Reimagining gendered community interventions: the case of family planning programs in rural Bangladesh.

Family planning programs in Bangladesh have been successfully operating for over half a century, achieving phenomenal reductions in fertility rates. Acknowledging restrictions on women's freedoms, much of the initial program design was concentrated on giving household supplies for women priority. However, one unfortunate impact of these outreach services is that, by bypassing the opportunity to challenge patriarchal attitudes directly, they inadvertently reinforce the power relationships of the status quo. Hence, we problematise the decision-making structures within Bangladesh's family planning programs. We argue that the fundamental flaw with Bangladesh's family planning program is the lack of conscious effort to understand women's health choices and decision-making as a complex contextual process of relational, structural, and institutional forces. Additionally, avoiding men in these programs often creates new dependencies for women, as this approach does not directly seek to build relational bridges based on equality between genders. As a result, many women still depend on permission from their husbands and family for reproductive health services and face constrained family planning choices and access to care. We recommend that family planning programs adopt a broader vision to create new and more sustainable possibilities in an ever-evolving social relations landscape where gender is constantly negotiated. Such strategies are even more pressing in the post-Covid world, as national systems are exposed to uncertainty and ambiguity.

Relative deprivation, inequality and the Covid-19 pandemic.

There is a growing concern that inequalities are hindering health outcomes. This paper's primary objective is to investigate the role of relative deprivation and inequality in explaining the daily spread of the Covid-19 pandemic. For this purpose, we use secondary cross-sectional data across 119 (developed and developing) countries from January 2020 - to April 2021. For the empirical analysis, we use a recent dynamic panel data modelling approach that allows us to identify the role of time-invariant variables such as degree of globalisation, political freedom and income inequality on the dynamics of the pandemic and fatality rates across countries. We find that new cases per million and fatality rates are highly persistent processes. After controlling for time-varying mobility statistics from the Google mobility database and region-specific dummy variables, the two significant factors that explain the severity of Covid-19 spread in a country are per-capita Gross Domestic Product (GDP) and Yitzhaki's relative income deprivation index. Lagged value of new cases per million significantly explains cross-country variations in the daily case fatality rates. A higher proportion of the older population and pollution increased fatality rates while better medical infrastructure reduced it.