A “catastrophic” combination of drought and communities’ declining resilience has left an estimated 2.3 million people facing severe acute food insecurity – up from an estimate of 1.7 million people a month ago.
Communities across southern Africa have been affected by drought since late 2...018.
This year, large parts of southern and western Zambia received their lowest seasonal rainfall totals since at least 1981, the base year from which normal rainfall is benchmarked. At the same time, northern and eastern parts of the country were affected by flash floods and waterlogging, resulting in poor harvests.
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Global Information and Early Warning System on Food and Agriculture (GIEWS)
The death toll from Cyclone Idai’s landfall has reportedly risen to at least 84 and the President has said that it could rise above 1,000, according to media reports.
The disaster and Red Cross Red Crescent response to date
9 March 2019: Tropical Cyclone Idai forms over Northern Mozambique Channel. CVM preparedness and early warning actions underway
13 March 2019: IFRC Surge Capacity is deployed to Maputo
14 March 2019: 342,562 Swiss francs allocated from th...e IFRC’s Disaster Relief Emergency Fund (DREF) to meet the immediate shelter, WASH and health needs of 1,500 households
15 March 2019: Tropical Cyclone Idai makes landfall in Beira,
Mozambique.
17 March 2019: IFRC Surge Capacity arrival in Beira with CVM to conduct preliminary assessments.
19 March 2019: IFRC issues an Emergency Appeal for 10 million Swiss francs for 75,000 people for 12 months.
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The Government has declared a national emergency and three days of national mourning starting on 20 March. The official death toll from Cyclone Idai’s landfall has reportedly risen to at least 202 and is expected to increase in the days ahead.Flood waters are predicted to rise significantly in ...the coming days and 350,000 people are at risk. The town of Buzi – home to 200,000 people – is at risk of becoming at least partially submerged.
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Initial reports indicate significant damage to Beira and surrounding areas, including destroyed houses.
• Sofala, Manica, Zambezia and Inhambane provinces have been hardest hit by the cyclone’s path and the preceding tropical depression.
• An inter-agency assessment team, led by the Nati...onal Institute of Disaster Management’s (INGC) Director, is on ground in Beira
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The European Commission allocated an emergency aid package of €3.5 million on 19/03. The funding will be used to provide logistical support to reach affected people, emergency shelter, hygiene, sanitation, and health care. Out of the aid package, based on needs, €2 million will be provided in Mo...zambique, €1 million in Malawi and €0.5 million in Zimbabwe.
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Thailand is exposed to flooding, landslides, drought, earthquakes, tsunamis, heat waves, forest fires, and epidemics. Thailand is also exposed to technological hazards such as chemical accidents. Flooding is the natural hazard with the most significant impact on human life, livelihoods, and the econ...omy for the country. The occurrence of droughts has increased in recent years due to the effects of the El Niño-Southern Oscillation (ENSO) cycle, which brings drier-than-average rainfall conditions. Drought has adversely impacted the country’s agriculture sector, which employs around one third of the country’s workforce.
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This Case Study explores flood forecasting systems from the perspective of its position within the flood warning process. A method for classifying the different approaches taken in flood forecasting is introduced before the elements of a present-day flood forecasting system are discussed in detail. ...Finally, the state of the art in developing flood forecasting systems is addressed including how to deal with specific challenges posed.
The target group of this case study are decision makers in disaster risk management and/or water management. The case study should help to understand some hydrologic basics of the flood forecast and assist in the administration and implementation of an appropriate flood warning system in a specific environment, to find the best solution for a region.
Best solutions depend mainly on quality and availability of data, the areas and/or points of interest, catchment properties, cross border catchments, and financial capabilities with special consideration of flood forecast.
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25 August 2021. The earthquake on August 14, 2021 was almost as strong as the severe quake in 2010, which killed about 300,000 people. The current number of victims is more than 2,200 people, and more than 12,000 people have been injured. More than 52,000 houses were destroyed and more than 77,000 ...damaged. Thousands of families were affected! The magnitude 7.2 earthquake struck southwest Haiti at 8:30 a.m. local time at a depth of about 10 km. The epicentre was measured about 12 km northeast of Saint-Louis-du-Sud, about 125 km west of the capital Port-auPrince. The situation on the ground remains chaotic and the extent of the disaster cannot yet be predicted. In addition, heavy rainfall and the unstable security situation are complicating relief efforts. What is needed most now is food and drinking water, tents and primary health care. MEDBOX has already created the Natural Hazard Toolbox after the severe earthquake in 2010 and has collected many essential materials on health care, shelter & reconstruction after an earthquake in English, French and Kreyol there. In this issue brief, we provide a quick
overview of the most important information.
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PNAS | March 4, 2014 | vol. 111 | no. 9
Malaria is an important disease that has a global distribution and significant health burden. The spatial limits of its distribution and seasonal activity are sensitive to climate factors, as well as the local capacity to control the disease. Malaria is also ...one of the few health outcomes that has been modeled by more than one research group and can therefore facilitate the first model intercomparison for health impacts under a future with climate change. We used bias-corrected temperature and rainfall simulations from the Coupled Model Intercomparison Project Phase 5 climate models to compare the metrics of five statistical and dynamical malaria impact models for three future time periods (2030s, 2050s, and 2080s). We evaluated three malaria outcome metrics at global and regional levels: climate suitability, additional population at risk and additional person-months at risk across the model outputs. The malaria projections were based on five different global climate models, each run under four emission scenarios (Representative Concentration Pathways, RCPs) and a single population projection. We also investigated the modeling uncertainty associated with future projections of populations at risk for malaria owing to climate change. Our findings show an overall global net increase in climate suitability and a net increase in the population at risk, but with large uncertainties. The model outputs indicate a net increase in the annual person-months at risk when comparing from RCP2.6 to RCP8.5 from the 2050s to the 2080s. The malaria outcome metrics were highly sensitive to the choice of malaria impact model, especially over the epidemic fringes of the malaria distribution.
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