Using system effects modelling to evaluate food safety impact and barriers in low-income-countries: An example from urban Cambodia

Objective(s): The study tested the applicability to low-and-middle income settings of a System Effects model developed for high-income countries. The objective is to better understand the damage caused by foodborne diseases, and barriers for consumers in accessing safer food. Materials and methods: In January 2018, ten group sessions with 66 participants were held in Phnom Penh, Cambodia. Five were organized in low and five in middle income areas of the city. The participants, half of them women, were purposively recruited, of similar background but not knowing each other. Each group discussion consisted of two exercises that was completed by each participant individually. The first exercise mapped impacts to visually depict the complexity of peoples’ experience of unsafe food including damage caused, flows of effects, and interconnections between them. In the second exercise, barriers to avoiding unsafe food were illustrated. Circumstances, incidents, pre-existing conditions that make it harder to get safe food were described. Results: More than 600 consequence items of eating unsafe food were listed by all participants, with little variation between low and middle income groups as well as between men and women. While most concerned health and economic impact, women in the middle income group listed several social consequences. More than 250 items described barriers to accessing safe food, most dealing with lack of money, lack of accessibility as well as limitations to tell safe from unsafe food. The items were coded and grouped, adjacency matrices generated, impacts and barriers aggregated and the density of connections made between different impacts and barriers evaluated. Conclusions: The findings can help to understand impact and components of resilience that could help inform food safety intervention design

Selective Earth-Abundant System for CO2 Reduction: Comparing Photo- and Electrocatalytic Processes

The valorization of CO2 via photo- or electrocatalytic reduction constitutes a promising approach toward the sustainable production of fuels or value-added chemicals using intermittent renewable energy sources. For this purpose, molecular catalysts are generally studied independently with respect to the photo- or the electrochemical application, although a unifying approach would be much more effective with respect to the mechanistic understanding and the catalyst optimization. In this context, we present a combined photo- and electrocatalytic study of three Mn diimine catalysts, which demonstrates the synergistic interplay between the two methods. The photochemical part of our study involves the development of a catalytic system containing a heteroleptic Cu photosensitizer and the sacrificial BIH reagent. The system shows exclusive selectivity for CO generation and renders turnover numbers which are among the highest reported thus far within the group of fully earth-abundant photocatalytic systems. The electrochemical part of our investigations complements the mechanistic understanding of the photochemical process and demonstrates that in the present case the sacrificial reagent, the photosensitizer, and the irradiation source can be replaced by the electrode and a weak Brønsted acid. © 2019 American Chemical Society

Surveillance of climate-sensitive zoonotic diseases: Leptospirosis at livestock slaughterhouses in three regions of Uganda

Leptospirosis is an important bacterial zoonosis worldwide and is disproportionately associated with low-income settings and with extreme weather events due to climate change. Transmission to humans often occurs when infected rodents and domestic animals contaminate the environment via urine as the bacteria preferentially colonise kidneys. Surveillance of leptospirosis at slaughterhouses can therefore be useful in providing information on vast areas of a country and screening for diseases that are not considered during animal inspections. We determined the prevalence of Leptospira bacteria in the kidneys of 2,030 livestock kidney samples (820 cattle, 761 pigs, 335 goats, 114 sheep), and 117 small mammals by realtime PCR in a cross-sectional survey of slaughter facilities in three regions in Uganda. We extracted DNA and performed real-time polymerase chain reaction (PCR) tests targeting the lipL32 gene for pathogenic leptospires. Positive samples with cycle threshold values below 38 were further characterised using single locus sequence typing (SLST) to determine likely genomospecies. PCR products were sequenced by Eurofins Genomics (Ebersberg, Germany) and identification of genomospecies was done using the basic local alignment search tool (BLAST). Multi-locus sequencing typing (MLST) was performed on selected SLST-positive samples to determine sequence types (ST) and likely serogroups. The allelic profiles were analysed using Bionumerics software and the sequence types were determined using the PubMLST database. An overall prevalence of pathogenic leptospires of 2.58 % (95 % confidence intervals [CI]: 1.89–3.42) was observed, with sheep having the highest prevalence (6.12 % CI: 2.69–12.89), followed by cattle (4.25 %, 95 % CI: 2.91–5.98), goats (2.08 %, 95 % CI=0.91–4.38), and pigs (0.46 %, 95 % CI = 0.12–1.31) in decreasing order. The genomospecies L. borgpetersenii (11 in cattle and one in goat), L. kirschneri (five in cattle and four in sheep) and L. interrogans (one in a pig) were determined. Preliminary MLST results on one sample reveal L. kirschneri ST62 which is related to serogroup Grippotyphosa. Surveillance of important zoonoses using slaughterhouses as sentinels has the potential to offer essential information on the epidemiology of important zoonotic diseases in Uganda