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. 2023 Aug 5;2023:5278839. doi: 10.1155/2023/5278839

A Five-Year (2016-2020) Trend Analysis of Malaria Surveillance Data in Oromia Regional State, Ethiopia

Zalalem Olani 1,, Samrawit Solomon 2, Zalalem Kaba 3, Haile Bikila 4
PMCID: PMC10423085  PMID: 37576999

Abstract

Background

Continuous 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 an effort to achieve this goal. This study's main aim was to analyse five years (2016-2020) of malaria surveillance data in the Oromia Region, Ethiopia.

Methods

A descriptive cross-sectional study design was used to analyse the five-year (2016-2020) trend of malaria cases in the 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. The average total malaria annual parasite incidence (API) was 4 per 1,000 persons. The highest malaria cases were observed during the spring and summer seasons. Conclusions and Recommendation. Trends of total clinical and confirmed malaria cases decreased from year to year except for the recent year with an exceptional variability in 2019. The highest or peak of malaria cases was observed during spring season (September-November). Malaria indicator-based performance plans and achievements should be regularly and strictly reviewed and evaluated at each level.

1. Background

Malaria is a life-threatening protozoan disease caused by plasmodium parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. It is commonly caused by four species of the genus Plasmodium including Plasmodium vivax (PV), Plasmodium falciparum (PF), Plasmodium ovale (PO), Plasmodium malariae (PM), and Plasmodium knowlesi (PK) that are known to infect human beings. Out of the plasmodium species which causes malaria, PF is the deadliest parasite in terms of its morbidity and mortality and the most prevalent malaria parasite in sub-Saharan Africa accounting 99% for malaria cases in 2016, whereas PV spread geographically in the most densely populated regions [1]. Globally, 84 malaria-endemic nations (including French Guiana) reported an expected 247 million cases of malaria in 2021, up from 245 million in 2020, with the majority of this rise occurring in nations in the WHO African Region. Between 2019 and 2021, an estimated additional 13.4 million cases were attributed to disruptions during the COVID-19 pandemic [2]. The World Health Organization (WHO) African estimated over 200 million cases of malaria each year, with 90% of cases and 90% of deaths to occur in Africa [3].

In Ethiopia, 68% of the areas are endemic for malaria, and 60% of the country population are prone for infection of malaria. Mortality and morbidity attributed to malaria that declined significantly from 2015/16 to 2018/19, though morbidity has increased in 2019/2020. Death due to malaria has declined by 67% from 0.9/100,000 population to 0.3/100,000 population at risk between 2016 and 2019. Similarly, the annual parasite incidence (API) has declined by 37% from 19/1,000 population to 12/1,000 population in the same year. The number of confirmed malaria cases has reduced by 47% between 2016 and 2019. The trend of the number of malaria cases was diagnosed over the last five years; in Ethiopia, health sector transformation plan phase one (HSTP-I period) showed that malaria was consistently decreasing from 2016 until 2019, but it has increased in 2020. In 2020 (2012 Ethiopian fiscal year), 1,509,182 total malaria cases (clinical and laboratory confirmed) were diagnosed, among which 1,398,750 (93%) were laboratory-confirmed malaria cases. The number of total malaria cases in 2012 shows an increment by 515,183 cases (increased by 52%) from the 2011 EFY (Ethiopian fiscal year) malaria cases. According to 2012 Ethiopian fiscal year (EFY) federal ministry of health (FMOH) annual report in Oromia Regional State, around 53% of total populations are at risk of malaria case, 8% incidence rate, and 0.37 deaths out of 100,000 populations [4].

To realistically embark on the road towards malaria elimination, timely provision of accurate malaria surveillance data is necessary. In the context of the massive scale up of malaria interventions, there is increasing recognition that the current capacity of routine malaria surveillance, conducted in most African countries through integrated health management information systems (HMIS), is inadequate; indicators are poorly defined; data reporting and completeness are often of unknown quality; and timeliness can be extremely variable. Further, there is limited capacity for data analysis, data interpretation, and action [5].

To create a malaria-free nation, the government has set a big goal of eliminating malaria by 2030 [3]. To achieve the set goal, all concerned bodies in the country have shown a strong commitment. Hence, the country has been able to achieve about 50% overall malaria reduction goal by 2015. This remarkable achievement was attained mainly due to the implementation of intensive interventional strategies such as indoor residual spraying, use of bed nets, and combination chemotherapy. However, in some endemic areas of the same country, this reduction has not yet been achieved, and it is a major cause of illness and death [5]. In the past few years, the country has achieved substantial reduction of the burden of malaria from populations at risk. Despite the above promising outcomes, Ethiopia still needs to do much for malaria elimination. And the aim of this surveillance data analysis is to provide factual information, on the trend of malaria case, and locate malaria cases by place, person, and time to allocate resource and act timely for elimination. Besides, the information generated from the analysis of surveillance data is important to initiate public health action, which helps to identify the available gaps in the surveillance system (Figure 1).

Figure 1.

Figure 1

Overview of data source, flow, and use in malaria M&E system (adapted from the National Malaria Program Monitoring and Evaluation Plan 2014-2020).

2. Methods and Materials

2.1. Study Area and Period

It was conducted in Oromia Regional State, Ethiopia. It is one of the ten regions in Ethiopia. Addis Ababa is the capital city of the region. Currently, it consists of 21 administrative zones and 19 towns. The region is bordered by the Somali Region to the east; the Amhara Region, the Afar Region, and the Benishangul-Gumuz Region to the north; Dire Dawa to the northeast; the South Sudanese state of Upper Nile, Gambella Region, Southern Nations, Nationalities, and Peoples' Region, and Sidama Region to the west; the Eastern Province of Kenya to the south; and the Addis Ababa as an enclave surrounded by Oromia Special Zone Surrounding Finfinne in its center and the Harari Region as an enclave surrounded by East Hararghe in its east. Malaria surveillance data or Oromia Region reported on a weekly or monthly or yearly basis for the last five years (2016-2020) was analysed and interpreted from March 22 to May 15, 2021.

2.2. Study Design

A descriptive cross-sectional study design was employed to assess a five-year (2016-2020) trend analysis of malaria surveillance data in Oromia Regional State, Ethiopia.

2.3. Population

2.3.1. Source Population

The source population was any people living in Oromia Region that have sought health care services within the Oromia Regional State from January 2016 to December 2020.

2.3.2. Study Population

All reported cases of malaria in Oromia Region health facilities between January 2016 and December 2020 who satisfy the inclusion criteria are the study population.

2.4. Inclusion and Exclusion Criteria

A total of five-year period confirmed and clinically treated cases for malaria were included in the study, and all incomplete data were excluded.

2.5. Study Variables

  1. Months

  2. Zone

  3. Confirmed and clinical malaria case

  4. Suspected fever cases examined for malaria case

  5. Confirmed case PF malaria cases

  6. Confirmed case PV malaria cases

  7. Inpatient case due to malaria

  8. Inpatient death due to malaria

  9. Clinical malaria case

2.6. Data Collection Tools and Procedures

Five-year secondary data were obtained from Ethiopian Public Health Institute (EPHI) PHEM weekly surveillance data of 2016-2019. Variables such as zones, woreda, clinical and confirmed, inpatient, outpatient, PF and PV, malaria suspected cases, and malaria deaths were included in the database.

2.7. Data Processing and Analysis

All data were checked for completeness and cleaned for any inconsistencies to analyse. The data were entered and analysed with Microsoft Office Excel 2010. Descriptive statistics were used to show the trends of malaria transmission in terms of seasons, years, and species of malaria parasite. The analysed data were presented using tables and figures.

2.8. Data Quality Control

The collected data were checked for completeness, accuracy, clarity, and consistency throughout the data collection period to maintain the quality of data.

2.9. Ethical Considerations

Ethical clearance was secured by writing a formal letter from St. Paul's Hospital Millennium Medical College (SPHMMC) to Ethiopian Public Health Institute (EPHI) and then submitted to Public Health Emergency Management (PHEM) surveillance team. Official permission was obtained from concerned authorities of the health office. The surveillance officers and other health professionals were informed about the objective and purpose of the surveillance data analysis to cooperate with the data analyser throughout data collection and analysis. All methods were performed according to the national and international public health research guidelines and regulations.

2.10. Operational Definitions

  1. Suspected malaria case: clinical diagnosis of malaria is made in a patient who has fever or history of fever in the last 48 hours and lives in malaria-endemic areas or has a history of travel within the last 30 days to malaria-endemic areas

  2. Confirmed malaria case: a suspected case of malaria in which malaria parasites have been verified by microscopy or RDT (rapid diagnostic test)

  3. Annual parasite incidence: total number of positive slides for malaria parasite in a year 1,000/population at risk

  4. Malaria outbreaks: crossing the norm line or doubling the number of malaria cases compared to the prior year of reported WHO epidemic week

  5. Slide positivity rate/SPR: the number of laboratory-confirmed malaria case per 100 cases examined cases

3. Results

The Oromia Regional State five-year (2016-2020) malaria surveillance data were systematically analysed and verified. It was indicated that the total number of 5,843,373 suspected malaria cases was reported in the region from January 2016 to December 2020. Among the reported cases, 727,738 (clinically confirmed cases: 15,655, 2.2%, and parasitological confirmed cases: 712,083, 97.8%). Malaria detection rate from total suspected fever examined by RDT or microscopy and clinical case was 12% (712,083/5,843,373). During the study period (2016-2020), API was decreased by 5.3 per 1,000, and 3.8 per 1,000 and 2.4 per 1,000 during 2016 and 2018, respectively. Conversely, it showed an increment during 2019 by 4 and slight decrement by 3.7 in the year 2020. Among the parasitological confirmed cases, PF constitutes 68.2% (485,350/712,083) while the rest 31.8 (226,733/712,083) were covered by PV (Table 1 and Figure 2).

Table 1.

Last five years summarized malaria reported data from January 2016 to December 2020 of Oromia Regional State, Ethiopia.

Years Total population (population at risk) Total malaria suspected fever examined Total malaria parasitological confirmed and clinical (that is, both PF and PV) Total positive malaria by RDT or microscopy outpatient cases
PF PV
2016 34,895,497 1,252,144 196,451 116,740 70,919
2017 35,856,743 1,152,288 140,526 90,045 47,196
2018 36,839,051 1,099,258 92,129 60,979 30,325
2019 37,831,920 1,244,753 151,319 111,607 38,308
2020 38,865,436 1,094,930 147,313 105,979 39,985
Grand total 5,843,373 727,738 485,350 226,733

Figure 2.

Figure 2

Trends of API from January 2016 to December 2020, Oromia Regional State, Ethiopia.

3.1. Description of Malaria Morbidity and Mortality by Time

From the total cases of malaria reported during study period, those cases confirmed by microscopy or RDT were increasing from 95.5% in 2016 to 97.6% in 2017 and then slightly constant from 2019 to 2020 by 99% (Figure 3).

Figure 3.

Figure 3

Trends of confirmed malaria cases in percentage from 2016 to 2020, Oromia Regional State, Ethiopia.

3.2. Trends of Malaria Case by Species

Regarding the identified plasmodium species, both species of plasmodium were reported in each year, with PF being the predominant species in the study area. From the total of 712,083 outpatient confirmed cases reported during the five years (2016-2020), 68.2% (485,350) of the case were due to PF, and the rest 22,673 (31.8%) were due to PV. PF and PV were the only species in the study area, where PF accounted for 68.2% of the overall incidence, followed by PV constituting 31.8%. The incidence of PF cases was decreasing beginning from 2016 to 2018 by 3.3 per 1,000, 2.5 per 1,000, and 1.7 per 1,000 persons and by the year 2019 shows a slight increment by 3 per 1,000, and by the year 2020, it shows a slight decrement 2.7 per 1,000 persons, respectively. The incidence of PV was 2 per 1,000, 1.3 per 1,000, and 0.8 per 1,000 persons in 2016-2018, and from 2019 to 2020, the case showed relatively constant by 1 per 1,000 persons. In the past five-year trend, PF was more dominant over PV (Figure 4).

Figure 4.

Figure 4

Trends of positive malaria cases with species from 2016 to 2020, Oromia, Ethiopia.

Even though malaria case occurred in all seasons, the incidence had fluctuating trend across four seasons over the last five years. The highest malaria cases were observed during two seasons: the first one was in spring by 249,902 (35%) and the second one was in summer by 205,477 (28.8%). On the other hand, the lowest cases were observed during winter by 125,001 (17.5%). As far as the species are considered, higher number of cases of PF and PV was observed during spring (177,787 (36.6%) and 72,115 (30.1%)) and summer (142,845 (29.7%) and 62,632 (27.6%)), respectively. However, the minimum numbers of PF (78,424 (16%)) in spring and slightly decrement of PV cases by 45,409 (20.1%) were observed during autumn (Figure 5).

Figure 5.

Figure 5

The distribution of PF and PV species in different seasons from 2016 to 2020, Oromia Regional State, Ethiopia.

The peak weekly incidence rate in the past five years was observed on week 41 of 2020 with 166 cases per 100,000 population, and the lowest weekly incidence rate was reached on week 5 of 2018 with 19 cases per 100,000 population (Figure 6).

Figure 6.

Figure 6

Trends of malaria in WHO epidemic weeks from January 2016 to December 2020, Oromia Regional State, Ethiopia.

From a total of 727,738 suspected fever cases examined by RDT or microscopy, 712,083 patients were positive for plasmodium species from January 2016 to December 2020, and then, there was an average malaria slide positivity rate (SPR) of 96%. Malaria SPR was increased from 2016 to 2018 by 96%, 98%, and 99%, respectively, and kept constant in 2019 and 2020 by 99% (Figure 7).

Figure 7.

Figure 7

Trends of malaria SPR from January 2016 to December 2020, Oromia Regional State, Ethiopia.

3.3. Malaria Morbidity and Mortality by Place

PF was the most commonly reported species accounted for 485,350 (68%) of the cases while PV was reported among 226,733 (32%) of the positive results. Among all zones and towns of Oromia Region, PF is the highest in magnitude in 19 zones and towns and PV is highest in 18 zones and towns of Oromia Region. The magnitude of the species was different among zones and towns of the region. Malaria cases were less common in 8 towns among 18 of them included in the study (Table 2).

Table 2.

Malaria cases distribution by species by from January 2016 to December 2020 in zones and towns of Oromia Regional State, Ethiopia.

S. no Lists of zones and towns in the region Total parasitological confirmed case Total five years of PF Total five years of PV
Frequency (N) Percentage (%) Frequency (N) Percentage (%)
1 Adama special town 5,545 2,167 39 3,378 61
2 Ambo town 154 60 39 94 61
3 Arsi 20,642 13,070 63 7,572 37
4 Asella town 425 86 20 339 80
5 Bale 2,086 1,794 86 292 14
6 Bishoftu town 2,916 822 28 2,094 72
7 Borena 36,336 28,813 79 7,523 21
8 Buno Bedele 14,971 11,998 80 2,973 20
9 Burayu town 279 70 25 209 75
10 Dukem town 930 384 41 546 59
11 East Hararghe 41,213 36,214 88 4,999 12
12 East Shoa 98,223 59,751 61 38,472 39
13 East Wollega 51,698 39,597 77 12,101 23
14 Finfine Zuria 3,545 1,872 53 1,673 47
15 Gelan town 83 18 22 65 78
16 Guji 29,240 21,196 72 8,044 28
17 Holeta town 106 42 40 64 60
18 Horro Guduru Wollega 33,591 21,386 64 12,205 36
19 Ilu Aba Bora 19,521 12,842 66 6,679 34
20 Jimma 32,566 21,364 66 11,202 34
21 Jimma special town 4,785 1,189 25 3,596 75
22 Legetafo Legedadi town 156 54 35 102 65
23 Modjo town 1,514 663 44 851 56
24 Nekemte town 2,234 989 44 1,245 56
25 North Shoa 11,511 7,841 68 3,670 32
26 Kellem Wollega 44,744 30,125 67 14,619 33
27 Robe town 1 1 100 0 0
28 Sebeta town 1,605 372 23 1,233 77
29 Shashamane town 10,480 3,308 32 7,172 68
30 Southwest Shoa 22,799 10,608 47 12,191 53
31 Sululta town 66 16 24 50 76
32 West Arsi 19,023 10,044 53 8,979 47
33 West Guji 58,376 40,653 70 17,723 30
34 West Hararghe 9,110 8,032 88 1,078 12
35 West Shoa 44,946 26,796 60 18,150 40
36 West Wollega 83,646 70,668 84 12,978 16
37 Waliso town 3,017 445 15 2,572 85
Grand total 712,083 485,350 68 226,733 32

East Shoa recorded the highest total confirmed malaria case with 98,223; West Wollega, West Guji, East Wollega, West Shoa, Kellem Wollega, East Hararghe, Borena, Horro Guduru Wollega, and Jimma are recorded to have the respective rank next to East Shoa (Figure 8).

Figure 8.

Figure 8

Top ten zones of Oromia Regional State by total confirmed malaria cases from January 2016 to December 2020, Ethiopia.

More malaria deaths were observed by the analysis of past five years in Oromia Regional State. West Arsi, West Wollega, West Hararghe, and Kellem Wollega Zones had more number of deaths, respectively, than the other zones (Table 3).

Table 3.

Total malaria deaths by zones and towns of Oromia Regional State from January 2016 to December 2020, Ethiopia.

Zone and towns Total number of malaria death within the last five years (2016-2020)
West Arsi 20
West Wollega 13
West Hararghe 9
Kellem Wollega 7
Horro Guduru Wollega 4
Ilu Aba Bora 4
West Guji 3
Finfine Zuria 1
East Wollega 1
West Shoa 1
Other zones or towns in Oromia Region 0
Grand total 63

A total of 5,180 malaria inpatient cases and 63 deaths were reported for the last five years from January 2016 to December 2020. The case fatality rate (CFR) was high in 2018 with 5.9%. CFR showed consistent increment from 2016 to 2018, by 0.4%, 0.8%, and 5.9%, respectively. It was 1.2% and 1.6% during 2019 and 2020, respectively (Figure 9).

Figure 9.

Figure 9

Trends of malaria CFR in Oromia Regional State from 2016 to 2020, Ethiopia.

4. Discussion

The present study attempted to assess the trend of malaria incidence in Oromia Regional State from January 2016 to December 2020, Ethiopia. According to the last five years of malaria surveillance data of Oromia Regional State, a total of malaria cases by Zone indicated that high number of cases was found in East Shoa, West Wollega, West Guji, East Wollega, Kellem Wollega, East Hararghe, Borena, Horro Guduru Wollega, and Jimma. Besides, more malaria deaths were observed in West Arsi, West Wollega, West Hararghe, Kellem Wollega, Horro Guduru Wollega, Ilu Aba Bora, West Guji, Finfinne Zuria, East Wollega, and West Shoa, respectively. Malaria cases were less common in this study. This may be due to geographical locations of the towns, limited number of breeding sites, having adequate knowledge of malaria, improved housing conditions, and socioeconomic conditions.

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 spring (September-November). In this assessment, a total of 727,738 confirmed and clinical malaria cases were reported within the last five-year period from January 2016 to December 2020 with a mean annual occurrence of 145,548 cases. It could be an important indicator for existence of malaria burden in the study area, which seems to need due attention towards malaria intervention during this critical period of the national striving towards malaria elimination in the year 2030 [6].

The general declined number of clinical malaria cases was seen in the study (2.15%). The same study conducted in Azebo in northern Ethiopia from 2011 to 2016 indicated that the number of clinical malaria cases declined [7]. Another study done in Oromia Regional State in Batu town from 2012 to 2017 indicated that the number of clinical cases declined [8]. This may be due to the improved provision of diagnostic facilities like RDT and diagnostic microscope for health facilities.

PF and PV were the dominant cause of malaria in Oromia Regional State from 2016 to 2020, accounting for 68.2% and 31.8%, respectively. PF is the most prevalent malaria parasite in the WHO African Region, accounting for 99.7% of the estimated malaria cases in 2018, as well as in the WHO Southeast Asian Region (50%), the WHO Eastern Mediterranean Region (71%), and the WHO Western Pacific Region (65%) [5]. This assessment was in line with the study conducted in Ethiopia during 2016, which revealed that PF is the leading cause of malaria in Ethiopia by 60% while PV causes 40% of malaria in Ethiopia [9]. A five-year trend analysis of malaria prevalence in Dembecha Health Center, West Gojjam zone, northwest Ethiopia 2016, indicated the same condition for the causative agents of malaria which is PF causing about 68.2% and PV causing 26.3% [8].

Unlike our study result showing a difference on proportions of the species compared to other studies, “Malaria epidemiology and interventions in Ethiopia from 2001 to 2016” shows that PF and PV coexist, accounting for 60 and 40% of all malaria cases, respectively [10]. In another study done in “Oromia Regional State, in Adama City,” out of the 6862 malaria cases reported from OPD data from 2013/14 to 2017/18 in retrospective study, 61% was PV and 39% was PF [11].

In this assessment, malaria cases were reported in all the four seasons of Ethiopia. The peak of malaria incidence occurs during spring (September, October, and November), and the second peak of malaria incidence was observed during summer (June, July, and August). This finding was in line with the studies conducted in Bale zone, North West Tigray, East Wollega zone, and Wolkite health center [6, 8, 12, 13].

API was decreased by 5.3 per 1,000, 3.8 per 1,000, and 2.4 per 1,000 during 2016 and 2018, respectively. Conversely, it showed an increment during 2019 by 4 and slight decrement by 3.7 in the year 2020 per 1,000 population, respectively. In 2020, the FMOH updated the country's malaria risk strata based upon malaria API; the area with malaria transmission risk by ≤5 cases/1,000 population/year is classified as very low API, so Oromia Regional State is categorized under low-risk classification according to FMOH [3]. Proportion of parasitological confirmation treatment rate sharply increases from 95.5% to 99% during the last five years (2016-2020), respectively. Unlikely, the clinical malaria treatment rate decreases in the same study year from 4.5% to 0.99%. This retrospective study was unlike with a five-year trend analysis of malaria prevalence in Mankush Health Center, Guba district, Benishangul-Gumuz Regional State, and western Ethiopia from 2014 to 2018, which shows dramatic decrement of parasitological confirmation treatment rate from 85% to 51% [14]. This controversial issue might be due to improper supply of diagnostic materials and lack of well-trained health professionals on the diagnostic materials.

A total of 5,180 malaria inpatient cases and 63 deaths were reported for the last five years (January 2016-December 2020). The CFR in the same period was fluctuating. It was high in 2018 with 5.9%. CFR showed consistent increment from 2016 to 2018, by 0.4%, 0.8%, and 5.9%, respectively. It was 1.2% and 1.6% during 2019 and 2020, respectively. This was in agreement with the study done in Bale zone from 2010 to 2017 which also supports our findings describing that the annual number of malaria death is fluctuating by 0%, 1%, and 2% in 2010, 2011, and 2012, respectively, and 0% from 2013 to 2016 and 6% in 2017 [15].

4.1. Limitations of the Study

The data we analysed lacks important personal variables such as age, sex, and pregnancy status of females; due to this fact, it is difficult to analyse the impact of malaria by age and sex.

5. Conclusion and Recommendation

5.1. Conclusion

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 peak of malaria cases was observed during spring (September-November). The highest cases were seen in East Shoa, West Wollega, West Guji, East Wollega, Kellem Wollega, East Hararghe, Borena, Horro Guduru Wollega, and Jimma. Malaria-related death happened within the study period in the following zones of Oromia Regional State: West Arsi, West Wollega, West Hararghe, Kellem Wollega, Horro Guduru Wollega, Ilu Aba Bora, West Guji, Finfinne Zuria, East Wollega, and West Shoa. Malaria is an important public health problem in the study area, with a predominance of PF and PV infection. It could be an indicator for existence of malaria burden in the study area, which seems to need due attention towards malaria intervention during this critical period of the national striving towards malaria elimination in the year 2030.

5.2. Recommendation

Depending on our assessment results, we would like to forward the following recommendations to EPHI, Oromia Regional Health Bureau (ORHB), SPMMC, and other concerned bodies or stakeholders:

  • (i)

    Strong emphasis should be given to the analysis of malaria surveillance and use for decision-making at country level as well as regional level, with an effort to avert higher cases of malaria in the study area; performance plans and achievements should be regularly and strictly reviewed and evaluated at each level

  • (ii)

    Zones with the highest cases like East Shoa, West Wollega, West Guji, East Wollega, Kellem Wollega, East Hararghe, Borena, Horro Guduru Wollega, and Jimma should be given special attention

  • (iii)
    Zones with malaria-related deaths like West Arsi, West Wollega, West Hararghe, Kellem Wollega, Horro Guduru Wollega, Ilu Aba Bora, West Guji, Finfinne Zuria, East Wollega, and West Shoa require special intervention
    1. We recommend the zonal and woreda health offices, health workers, health extension workers, and the community to strength early detection and treatment of malaria cases at all level to decrease malaria inpatient and CFR which is part of strengthening surveillance data analysis
    2. The regional health bureau and the district health office should plan to do further study to know the cause of high incidence of PF malaria species, malaria inpatient, and malaria CFR for prevention and control of malaria to come to elimination
    3. It is better if personal variables such as age, sex, and pregnancy are incorporated in PHEM reporting format for detailed analysis of the impact of malaria on personal characteristics and to identify the risk groups
    4. The PHEM officers at district and health facility level should strengthen documentation and handling of malaria data by species in all kebele of the district and analyse the data and alert the community before occurrence of outbreak during pick transition seasons

Acknowledgments

We are grateful to academicians and experts from EPHI and St. Paul's Hospital Millennium Medical College Faculty of Public Health for their valuable contribution during the assessment.

Acronyms

API:

Annual parasite incidence

CFR:

Case fatality rate

CSA:

Central Statistical Agency

EPHI:

Ethiopian Public Health Institute

FMOH:

Federal Ministry of Health

ORHB:

Oromia Regional Health Bureau

PF:

Plasmodium falciparum

PHEM:

Public Health Emergency Management

PV:

Plasmodium vivax

RDT:

Rapid diagnostic test

SPMMC:

Saint Paul's Millennium Medical College

SPR:

Slide positivity rate

WHO:

World Health Organization.

Data Availability

The finding of this study was generated from the data collected and analysed based on the stated methods and materials. The original data supporting this finding are available from the corresponding author on reasonable request.

Ethical Approval

Ethical clearance was secured by writing a formal letter from St. Paul's Hospital Millennium Medical College (SPHMMC) to Ethiopian Public Health Institute (EPHI) and then submitted to Public Health Emergency Management (PHEM) surveillance team. Official permission was obtained from concerned authorities of the health office. The surveillance officers and other health professionals were informed about the objective and purpose of the surveillance data analysis to cooperate with the data analyser throughout the data collection and analysis. All methods were performed according to the national and international public health research guidelines and regulations.

Disclosure

A preprint has previously been published (Olani et al., August 13, 2021).

Conflicts of Interest

The authors declare that they have no competing interests.

Authors' Contributions

ZO participated in the design of the study, performed the data collection and the statistical analysis, and served as the corresponding author of the manuscript. SS, ZK, and HB supervised the study, ensured quality of the data, and assisted in the analysis and interpretation of the data. All authors read and approved the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The finding of this study was generated from the data collected and analysed based on the stated methods and materials. The original data supporting this finding are available from the corresponding author on reasonable request.


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