ArticleMalaria journal2019
Spatio-temporal prevalence of malaria and anaemia in relation to agro-ecosystems in Mvomero district, Tanzania.
Article in Malaria journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- A comprehensive review of antimalarial medicinal plants used by Tanzanians.Pharmaceutical biology · 2024Pooled it
- Malaria transmission and prevalence in rice-growing versus non-rice-growing villages in Africa: a systematic review and meta-analysis.The Lancet. Planetary health · 2022Pooled it
- Climate change adapted rice production: does the system of rice intensification impact malaria vector ecology?Parasites & vectors · 2025Review
- Temporal and spatial trends of the prevalence of infections caused by Plasmodium parasites among rural community members in three regions with varying transmission intensities in Mainland Tanzania.Malaria journal · 2025Article
- Genomic Analysis Reveals a New Cryptic Taxon Within the Anopheles gambiae Complex With a Distinct Insecticide Resistance Profile in the Coast of East Africa.Molecular ecology · 2025Article
- Geospatial Analysis of Malaria Burden in Kagera Region, Northwestern Tanzania Using Health Facility and Community Survey Data.Open forum infectious diseases · 2024Article
- Spatio-temporal characterization of malaria prevalence in a peri-urban resource limited setting of Western Kenya Highlands.African health sciences · 2024Article
- Geographic inequalities and determinants of anaemia among preeclamptic women: a cross-sectional sample-based study in Bangladesh.BMC public health · 2024Article
- Asymptomatic and submicroscopic malaria infections in sugar cane and rice development areas of Ethiopia.Malaria journal · 2023Article
- Bayesian spatio-temporal modelling and mapping of malaria and anaemia among children between 0 and 59 months in Nigeria.Malaria journal · 2022Article
- Irrigation-Induced Environmental Changes Sustain Malaria Transmission and Compromise Intervention Effectiveness.The Journal of infectious diseases · 2022Article
- Impact of Agricultural Irrigation on Anemia in Western Kenya.The American journal of tropical medicine and hygiene · 2022Article
- Evaluating malaria prevalence and land cover across varying transmission intensity in Tanzania using a cross-sectional survey of school-aged children.Malaria journal · 2022Article
- Proximity of Residence to Irrigation Determines Malaria Risk and Anopheles Abundance at an Irrigated Agroecosystem in Malawi.The American journal of tropical medicine and hygiene · 2021Article
- Performance evaluation of Kuroiler and Sasso chicken breeds reared under farmer management conditions in highland and lowland areas of Mvomero district, Eastern Tanzania.Tropical animal health and production · 2021Article
- Prevalence, Parasite Density and Determinants of Falciparum Malaria Among Febrile Children in Some Peri-Urban Communities in Southwestern Nigeria: A Cross-Sectional Study.Infection and drug resistance · 2021Article
- Geo-Epidemiology of Malaria at the Health Area Level, Dire Health District, Mali, 2013-2017.International journal of environmental research and public health · 2020Article
- Retrospective Analysis of Malaria Cases in a Potentially High Endemic Area of Morogoro Rural District, Eastern Tanzania.Research and reports in tropical medicine · 2020Article
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3 authors at 2 institutions in 1 country.
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Abstract
backgroundAgro-ecological systems have been associated with increased malaria intensity. This study determined association between different agro-ecological systems, prevalence of malaria parasitaemia and anaemia in Mvomero district, Tanzania.
methodsThe study was carried out in three agro-ecosystems namely, savannah, rice-irrigation, and sugarcane. Malaria and anaemia prevalence were measured in four seasons of a year. Villages were categorized according to environmental characteristics, proportion of water-shaded areas and agro-ecosystems. Mixed-effects logistic regression analysis was used to determine factors associated with malaria infection.
resultsA total of 7888 individuals were involved with the overall malaria prevalence of 34.4%. Plasmodium falciparum was the dominant (99.52%) malaria species. Malaria prevalence was highest (42.9%) in children of 10-15 years of age, and significantly low during dry and hot season. Of the infected individuals, 78.1% were from rice-irrigation, 18.7% savannah and 3.2% sugarcane ecosystem. Individuals living in villages with high levels of water-shaded areas had highest malaria risk. Over three-quarters (78.9%) of the individuals slept under a mosquito net, with the highest (88.5%) coverage among individuals in sugarcane ecosystem. On average 47.1% of the children were anaemic. Anaemia was more prevalent (60.5%) among individuals in the savannah than in the rice-irrigation (48.2%) or sugarcane communities (23%). Analysis indicated that ecosystems and levels of water-shaded area were highly correlated, and altered levels of malaria infection. Gender, age, mosquito net-use, and season were other significant determinants of P. falciparum infection. Males had higher odds than females (OR = 1.16, 95% CI 1.05, 1.29). The risk for children 6-9 years and older children (10-15 years) was over 50% and 24%, respectively, higher compared to young ones (0-5 years). Use of mosquito net reduced malaria risk by 26%. The risk of infection was higher during dry and cool season (OR = 1.92, 95 %CI 1.66, 2.23) compared to other seasons. Living in villages with high level of water-shaded areas increased the chances of getting malaria up to 15 times than living in drier areas. Similarly, infection odds increased when living in savannah and rice-irrigation ecosystems than in the sugarcane ecosystem.
conclusionsFindings show significant variations in malaria prevalence between communities living in different agro-ecosystems within the same district. Local malaria control strategies should consider these variations and liaise with agricultural experts while designing interventions to maximize effectiveness.
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