Malaria transmission in two rural communities in the forest zone of Ghana

Abonuusum, Ayimbire; Owusu-Daako, Kofi; Tannich, Egbert; May, Jürgen; Garms, R.; Kruppa, Thomas

doi:10.1007/s00436-010-2195-1

Cited by 24 publications

(23 citation statements)

References 14 publications

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“…The climate is semihumid tropical and malaria transmission is intense and perennial. The morbidity and mortality value for malaria in Ghana was 109 per 100,000 population with annual entomological inoculation rates of neighboring areas of Kona and Afamanaso (both within the Ashanti region, forest zone) being 490 and 866 infectious bites per year, respectively—the majority of transmission occurring between 21 and 6 hours …”

Section: Methodsmentioning

confidence: 99%

Investigating the prevalence of transfusion transmission of Plasmodium within a hyperendemic blood donation system

et al. 2012

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Section: Methodsmentioning

confidence: 99%

Investigating the prevalence of transfusion transmission of Plasmodium within a hyperendemic blood donation system

et al. 2012

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“…Whereas people in the Agona area ( we describe as rural and high transmission ) receive over 11,000 mosquitoe bites with over 800 infectious bites, the Kumasi area receives about 400 bites and about 200 infectious bite per year. The Kuntanase area is moderate in between the two [Abonuusum et al 2011, andBasing et al 2014] The citations are below…”

Section: Minor Commentsmentioning

confidence: 99%

Impact of malaria on haematological parameters of urban, peri-urban and rural patients in the Ashanti region of Ghana: a cross-sectional study

Mutala¹,

Badu²,

Owusu³

et al. 2019

AAS Open Res

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Background: This study aimed at investigating haematological changes in malaria patients across different demographic settlements. Malaria parasites trigger changes in certain haematological parameters, which may result in a number of clinical manifestations. Differences in demographic settlements, such as rural, peri-urban and urban settlements, may also influence these changes, but this has rarely been studied. Methods: We conducted a hospital-based, cross-sectional study from January to December 2018 in three different settlements. A total of 598 participants were recruited. Giemsa-stained blood smears were examined to detect and quantify malaria parasitaemia, while haematological parameters were measured using a haematology analyser. Results: The rural settlement had the highest malaria prevalence compared to the other study communities (p=0.009). The difference in parasite densities across the three communities was also significant (p=0.0149). When the malaria-infected population was compared to the uninfected, there were differences in red blood cell count (p=0.0170), haemoglobin levels (p=0.0165), mean corpuscular volume (p=0.0139) and platelet counts (p<0.0001). The difference in median white blood cell (p-value <0.0001), neutrophil (p-value <0.0001) and lymphocyte (p-value <0.0269) count were significantly higher in infected patients from the peri-urban area compared to malaria patients from the rural and urban areas. There were also significant differences in platelet (p=0.0002), plateletcrit (p=0.0041), mean platelet volume (p=0.0009) and platelet large cell ratio (p=0.0046) levels between patients from the urban, peri-urban and rural areas. Conclusions: Patients infected with malaria generally had low red blood cell, haemoglobin and platelets in comparison to uninfected patients. There were also significant differences in several haematological parameters between malaria-infected patients from the three demographic settlements. Atypical results from routine haematological assays, especially findings of anaemia and thrombocytopenia, may be indicative of malaria and, in cases where the infection is asymptomatic, may improve diagnosis by prompting a more thorough search for the parasite in the peripheral circulation.

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“…The dry season lasts from December to April. For the study region P. falciparum transmission is described to be perennial [ 15 ], with a transmission peak during the wet season [ 2 ].…”

Section: Methodsmentioning

confidence: 99%

“…The two important vectors of P. falciparum in this region are Anopheles gambiae complex and An. funestus [ 15 ] . Both species have characteristic habitat preferences.…”

Section: Introductionmentioning

confidence: 99%

Geographically weighted regression of land cover determinants of Plasmodium falciparum transmission in the Ashanti Region of Ghana

et al. 2014

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BackgroundMalaria is a mosquito-borne parasitic disease that causes severe mortality and morbidity, particularly in Sub-Saharan Africa. As the vectors predominantly bite between dusk and dawn, risk of infection is determined by the abundance of P. falciparum infected mosquitoes in the surroundings of the households. Remote sensing is commonly employed to detect associations between land use/land cover (LULC) and mosquito-borne diseases. Due to challenges in LULC identification and the fact that LULC merely functions as a proxy for mosquito abundance, assuming spatially homogenous relationships may lead to overgeneralized conclusions.MethodsData on incidence of P. falciparum parasitaemia were recorded by active and passive follow-up over two years. Nine LULC types were identified through remote sensing and ground-truthing. Spatial associations of LULC and P. falciparum parasitaemia rate were described in a semi-parametric geographically weighted Poisson regression model.ResultsComplete data were available for 878 individuals, with an annual P. falciparum rate of 3.2 infections per person-year at risk. The influences of built-up areas (median incidence rate ratio (IRR): 0.94, IQR: 0.46), forest (median IRR: 0.9, IQR: 0.51), swampy areas (median IRR: 1.15, IQR: 0.88), as well as banana (median IRR: 1.02, IQR: 0.25), cacao (median IRR: 1.33, IQR: 0.97) and orange plantations (median IRR: 1.11, IQR: 0.68) on P. falciparum rate show strong spatial variations within the study area. Incorporating spatial variability of LULC variables increased model performance compared to the spatially homogenous model.ConclusionsThe observed spatial variability of LULC influence in parasitaemia would have been masked by traditional Poisson regression analysis assuming a spatially constant influence of all variables. We conclude that the spatially varying effects of LULC on P. falciparum parasitaemia may in fact be associated with co-factors not captured by remote sensing, and suggest that future studies assess small-scale spatial variation of vegetation to circumvent generalised assumptions on ecological associations that may in fact be artificial.Electronic supplementary materialThe online version of this article (doi:10.1186/1476-072X-13-35) contains supplementary material, which is available to authorized users.

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Malaria transmission in two rural communities in the forest zone of Ghana

Cited by 24 publications

References 14 publications

Investigating the prevalence of transfusion transmission of Plasmodium within a hyperendemic blood donation system

Investigating the prevalence of transfusion transmission of Plasmodium within a hyperendemic blood donation system

Impact of malaria on haematological parameters of urban, peri-urban and rural patients in the Ashanti region of Ghana: a cross-sectional study

Geographically weighted regression of land cover determinants of Plasmodium falciparum transmission in the Ashanti Region of Ghana

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