&lt;p&gt;Trends of Malaria Morbidity and Mortality from 2010 to 2017 in Bale Zone, Ethiopia: Analysis of Surveillance Data&lt;/p&gt;

Kalil, Falaho Sani; Badeso, Mohammed Hasen; Wario, Shukri Kabeta

doi:10.2147/idr.s284281

Cited by 14 publications

(5 citation statements)

References 7 publications

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“…It was 1.2%, 1.6% during 2019 and 2020 respectively. This was in agreement with the study done in Bale zone from 2010-2017 also support our ndings which describes that annual number of malaria death is uctuating by 0%,1%,2% in 2010,2011 and 2012 respectively and 0% from 2013-2016 and 6% in 2017 [15].…”

Section: Discussionsupporting

confidence: 93%

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A five-year (2016-2020) trend analysis of malaria surveillance data in Oromia regional state, Ethiopia.

Olani

Solomon

Kaba

et al. 2021

Preprint

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Background:-Continues malaria surveillance data analysis plays a significant role in monitoring trends over time and evaluating the effectiveness of malaria prevention and control programs. Hence, this study was part of such an effort to achieve this goal. The main aim of this study was to analyses a five years (2016-2020) malaria surveillance data in Oromia region, Ethiopia.Methods:-a descriptive cross-sectional study design was used to analyse the five years (2016-2020) trends of malaria cases in Oromia regional state, Ethiopia.Results:-A total of 5,843,373malaria suspected cases were reported during the five-year period. Among the total reported cases 727,738 were a total of both clinical and parasitological confirmed cases. An average total malaria annual parasite incidence (API) was 4 per 1,000 person. The highest malaria cases were observed during spring and summer seasons.Conclusions and recommendation:-Trends of total clinical and confirmed malaria cases were decreased from year to year except for the recent one year with an exceptional variability in 2019.The highest or peak of malaria cases was observed during the spring season (September-November). Malaria indicator based performance plans and achievements should be regularly and strictly reviewed and evaluated at each level.

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Section: Discussionsupporting

confidence: 93%

“…The peak of malaria incidence occurs during spring season (September, October and November) and the second peak of malaria incidence was observed during summer season (June, July, August). This nding was in line with the studies conducted in Bale Zone, North West Tigray, East Wollega Zone, and Wolkite health center [13,10,8,6].…”

Section: Discussionsupporting

confidence: 89%

A five-year (2016-2020) trend analysis of malaria surveillance data in Oromia regional state, Ethiopia.

Olani

Solomon

Kaba

et al. 2021

Preprint

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“…Studies conducted in Dembecha, west Gojjam zone of Amhara regional state and Jardega Jarte district, Horo guduru Wollega zone of Oromia regional state, Ethiopia [ 14 , 15 ], support the overall finding of malaria prevalence over the last seven years in Maksegnit Health Center. However, our finding is lower than other retrospective studies conducted in Adi Arkay [ 16 ], in selected zones of Amhara regional state [ 17 ], Bale zone [ 18 ], Kersa district of Oromia region [ 19 ], Gorgora [ 20 ], Jimma [ 21 ], Kola Diba [ 22 ], Guba [ 7 ], Tselemt [ 23 ], and Wolaita [ 24 ], with a positivity rate ranging from 21.8 to 66.7%. On the contrary, studies conducted in Arsi Negelle (11.45%), Ataye (8.4%), Bahrdar (5%), Bichena (9.28%), Halaba (9.5%), Woreta (5.6%), Libokemkim (10.9%), Wolketie (8.56%), and Kombolcha (7.52%) reported lower malaria cases [ 25 – 33 ] when compared with our finding.…”

Section: Discussioncontrasting

confidence: 92%

“…Local community and leaders' commitment to implementing the recommended public health intervention measures laboratory personnel skills in malaria microscopy, geographical location of the study setting, applied diagnostic tools, study period, and accessibility of control measures differed from one place to another which could all be the possible reasons for the discrepancies. For instance, regarding diagnostic tool variation, a study conducted in bale Zone [ 18 ], Ethiopia, and in selected Zone of Amhara region [ 17 ] used a combined malaria microscopy and RDT result to estimate the overall prevalence of malaria in their respective area, whereas our study used only malaria microscopy report. As a result of the differences in diagnostic sensitivity between the two techniques, the superiority of their report over the current report could be due to the overestimation effect of malaria RDT, which could be the plausible reason for the inconsistency of the result.…”

Section: Discussionmentioning

confidence: 99%

A Retrospective Analysis of Malaria Trends in Maksegnit Health Center over the Last Seven Years, Northwest Ethiopia: 2014-2020

Eshetu

Muhamed

Awol

et al. 2022

Journal of Parasitology Research

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Background. In Ethiopia, despite various public health intervention approaches have been implemented to eliminate malaria, its public health problem remains considerable. There are such numerous studies; however, investigating the trend of malaria infection in various settings is paramount for area-specific evidence-based interventions, evaluating ongoing malaria control programs. Hence, since the trend of malaria infection in Maksegnit has not yet been documented, this study is aimed at assessing the seven-year trend of malaria in Maksegnit Health Center. Methods. An institutional-based retrospective study was conducted to assess the trend of malaria prevalence over the last seven years (2014-2020) using recorded blood smear reports in the laboratory logbook in Maksegnit Health Center, Northwest Ethiopia. Result. Over the last seven years, a total of 28217 clinically malaria-suspected individuals were requested for blood film examination at Maksegnit Health Center. Of whom, microscopically confirmed malaria case was found in 4641/28217 (16.4%). A significant seasonal and interannual variation of malaria cases was observed ( P < 0.001 ). The highest prevalence was observed in years 2014 (25.5%) and 2020 (25.1%), while the minimum annual prevalence was seen in 2017/18 (6.4%). The month of October (25.5%) had the highest number of malaria cases documented, while February had the least (4.7%). Males and individuals under the age group of 15-45 were the most affected segments of the population. A significant interannual fluctuating prevalence of malaria cases was recorded ranging from 25.5% to 6.4% ( P < 0.001 ). Conclusion. Malaria is still a public health threat in the study area despite significant fluctuating patterns of malaria was observed in the last seven years. In particular, a bounced back trend of malaria from 2018 to 2020 is alarming. Thus, the implementation of ongoing intervention approaches should be reconsidered, and uninterrupted efforts of the concerned bodies are still needed.

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“…This is as a result of the high immunity gained from breast milk in children who are still being breast fed. Furthermore, similar studies performed in Ethiopia and other parts of Africa [ 23 ] display the same results, where children who share the same bed with their mothers are more likely to be covered and sleep under a mosquito net than those who do not share a bed with their mothers. Another study in Rwanda by [ 24 ] supports the latter fact, where the study showed that malaria infection rates among children increase with increasing age because the use of mosquito nets reduces with the increasing age among children.…”

Section: Discussionsupporting

confidence: 64%

Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019

Gondwe

Yang

Yosefe

et al. 2021

IJERPH

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Background: Malaria continues to be a major public health problem in Malawi and the greatest load of mortality and morbidity occurs in children five years and under. However, there is no information yet regarding trends and predictions of malaria incidence in children five years and under at district hospital level, particularly at Nsanje district hospital. Aim: Therefore, this study aimed at investigating the trends of malaria morbidity and mortality in order to design appropriate interventions on the best approach to contain the disease in the near future. Methodology: Trend analysis of malaria morbidity and mortality together with time series analysis using the SARIMA (Seasonal Autoregressive Integrated Moving Average) model was used to predict malaria incidence in Nsanje district. Results: The SARIMA model used malaria cases from 2015 to 2019 and created the best model to forecast the malaria cases in Nsanje from 2020 to 2022. An SARIMA (0, 1, 2) (0,1,1)12 was suitable for forecasting the incidence of malaria for Nsanje. Conclusion: The mortality and morbidity trend showed that malaria cases were growing at a fluctuating rate at Nsanje district hospital. The relative errors between the actual values and predicted values indicated that the predicted values matched the actual values well. Therefore, the model proved that it was adequate to forecast monthly malaria cases and it had a good fit, hence, was appropriate for this study

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<p>Trends of Malaria Morbidity and Mortality from 2010 to 2017 in Bale Zone, Ethiopia: Analysis of Surveillance Data</p>

Cited by 14 publications

References 7 publications

A five-year (2016-2020) trend analysis of malaria surveillance data in Oromia regional state, Ethiopia.

A five-year (2016-2020) trend analysis of malaria surveillance data in Oromia regional state, Ethiopia.

A Retrospective Analysis of Malaria Trends in Maksegnit Health Center over the Last Seven Years, Northwest Ethiopia: 2014-2020

Epidemiological Trends of Malaria in Five Years and under Children of Nsanje District in Malawi, 2015–2019

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