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Maternal and newborn health disparities and the health impacts of climate change present grand challenges for global health equity, and there remain knowledge gaps in our understanding of how these challenges intersect. This study examines the pathways through which mothers are affected by seasonal and meteorological factors in sub-Saharan Africa in general, and Kanungu District (Uganda), in particular. We conducted a community-based study consisting of focus group discussions with mothers and interviews with health care workers in Kanungu District. Using a priori and a posteriori coding, we found a diversity of perspectives on the impacts of seasonal and weather exposures, with reporting of more food available in the rainy season. The rainy season was also identified as the period in which women performed physical labour for longer time periods, while work conditions in the dry season were reported to be more difficult due to heat. The causal pathways through which weather and seasonality may be affecting size at birth as reported by Kanungu mothers were consistent with those most frequently reported in the literature elsewhere, including maternal energy balance (nutritional intake and physical exertion output) and seasonal illness. While both Indigenous and non-Indigenous mothers described similar pathways, however, the severity of these experiences differed. Non-Indigenous mothers frequently relied on livestock assets or opportunities for less taxing physical work than Indigenous women, who had fewer options when facing food shortages or transport costs. Findings point to specific entry points for intervention including increased nutritional support in dry season periods of food scarcity, increased diversification of wage labour opportunities, and increased access to contraception. Interventions should be particularly targeted towards Indigenous mothers as they face greater food insecurity, may have fewer sources of income, and face greater overall deprivation than non-Indigenous mothers. [ABSTRACT FROM AUTHOR]

Dengue is highly endemic in Peru, with increases in transmission particularly since vector re-infestation of the country in the 1980s. Pucallpa, the second largest city in the Peruvian Amazon, experienced a large outbreak in 2012 that caused more than 10,000 cases and 13 deaths. To date, there has been limited research on dengue in the Peruvian Amazon outside of Iquitos, and no published review or critical analysis of the 2012 Pucallpa dengue outbreak. This study describes the incidence, surveillance, and control of dengue in Ucayali to understand the factors that contributed to the 2012 Pucallpa outbreak. We employed a socio-ecological autopsy approach to consider distal and proximal contributing factors, drawing on existing literature and interviews with key personnel involved in dengue control, surveillance and treatment in Ucayali. Spatio-temporal analysis showed that relative risk of dengue was higher in the northern districts of Calleria (RR = 2.18), Manantay (RR = 1.49) and Yarinacocha (RR = 1.25) compared to all other districts between 2004 and 2014. The seasonal occurrence of the 2012 outbreak is consistent with typical seasonal patterns for dengue incidence in the region. Our assessment suggests that the outbreak was proximally triggered by the introduction of a new virus serotype (DENV-2 Asian/America) to the region. Increased travel, rapid urbanization, and inadequate water management facilitated the potential for virus spread and transmission, both within Pucallpa and regionally. These triggers occurred within the context of failures in surveillance and control programming, including underfunded and ad hoc vector control. These findings have implications for future prevention and control of dengue in Ucayali as new diseases such as chikungunya and Zika threaten the region. [ABSTRACT FROM AUTHOR]

Abstract: In much of sub-Saharan Africa, availability of standardized and reliable public health data is poor or negligible. Despite continued calls for the prioritization of improved health datasets in poor regions, public health surveillance remains a significant global health challenge. Alternate approaches to surveillance and collection of public health data have thus garnered increasing interest, though there remains relatively limited research evaluating these approaches for public health. Herein, we present a case study applying and evaluating the use of expert knowledge sources for public health dataset development, using the case of vector distributions of Human African Trypanosomiasis (HAT) in Uganda. Specific objectives include: 1) Review the use of expert knowledge sourcing methods for public health surveillance, 2) Review current knowledge on tsetse vector distributions of public health importance in Uganda and the methods used for tsetse mapping in Africa; 3) Quantify confidence of the presence or absence of tsetse flies in Uganda based on expert informant reports, and 4) Assess the reliability and potential utility of expert knowledge sourcing as an alternative or complimentary method for public health surveillance in general and tsetse mapping in particular. Information on tsetse presence or absence, and associated confidence, was collected through interviews with District Entomologist and Veterinary Officers to develop a database of tsetse distributions for 952 sub-counties in Uganda. Results show high consistency with existing maps, indicating potential reliability of modeling approaches, though failing to provide evidence for successful tsetse control in past decades. Expert-sourcing methods provide a novel, low-cost and rapid complimentary approach for triangulating data from prediction modeling where field-based validation is not feasible. Data quality is dependent, however, on the level of expertise and documentation to support confidence levels for data reporting. Results highlight the need for increased evaluation of alternate approaches and methods to data collection. [Copyright &y& Elsevier]

Background: Current literature emphasizes the need to implement informed consent according to indigenous principles and worldviews. However, few studies explicitly address how informed consent can be effectively and appropriately obtained in indigenous communities in accordance with research ethics guidelines. Methods: This article uses participatory rural appraisal methods to identify and characterize community preferences for informed consent in two indigenous communities in the Peruvian Amazon, using Canadian federal research regulations and McGill University's Research Ethics Board as a case study to examine where institutional ethics guidelines constrain or support culturally appropriate notions of informed consent. Results: The study emphasizes the importance of tailoring informed consent procedures to community circumstances. Although both communities in this case study are located in the Peruvian Amazon, there were important distinctions between them, such as gender dynamics and social structure, which profoundly affected informed consent procedures. It is also important to consider the balance of collectivism and individualism at a community level in order to determine the role of individual and community consent. Conclusion: Research ethics guidelines generally allow for this contextualized approach. However, regulations still have the potential to constrain indigenous informed consent due to content requirements for informed consent forms, limited flexibility for modifications in the field, and requirements for individual consent. [ABSTRACT FROM PUBLISHER]

Abstract Local public health authorities often lack the capacity to adapt to climate change, despite being on the 'front lines' of climate impacts. Upper-level governments are well positioned to create an enabling environment for adaptation and build local public health authorities' capacity, yet adaptation literature has not specified how upper-level governments can build local-level adaptive capacity. In this paper we examine how federal and regional governments can contribute to enabling and supporting public health adaptation to climate change at the local level in federal systems. We outline the local level's self-assessed adaptive capacity for public health adaptation in Canadian and German comparative case studies, in terms of funding, knowledge and skills, organizations, and prioritization, drawing upon 30 semi-structured interviews. Based on interviewees' recommendations and complemented by scientific literature, we develop a set of practical measures that could enable or support local-level public health adaptation. We find that adaptive capacity varies widely between local public health authorities, but most report having insufficient funding and staff for adaptation activities. We propose 10 specific measures upper-level governments can take to build local public health authorities' capacity for adaptation, under the interrelated target areas of: building financial capital; developing and disseminating usable knowledge; collaborating and coordinating for shared knowledge; and claiming leadership. Federal and regional governments have an important role to play in enabling local-level public health adaptation, and have many instruments available to them to fulfill that role. Selecting and implementing measures to enable local public health authorities' adaptive capacity will require tailoring to, and consideration, of the local context and needs. Highlights • Local public health authorities often lack capacity to adapt to climate change. • National and regional governments can play supportive or enabling role. • We propose 10 concrete measures to enable local public health adaptation. [ABSTRACT FROM AUTHOR]