Knock down and insecticidal activity of the plants Tagetes minuta, Lippia javanica, Lantana camara, Tagetes erecta and Eucalyptus grandis on Anopheles arabiensis mosquitoes

The knock down and insecticidal effects of the plants Tagetes minuta, Lippia javanica, Lantana camara, Tagetes erecta and Eucalyptus grandis were evaluated against Anopheles arabiensis mosquitoes in thatched round huts in Mumurwi village. Leaves from these plants were smouldered in order to provide mosquito repellent smoke. Complete knock down was provided 40 minutes after mosquitoes were exposed to smoke of T. erecta, 60 minutes to smoke of T. minuta and E. grandis and 120 minutes to smoke of L. javanica. Complete knock down of mosquitoes could not be provided by L. camara within the 140-minute exposure period. The KT50 (time required to knock down 50% of the mosquitoes) values were 24.985 minutes (T. minuta), 34.473 minutes (T. erecta), 59.119 minutes (L. javanica), 59.828 minutes (L. camara) and 25.245 minutes (E. grandis). The KT90 (time required to knock down 90% of the mosquitoes) values were 48.060 minutes (T. minuta), 50.169 minutes (T. erecta), 178.341 minutes (L. javanica), 140.220 minutes (L. camara) and 47.998 minutes (E. grandis). Mortality rates 24h after exposure were 40% (T. minuta), 100% (T. erecta), 75% (L. javanica), 90% (L. camara) and 100% (E. grandis). In conclusion, smoke from the plants T. erecta, T. minuta and E. grandis had very fast knock down rates with T. erecta, L. camara and E. grandis killing over 90% of the An. arabiensis mosquitoes. Plant smoke is important in mosquito control

Malaria patterns across altitudinal zones of Mount Elgon following intensified control and prevention programs in Uganda

Background Malaria remains a major tropical vector-borne disease of immense public health concern owing to its debilitating effects in sub-Saharan Africa. Over the past 30 years, the high altitude areas in Eastern Africa have been reported to experience increased cases of malaria. Governments including that of the Republic of Uganda have responded through intensifying programs that can potentially minimize malaria transmission while reducing associated fatalities. However, malaria patterns following these intensified control and prevention interventions in the changing climate remains widely unexplored in East African highland regions. This study thus analyzed malaria patterns across altitudinal zones of Mount Elgon, Uganda. Methods Times-series data on malaria cases (2011-2017) from five level III local health centers occurring across three altitudinal zones; low, mid and high altitude was utilized. Inverse Distance Weighted (IDW) interpolation regression and Mann Kendall trend test were used to analyze malaria patterns. Vegetation attributes from the three altitudinal zones were analyzed using Normalized Difference Vegetation Index (NDVI) was used to determine the Autoregressive Integrated Moving Average (ARIMA) model was used to project malaria patterns for a 7 year period. Results Malaria across the three zones declined over the study period. The hotspots for malaria were highly variable over time in all the three zones. Rainfall played a significant role in influencing malaria burdens across the three zones. Vegetation had a significant influence on malaria in the higher altitudes. Meanwhile, in the lower altitude, human population had a significant positive correlation with malaria cases. Conclusions Despite observed decline in malaria cases across the three altitudinal zones, the high altitude zone became a malaria hotspot as cases variably occurred in the zone. Rainfall played the biggest role in malaria trends. Human population appeared to influence malaria incidences in the low altitude areas partly due to population concentration in this zone. Malaria control interventions ought to be strengthened and strategically designed to achieve no malaria cases across all the altitudinal zones. Integration of climate information within malaria interventions can also strengthen eradication strategies of malaria in such differentiated altitudinal zones

Socioeconomic inequalities in food insecurity and malnutrition among under-five children: within and between-group inequalities in Zimbabwe

Background Food insecurity and malnutrition in children are pervasive public health concerns in Zimbabwe. Previous studies only identified determinants of food insecurity and malnutrition with very little efforts done in assessing related inequalities and decomposing the inequalities across household characteristics in Zimbabwe. This study explored socioeconomic inequalities trend in child health using regression decomposition approach to compare within and between group inequalities. Methods The study used Demographic Health Survey (DHS) data sets of 2010\11 and 2015. Food insecurity in under-five children was determined based on the WHO dietary diversity score. Minimum dietary diversity was defined by a cut- off point of > 4 therefore, children with at least 3 of the 13 food groups were defined as food insecure. Malnutrition was assessed using weight for age (both acute and chronic under-nutrition) Z-scores. Children whose weight-for-age Z-score below minus two standard deviations (- 2 SD) from the median were considered malnourished. Concentration curves and indices were computed to understand if malnutrition was dominant among the poor or rich. The study used the Theil index and decomposed the index by population subgroups (place of residence and socioeconomic status). Results Over the study period, malnutrition prevalence increased by 1.03 percentage points, while food insecurity prevalence decreased by 4.35 percentage points. Prevalence of malnutrition and food insecurity increased among poor rural children. Theil indices for nutrition status showed socioeconomic inequality gaps to have widened, while food security status socioeconomic inequality gaps contracted for the period under review. Conclusion The study concluded that unequal distribution of household wealth and residence status play critical roles in driving socioeconomic inequalities in child food insecurity and malnutrition. Therefore, child food insecurity and malnutrition are greatly influenced by where a child lives (rural/urban) and parental wealth