Jàmbá: 2016 Volume 8 No 1
- A review of studies on community based early warning systemsMacherera, Margaret
- The Port Alfred floods of 17-23 October 2012: A case of disaster (mis)management? / Pyle, Desmond M
- Modelling a critical infrastructure-driven spatial database for proacite disaster management: A developing country context / Baloye, David O
- Modelling non-stationary annual maximum flood heights in the lower Limpopo River basin of Mozambique / Maposa, Daniel
- Persception-based analysis of climate change effect on forest-based livelihood: The case of Vhembe District in South Africa / Ofoegbu, Chidiebere; Chiriwa, Paxie W; Francis, Joseph; Babalola, Folarannmi D
- Indigenous knowledge for disaster risk reduction: An African perspective /Iloka, Nnamdi G
- Expanding the disaster risk management framework: Measuring the constructed level of identity as a factor of political risk / Prinsloo, Barend; Van der Waldt, Gerrit
- Insurance mechanisms for tropical cyclones and droughts in Pacific smal Island Developing States / Baarsch, Florent; Kelman, Ilan
Community-based early warning systems involve community driven collection and analysis of information that enable warning messages to help a community to react to a hazard and reduce the resulting loss or harm. Most early warning systems are designed at the national or global level. Local communities’ capacity to predict weather conditions using indigenous knowledge has been demonstrated in studies focusing on climate change and agriculture in some African countries. This review was motivated by successes made in non-disease specific community-based early warning systems with a view to identify opportunities for developing similar systems for malaria. This article reviewed the existing community-based early warning systems documented in literature. The types of disasters that are addressed by these systems and the methodologies utilised in the development of the systems were identified. The review showed that most of the documented community-based early warning systems focus on natural disasters such as floods, drought, and landslides. Community-based early warning systems for human diseases are very few, even though such systems exist at national and regional and global levels. There is a clear gap in terms of community-based malaria early warning systems. The methodologies for the development of the community-based early warning systems reviewed mainly derive from the four elements of early warning systems; namely risk knowledge, monitoring, warning communication and response capability. The review indicated the need for the development of community based early warning systems for human diseases.
(AOSIS Publishing, 2016)One group of locations significantly affected by climate-related losses and damage is the Small Island Developing States (SIDS). One mechanism aiming to reduce such adverse impacts is insurance, with a wide variety of ...
Expanding the disaster risk management framework: Measuring the constructed level of national identity as a factor of political risk (AOSIS Publishing, 2016)Political risk is identified as a dominant risk category of disaster risk management (DRM) which could negatively affect the success of those measures implemented to reduce disaster risk. Key to political risk is the ...
(AOSIS Publishing, 2016)Indigenous knowledge is valuable knowledge that has helped local communities all over the world survive for generations. This knowledge originates from the interaction between members of the community and the environment ...
Perception-based analysis of climate change effect on forest-based livelihood: The case of Vhembe District in South Africa (AOSIS Publishing, 2016)Forests are vulnerable to climate change and are also major sources of livelihood for many rural households in Africa. This study examines rural people’s perceptions of climate change impacts on forest-based livelihoods ...
Modelling non-stationary annual maximum flood heights in the lower Limpopo River basin of Mozambique (AOSIS Publishing, 2016)In this article we fit a time-dependent generalised extreme value (GEV) distribution to annual maximum flood heights at three sites: Chokwe, Sicacate and Combomune in the lower Limpopo River basin of Mozambique. A GEV ...
Modelling a critical infrastructure-driven spatial database for proactive disaster management: A developing country context (AOSIS Publishing, 2016)The understanding and institutionalisation of the seamless link between urban critical infrastructure and disaster management has greatly helped the developed world to establish effective disaster management processes. ...
(AOSIS Publishing, 2016)An intense cut-off low weather system, more commonly known regionally as a ‘black southeaster’, caused severe flooding in Port Alfred and the surrounding coastal areas from 17 to 23 October 2012. Unconfirmed reports of ...
(AOSIS Publishing, 2016)Community-based early warning systems involve community driven collection and analysis of information that enable warning messages to help a community to react to a hazard and reduce the resulting loss or harm. Most early ...