Indoor Particulate Matter < 2.5 µm in Mean Aerodynamic Diameter and Carbon Monoxide Levels During the Burning of Mosquito Coils and Their Association With Respiratory Health.

BACKGROUND: An estimated 700 million people suffer from mosquito-borne diseases worldwide. Various types of mosquito repellents are widely used to prevent mosquito bites. The objectives of this study were (1) to measure the indoor levels of particulate matter < 2.5 µm in mean aerodynamic diameter (PM2.5) and carbon monoxide (CO) during the burning of mosquito coils (MCs) and study the impact of indoor ventilation patterns; and (2) to study and compare the prevalence of respiratory ailments in homes using different types of mosquito repellents. METHODS: Indoor PM2.5 and CO levels were measured inside a bedroom during the burning of MCs keeping the window and/or door open/closed over a 6-h duration. A cross-sectional survey was conducted in three villages where 465 individuals were administered a questionnaire that captured demographic details, type and duration of mosquito repellents used, and prevalence of respiratory symptoms and diseases. RESULTS: Fifty-three percent of the subjects burned MCs on most days of the week, and 63% did so with their doors and windows closed. Burning of MCs produced very high levels of PM2.5 (1,031 µg/m(3) mean, 1,613 µg/m(3) peak) and CO (6.50 parts per million (ppm) mean, 10.27 ppm peak) when both the door and window were closed. These levels reduced by around 50% when the window was opened and > 95% when both the window and the door were opened. The prevalence rates of respiratory symptoms and diseases were higher in subjects using MCs, although not statistically significant. Those living in smaller homes and using MCs had significantly greater morbidity. CONCLUSIONS: Burning of MCs produces indoor levels of PM2.5 and CO that are higher than those reported during the burning of biomass fuels for cooking purposes and may be associated with respiratory morbidity.

Field testing of alternative cookstove performance in a rural setting of western India.

Nearly three billion people use solid fuels for cooking and heating, which leads to extremely high levels of household air pollution and is a major cause of morbidity and mortality. Many stove manufacturers have developed alternative cookstoves (ACSs) that are aimed at reducing emissions and fuel consumption. Here, we tested a traditional clay chulha cookstove (TCS) and five commercially available ACSs, including both natural draft (Greenway Smart Stove, Envirofit PCS-1) and forced draft stoves (BioLite HomeStove, Philips Woodstove HD4012, and Eco-Chulha XXL), in a test kitchen in a rural village of western India. Compared to the TCS, the ACSs produced significant reductions in particulate matter less than 2.5 µm (PM2.5) and CO concentrations (Envirofit: 22%/16%, Greenway: 24%/42%, BioLite: 40%/35%, Philips: 66%/55% and Eco-Chulha: 61%/42%), which persisted after normalization for fuel consumption or useful energy. PM2.5 and CO concentrations were lower for forced draft stoves than natural draft stoves. Furthermore, the Philips and Eco-Chulha units exhibited higher cooking efficiency than the TCS. Despite significant reductions in concentrations, all ACSs failed to achieve PM2.5 levels that are considered safe by the World Health Organization (ACSs: 277-714 µg/m³ or 11-28 fold higher than the WHO recommendation of 25 µg/m³).

HIV/AIDS-related mortality in Africa and Asia: evidence from INDEPTH health and demographic surveillance system sites.

BACKGROUND: As the HIV/AIDS pandemic has evolved over recent decades, Africa has been the most affected region, even though a large proportion of HIV/AIDS deaths have not been documented at the individual level. Systematic application of verbal autopsy (VA) methods in defined populations provides an opportunity to assess the mortality burden of the pandemic from individual data. OBJECTIVE: To present standardised comparisons of HIV/AIDS-related mortality at sites across Africa and Asia, including closely related causes of death such as pulmonary tuberculosis (PTB) and pneumonia. DESIGN: Deaths related to HIV/AIDS were extracted from individual demographic and VA data from 22 INDEPTH sites across Africa and Asia. VA data were standardised to WHO 2012 standard causes of death assigned using the InterVA-4 model. Between-site comparisons of mortality rates were standardised using the INDEPTH 2013 standard population. RESULTS: The dataset covered a total of 10,773 deaths attributed to HIV/AIDS, observed over 12,204,043 person-years. HIV/AIDS-related mortality fractions and mortality rates varied widely across Africa and Asia, with highest burdens in eastern and southern Africa, and lowest burdens in Asia. There was evidence of rapidly declining rates at the sites with the heaviest burdens. HIV/AIDS mortality was also strongly related to PTB mortality. On a country basis, there were strong similarities between HIV/AIDS mortality rates at INDEPTH sites and those derived from modelled estimates. CONCLUSIONS: Measuring HIV/AIDS-related mortality continues to be a challenging issue, all the more so as anti-retroviral treatment programmes alleviate mortality risks. The congruence between these results and other estimates adds plausibility to both approaches. These data, covering some of the highest mortality observed during the pandemic, will be an important baseline for understanding the future decline of HIV/AIDS.

The short-term association of temperature and rainfall with mortality in Vadu Health and Demographic Surveillance System: a population level time series analysis.

BACKGROUND: Research in mainly developed countries has shown that some changes in weather are associated with increased mortality. However, due to the lack of accessible data, few studies have examined such effects of weather on mortality, particularly in rural regions in developing countries. OBJECTIVE: In this study, we aimed to investigate the relationship between temperature and rainfall with daily mortality in rural India. DESIGN: Daily mortality data were obtained from the Health and Demographic Surveillance System (HDSS) in Vadu, India. Daily mean temperature and rainfall data were obtained from a regional meteorological center, India Meteorological Department (IMD), Pune. A Poisson regression model was established over the study period (January 2003-May 2010) to assess the short-term relationship between weather variables and total mortality, adjusting for time trends and stratifying by both age and sex. RESULT: Mortality was found to be significantly associated with daily ambient temperatures and rainfall, after controlling for seasonality and long-term time trends. Children aged 5 years or below appear particularly susceptible to the effects of warm and cold temperatures and heavy rainfall. The population aged 20-59 years appeared to face increased mortality on hot days. Most age groups were found to have increased mortality rates 7-13 days after rainfall events. This association was particularly evident in women. CONCLUSION: We found the level of mortality in Vadu HDSS in rural India to be highly affected by both high and low temperatures and rainfall events, with time lags of up to 2 weeks. These results suggest that weather-related mortality may be a public health problem in rural India today. Furthermore, as changes in local climate occur, adaptation measures should be considered to mitigate the potentially negative impacts on public health in these rural communities.