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ORIGINAL RESEARCH

A Retrospective Study on the Burden of Malaria in Northeastern Ethiopia from 2015 to 2020: Implications for Pandemic Preparedness

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Pages 821-828 | Received 20 Dec 2022, Accepted 02 Feb 2023, Published online: 11 Feb 2023

Abstract

Background

Regardless of various prevention and control strategies, malaria continues to be a significant public health problem in Ethiopia. As there are few studies on malaria trend analysis in Northeastern Ethiopia, it hinders the evaluation of ongoing and prioritization of new malaria intervention strategies, particularly during the period of pandemics. Therefore, the present study investigated the trend of malaria prevalence in Northeastern Ethiopia from 2015 to 2020.

Methods

An institution-based retrospective study was employed to assess the trend of malaria prevalence over a 6-year period (2015–2020) in three districts (Jile tumuga, Aruma fursi, and Dawachefa) of Northeastern Ethiopia. Data were extracted from clinical records of malaria cases by trained medical laboratory technologists. The associations between the prevalence of malaria and independent variables (age group, malaria transmission season, and districts) were assessed using chi-square test. P-values with a cut-off point of 0.05 were used to determine statistically significant associations.

Results

In our study area, a total of 212,952 malaria suspected patients were diagnosed over the 6 years. Of these, 33,005 (15.5%) were confirmed malaria cases. The identified Plasmodium species were Plasmodium falciparum and P. vivax, accounting for 66.4% and 33.6%, respectively. These with the age of >15 years old were the most affected (41.9%). The highest numbers of malaria cases (34.6%) were recorded during spring season (September to November). The prevalence of Plasmodium species showed a significant association with age (X2=9.7; p=0.002), districts (X2=13.5; p<0.001), and malaria transmission season (X2=16.5; p<0.001).

Conclusion

In our study area, P. falciparum is the dominant species. We noted that malaria remains a public health concern and fluctuates throughout the years. Therefore, national, regional, zonal, and district health bureaus should strengthen the ongoing and devise appropriate prevention and control strategies even during the period of pandemics.

Introduction

Globally, malaria is one of the major public health concerns.Citation1 According to a World Health Organization (WHO) report, around 241 and 227 million malaria cases were reported in 2020 and 2019, respectively. Similarly, the mortality rate showed a 12% increase from 2019 to 2020.Citation2 Beyond mortality and morbidity, malaria causes a huge economic loss.Citation3 For instance, a WHO report estimated US$3.5 billion spending on malaria-related concerns in 2020 alone.Citation2 Regionally in 2018, the highest proportion of malaria burden was recorded in Africa, with 213 million (93%) cases and 380,000 deaths (94%), followed by the South-East Asia region, where 3.4% of all malaria cases were recorded.Citation4

Plasmodium falciparum and P. vivax are the most common malaria causing protozoans principally in developing countries.Citation5 In Ethiopia, 2.9 million confirmed malaria cases were reported in 2019 alone; of which 4,782 people died.Citation6 Malaria transmission is seasonal, peaking from September to December following the main rainy season. A slower transmission season also occurs during April and May.Citation7 The Ethiopian Ministry of Health reported that 75% of the country is malarious. As a result, nearly 70% of the population is at risk of contracting malaria.Citation8–10

The burden of malaria varied through time in different regions of Ethiopia. For instance, evidence from different studies revealed that the prevalence could be as high as 32.7% in Southwest Ethiopia,Citation11 29.8 in Jimma town,Citation16 21.7% in Dembia district,Citation12 8.6% in Southern Central Ethiopia,Citation13 6.9% in North Ethiopia,Citation15 and 5% in Bahir Dar city.Citation14 Evidence from these different studies indicated that educational level,Citation17 absence of Insecticide Treated Bed Net (ITN), and lack of information about malaria,Citation18 residence, and ageCitation19 are the determinant factors for its prevalence.

Northeastern Ethiopia, particularly Oromia special zone, is one of the malarious areas in Ethiopia, where malaria infection is a significant public health problem. The prevalence of malaria in this zone was reported to be 12.5%, with Plasmodium falciparum being the dominant parasite species.Citation41 Unfortunately, most of the previous malaria trend analysis studies were based on a single healthcare facility (either health center or hospital), which could not represent the actual malaria burden in a certain area.Citation13–15,Citation20,Citation21 Besides, although a previous study analyzed the changing malaria trend in this malaria-endemic area prior to the onset of COVID-19,Citation41 there are no comprehensive reports during the period of COVID-19. Thus, this study aimed at assessing the prevalence of malaria in three districts of Northeastern Ethiopia from 2015 to 2020.

Methods and Materials

Study Area and Population

This study was conducted in health institutions of the three districts (namely Jile tumuga, Aruma fursi, and Dawachefa) of Oromia special zone of Amhara regional state, Northeastern Ethiopia (). In this study, among the seven districts (Artuma fursi, Bati, Dawachefa, Dewe-Harewa, Jile tumuga, Kemissie, and Bati towns) of Oromia special zone, three districts were selected using the lottery method. The area is considered as lowland with an average annual temperature greater than 37°C. Geographically, the study area is located between 10°45’N 39°45’E, and 11°15′N 40°15′E, respectively. According to the information obtained from the districts health officers, malaria is one of the most prevalent seasonal diseases in the area. Indeed, to control the burden of malaria, the districts are taking various interventions, such as distribution of Long Lasting Insecticidal nets (LLIN) and indoor residual spraying. The study participants were all clients who were registered on the laboratory logbooks of health facilities for blood film examination.

Figure 1 Map showing the location of our study area.

Figure 1 Map showing the location of our study area.

Study Design and Period

A facility-based retrospective cross-sectional study design was conducted by reviewing laboratory records of health institutions to extract data on malaria morbidity from January to February 2021.

Data Collection and Quality Control

Malaria data recorded between October 1, 2015 and December 30, 2020 were extracted from records kept at the health institutions. The total number of malaria suspected cases and blood films examined, etiology species types, age, and district were extracted by well-trained medical laboratory experts. In the study area, microscopy is considered as a confirmatory procedure to detect the presence and type/species of Plasmodium parasite. In Ethiopia, as a standard operating procedure to detect malaria parasite,Citation20 thick blood films were taken as positive if one or more malaria parasites have been observed; and, negative if no parasites were seen after examining 1,000 white blood cells. Similarly, thin smears were considered positive for malaria if one or more malarial parasites were seen; and, negative if no asexual form of Plasmodium species was observed in 200 high-power fields.Citation22

Inclusion and Exclusion Criteria

All clients who were registered on the laboratory logbooks of health facilities were included and any data, such as the demographic characteristics (age and districts) and malaria diagnosis results, which were not properly recorded, were excluded from the analysis.

Study Variables

In this study, the outcome variable was the prevalence of malaria and the independent variables were month, season, year, and demographic characteristics (age and districts).

Data Analysis

The extracted data were entered into Excel version 13 and exported to SPSS version 25 for data analysis. Descriptive statistics were applied to summarize the data, show seasonal variability, and show the trend in malaria prevalence over the years. Malaria parasite proportions were compiled by age, districts, and malaria transmission season. The association between prevalence of malaria and independent variables (age group, malaria transmission season, and districts) were assessed using chi-square test. P-values with a cut-off point of 0.05 were used to determine a statistically significant association. Malaria prevalence is considered as the ratio between the number of people infected with Plasmodium and the total number of people examined.

Ethical Consideration

Ethical approval was obtained from Wollo University, College of Medicine and Health Sciences. A support letter was also provided by each district health office administration. Written informed consent was obtained from the adult participants and guardians/parents for those below 18 years old. All the research procedures were performed in accordance with the Helsinki Declaration and WHO’s good clinical practices guidelines.

Results

Annual Trend of Malaria Prevalence

Over the 6-year period (2015–2020), a total of 212,952 malaria-suspected patients had requested blood film examination at the health institutions of the three districts (). In this study, the overall prevalence of malaria over the 6-years was 15.5%. The prevalence of malaria cases varied throughout those years. The number of confirmed malaria cases progressively increased from 2015 to 2016 and from 2019 to 2020. The highest confirmed malaria cases were reported in 2016, when 8,031 out of 43,681 suspected patients were confirmed to have malaria. Conversely, the lowest prevalence of malaria cases was observed in 2019. The number of confirmed malaria cases declined from 2017 to 2019 (). The prevalence showed an increasing trend from 2019 to 2020.

Table 1 Malaria Case Distribution Over Time in Three Districts of Northeastern Ethiopia from 2015 to 2020

Proportion of Malaria Cases in Relation to Districts

In the current study, the highest proportion of malaria cases were reported at Artuma fursi, 15,686 (47.5%). The lowest proportion of confirmed malaria cases was observed at Dawachefa (4,767, 14.5%). A significant association was detected between the proportion of Plasmodium species and districts (X2=13.5; p<0.001) ().

Table 2 Proportion of Malaria Cases (n=33,005) Among Age Groups of the Study Population, Districts and Seasons in Northeastern Ethiopia from 2015 to 2020

Plasmodium Parasite Distribution with Age Groups

Among the diagnosed Plasmodium species, falciparum was the dominant parasite species, accounting for 66.4% (). Even though malaria cases were observed in all age groups, the highest affected age group was those greater than 15 years old followed by 5–15 years old. Age was also significantly associated with the prevalence of malaria (X2=9.7; p=0.002) ().

Seasonal and Monthly Variation of Malaria Cases

The highest malaria transmission was reported during spring (September–November) (34.6%). Regarding Plasmodium species, the highest cases of P. falciparum were recorded during summer followed by spring season. On the other hand, the highest confirmed cases of P. vivax were observed during spring (). Concerning monthly variability, the maximum confirmed malaria cases were observed during July, August, and September. However, the minimum confirmed malaria cases were detected during March and February ().

Figure 2 Trend analysis of malaria cases by months from 2015 to 2020 (Plasmodium falciparum: 21,924; Plasmodium vivax: 11,081).

Figure 2 Trend analysis of malaria cases by months from 2015 to 2020 (Plasmodium falciparum: 21,924; Plasmodium vivax: 11,081).

Discussion

There are numerous ongoing malaria prevention and control interventions being implemented in Ethiopia over years in which their effectiveness is not well-addressed. In our study area, the overall prevalence of malaria burden over 6-years was 15.5% which was lower than the study reports in Kola Diba, Northwest Ethiopia (75%),Citation25 Benishangul-Gumuz regional state, Western Ethiopia (51.8%),Citation23 Woreta town (48%),Citation28 Omo zone of Southern Ethiopia (41.5%),Citation27 Northwest Ethiopia (36.1%),Citation24 Abeshge, South-central Ethiopia (33.8%),Citation26 Northwest part of Ethiopia (21.8%),Citation12 and Wollega zone (20.07%).Citation29 The lower prevalence of malaria in the present study might probably be linked with the study period, differences in weather conditions, and community awareness about malaria transmission and control mechanisms. In fact the burden of malaria is strongly associated with weather conditions, being more prevalent in warmer areas.Citation43 Indeed, our finding was relatively similar with the studies conducted in Kombolcha (7.5%)Citation21, Metema (17%)Citation30, and Arsi Negelle (11.4%).Citation31

Plasmodium falciparum was the more frequently reported species (66.4%) followed by P. vivax (33.6%) during the last 6-years. This finding was consistent with studies conducted in different parts of Ethiopia: Arsi Negelle,Citation31 Kombolcha town,Citation21 Ataye,Citation20 Bahir Dar city,Citation14 and Kola Diba.Citation25 The finding was also in line with an Ethiopian Federal Ministry of Health report.Citation32 However, reports from Jimma,Citation16 Wolkite town,Citation13 and Butajira areaCitation33 indicated the dominance of P. vivax, which indicates the shift of the malaria parasite probably due to drug resistance, climatic conditions, and the relapsing ability of the species.Citation42,Citation43 Besides, the existing malaria intervention activities are focusing on P. falciparum; therefore, ignorance of P. vivax might contribute to the trend shift. Unlike P. falciparum, P. vivax can also be reactivated in the absence of a mosquito bite. In addition to the conventional intervention activities, such as provision of impregnated bed net and application of insecticide residual spray, that are helpful for the control of Plasmodium species and its vector, it might be highly advantageous to use radically curative treatments in supervised modality in malaria endemic areas.Citation44,Citation45

The burden and prevalence of malaria cases varied through the years. Evidence from this study showed that the prevalence of malaria increased from 2015 to 2016 and it was higher in 2020 as compared with 2019. This finding was consistent with the retrospective studies from Ataye townCitation20 and Northwest Ethiopia,Citation12 which reported an increasing trend of malaria during 2015 and 2016.Citation20 On the other hand, the finding of the present study contradicted studies reported from Boricha districtCitation34 and Southwest Ethiopia.Citation35 The increased prevalence of malaria during 2020 was possibly linked with the emergence of the COVID-19 pandemic in which many resources were shifted for the control and prevention of this disease rather than other infectious diseases, such as malaria.Citation20 However, the prevalence of malaria decreased from 2017 to 2019. This might be associated with the implementation of various malaria prevention and control interventions, including an insecticide treated bed net (ITN), indoor residual spraying (IRS), and environmental management to achieving a sustainable development goal by reducing the infection by 2030. Moreover, the realization of a health extension package program is believed to partly contribute to the decline of malaria cases in the study area during 2019.Citation41

Regarding the distribution of malaria cases by districts, the highest proportion was reported in Artuma fursi (47.5%) followed by Jile tumuga (38%). This difference in the distribution of malaria burden in the districts might be due to variations in temperature and climatic condition. This finding is supported by a study in Amhara regional state.Citation41 Similarly, the study participants greater than or equal to 15 years were highly affected (41.9%). This finding was consistent with retrospective studies performed in Kola Diba,Citation25 Kombolcha,Citation21 Ataye, North Shoa,Citation20 Gondar,Citation12 Addi Arkay health center,Citation24 Abeshge town,Citation26 and Raya Azebo.Citation36 The high proportion among the productive age group could be associated with their engagement in field farm activities, which could increase their exposure to Anopheles mosquito bites.

Season also has an association with the prevalence of malaria, which is in line with the notion that the transmission of malaria is largely associated with “environmental, climatic, seasonal and behavioral factors”.Citation40 In our study area, the highest malaria transmission was recorded during spring (34.6%) followed by summer (34.2%), which is congruent with study findings from Northwest Ethiopia,Citation12 Southwest Ethiopia,Citation35 and Northern Ethiopia.Citation36 In most parts of Ethiopia, the peak season for the transmission of malaria is from September to December, following the major rainy season.Citation37 Seasonal rainfall and temperature variability is known to affect the breeding habitats and larval development of mosquito vectors, and the growth rate of the malaria parasites within their vector.Citation38,Citation39

Limitations of the Study

The current research work had some limitations. The findings could have been stronger if the study had included qualitative information about malaria intervention and control activities that are implemented during the 6 years in the three districts. This study also did not include case fatality rate and the prominent clinical condition of malaria infection. Incomplete laboratory registration book was also another limitation.

Conclusions

Malaria continues to be a significant community health concern in our study area. The highest confirmed malaria cases were reported in 2016. Plasmodium falciparum was the dominant parasite species. The prevalence of malaria was high particularly during spring and summer seasons. The most affected group of the population were the productive age groups (>15 years old). Collaborative efforts between different governmental (eg, national, regional, zonal, and district health bureaus) and non-governmental stakeholders are recommended to reduce the burden of malaria. Therefore, strengthening the ongoing and devising appropriate prevention and control strategies are necessary particularly during the period of pandemics.

Data Sharing Statement

Datasets analyzed during the current study are available from the corresponding author upon reasonable request.

Author Contributions

All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising, or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

Disclosure

The authors report no conflicts of interest in this work.

Acknowledgments

The authors acknowledge Wollo University for all the genuine support. Our gratitude also goes to the manager of the health institutions and data collectors for their cooperation.

References

  • Sakeni M, Khorram A, Majdzadeh R, Raiesi A. Indoor residual spraying coverage and acceptability rates to control malaria and the householders’ reasons of acceptance or rejection of spraying, in South-East of Iran. Int J Infect. 2015;2(4):1–9. doi:10.17795/iji-31548
  • World Health Organization. World Malaria Report 2021. Geneva: World Health Organization; 2021. Licence: CC BY-NC-SA 3.0 IGO.
  • USAID. Ethiopia malaria operational plan; 2020: 1–107. Available from: www.pmi.gov. Accessed February 2, 2023.
  • World Health Organization. World Malaria Report 2019. Geneva: World Health Organization; 2019. Licence: CC BY-NC-SA 3.0 IGO.
  • World Health Organization. Achieving the Malaria MDG Target: Reversing the Incidence of Malaria 2000–2015. World Health Organization; 2015.
  • Girum T, Shumbej T, Shewangizaw M. Burden of malaria in Ethiopia, 2000–2016: findings from the Global Health Estimates 2016. Trop Dis Travel Med Vaccines. 2019;5(1):1–7. doi:10.1186/s40794-019-0090-z
  • Abeku TA, Oortmarssen GJ, Borsboom G, de Vlas SJ, Habbema JDF. Spatial and temporal variations of malaria epidemic risk in Ethiopia: factors involved and implications. Acta Trop. 2003;7:331–340. doi:10.1016/S0001-706X(03)00123-2
  • Howes RE, Battle KE, Golding N, Hay SI. Plasmodium Vivax Thematic Review: Epidemiology: A Thematic Review Prepared for the Writing Committee for the Development of the WHO of Global Strategic Plan on Plasmodium Vivax Control and Elimination. Geneva: World Health Organization; 2014:103.
  • Federal Ministry of Health. Guideline for Malaria Epidemic Prevention and Control in Ethiopia. 2nd ed. Addis Ababa, Ethiopia: Federal Ministry of Health; 2004.
  • Adugna A. Malaria in Ethiopia; 2007. Available from: www.ethiodemographyandhealth.org. Accessed February 2, 2023.
  • Geshere G, Dabassa A, Petros B. Trend of malaria prevalence in Ilu Galan, Bako Tibe, and Danno Districts of West Shoa Zone, Oromiya Region, Ethiopia. J Biol Chem Res. 2014;31(2):678–693.
  • Addisu A, Tegegne Y, Mihiret Y, Setegn A, Zeleke AJ. A 7-year trend of malaria at primary health facilities in Northwest Ethiopia. J Parasitol Res. 2020;2020:1–5. doi:10.1155/2020/4204987
  • Solomon A, Kahase D, Alemayehu M. Trend of malaria prevalence in Wolkite health center: an implication towards the elimination of malaria in Ethiopia by 2030. Malar J. 2020;19:112. doi:10.1186/s12936-020-03182-z
  • Yimer M, Hailu T, Mulu W, Abera B, Ayalew W. A 5-year trend analysis of malaria prevalence with in the catchment areas of Felegehiwot Referral Hospital, Bahir Dar city, northwest-Ethiopia: a retrospective study. BMC Res Notes. 2017;10(1):4–7. doi:10.1186/s13104-017-2560-6
  • Berhe B, Mardu F, Legese H, Negash H. Seasonal distribution and seven year trend of malaria in North West Tigrai: 2012–2018, Ethiopia. Trop Dis Travel Med Vaccines. 2019;5:15. doi:10.1186/s40794-019-0091-y
  • Alemu A, Abebe G, Tsegaye W, Golassa L. Climatic variables and malaria transmission dynamics in Jimma town, South West Ethiopia. Parasit Vectors. 2011;4:30. doi:10.1186/1756-3305-4-30
  • Ediau M, Babirye JN, Tumwesigye NM, et al. Community knowledge and perceptions about indoor residual spraying for malaria prevention in Soroti district, Uganda: a cross-sectional study. Malar J. 2013;12(1):1–9. doi:10.1186/1475-2875-12-170
  • Gontie GB, Wolde HF, Baraki AG. Prevalence and associated factors of malaria among pregnant women in Sherkole district, Benishangul Gumuz regional state, West Ethiopia. BMC Infect Dis. 2020;20:573. doi:10.1186/s12879-020-05289-9
  • Tadesse F, Andrew W, Deressa W. Prevalence and associated risk factors of malaria among adults in East Shewa Zone of Oromia Regional State, Ethiopia: a cross-sectional study. BMC Public Health. 2018;18:25. doi:10.1186/s12889-017-4577-0
  • Feleke DG, Gebretsadik D, Gebreweld A. Analysis of the trend of malaria prevalence in Ataye, North Shoa, Ethiopia between 2013 and 2017. Malar J. 2018;17(1):1–6. doi:10.1186/s12936-018-2474-3
  • Gebretsadik D, Feleke DG, Fiseha M. Eight-year trend analysis of malaria prevalence in Kombolcha, South Wollo, north-central Ethiopia: a retrospective study. Parasit Vectors. 2018;11(1):1–6. doi:10.1186/s13071-018-2654-6
  • Moges B, Amare B, Belyhun Y, et al. Comparison of CareStart HRP2/pLDH COMBO rapid malaria test with light microscopy in north-west Ethiopia. Malar J. 2012;11:1–6. doi:10.1186/1475-2875-11-234
  • Alkadir S, Gelana T, Gebresilassie A. A five year trend analysis of malaria prevalence in Guba district, Benishangul- Gumuz regional state, western Ethiopia: a retrospective study. Trop Dis Travel Med Vaccines. 2020;6:18. doi:10.1186/s40794-020-00112-4
  • Tesfa H, Bayih AG, Zeleke AJ. A 17-year trend analysis of malaria at Adi Arkay, north Gondar zone, Northwest Ethiopia. Malar J. 2018;17(1):1–6. doi:10.1186/s12936-018-2310-9
  • Alemu A, Muluye D, Mihret M, Adugna M, Gebeyaw M. Ten year trend analysis of malaria prevalence in Kola Diba, North Gondar, Northwest Ethiopia. Parasit Vectors. 2012;5:173. doi:10.1186/1756-3305-5-173
  • Yimer F, Animut A, Erko B, Mamo H. Past five-year trend, current prevalence and household knowledge, attitude and practice of malaria in Abeshge, south-central Ethiopia. Malar J. 2015;14(1):1–11. doi:10.1186/s12936-015-0749-5
  • Ergete M, Sorsa S, Loha E, Asnak S. Trend of malaria cases in Hana and Keyafer health centers, south Omo zone, southern Ethiopia. Ethiop J Health Sci. 2018;28(3). doi:10.4314/ejhs.v28i3.5
  • Alelign A, Tekeste Z, Petros B. Prevalence of malaria in Woreta town, Amhara region, Northwest Ethiopia over eight years. BMC Public Health. 2018;18(1):1–6. doi:10.1186/s12889-018-5913-8
  • Gemechu T, Samuel A, Yewhalaw D. Ten years trend analysis of malaria prevalence and its correlation with climatic variables in Sibu Sire District, east Wollega zone, Oromia regional state, Western Ethiopia: a retrospective study. Sci Technol Arts Res J. 2015;4(4):99–105. doi:10.4314/star.v4i4.14
  • Ferede G, Worku A, Getaneh A, et al. Prevalence of malaria from blood smears examination: a seven-year retrospective study from Metema Hospital, Northwest Ethiopia. Malar Res Treat. 2013;2013:0–2.
  • Hailemariam M, Gebre S. Trend analysis of malaria prevalence in Arsi Negelle health center southern Ethiopia. J Infect Dis Immun. 2015;7(1):1–6. doi:10.5897/JIDI2014.0147
  • Ethiopian Public Health Institute (EPHI). Ethiopia National Malaria Indicator Survey 2015. Addis Ababa: Ethiopian Public Health Institute; 2016.
  • Woyessa A, Deressa W, Ali A, Lindtjørn B. Prevalence of malaria infection in Butajira area, south-central Ethiopia. Malar J. 2012;11:84. doi:10.1186/1475-2875-11-84
  • Dabaro D, Birhanu Z, Delenasaw D. Analysis of trends of malaria from 2010 to 2017 in Boricha District. South Ethiop Malar J. 2020;19:88. doi:10.1186/s12936-020-03169-w
  • Hawaria D, Getachew H, Zhong G, et al. Ten years malaria trend at Arjo-Didessa sugar development site and its vicinity. Southwest Ethiopia: a retrospective study. Malar J. 2019;18:145.
  • Tesfay K, Yohannes M, Bayisa S. Trend analysis of malaria prevalence in Raya Azebo district, Northern Ethiopia: a retrospective study. BMC Res Notes. 2018;11(1):1–5. doi:10.1186/s13104-018-4003-4
  • Federal Democratic Republic of Ethiopia Ministry of Health. National Strategic Plan for Malaria Prevention, Control and Elimination in Ethiopia 2011–2015. Addis Ababa, Ethiopia: Federal Democratic Republic of Ethiopia Ministry of Health; 2010.
  • Kibret S, Wilson GG, Ryder D, Tekie H. Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings. Ethiop Malar J. 2019;18:54. doi:10.1186/s12936-019-2689-y
  • Ngarakana-Gwasira ET, Bhunu CP, Masocha M, Mashonjowa E. Assessing the role of climate change in malaria transmission in Africa. Malar Res Treat. 2016;2016:7104291. doi:10.1155/2016/7104291
  • Ayele DG, Zewotir TT, Mwambi HG. Prevalence and risk factors of malaria in Ethiopia. Malar J. 2012;11(1):1–9. doi:10.1186/1475-2875-11-195
  • Tefera S, Bekele T, Getahun K, Negash A, Ketema T. The changing malaria trend and control efforts in Oromia Special zone, Amhara Regional State, North-East Ethiopia. Malar J. 2022;21(1):1. doi:10.1186/s12936-022-04149-y
  • Dasgupta S. Burden of climate change on malaria mortality. Int J Hyg Environ Health. 2018;221(5):782–791. doi:10.1016/j.ijheh.2018.04.003
  • Battle KE, Karhunen MS, Bhatt S, et al. Geographical variation in Plasmodium vivax relapse. Malar J. 2014;13(1):1–6. doi:10.1186/1475-2875-13-144
  • Thriemer K, Degaga TS, Christian M, et al. Reducing the risk of Plasmodium vivax after falciparum infections in co-endemic areas—a randomized controlled trial (PRIMA). Trials. 2022;23(1):1–2. doi:10.1186/s13063-022-06364-z
  • Poespoprodjo JR, Burdam FH, Candrawati F, et al. Supervised versus unsupervised primaquine radical cure for the treatment of falciparum and vivax malaria in Papua, Indonesia: a cluster-randomised, controlled, open-label superiority trial. Lancet Infect Dis. 2022;22(3):367–376. doi:10.1016/S1473-3099(21)00358-3