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Zika virus (ZIKV) statistics in Honduras are the highest among countries in Central America. National risk communication strategies have primarily focused on vector control and are integrated into existing approaches for Dengue and Chikungunya. Given the new evidence on ZIKV, there is a need to revamp risk communication strategies so that they are informed by dynamic listening methods such as knowledge, attitudes, and practices. The paper aims to discuss this issue.

A cross-sectional survey was administered to 604 respondents in 21 designated Honduran communities using a two-stage, 30-cluster sampling method.

Almost eight out of ten Hondurans knew that Zika can be transmitted by the bite of a mosquito; however, only 2 and 0.1 percent, respectively, were aware that Zika can be spread by sexual intercourse and from a pregnant woman to her fetus. In total, four out of ten Hondurans knew that there is a causal relationship between Zika and microcephaly in newborns, and three out of ten knew that there is an association between Zika and Guillian-Barré syndrome. Overall, 50 percent of respondents said that they did not have enough information about the disease.

The findings of this study clearly identify information priority gaps that need to be urgently addressed by national stakeholders involved in public health activities to protect the most vulnerable population against Zika disease and its complications.

This study is the first of its kind in Central America to inform any national risk communication strategy since the inception of the ZIKV response, particularly among at risk populations.

The purpose of this study is to investigate labor congestion in the automotive industry in Mexico.

By using the cluster and subcluster definitions by Delgado et al. (2016) and relying on an efficiency and production function perspective, this study estimates a standard production function and measures marginal returns of labor at the regional cluster and subclusters levels. To assess whether wages affect the finding of congestion and productivity, the model also measures the individual impact of wages on both total productivity and marginal returns of labor.

Among other results, this paper finds evidence of labor congestion in the automotive cluster in Mexico. This congestion deepens with wages and it is specific to some regions and some subclusters.

The methods used are based on panel data techniques but are fundamentally cross-section in nature. The time period available may condition these findings.

To the authors’ knowledge, this is the first study reporting congestion in the automotive cluster in Mexico.

The purpose of this paper is to explore reasons behind meat consumption. It aims to find out what motivates meat consumers and explore the opportunities of social marketing to counteract negative environmental and health trends.

An exploratory Australian survey of Sydney consumer red meat choices is used covering dietary preferences, meat eating patterns, reasons and levels of concern for economic and environmental issues. Analysis of dietary guidelines and marketing campaigns in relation to the survey findings is conducted.

The survey highlights: lack of awareness about the link between meat consumption and environmental well-being; widespread inaccuracy of health messages related to meat consumption; influence of the meat industry in promoting excessive meat consumption; pervasiveness of the link between red meat consumption and national identity, social status, prestige and masculinity; and urgent need for government-supported social marketing interventions and the demarketing of meat.

This is the first study to propose social marketing based on the health and environmental co-benefits of reduced red meat consumption.

Marketplaces have been central to civilization, as they foster trade and social life. Marketplaces are built environment (BE) interventions which, when looked at through a historical lens, reflect inequalities and subsequent deployment by people of color (POC). While the resurgence of farmers’ markets is a positive stride towards food justice over the past three decades, studies show that the disparities of class inequality and geographic constraints are key limitations to access for vulnerable populations. The fundamental question of this paper is, how can farmers’ markets use data to strategize and plan in ways that better serve their communities and give them more control?

This paper brings together applied methods in marketplace research and spatial analytical processes geographic information systems (GISs) to inform the research questions through an intersectional model of analysis. Data analysis merges local data collected from the market organization using the Farm 2 Facts toolkit and publicly available data to conduct geospatial analysis of the markets and their surrounding context. Two case studies are explored in Cotati, CA, and Brownsville, TX.

Despite the similarities and nuances of the two case studies, the data show that both markets serve a narrow pool of customers extended a couple of miles from the market. (1) The markets are not serving communities with the most need. (2) Farmers’ markets need to increase affiliation with POC. (3) Farmers’ market locations can impact control over one's environment.

The research builds of Nussbaum's capabilities model and explores three capabilities that are in line with what markets (1) bodily health, (2) affiliation and perhaps most significantly (3) control over one's own environment. Farmers’ market location can impact control over one's environment.