Why predict climate hazards if we need to understand impacts? Putting humans back into the drought equation.

Virtually all climate monitoring and forecasting efforts concentrate on hazards rather than on impacts, while the latter are a priority for planning emergency activities and for the evaluation of mitigation strategies. Effective disaster risk management strategies need to consider the prevailing "human terrain" to predict who is at risk and how communities will be affected. There has been little effort to align the spatiotemporal granularity of socioeconomic assessments with the granularity of weather or climate monitoring. The lack of a high-resolution socioeconomic baseline leaves methodical approaches like machine learning virtually untapped for pattern recognition of extreme climate impacts on livelihood conditions. While the request for "better" socioeconomic data is not new, we highlight the need to collect and analyze environmental and socioeconomic data together and discuss novel strategies for coordinated data collection via mobile technologies from a drought risk management perspective. A better temporal, spatial, and contextual understanding of socioeconomic impacts of extreme climate conditions will help to establish complex causal pathways and quantitative proof about climate-attributable livelihood impacts. Such considerations are particularly important in the context of the latest big data-driven initiatives, such as the World Bank's Famine Action Mechanism (FAM).

Does the presence of conflict affect maternal and neonatal mortality during Caesarean sections?

INTRODUCTION: Conflicts frequently occur in countries with high maternal and neonatal mortality and can aggravate difficulties accessing emergency care. No literature is available on whether the presence of conflict influences the outcomes of mothers and neonates during Caesarean sections (C-sections) in high-mortality settings. OBJECTIVE: To determine whether the presence of conflict was associated with changes in maternal and neonatal mortality during C-sections. METHODS: We analysed routinely collected data on C-sections from 17 Médecins Sans Frontières (MSF) health facilities in 12 countries. Exposure variables included presence and intensity of conflict, type of health facility and other types of access to emergency care. RESULTS: During 2008-2015, 30,921 C-sections were performed in MSF facilities; of which 55.4% were in areas of conflict. No differences were observed in maternal mortality in conflict settings (0.1%) vs. non-conflict settings (0.1%) (P = 0.08), nor in neonatal mortality between conflict (12.2%) and non-conflict settings (11.5%) (P = 0.1). Among the C-sections carried out in conflict settings, neonatal mortality was slightly higher in war zones compared to areas of minor conflict (P = 0.02); there was no difference in maternal mortality (P = 0.38). CONCLUSIONS: Maternal and neonatal mortality did not appear to be affected by the presence of conflict in a large number of MSF facilities. This finding should encourage humanitarian organisations to support C-sections in conflict settings to ensure access to quality maternity care.

Rapid assessment of health needs in mass emergencies: review of current concepts and methods.

The increase in the number of natural disasters and their impact on population is of growing concern to countries at risk and agencies involved in health and humanitarian action. The numbers of persons killed or disabled as a result of earthquakes, cyclones, floods and famines have reached record levels in the last decade. Population density, rampant urbanization and climatic changes have brought about risk patterns that are exposing larger and larger sections of populations in developing countries to life-threatening natural disasters. Despite substantial spending on emergency relief, the approaches to relief remain largely ad hoc and amateurish, resulting generally in inappropriate and/or delayed action. In recent years, mass emergencies of the kind experienced in Bangladesh or the Sahelian countries have highlighted the importance of rapid assessment of health needs for better allocation of resources and relief management. As a result, the development of techniques for rapid assessment of health needs has been identified as a priority for effective emergency action. This article sketches the health context of disasters in terms of mortality and morbidity patterns; it describes initial assessment techniques currently used and their methodological biases and constraints; it also discusses assessment needs which vary between different types of disasters and the time frame within which assessments are undertaken. Earthquakes, cyclones, famines, epidemics or refugees all have specific risk profiles and emergency conditions which differ for each situation. Vulnerability to mortality changes according to age and occupation, for earthquakes and famines. These risk factors then have significant implications for the design of rapid assessment protocols and checklists. Experiences from the field in rapid survey techniques and estimation of death rates are discussed, with emphasis on the need for a reliable denominator even for the roughest assessment. Finally, the importance of adapting normal epidemiological and statistical methodologies to crisis situations is underlined in order to rationalize the recurrent and substantial expenditures made in response to natural disasters today.

Information systems and needs assessment in natural disasters: An approach for better disaster relief management.

The paper addresses the issue of information in disasters relief. It begins by establishing the need for planning and systematic organization in disaster action, in order to produce a long term effect on the vulnerability levels of communities. Information is introduced as a key element in any phase of disaster management. The different informational needs are described by phases; information types and possible sources are briefly described. The organizational network of information collection is presented and the immediate need for research in this field is emphasized.