of the population under the risk of physical and mental health hazards is of utmost necessity.

Waiting for Care and Community Organizing for Serious Health-Related Suffering in Kerala, India.

We explore the temporalities that shape and alleviate serious health-related suffering among those with chronic and terminal conditions in Kerala, India. Drawing on ethnographic fieldwork between 2009 and 2019, we examine the entanglements between waiting for care within dominant institutions and the community organizing that palliates this waiting. Specifically, people navigate multiple medical institutions, experience loneliness and abandonment, loss of autonomy, and delays and denials of recognition as they wait for care.

The effects of food anthropomorphism on consumer behavior: A systematic literature review with integrative framework and future research directions.

Anthropomorphizing or humanizing food is a common marketing practice that has gained significant scholarly attention in the past few years. The present systematic review analyzes articles that examined the effects of anthropomorphizing various food and food ingredients on consumers' behavior to synthesize the existing body of work into an integrative framework, provide managerial recommendations, and identify avenues for future research. Using the Prisma 2020 statement for systematic reviews, a systematic search of four databases (EBSCO, PubMed, SCOPUS, and Web of Science) for peer-reviewed, quantitative articles published in English till the March 10, 2023 was undertaken, resulting in a final number of 21 articles meeting our selection criteria.

Economic geography of contagion: a study of COVID-19 outbreak in India.

Unlabelled: We propose a mechanism based on regional inequality in economic activity to explain the heterogeneity in the spread of COVID-19 and test it using data from India. Contagion is expected to spread at a higher rate in regions characterized by greater movement of goods and services. We argue that mobility is higher in regions with greater degree of intra-regional inequality in economic activity.

A probabilistic fuzzy goal programming model for managing the supply of emergency relief materials.

The post-disaster humanitarian logistic operations deal with the supply of emergency relief materials to mitigate damages in the affected areas. Immediately after the disaster, it is challenging to estimate the demand for emergency relief materials. As a result, the demand for such materials at the point of demand and the corresponding transportation costs for the entire supply chain network becomes uncertain.

Comorbidities and Risk Factors for Severe Outcomes in COVID-19 Patients in Saudi Arabia: A Retrospective Cohort Study.

Purpose: The first novel coronavirus disease-19 (COVID-19) case in the Kingdom of Saudi Arabia (KSA) was reported in Qatif in March 2020 with continual increase in infection and mortality rates since then. In this study, we aim to determine risk factors which effect severity and mortality rates in a cohort of hospitalized COVID-19 patients in KSA.

Method: We reviewed medical records of hospitalized patients with confirmed COVID-19 positive results via reverse-transcriptase-polymerase-chain-reaction (RT-PCR) tests at Prince Mohammed Bin Abdulaziz Hospital, Riyadh between May and August 2020.

Impact of lifestyle diseases on income and household consumption: evidence from an emerging economy.

With increase in lifestyle diseases such as diabetes, hypertension and heart disease in emerging economies, it is important to understand the impact of acquiring these health issues on household income and consumption. Using a panel data of Indian households, we show that acquiring diabetes, hypertension or heart disease results in increased medical and non-medical expenses for high-income households. However, affected low-income households, to meet their increased medical expenses, had to divert resources from non-medical expenses.

Containing a pandemic with public actions and public trust: the Kerala story.

We study the Covid pandemic in the Indian state of Kerala, and document the state's remarkable success in containing the pandemic's first wave. By identifying Kerala's initial conditions when it was hit by the pandemic, and different components of the state's Covid policy, we conclude: While being subject to resource constraints faced by an Indian state located in a federal structure, Kerala contained its first Covid wave by preemptively formulating a comprehensive set of government actions that were supported and complemented by the state's citizens. This was achieved by leveraging and reinforcing the citizen's in the state.

Business models shifts: Impact of Covid-19.

No amount of crystal ball gazing may help us fathom the full impact of the Covid-19 (C-19) crisis on business organizations in a distinct manner. Given the lack of precedence, any such analyses seem to demand routine revisions as we progress further up the "number of infected" curve. Most countries of the world have imposed restrictions on social congregations or even people working in close proximity to each other.

Translation of a community palliative care intervention: Experience from West Bengal, India.

: The community form of palliative care first constructed in Kerala, India has gained recognition worldwide. Although it is the subject of important claims about its replicability elsewhere, little effort has gone into studying how this might occur. Drawing on translation studies, we attend to under-examined aspects of the transfer of a community palliative care intervention into a new geographic and institutional context.

Evaluation of world's largest social welfare scheme: An assessment using non-parametric approach.

Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) is the world's largest social welfare scheme in India for the poverty alleviation through rural employment generation. This paper aims to evaluate and rank the performance of the states in India under MGNREGA scheme. A non-parametric approach, Data Envelopment Analysis (DEA) is used to calculate the overall technical, pure technical, and scale efficiencies of states in India.

Mapping Systemic Risk: Critical Degree and Failures Distribution in Financial Networks.

The financial crisis illustrated the need for a functional understanding of systemic risk in strongly interconnected financial structures. Dynamic processes on complex networks being intrinsically difficult to model analytically, most recent studies of this problem have relied on numerical simulations. Here we report analytical results in a network model of interbank lending based on directly relevant financial parameters, such as interest rates and leverage ratios.

Highly efficient factorial designs for cDNA microarray experiments: use of approximate theory together with a step-up step-down procedure.

A general method for obtaining highly efficient factorial designs of relatively small sizes is developed for cDNA microarray experiments. It allows the main effects and interactions to be of possibly unequal importance. First, the approximate theory is employed to get an optimal design measure which is then discretized.