Severe malaria is common in tropical countries in Africa, Asia, Oceania and South and Central America. It may also occur in travelers returning from endemic areas. Plasmodium falciparum accounts for most cases, although P vivax is increasingly found to cause severe malaria in Asia. Cerebral malaria is common in children in Africa, manifests as coma and seizures, and has a high morbidity and mortality. In other regions, adults may also develop cerebral malaria but neurological sequelae in survivors are rare. Acute kidney injury, liver dysfunction, thrombocytopenia, disseminated intravascular coagulopathy (DIC) and acute respiratory distress syndrome (ARDS) are also common in severe malaria. Metabolic abnormalities include hypoglycemia, hyponatremia and lactic acidosis. Bacterial infection may coexist in patients presenting with shock or ARDS and this along with a high parasite load has a high mortality. Intravenous artesunate has replaced quinine as the antimalarial agent of choice. Critical care management as per severe sepsis is also applicable to severe malaria. Aggressive fluid boluses may not be appropriate in children. Blood transfusions may be required and treatment of seizures and raised intracranial pressure is important in cerebral malaria in children. Mortality in severe disease ranges from 8 to 30% despite treatment.
In this paper, we present a new method to recognise the leaf type and identify plant species using phenetic parts of the leaf; lobes, apex and base detection. Most of the research in this area focuses on the popular features such as the shape, colour, vein, and texture, which consumes large amounts of computational processing and are not efficient, especially in the Acer database with a high complexity structure of the leaves. This paper is focused on phenetic parts of the leaf which increases accuracy. Detecting the local maxima and local minima are done based on Centroid Contour Distance for Every Boundary Point, using north and south region to recognise the apex and base. Digital morphology is used to measure the leaf shape and the leaf margin. Centroid Contour Gradient is presented to extract the curvature of leaf apex and base. We analyse 32 leaf images of tropical plants and evaluated with two different datasets, Flavia, and Acer. The best accuracy obtained is 94.76% and 82.6% respectively. Experimental results show the effectiveness of the proposed technique without considering the commonly used features with high computational cost.
Sepsis and septic shock in the tropics are caused by a wide array of organisms. These infections are encountered mainly in low and middle-income countries (LMIC) where a lack of infrastructure and medical facilities contribute to the high morbidity and mortality. Published sepsis guidelines are based on studies primarily performed in high income countries and as such recommendations may or may not be relevant to practice in the tropics. Failure to adhere to guidelines, particularly among non-intensive care specialists even in high-income countries, is an area of concern for sepsis management. Additionally, inappropriate use of antimicrobials has led to significant antimicrobial resistance. Access to rapid, low-cost, and accurate diagnostic tests is critical in countries where tropical diseases are prevalent to facilitate early diagnosis and treatment. Implementation of performance improvement programs may improve outcomes for patients with sepsis and the addition of resuscitation and treatment bundles may further reduce mortality. Associated co-morbidities such as malnutrition and HIV influence outcomes and must be considered.
Large, intact areas of tropical peatland are highly threatened at a global scale by the expansion of commercial agriculture and other forms of economic development. Conserving peatlands on a landscape scale, with their hydrology intact, is of international conservation importance to preserve their distinctive biodiversity and ecosystem services and maintain their resilience to future environmental change. We explored threats to and opportunities for conserving remaining intact tropical peatlands; thus, we excluded peatlands of Indonesia and Malaysia, where extensive deforestation, drainage, and conversion to plantations means conservation in this region can protect only small fragments of the original ecosystem. We focused on a case study, the Pastaza-Marañón Foreland Basin (PMFB) in Peru, which is among the largest known intact tropical peatland landscapes in the world and is representative of peatland vulnerability. Maintenance of the hydrological conditions critical for carbon storage and ecosystem function of peatlands is, in the PMFB, primarily threatened by expansion of commercial agriculture linked to new transport infrastructure that is facilitating access to remote areas. There remain opportunities in the PMFB and elsewhere to develop alternative, more sustainable land-use practices. Although some of the peatlands in the PMFB fall within existing legally protected areas, this protection does not include the most carbon-dense (domed pole forest) areas. New carbon-based conservation instruments (e.g., REDD+, Green Climate Fund), developing markets for sustainable peatland products, transferring land title to local communities, and expanding protected areas offer pathways to increased protection for intact tropical peatlands in Amazonia and elsewhere, such as those in New Guinea and Central Africa which remain, for the moment, broadly beyond the frontier of commercial development.
The Surviving Sepsis Campaign International Guidelines for the Management of Septic Shock and Sepsis-associated Organ Dysfunction in Children was released in 2020 and is intended for use in all global settings that care for children with sepsis. However, practitioners managing children with sep sis in resource-limited settings (RLS) face several challenges and disease patterns not experienced by those in resource-rich settings. Based upon our collective experience from RLS, we aimed to reflect on the difficulties of implementing the international guidelines. We believe there is an urgent need for more evidence from RLS on feasible, efficacious approaches to the management of sepsis and septic shock that could be included in future context-specific guidelines.
Forest biomass is an essential indicator for monitoring the Earth's ecosystems and climate. It is a critical input to greenhouse gas accounting, estimation of carbon losses and forest degradation, assessment of renewable energy potential, and for developing climate change mitigation policies such as REDD+, among others. Wall-to-wall mapping of aboveground biomass (AGB) is now possible with satellite remote sensing (RS). However, RS methods require extant, up-to-date, reliable, representative and comparable in situ data for calibration and validation. Here, we present the Forest Observation System (FOS) initiative, an international cooperation to establish and maintain a global in situ forest biomass database. AGB and canopy height estimates with their associated uncertainties are derived at a 0.25 ha scale from field measurements made in permanent research plots across the world's forests. All plot estimates are geolocated and have a size that allows for direct comparison with many RS measurements. The FOS offers the potential to improve the accuracy of RS-based biomass products while developing new synergies between the RS and ground-based ecosystem research communities.