| 1. |
- Arisco, Nicholas J, et al.
(författare)
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The effect of extreme temperature and precipitation on cause-specific deaths in rural Burkina Faso : a longitudinal study
- 2023
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Ingår i: The Lancet Planetary Health. - : Elsevier. - 2542-5196. ; 7:6, s. e478-e489
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Tidskriftsartikel (refereegranskat)abstract
- Background: Extreme weather is becoming more common due to climate change and threatens human health through climate-sensitive diseases, with very uneven effects around the globe. Low-income, rural populations in the Sahel region of west Africa are projected to be severely affected by climate change. Climate-sensitive disease burdens have been linked to weather conditions in areas of the Sahel, although comprehensive, disease-specific empirical evidence on these relationships is scarce. In this study, we aim to provide an analysis of the associations between weather conditions and cause-specific deaths over a 16-year period in Nouna, Burkina Faso.Methods: In this longitudinal study, we used de-identified, daily cause-of-death data from the Health and Demographic Surveillance System led by the Centre de Recherche en Santé de Nouna (CRSN) in the National Institute of Public Health of Burkina Faso, to assess temporal associations between daily and weekly weather conditions (maximum temperature and total precipitation) and deaths attributed to specific climate-sensitive diseases. We implemented distributed-lag zero-inflated Poisson models for 13 disease-age groups at daily and weekly time lags. We included all deaths from climate-sensitive diseases in the CRSN demographic surveillance area from Jan 1, 2000 to Dec 31, 2015 in the analysis. We report the exposure–response relationships at percentiles representative of the exposure distributions of temperature and precipitation in the study area.Findings: Of 8256 total deaths in the CRSN demographic surveillance area over the observation period, 6185 (74·9%) were caused by climate-sensitive diseases. Deaths from communicable diseases were most common. Heightened risk of death from all climate-sensitive communicable diseases, and malaria (both across all ages and in children younger than 5 years), was associated with 14-day lagged daily maximum temperatures at or above 41·1°C, the 90th percentile of daily maximum temperatures, compared with 36·4°C, the median (all communicable diseases: 41·9°C relative risk [RR] 1·38 [95% CI 1·08–1·77], 42·8°C 1·57 [1·13–2·18]; malaria all ages: 41·1°C 1·47 [1·05–2·05], 41·9°C 1·78 [1·21–2·61], 42·8°C 2·35 [1·37–4·03]; malaria younger than 5 years: 41·9°C 1·67 [1·02–2·73]). Heightened risk of death from communicable diseases was also associated with 14-day lagged total daily precipitation at or below 0·1 cm, the 49th percentile of total daily precipitation, compared with 1·4 cm, the median (all communicable diseases: 0·0 cm 1·04 [1·02–1·07], 0·1 cm 1·01 [1·006–1·02]; malaria all ages: 0·0 cm 1·04 [1·01–1·08], 0·1 cm 1·02 [1·00–1·03]; malaria younger than 5 years: 0·0 cm 1·05 [1·01–1·10], 0·1 cm 1·02 [1·00–1·04]). The only significant association with a non-communicable disease outcome was a heightened risk of death from climate-sensitive cardiovascular diseases in individuals aged 65 years and older associated with 7-day lagged daily maximum temperatures at or above 41·9°C (41·9°C 2·25 [1·06–4·81], 42·8°C 3·68 [1·46–9·25]). Over 8 cumulative weeks, we found that the risk of death from communicable diseases was heightened at all ages from temperatures at or above 41·1°C (41·1°C 1·23 [1·05–1·43], 41·9°C 1·30 [1·08–1·56], 42·8°C 1·35 [1·09–1·66]) and risk of death from malaria was heightened by precipitation at or above 45·3 cm (all ages: 45·3 cm 1·68 [1·31–2·14], 61·6 cm 1·72 [1·27–2·31], 87·7 cm 1·72 [1·16–2·55]; children younger than 5 years: 45·3 cm 1·81 [1·36–2·41], 61·6 cm 1·82 [1·29–2·56], 87·7 cm 1·93 [1·24–3·00]).Interpretation: Our results indicate a high burden of death related to extreme weather in the Sahel region of west Africa. This burden is likely to increase with climate change. Climate preparedness programmes—such as extreme weather alerts, passive cooling architecture, and rainwater drainage—should be tested and implemented to prevent deaths from climate-sensitive diseases in vulnerable communities in Burkina Faso and the wider Sahel region.
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| 2. |
- Armando, Chaibo Jose, et al.
(författare)
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Climate variability, socio-economic conditions and vulnerability to malaria infections in Mozambique 2016–2018 : a spatial temporal analysis
- 2023
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Ingår i: Frontiers In Public Health. - : Frontiers Media S.A.. - 2296-2565. ; 11
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Tidskriftsartikel (refereegranskat)abstract
- Background: Temperature, precipitation, relative humidity (RH), and Normalized Different Vegetation Index (NDVI), influence malaria transmission dynamics. However, an understanding of interactions between socioeconomic indicators, environmental factors and malaria incidence can help design interventions to alleviate the high burden of malaria infections on vulnerable populations. Our study thus aimed to investigate the socioeconomic and climatological factors influencing spatial and temporal variability of malaria infections in Mozambique.Methods: We used monthly malaria cases from 2016 to 2018 at the district level. We developed an hierarchical spatial–temporal model in a Bayesian framework. Monthly malaria cases were assumed to follow a negative binomial distribution. We used integrated nested Laplace approximation (INLA) in R for Bayesian inference and distributed lag nonlinear modeling (DLNM) framework to explore exposure-response relationships between climate variables and risk of malaria infection in Mozambique, while adjusting for socioeconomic factors.Results: A total of 19,948,295 malaria cases were reported between 2016 and 2018 in Mozambique. Malaria risk increased with higher monthly mean temperatures between 20 and 29°C, at mean temperature of 25°C, the risk of malaria was 3.45 times higher (RR 3.45 [95%CI: 2.37–5.03]). Malaria risk was greatest for NDVI above 0.22. The risk of malaria was 1.34 times higher (1.34 [1.01–1.79]) at monthly RH of 55%. Malaria risk reduced by 26.1%, for total monthly precipitation of 480 mm (0.739 [95%CI: 0.61–0.90]) at lag 2 months, while for lower total monthly precipitation of 10 mm, the risk of malaria was 1.87 times higher (1.87 [1.30–2.69]). After adjusting for climate variables, having lower level of education significantly increased malaria risk (1.034 [1.014–1.054]) and having electricity (0.979 [0.967–0.992]) and sharing toilet facilities (0.957 [0.924–0.991]) significantly reduced malaria risk.Conclusion: Our current study identified lag patterns and association between climate variables and malaria incidence in Mozambique. Extremes in climate variables were associated with an increased risk of malaria transmission, peaks in transmission were varied. Our findings provide insights for designing early warning, prevention, and control strategies to minimize seasonal malaria surges and associated infections in Mozambique a region where Malaria causes substantial burden from illness and deaths.
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| 3. |
- Corvetto, Julia Feriato, et al.
(författare)
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Impact of heat on mental health emergency visits : a time series study from all public emergency centres, in Curitiba, Brazil
- 2023
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Ingår i: BMJ Open. - : BMJ Publishing Group Ltd. - 2044-6055. ; 13:12
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Tidskriftsartikel (refereegranskat)abstract
- Objectives: Quantify the risk of mental health (MH)-related emergency department visits (EDVs) due to heat, in the city of Curitiba, Brazil.Design: Daily time series analysis, using quasi-Poisson combined with distributed lag non-linear model on EDV for MH disorders, from 2017 to 2021.Setting: All nine emergency centres from the public health system, in Curitiba.Participants: 101 452 EDVs for MH disorders and suicide attempts over 5 years, from patients residing inside the territory of Curitiba.Main outcome measure: Relative risk of EDV (RR EDV) due to extreme mean temperature (24.5°C, 99th percentile) relative to the median (18.02°C), controlling for long-term trends, air pollution and humidity, and measuring effects delayed up to 10 days.Results: Extreme heat was associated with higher single-lag EDV risk of RR EDV 1.03(95% CI 1.01 to 1.05 - single-lag 2), and cumulatively of RR EDV 1.15 (95% CI 1.05 to 1.26 - lag-cumulative 0-6). Strong risk was observed for patients with suicide attempts (RR EDV 1.85, 95% CI 1.08 to 3.16) and neurotic disorders (RR EDV 1.18, 95% CI 1.06 to 1.31). As to demographic subgroups, females (RR EDV 1.20, 95% CI 1.08 to 1.34) and patients aged 18-64 (RR EDV 1.18, 95% CI 1.07 to 1.30) were significantly endangered. Extreme heat resulted in lower risks of EDV for patients with organic disorders (RR EDV 0.60, 95% CI 0.40 to 0.89), personality disorders (RR EDV 0.48, 95% CI 0.26 to 0.91) and MH in general in the elderly ≥65 (RR EDV 0.77, 95% CI 0.60 to 0.98). We found no significant RR EDV among males and patients aged 0-17.Conclusion: The risk of MH-related EDV due to heat is elevated for the entire study population, but very differentiated by subgroups. This opens avenue for adaptation policies in healthcare: such as monitoring populations at risk and establishing an early warning systems to prevent exacerbation of MH episodes and to reduce suicide attempts. Further studies are welcome, why the reported risk differences occur and what, if any, role healthcare seeking barriers might play.
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| 4. |
- Rocklöv, Joacim, Professor, 1979-, et al.
(författare)
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Decision-support tools to build climate resilience against emerging infectious diseases in Europe and beyond
- 2023
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Ingår i: The Lancet Regional Health. - : Elsevier. - 2666-7762. ; 32
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Forskningsöversikt (refereegranskat)abstract
- Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health—Climate Risk framework.
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