| Literature DB >> 23787891 |
Carla Stanke1, Marko Kerac, Christel Prudhomme, Jolyon Medlock, Virginia Murray.
Abstract
Introduction. Climate change projections indicate that droughts will become more intense in the 21 century in some areas of the world. The El Niño Southern Oscillation is associated with drought in some countries, and forecasts can provide advance warning of the increased risk of adverse climate conditions. The most recent available data from EMDAT estimates that over 50 million people globally were affected by drought in 2011. Documentation of the health effects of drought is difficult, given the complexity in assigning a beginning/end and because effects tend to accumulate over time. Most health impacts are indirect because of its link to other mediating circumstances like loss of livelihoods. Methods. The following databases were searched: MEDLINE; CINAHL; Embase; PsychINFO, Cochrane Collection. Key references from extracted papers were hand-searched, and advice from experts was sought for further sources of literature. Inclusion criteria for papers summarised in tables include: explicit link made between drought as exposure and human health outcomes; all study designs/methods; all countries/contexts; any year of publication. Exclusion criteria include: drought meaning shortage unrelated to climate; papers not published in English; studies on dry/arid climates unless drought was noted as an abnormal climatological event. No formal quality evaluation was used on papers meeting inclusion criteria. Results. 87 papers meeting the inclusion criteria are summarised in tables. Additionally, 59 papers not strictly meeting the inclusion criteria are used as supporting text in relevant parts of the results section. Main categories of findings include: nutrition-related effects (including general malnutrition and mortality, micronutrient malnutrition, and anti-nutrient consumption); water-related disease (including E coli, cholera and algal bloom); airborne and dust-related disease (including silo gas exposure and coccidioidomycosis); vector borne disease (including malaria, dengue and West Nile Virus); mental health effects (including distress and other emotional consequences); and other health effects (including wildfire, effects of migration, and damage to infrastructure). Conclusions. The probability of drought-related health impacts varies widely and largely depends upon drought severity, baseline population vulnerability, existing health and sanitation infrastructure, and available resources with which to mitigate impacts as they occur. The socio-economic environment in which drought occurs influences the resilience of the affected population. Forecasting can be used to provide advance warning of the increased risk of adverse climate conditions and can support the disaster risk reduction process. Despite the complexities involved in documentation, research should continue and results should be shared widely in an effort to strengthen drought preparedness and response activities.Entities:
Year: 2013 PMID: 23787891 PMCID: PMC3682759 DOI: 10.1371/currents.dis.7a2cee9e980f91ad7697b570bcc4b004
Source DB: PubMed Journal: PLoS Curr ISSN: 2157-3999
How confidence is defined
Increasing levels of evidence combined with increasing degrees of agreement about the evidence are correlated with increasing levels of confidence.
Low confidence: Low-medium available evidence, low agreement about the evidence
Medium confidence: Medium-robust available evidence, medium agreement about the evidence
High confidence: Medium-robust available evidence, high agreement about the evidence
| Region | Observed changes in global-scale trends in droughts since 1950 | Projected changes in drought for the end of the 21st century |
|---|---|---|
|
| Medium confidence that there has been an overall slight tendency toward less dryness, although analyses for some sub regions also indicate tendencies toward increasing dryness. Recent regional trends toward more severe drought conditions were identified over southern and western Canada, Alaska and Mexico, with subregional exceptions. | Low to medium confidence depending on the region. Medium confidence regarding increase in consecutive dry days and soil moisture anomaly in Texas and New Mexico; low confidence in other regions because of inconsistent change. |
|
| Medium confidence regarding increases in drynessbased on some indices in the southern part of the continent, but largeinconsistencies between indices in this region, and inconsistent or statistically insignificant trends in the rest of the continent. | Medium confidence: European area affected by stronger dryness (reduced soil moisture anomaly and consecutive dry days) with largest and most consistent changes in Mediterranean Europe. |
|
| Low confidence because of spatially varying trends and inconsistencies between studies. For the Amazon, repeated intense droughts have been occurring in the last decades but no particular trend has been reported. | Low to medium confidence, depending on the region: inconsistent signal except for dryness increase (consecutive dry days and soil moisture anomaly) in north-eastern Brazil. |
|
| Low to medium confidence, depending on region. Low confidence in most regions due to spatially varying trends. Some areas have consistent increases but others display decreases in dryness indicated by different measures (soil moisture anomaly, Palmer Drought Severity Index, consecutive dry days). In East Asia, there is medium confidence in an overall tendency for increased dryness. | Low confidence because of inconsistent change in consecutive dry days and soil moisture anomaly between models in large part of domain. |
|
| Medium confidence in an overall increase in dryness, based on soil moisture anomaly and Palmer Drought Severity Index. For the Sahel, recent years have been characterized by greater interannual variability than the previous 40 years. | Low to medium confidence, depending on region. Low confidence in most regions, medium confidence of increase in dryness (consecutive dry days and soil moisture anomaly) in southern Africa except eastern part. |
|
| Medium confidence: some regions with dryness decreases, others with dryness increases. | Low to medium confidence depending on region. Models agree on increase in consecutive dry days in South Australia, but inconsistent signal over most of South Australia in soil moisture anomaly. Inconsistent signal in consecutive dry days and soil moisture anomaly in North Australia. Strongest consecutive dry day increases in western half of Australia. Inconsistent change in area of drought depending on index used. |
|
|
|
|
|
|
| Drought* OR arid* OR rain* |
| Combined by AND with: |
|
|
| Morbidity OR mortality OR health OR disease OR mental health OR injur* OR infect* OR diar* OR malnutrition OR water borne OR vector OR trachoma OR nutrition OR cyanide OR malaria OR schistosomiasis OR famine OR resp* OR typhoid fever OR amoebiasis OR cholera OR hepatitis A OR salmonellosis OR shigellosis OR dengue OR onchocerciasis OR Japanese encephalitis OR scabies OR impetigo OR conjunctivitis OR scrub typhus OR leptospirosis OR PTSD OR depress* |
| Scrimshaw, 1987 | Zender and Talamantes, 2006 | Sartore et al., 2007 |