Distribution Of Malaria Research Articles

Spatiotemporal Variation of Malaria Transmission in Different Altitudes of Lower Lake Victoria Basin, Kenya

Purpose: Malaria transmission is one of the consequences of climate variability and change. The burden is greatest in the developing countries of the tropics especially Africa south of the Sahara. In Kenya, particularly the Lower Lake Victoria Basin (LLVB), it is blamed on the historical high rainfall, temperature and relative humidity. This study sought to determine spatiotemporal variation of malaria transmission in different altitudes of the LLVB, Kenya.
 Methodology: The study relied on data from routine malaria case transmission records archived by the Health Information System for ten years. Data for Kakamega, Kisumu and Migori Counties were obtained from the Kenya Health Information System (KHIS) through Sub-County Health Facilities. Pearson’s Product Moment Correlation Coefficient was used to correlate the suspected and confirmed transmission cases. ANOVA was used in testing the variability of transmission, Time Series to determine transmission characteristics while malaria case transmission tables and Tukeys Honest Significance Difference (HSD) were for testing the significance of the distribution of malaria.
 Findings: The suspected cases were found to have been overstated in Migori and Kakamega Counties. Malaria transmission varied by altitude, space and time during the study period. Trends increased in Kisumu and Kakamega Counties while it decreased in Migori County. Transmission depicted both endemic and epidictic characteristics in the study area.
 Unique Contribution to Theory, Policy and Practices: Health facilities in the LLVB, Kenya should be equipped with more modern laboratory equipment to improve confirmation of transmission so as to reduce suspicions. Since most of the observations confirmed the varying nature of malaria transmission in relation to altitude, the aspect of blanket assumption concerning malaria transmission in the LLVB, Kenya should be stopped. LLVB, Kenya should be zoned by altitudes for effective mitigation and eradication strategies. The reduction of malaria case transmission in Migori County was an indication of possible future eradication. Its cause should be investigated and inferred to other counties. More research is necessary to establish situations elsewhere for effective management and control of transmissions. The revelations and recommendations were expected to enhance malaria eradication in the LLVB, Kenya and subsequently promote the realization of Kenya’s vision 2030.

Spatial patterns of malaria case burden and seasonal precipitation in India during 1995-2013.

The majority of malaria cases in Southeast Asia occur in India. It is a major public health problem in India, which accounts for substantial morbidity, mortality, and economic loss. The spatial distribution of malaria widely varies due to geo-ecological diversity, multi-ethnicity, and wide distribution of the different anopheline vectors. The predominant malaria parasites in India for malaria are P. Falciparum (Pf) and P. Vivax (Pv). This study analyzes the spatial patterns of malaria cases, specifically the two dominant malaria vectors, at the regional level and its relation to seasonal precipitation. The results of our study revealed an overall decline in malaria cases in the later years. The spatial spread of malaria cases was more widespread during the normal monsoon years vs drought years, which can be attributed to more conducive environment for mosquitos to breed. The correlation analysis revealed a stronger correlation between malaria case burden and monsoon precipitation. Spatially, the strongest correlation between seasonal and annual precipitation, and malaria case burden were located across the northern plains and northeast India. The results of this research further our understanding of the relationship between seasonal precipitation and malaria case burden at the regional level across India.

Distribution and Risk Factors of Malaria in the Greater Accra Region in Ghana.

Malaria remains a serious public health challenge in Ghana including the Greater Accra Region. This study aimed to quantify the spatial, temporal and spatio-temporal patterns of malaria in the Greater Accra Region to inform targeted allocation of health resources. Malaria cases data from 2015 to 2019 were obtained from the Ghanaian District Health Information and Management System and aggregated at a district and monthly level. Spatial analysis was conducted using the Global Moran’s I, Getis-Ord Gi*, and local indicators of spatial autocorrelation. Kulldorff’s space–time scan statistics were used to investigate space–time clustering. A negative binomial regression was used to find correlations between climatic factors and sociodemographic characteristics and the incidence of malaria. A total of 1,105,370 malaria cases were reported between 2015 and 2019. Significant seasonal variation was observed, with June and July being the peak months of reported malaria cases. The hotspots districts were Kpone-Katamanso Municipal District, Ashaiman Municipal Districts, Tema Municipal District, and La-Nkwantanang-Madina Municipal District. While La-Nkwantanang-Madina Municipal District was high-high cluster. The Spatio-temporal clusters occurred between February 2015 and July 2017 in the districts of Ningo-Prampram, Shai-Osudoku, Ashaiman Municipal, and Kpone-Katamanso Municipal with a radius of 26.63 km and an relative risk of 4.66 (p < 0.001). Malaria cases were positively associated with monthly rainfall (adjusted odds ratio [AOR] = 1.01; 95% confidence interval [CI] = 1.005, 1.016) and the previous month’s cases (AOR = 1.064; 95% CI 1.062, 1.065) and negatively correlated with minimum temperature (AOR = 0.86, 95% CI = 0.823, 0.899) and population density (AOR = 0.996, 95% CI = 0.994, 0.998). Malaria control and prevention should be strengthened in hotspot districts in the appropriate months to improve program effectiveness.

Spatiotemporal variation of malaria incidence in parasite clearance interventions and non-intervention areas in the Amhara Regional State, Ethiopia.

In Ethiopia, malaria remains a major public health problem. To eliminate malaria, parasite clearance interventions were implemented in six kebeles (the lowest administrative unit) in the Amhara region. Understanding the spatiotemporal distribution of malaria is essential for targeting appropriate parasite clearance interventions to achieve the elimination goal. However, little is known about the spatiotemporal distribution of malaria incidence in the intervention and non-intervention areas. This study aimed to investigate the spatiotemporal distribution of community-based malaria in the intervention and non-intervention kebeles between 2013 and 2018 in the Amhara Regional State, Ethiopia. Malaria data from 212 kebeles in eight districts were downloaded from the District Health Information System2 (DHIS2) database. We used Autoregressive integrated moving average (ARIMA) model to investigate seasonal variations; Anselin Local Moran's I statistical analysis to detect hotspot and cold spot clusters of malaria cases; and a discrete Poisson model using Kulldorff scan statistics to identify statistically significant clusters of malaria cases. The result showed that the reduction in the trend of malaria incidence was higher in the intervention areas compared to the non-intervention areas during the study period with a slope of -0.044 (-0.064, -0.023) and -0.038 (-0.051, -0.024), respectively. However, the difference was not statistically significant. The Global Moran's I statistics detected the presence of malaria clusters (z-score = 12.05; p<0.001); the Anselin Local Moran's I statistics identified hotspot malaria clusters at 21 locations in Gendawuha and Metema districts. A statistically significant spatial, temporal, and space-time cluster of malaria cases were detected. Most likely type of spatial clusters of malaria cases (LLR = 195501.5; p <0.001) were detected in all kebeles of Gendawuha and Metema districts. The temporal scan statistic identified three peak periods between September 2013 and November 2015 (LLR = 8727.5; p<0.001). Statistically significant most-likely type of space-time clusters of malaria cases (LLR = 97494.3; p<0.001) were detected at 22 locations from June 2014 to November 2016 in Metema district. There was a significant decline in malaria incidence in the intervention areas. There were statistically significant spatiotemporal variations of malaria in the study areas. Applying appropriate parasite clearance interventions is highly recommended for the better achievement of the elimination goal. A more rigorous evaluation of the impact of parasite clearance interventions is recommended.

Spatial-temporal pattern of malaria in Burkina Faso from 2013 to 2020

Despite the implementation of different strategies to fight against malaria in Burkina Faso since 2005, it remains today the leading cause of hospitalization and death. Adapting interventions to the spatial and temporal distribution of malaria could help to reduce this burden. This study aims to determine the structure and stability of malaria hotspots in Burkina Faso, with the objective of adapting interventions at small geographical scales.Data on malaria cases from 2013 to 2020 were acquired at municipalities level. Municipality-wise malaria endemicity levels were mapped through geographical information system (GIS) tools. Spatial statistical analysis using Kulldoff sweeps were carried out to identify malaria hotspots. Then we mapped the monthly malaria risk.Malaria is endemic in all the municipalities of Burkina Faso. However, two stable main spatial clusters (South-Western and Eastern part of the country) are emerging with seasonal reinforcement.Interventions targeting the identified clusters could significantly reduce the incidence of malaria in Burkina Faso. This also prompts for further studies to identify the local determinants of this high transmission for the future success of malaria control.

Prevalence of Transfusion-Transmitted Infections (HCV, HIV, Syphilis and Malaria) in Blood Donors: A Large-Scale Cross-Sectional Study.

Blood plays a major role in transmitting infectious diseases such as hepatitis C virus (HCV), human immunodeficiency virus (HIV), hepatitis B virus (HBV), syphilis, malaria, and many others. Thus, this study sought to evaluate the distribution of HCV, HIV, syphilis, and malaria among blood donors in Yemen. This is a cross-sectional study, conducted on blood donors at the national center in Yemen. Blood donors’ specimens were serologically tested for the presence of anti-HCV and anti-HIV antibodies, as well as anti-Treponema pallidum, anti-Plasmodium falciparum, and anti-Plasmodium vivax. A total of 16,367 donors were included in this study. Based on the donor’s occupation, the study showed that the relative seroprevalence of anti-HCV Ab among the donors was statistically significant, and relatively high prevalence was found among military donors (2.8%). Positive HIV antibody tests were only reported in 33 male donors (0.2%), who were mostly manual workers. A remarkably high prevalence of anti-Treponema pallidum was observed among manual workers (3.1%). There was a statistically significant difference in the distribution of anti-malaria Ab based on residency and age groups. This study revealed that the prevalence of HCV, HIV, syphilis, and malaria among donors was 2.0%, 0.2%, 2.4%, and 0.7%, respectively. Further genotyping studies are necessary to provide a complete picture of the prevalence of transfusion-transmitted infections (TTIs).

Malaria Prevalence and Distribution of Plasmodium Species in Southern Region of Ethiopia.

Malaria is caused by Plasmodium species and transmitted by Anopheles mosquitoes, which is the most common medical concern all over the world, including in Ethiopia. The current systematic review's goal was to determine the overall malaria prevalence and Plasmodium species distribution in Ethiopia's southern area. To achieve these objectives, 716 articles were manually searched from online databases such as PubMed, Scopus, Google Scholar, Science Direct, and Web of Science. The pooled metalogistic regression was calculated with the STATA 16 software to present the pooled prevalence with a 95% confidence interval (CI). Eighteen full-text articles met the inclusion criteria and were included in the study, out of the 716 studies initially identified. The majority of the articles in the systematic review used a cross-sectional study design, with sample sizes ranging from 160 to 583,668 participants. The study's lowest and highest malaria prevalence was 0.93% and 82.84%, respectively. During the current systematic review, the estimated malaria prevalence was 19.19% (95% CI: 14.67–23.70). There were 263,476 positive individuals in the study, accounting for 148,734, 106,946, and 7,796 cases of P. falciparum, P. vivax, and mixed infections, respectively. The overall prevalence of P. falciparum and P. vivax was 8.97% (95% CI: 6.31, 11.63) and 7.94% (95% CI: 6.56, 9.33), respectively. According to the systematic review, the most predominant Plasmodium species responsible for malaria disease in the study area was P. falciparum. The highest malaria rates were found in this systematic review. In the systematic review, P. falciparum was the most dominant Plasmodium species that was responsible for malaria disease in the study area. This systematic review indicates the highest malaria prevalence in the southern regions of Ethiopia. Therefore, existing malaria prevention and control strategies in the southern region of Ethiopia should be revised.

Malaria Threatens to Bounce Back in Abergele District, Northeast Ethiopia: Five-Year Retrospective Trend Analysis from 2016-2020 in Nirak Health Center.

Background In Sub-Saharan African countries, malaria is a leading cause of morbidity and mortality. In Ethiopia, malaria is found in three-fourths of its land mass with more than 63 million people living in malaria endemic areas. Nowadays, Ethiopia is implementing a malaria elimination program with the goal of eliminating the disease by 2030. To assist this goal, the trends of malaria cases should be evaluated with a function of time in different areas of the country to develop area-specific evidence-based interventions. Therefore, this study was aimed at analysing a five year trend of malaria in Nirak Health Center, Abergele District, Northeast Ethiopia, from 2016 to 2020. Methods A retrospective study was conducted at Nirak Health Center, Abergele District, Northeast Ethiopia from February to April 2021. Five-year (2016 to 2020) retrospective data were reviewed from the malaria registration laboratory logbook. The sociodemographic and malaria data were collected using a predesigned data collection sheet. Data were entered, cleaned, and analysed using SPSS version 26. Results In the five-year period, a total of 19,433 malaria suspected patients were diagnosed by microscopic examination. Of these, 6,473 (33.3%) were positive for malaria parasites. Of the total confirmed cases, 5,900 (91.2%) were P. falciparum and 474 (7.2%) were P. vivax. Majority of the cases were males (62.2%) and in the age group of 15-45 years old (52.8%). The findings of this study showed an increasing trend in malaria cases in the past five years (2016-2020). The maximum number of confirmed malaria cases reported was in the year 2020, while the minimum number of confirmed malaria cases registered was in 2016. Regarding the seasonal distribution of malaria, the highest number of malaria cases (55.2%) was observed in Dry season (September to January) and also the least (15.9%) was observed in Autumn (March to May) replaced by the least (21.6%) was observed in Rainy season (June to August), that is, the major malaria transmission season in Ethiopia and the least (15.9%) was observed in autumn (March to May). Conclusion The trends of malaria in Nirak Health Center showed steadily increasing from the year 2016–2020, and the predominant species isolated was P. falciparum. This showed that the malaria control and elimination strategy in the area were not properly implemented or failed to achieve its designed goal. Therefore, this finding alarms the local governments and other stack holders urgently to revise their intervention strategies and take action in the locality.

Spatial pattern and predictors of malaria in Ethiopia: Application of auto logistics regression.

IntroductionMalaria is a severe health threat in the World, mainly in Africa. It is the major cause of health problems in which the risk of morbidity and mortality associated with malaria cases are characterized by spatial variations across the county. This study aimed to investigate the spatial patterns and predictors of malaria distribution in Ethiopia.MethodsA weighted sample of 15,239 individuals with rapid diagnosis test obtained from the Central Statistical Agency and Ethiopia malaria indicator survey of 2015. Global Moran’s I and Moran scatter plots were used in determining the distribution of malaria cases, whereas the local Moran’s I statistic was used in identifying exposed areas. The auto logistics spatial binary regression model was used to investigate the predictors of malaria.ResultsThe final auto logistics regression model was reported that male clients had a positive significant effect on malaria cases as compared to female clients [AOR = 2.401, 95% CI: (2.125–2.713) ]. The distribution of malaria across the regions was different. The highest incidence of malaria was found in Gambela [AOR = 52.55, 95%CI: (40.54–68.12)] followed by Beneshangul [AOR = 34.95, 95%CI: (27.159–44.963)]. Similarly, individuals in Amhara [AOR = 0.243, 95% CI:(0.195–0.303], Oromiya [AOR = 0.197, 955 CI: (0.158–0.244)], Dire Dawa [AOR = 0.064, 95%CI(0.049–0.082)], Addis Ababa[AOR = 0.057,95%CI:(0.044–0.075)], Somali[AOR = 0.077,95%CI:(0.059–0.097)], SNNPR[OR = 0.329, 95%CI: (0.261–0.413)] and Harari [AOR = 0.256, 95%CI:(0.201–0.325)] were less likely to had low incidence of malaria as compared with Tigray. Furthermore, for one meter increase in altitude, the odds of positive rapid diagnostic test (RDT) decreases by 1.6% [AOR = 0.984, 95% CI: (0.984–0.984)]. The use of a shared toilet facility was found as a protective factor for malaria in Ethiopia [AOR = 1.671, 95% CI: (1.504–1.854)]. The spatial autocorrelation variable changes the constant from AOR = 0.471 for logistic regression to AOR = 0.164 for auto logistics regression.ConclusionsThis study found that the incidence of malaria in Ethiopia had a spatial pattern which is associated with socio-economic, demographic, and geographic risk factors. Spatial clustering of malaria cases had occurred in all regions, and the risk of clustering was different across the regions. The risk of malaria was found to be higher for those who live in soil floor-type houses as compared to those who lived in cement or ceramics floor type. Similarly, households with thatched, metal and thin, and other roof-type houses have a higher risk of malaria than ceramics tiles roof houses. Moreover, using a protected anti-mosquito net was reducing the risk of malaria incidence.

Mapping Malaria Prevalence Using Geographic Information Systems (GIS) in Rivers State, Nigeria

&#x0D; Background: Nigeria aspires to eradicate malaria, and the significance of mapping in this endeavour has grown. The prevalence and spatial distribution of malaria in Rivers State were studied using data from Primary Healthcare Centres (PHCs).&#x0D; Methodology: PHCs in Rivers State were geo-referenced using the global positioning system (GPS) and 74 were selected across 21 local government areas using Systematic GridPoint Sampling Technique. Blood samples were obtained from 2340 consented individuals whose demographic data were obtained with structured questionnaires. Blood films were examined for Plasmodium spp. using standard parasitological techniques. An overall prevalence of 56.3% was recorded identifying only P.falciparum. Coordinates of PHCs sampled and the prevalence data for malaria were inputted into a spread sheet and imported into ArcGIS 10.7. This was used to generate prevalence maps of malaria infection in the State.&#x0D; Results: Ogu-Bolo, Omumma, Abua-Odual LGAs recorded very high LGA prevalence whereas Ikwerre, Abua-Odual, Ahoada West, Oyigbo and Ogba/Egbema/Ndoni LGAs recorded very high state-level prevalence. Eleme and Port Harcourt City LGAs had the least prevalence.&#x0D; Conclusion: The observed spatial variation could be attributed to land use land cover (LULC) patterns and further research to evaluate the impact of LULC patterns on the spatial distribution of malaria is recommended. This study provides malaria maps which will serve as a valuable resource to policy makers for targeted interventions in the State.&#x0D; &#x0D;

Late Quaternary changes in malaria-free areas in Papua New Guinea and the future perspectives

The New Guinea Highlands were among the first areas where agricultural societies developed about 9 kya. Even today, the highest human population densities can be found in the tropical highlands, those are the most important shelters for societies in this seriously malaria-affected equatorial area. In this study, the distribution and altitudinal patterns of Plasmodium vivax and Plasmodium falciparum malaria, as well as the potential generation numbers and the annual season lengths of the extrinsic transmission periods of the parasites were modelled for the Last Glacial Maximum, the Mid-Holocene Period, 1960–1990 and 2061–2080 in the Papua New Guinea Highland provinces. It was found that areas influenced by Plasmodium vivax malaria have always been larger than the endemic regions of Plasmodium falciparum. After the Last Glacial Period, the extension of the malaria-free areas decreased dramatically. It could trigger the development of agriculture in the highlands in the early Holocene due to the increasing population concentration in malaria-free areas. These malaria-free regions could be stable in the rest part of the Holocene, which could explain the high human genetic and cultural diversity of the New Guinea Highlands. Future models predict the disruption of this stability and the notable decrease of the malaria-free areas in the highlands, especially in the case of Plasmodium vivax malaria, but the upward move in the Plasmodium falciparum-endemic regions also seems to be notable. These changes can negatively affect the demographic stability and cultural complexity of the traditional highlander communities in Papua New Guinea.

Beyond eves and cracks: An interdisciplinary study of socio-spatial variation in urban malaria transmission in Ethiopia.

During the past century, the global trend of reduced malaria transmission has been concurrent with increasing urbanization. Although urbanization has traditionally been considered beneficial for vector control, the adaptation of malaria vectors to urban environments has created concerns among scientific communities and national vector control programs. Since urbanization rates in Ethiopia are among the highest in the world, the Ethiopian government developed an initiative focused on building multi-storied units organized in condominium housing. This study aimed to develop an interdisciplinary methodological approach that integrates architecture, landscape urbanism, medical anthropology, and entomology to characterize exposure to malaria vectors in this form of housing in three condominiums in Jimma Town. Mosquitoes were collected using light trap catches (LTCs) both indoor and outdoor during 2019's rainy season. Architectural drawings and ethnographic research were superposed to entomological data to detect critical interactions between uses of the space and settlement conditions potentially affecting malaria vector abundance and distribution. A total of 34 anopheline mosquitoes comprising three species (Anopheles gambiae s.l, An. pharoensis and An. coustani complex) were collected during the three months of mosquito collection. Anopheles gambiae s.l, the principal malaria vector in Ethiopia, was the predominant species of all the anophelines collected. Distribution of mosquito breeding sites across scales (household, settlement, urban landscape) is explained by environmental conditions, socio-cultural practices involving modification of existing spaces, and systemic misfits between built environment and territory. Variations in mosquito abundance and distribution in this study were mainly related to standard building practices that ignore the original logics of the territory, deficiency of water and waste disposal management systems, and adaptations of the space to fit heterogeneous lifestyles of residents. Our results indicate that contextualizing malaria control strategies in relation to vector ecology, social dynamics determining specific uses of the space, as well as building and territorial conditions could strengthen current elimination efforts. Although individual housing remains a critical unit of research for vector control interventions, this study demonstrates the importance of studying housing settlements at communal level to capture systemic interactions impacting transmission at the household level and in outdoor areas.

The relationship between rising temperatures and malaria incidence in Hainan, China, from 1984 to 2010: a longitudinal cohort study

The influence of rising global temperatures on malaria dynamics and distribution remains controversial, especially in central highland regions. We aimed to address this subject by studying the spatiotemporal heterogeneity of malaria and the effect of climate change on malaria transmission over 27 years in Hainan, an island province in China. For this longitudinal cohort study, we used a decades-long dataset of malaria incidence reports from Hainan, China, to investigate the pattern of malaria transmission in Hainan relative to temperature and the incidence at increasing altitudes. Climatic data were obtained from the local meteorological stations in Hainan during 1984-2010 and the WorldClim dataset. A temperature-dependent R0 model and negative binomial generalised linear model were used to decipher the relationship between climate factors and malaria incidence in the tropical region. Over the past few decades, the annual peak incidence has appeared earlier in the central highland regions but later in low-altitude regions in Hainan, China. Results from the temperature-dependent model showed that these long-term changes of incidence peak timing are linked to rising temperatures (of about 1·5°C). Further, a 1°C increase corresponds to a change in cases of malaria from -5·6% (95% CI -4·5 to -6·6) to -9·2% (95% CI -7·6 to -10·9) from the northern plain regions to the central highland regions during the rainy season. In the dry season, the change in cases would be 4·6% (95% CI 3·7 to 5·5) to 11·9% (95% CI 9·8 to 14·2) from low-altitude areas to high-altitude areas. Our study empirically supports the idea that increasing temperatures can generate opposing effects on malaria dynamics for lowland and highland regions. This should be further investigated and incorporated into future modelling, disease burden calculations, and malaria control, with attention for central highland regions under climate change. Scientific and Technological Innovation 2030: Major Project of New Generation Artificial Intelligence, National Natural Science Foundation of China, Beijing Natural Science Foundation, National Key Research and Development Program of China, Young Elite Scientist Sponsorship Program by CAST, Research on Key Technologies of Plague Prevention and Control in Inner Mongolia Autonomous Region, and Beijing Advanced Innovation Program for Land Surface Science.

A Study of Malaria in Chhattisgarh State of India

Background: In 2019, Chhattisgarh contributed 2.29% of the population of India and 18% of Malaria cases in the country. Bastar Division contributed 76% of cases in the state. Objectives: To study the distribution of Malaria in Chhattisgarh and measures being adopted by the state government to tackle it. Methods: Analysis of the annual reports of the Malaria Division of the National Vector Borne Disease Control Programme (NVBDCP). Also, an analysis of NVBDCP annual reports from Chhattisgarh’s Department of Health website. In addition, a web search was made of reports pertaining to the recently held “Malaria-Mukt Bastar Abhiyan” campaigns held in Chhattisgarh. Results: The impact of the Phase 1 and Phase 2 campaigns were as follows. In the year prior to November 2019, there were 5272 cases of Malaria in the Bastar region. During the next year until November 2020, there were only 2696 cases. In other words, there was a reduction of about half in the number of Malaria cases. Conclusion: Therefore, some beneficial effects of these campaigns emerged in that the reservoirs of the malarial parasite, which is, the humans were effectively treated thereby reducing the number of those persons who could be sources of infection to the female Anopheline mosquito.

In vitro antileishmanial efficacy of antiplasmodial active aminoquinoline-chalcone hybrids

Significant overlaps in the geographical distribution of malaria and leishmaniasis increase the risk for comorbidity, which can affect treatment efficacy, cotreatment compatibility and disease progression. These concerns are also exacerbated by the existing shortcomings of malaria and leishmaniasis treatments. There is, therefore, a pressing need for new anti-infective drugs for both individual diseases and coinfections. The in vitro antileishmanial activity of previously synthesized antiplasmodial aminoquinoline-chalcone hybrids was evaluated. Hybrid 6, featuring a N-methyl-1,3-propylene diamine linker between pharmacophores, was 11-fold more potent in anti-amastigote activity against Leishmania major, responsible for cutaneous leishmaniasis, the most common form of the disease, in comparison to chloroquine. Hybrid 7, with a 2,2-(ethylenedioxy)bis(ethylamine) linker, was nearly 7-fold more active in anti-amastigote activity against Leishmania donovani, responsible for visceral leishmaniasis, the most lethal form of the infection. Although these two hybrids were less potent than the clinically used antileishmanial, amphotericin B, they still qualify as hits against both Plasmodium and Leishmania strains. Accordingly, this may lend them as potential agents against Leishmania-Plasmodium coinfections, which will require further investigation using in vitro co-cultures and subsequent in vivo testing for confirmation.

Spatial codistribution of HIV, tuberculosis and malaria in Ethiopia

BackgroundHIV, tuberculosis (TB) and malaria are the three most important infectious diseases in Ethiopia, and sub-Saharan Africa. Understanding the spatial codistribution of these diseases is critical for designing geographically targeted...

Spatial distribution of malaria and primary healthcare in Cametá and Tucuruí, Pará state, Brazil.

Malaria cases in Brazil are concentrated in the Amazon region. In the state of Pará, malaria is considered an endemic disease, and the population has different levels of exposure, which contributes to different types of occurrence in the municipalities. A descriptive, cross-sectional, and ecological study was conducted using data from the Malaria Epidemiological Surveillance System of the municipalities of Cametá and Tucuruí, PA, Brazil, from 2014 to 2018; the Brazilian Institute of Geography and Statistics; and the National Registry of Health Institutions of the Ministry of Health. Statistical and spatial analyses of epidemiological, laboratory and public health service coverage variables were performed using the Bioestat 5.0 and ArcGis 10.5 software. 11,381 Malaria cases were reported in the two municipalities. The highest percentage of case notifications was reported in brown-skinned men aged from 19 and 59 years, and who had primary education levels. The predominant occupations were farming and livestock in Cametá and domestic activity in Tucuruí. The most common diagnostic examination used was a thick blood smear, and Plasmodium vivax was the species most often encountered. The percentage of primary care coverage increased during the study period. The spatial distribution of the disease was not homogeneous, and there were clusters of cases with different densities in Cametá and Tucuruí. Malaria is a public health problem in the municipalities of Cametá and Tucuruí, because of its transmission dynamics and variable spatial distribution as well as the coexistence of factors that favor the exposure of resident populations to epidemiological situations, thus reflecting health inequities.

Influences of Rainfall and Temperature on Malaria Endemicity in Cameroon: Emphasis on Bonaberi District

Relating the influence of climate on the occurrence of a vector-borne disease like malaria quantitatively is quite challenging. To better understand the disease endemicity, the effects of climate variables on the distribution of malaria in Cameroon are studied over space and time, with emphasis on the Bonaberi district. Meteorological monitoring can lead to proactive control. The government of Cameroon, through the National Control Malaria Program, has put in place strategies to control and stop the spread of the disease. This study is therefore geared towards assessing the yearly parasite ratio of malaria over the ten regions of Cameroon and to work out the influence of rainfall and temperature on disease endemicity with emphasis on a district of Douala. The model used is the VECTRI model, which shows the dynamic link between climatic variables and malaria transmission. The parasite ratio observed and simulated showed a maximum correlation of 0.75 in 2015. A positive relationship between temperature, rainfall and malaria is revealed in this study but Bonaberi has malaria all year round. The West region is the least affected by malaria. We recommend that For the VECTRI model to perform better, the population could be incorporated in the model.

Cross-sectional survey of asymptomatic malaria in Dak Nong province in the Central Highlands of Vietnam for the malaria elimination roadmap.

Asymptomatic parasite carriers represent a “silent” infective reservoir for malaria transmission and contributes to malaria persistence. However, limited data are available on asymptomatic malaria in Vietnam. Between November 2018 and March 2019, we conducted a malaria epidemiological survey of asymptomatic people (children ≥ 10 years old and adults ≥18 years old, n = 2,809) residing in three communes in Tuy Duc district, Dak Nong province in the Central Highlands of Vietnam. Based on the national stratification of malaria risk, Dak Buk So, Dak Ngo and Quang Truc communes were classified by the National Malaria Control Programme as low, moderate and high malaria endemic areas, respectively. Using participants’ finger prick blood samples, malaria parasites were detected by one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR). The median age (Interquartile Range) for adults and children were 35 years (26–50) and 12 years (11–14), respectively. The prevalence of asymptomatic malaria was 1.7% (22/1,328), 3.5% (31/890) and 12.2% (72/591) for participants from Dak Buk So, Dak Ngo and Quang Truc, respectively. The prevalence of asymptomatic malaria was lower in children compared to adults: 2.6% (9/352) versus 4.7% (116/2,457) (Odds Ratio 0.53, 95% Confidence Interval 0.28 to1.02). Ownership of long-lasting insecticide-treated bed nets and hammocks was 97.1%, 99.0% and 94.7% for participants in Dak Buk So, Dak Ngo and Quang Truc, respectively, however, only 66.0%, 57.3% and 42.8% of the participants reported using bed nets every night. Of the several risk factors examined, going to the forest two weeks prior to enrolment into the study and sleeping in the forest had a significant association with participants being infected with asymptomatic malaria in Quang Truc, but not in the other two communes. Knowledge of the prevalence and distribution of asymptomatic malaria will help design and evaluate future intervention strategies for malaria elimination in Vietnam.

Socio-Epidemiological Features and Spatial Distribution of Malaria in an Area under Mining Activity in the Brazilian Amazon Region.

Malaria is an acute febrile infectious disease that represents an important public health problem in the Brazilian amazon region. The present study described the socio-epidemiological and spatial characteristics of malaria in a population from the Tapajós mining areas, Pará, Brazilian Amazon. A cross-sectional study, including individuals from Itaituba city, an area under mining activity influence, was conducted. The geographic coordinates were obtained in the field using the Global Positioning System (GPS) Garmin 78csx; for spatial analysis, we used the Kernel Density Estimator with the application of scanning statistics with the SaTScan software. Of the 908 individuals, 311 were positive for malaria. Most of the malaria cases were associated with male individuals, gold miners and with a monthly income of 4-6 salaries. Binary logistic regression analysis demonstrated that gold miners were nearly five times more likely to acquire malaria. In addition, a context of risk for sexually transmitted infections, substance abuse and poor support conditions was observed, worsening the healthcare scenario in this endemic area for malaria. The spatial distribution of malaria cases is irregular in the municipality with hotspot areas located in the Amana Flona that coincide with areas of illegal mining and high human mobility. Finally, the presented socio-epidemiological and spatial distribution data may aid in the development of more effective control measures for malaria in the area.