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Background: Most households in low- and middle-income countries (LMICs) rely on biomass fuel for daily cooking. Studies investigating the association between early life exposure to household air pollution and health outcomes in children in LMICs are limited., Objective: To investigate the effects of biomass fuel for cooking and different types of stoves on wheeze and allergies in children of rural Sri Lankan communities., Methods: A cross-sectional study was conducted on 452 children aged 5 years and younger in Kandy, Sri Lanka. Mothers completed a questionnaire on the use of biomass fuel and respiratory and allergic outcomes in children. The associations between biomass fuel and outcomes were analyzed using logistic regression models, adjusting for potential confounders., Results: Use of biomass fuel for cooking was associated with increased risk of childhood wheeze (aOR 2.29; 95% CI 1.04-5.08) and eczema (aOR 4.57; 95% CI 1.24-16.89) compared with households that used clean fuel (liquid petroleum gas (LPG), electricity and/or biogas). Among households that used biomass fuel, use of traditional biomass stoves was associated with a higher risk of childhood wheeze (aOR 2.95; 95% CI 1.19-7.33), allergic rhinitis (aOR 3.01; 95% CI 1.42-6.39), and eczema (aOR 7.39; 95% CI 1.70-32.06) compared with households that used clean stoves., Conclusion: Children living in households that use biomass fuel, especially traditional biomass cookstoves, have a higher risk of wheeze and allergic diseases. Access to affordable clean energy sources that reduce air pollution may help improve the health of children in rural LMICs., Supplemental data for this article is available online at at www.tandfonline.com/ijas .

The aim of this study was to investigate the impact of biomass fuel for cooking on adverse fetal growth outcomes in Sri Lanka. A cross-sectional study of mothers recruited at maternity clinics in rural communities in Sri Lanka's Central Province was undertaken. Data pertaining to household air pollution and fetal growth parameters were collected using an interviewer-administered questionnaire. Logistic regression models, adjusted for potential confounders, were used to evaluate the impact of biomass fuel for cooking on low birth weight (LBW) and small for gestational age (SGA) parameters. Findings showed that exposure to biomass cooking fuels during pregnancy was associated with an increased risk of LBW adjusted odds ratio (aOR) 2.74 (95% CI 1.08-6.96) and SGA (aOR: 1.87, 95% CI 1.03-3.41) compared with the use of clean energy. The risk of LBW was highest for traditional biomass stoves compared to improved biomass stoves (aOR: 3.23, 95% 1.17-8.89) and biomass use in kitchens without a chimney compared to kitchens with a chimney (aOR: 4.63, 95% 1.54-13.93). Similar trends were observed for SGA.

Background: The basic reproduction number (R0) is the number of cases directly caused by an infected individual throughout his infectious period. R0 is used to determine the ability of a disease to spread within a given population. The reproduction number (R) represents the transmissibility of a disease., Objectives: We aimed to calculate the R0 of Coronavirus disease-2019 (COVID-19) in Sri Lanka and to describe the variation of R, with its implications to the prevention and control of the disease., Methods: Data was obtained from daily situation reports of the Epidemiology Unit, Sri Lanka and a compartmental model was used to calculate the R0 using estimated model parameters. This value was corroborated by using two more methods, the exponential growth rate method and maximum likelihood method to obtain a better estimate for R0. The variation of R was illustrated using a Bayesian statistical inference-based method., Results: The R0 calculated by the first model was 1.02 [confidence interval (CI) of 0.75-1.29] with a root mean squared error of 7.72. The exponential growth rate method and the maximum likelihood estimation method yielded an R0 of 0.93 (CI of 0.77-1.10) and a R0 of 1.23 (CI of 0.94-1.57) respectively. The variation of R ranged from 0.69 to 2.20., Conclusion: The estimated R0 for COVID-19 in Sri Lanka, calculated by three different methods, falls between 0.93 and 1.23, and the transmissibility R has reduced, indicating that measures implemented have achieved a good control of disease.

Background: The global impact of maternal ill health on economic productivity is estimated to be over 15 billion USD per year. Global data on productivity cost associated with maternal ill health are limited to estimations based on secondary data. Purpose of our study was to determine the productivity cost due to maternal ill health during pregnancy in Sri Lanka., Methods and Findings: We studied 466 pregnant women, aged 24 to 36 weeks, residing in Anuradhapura, Sri Lanka. A two stage cluster sampling procedure was used in a cross sectional design and all pregnant women were interviewed at clinic centers, using the culturally adapted Immpact tool kit for productivity cost assessment. Of the 466 pregnant women studied, 421 (90.3%) reported at least one ill health condition during the pregnancy period, and 353 (83.8%) of them had conditions affecting their daily life. Total incapacitation requiring another person to carry out all their routine activities was reported by 122 (26.1%) of the women. In this study sample, during the last episode of ill health, total number of days lost due to absenteeism was 3,356 (32.9% of total loss) and the days lost due to presenteeism was 6,832.8 (67.1% of the total loss). Of the 353 women with ill health conditions affecting their daily life, 280 (60%) had coping strategies to recover loss of productivity. Of the coping strategies used to recover productivity loss during maternal ill health, 76.8% (n = 215) was an intra-household adaptation, and 22.8% (n = 64) was through social networks. Loss of productivity was 28.9 days per episode of maternal ill health. The mean productivity cost due to last episode of ill health in this sample was Rs.8,444.26 (95% CI-Rs.6888.74-Rs.9999.78)., Conclusions: Maternal ill health has a major impact on household productivity and economy. The major impact is due to, generally ignored minor ailments during pregnancy.

We used data from multiple sources to estimate the incidence of fatal and non-fatal road traffic injuries in Sri Lanka in 2005. We validated the accuracy of the data from the national traffic police by comparing with estimates based on national death registration. For estimating the incidence and patterns of non-fatal injuries, we used a nationally represented health survey (World Health Survey), and data on hospital admissions from a rural setting (Galle district). We estimate that in the year 2005, approximately 2300 people died in Sri Lanka due to road traffic crashes, approximately 300,000 were injured in non-fatal crashes and approximately 140,000 received care for their injuries at hospitals. While the road traffic death rate in Sri Lanka is low compared with other low-income countries, it has been steadily rising for several years. Although young adults are at high risk in non-fatal crashes, the elderly have the highest death rate. Pedestrians and bicyclists account for more than half of all road traffic deaths and riders of motorised two-wheelers accounted for an additional 13%. The government of Sri Lanka should act immediately to stop the needless loss of life by implementing the recommendations of the 2004 World Report on Road Traffic Injury Prevention.