In 2023, Nigeria accounted for nearly 26 percent of all malaria cases worldwide, by far the highest share of any country. The Democratic Republic of the Congo had the second-highest share of malaria cases that year with 12.6 percent, followed by Uganda with 4.8 percent. Malaria is an infectious disease spread by female mosquitoes. Symptoms include fever, fatigue, vomiting, and headache and if left untreated the disease may lead to death. The region most impacted by malaria In 2023, there were a total of 263,000 cases of malaria worldwide. The region of Africa accounted for 246,000 of these cases, making it by far the region most impacted by this deadly disease. In comparison, Southeast Asia reported four thousand malaria cases in 2023, while the Americas had just 548. However, incidence rates of malaria have decreased around the world over the past couple decades. In Africa, the incidence rate of malaria decreased from 369 per 1,000 at risk in the year 2000 to 223 per 1,000 at risk in 2022. Worldwide, the incidence rate of malaria decreased from 79 to 60 per 1,000 at risk during this period. How many people die from malaria each year? Although rates of malaria have decreased around the world, hundreds of thousands of people still die from malaria each year, with the majority of these deaths in Africa. In 2023, around 597,000 people died from malaria worldwide, with 569,000 of these deaths occurring in Africa. However, death rates from malaria have decreased in Africa, with a rate of 62.5 per 100,000 at risk in the year 2015 compared to a rate of 52.4 per 100,000 at risk in 2023. In 2023, Nigeria accounted for around 31 percent of all malaria deaths, while 11 percent of such deaths were in the Democratic Republic of the Congo.

The underlying dataset for this landcover product is the IGBP layer found within the MODIS annual landcover product (MCD12Q1). This data was converted from its categorical format, which has a ≈500 meter resolution, to a fractional product indicating the integer percentage (0-100) of the output pixel covered by each of the 17 landcover classes (1 per band). This dataset was produced by Harry Gibson and Daniel Weiss of the Malaria Atlas Project (Big Data Institute, University of Oxford, United Kingdom, https://malariaatlas.org/).

This map service contains the datasets produced and published in the paper "A new world malaria map: Plasmodium falciparum endemicity in 2010" (see credits) which map Plasmodium falciparum malaria for the world in 2010.Please note that for Africa, the PfPR data shown here have been superseded by the 2015 paper which models temporally-varying PfPR across Africa - see the MAP website for further details.

This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometre or a majority of built-up land cover types coincident with a population centre of at least 50,000 inhabitants. This map was produced through a collaboration between MAP (University of Oxford), Google, the European Union Joint Research Centre (JRC), and the University of Twente, Netherlands.The underlying datasets used to produce the map include roads (comprising the first ever global-scale use of Open Street Map and Google roads datasets), railways, rivers, lakes, oceans, topographic conditions (slope and elevation), landcover types, and national borders. These datasets were each allocated a speed or speeds of travel in terms of time to cross each pixel of that type. The datasets were then combined to produce a "friction surface"; a map where every pixel is allocated a nominal overall speed of travel based on the types occurring within that pixel. Least-cost-path algorithms (running in Google Earth Engine and, for high-latitude areas, in R) were used in conjunction with this friction surface to calculate the time of travel from all locations to the nearest (in time) city. The cities dataset used is the high-density-cover product created by the Global Human Settlement Project. Each pixel in the resultant accessibility map thus represents the modelled shortest time from that location to a city. Authors: D.J. Weiss, A. Nelson, H.S. Gibson, W. Temperley, S. Peedell, A. Lieber, M. Hancher, E. Poyart, S. Belchior, N. Fullman, B. Mappin, U. Dalrymple, J. Rozier, T.C.D. Lucas, R.E. Howes, L.S. Tusting, S.Y. Kang, E. Cameron, D. Bisanzio, K.E. Battle, S. Bhatt, and P.W. Gething. A global map of travel time to cities to assess inequalities in accessibility in 2015. (2018). Nature. doi:10.1038/nature25181

Processing notes: Data were processed from numerous sources including OpenStreetMap, Google Maps, Land Cover mapping, and others, to generate a global friction surface of average land-based travel speed. This accessibility surface was then derived from that friction surface via a least-cost-path algorithm finding at each location the closest point from global databases of population centres and densely-populated areas. Please see the associated publication for full details of the processing.

Source: https://map.ox.ac.uk/research-project/accessibility_to_cities/

BackgroundThe efficient allocation of financial resources for malaria control using appropriate combinations of interventions requires accurate information on the geographic distribution of malaria risk. An evidence-based description of the global range of Plasmodium falciparum malaria and its endemicity has not been assembled in almost 40 y. This paper aims to define the global geographic distribution of P. falciparum malaria in 2007 and to provide a preliminary description of its transmission intensity within this range. Methods and FindingsThe global spatial distribution of P. falciparum malaria was generated using nationally reported case-incidence data, medical intelligence, and biological rules of transmission exclusion, using temperature and aridity limits informed by the bionomics of dominant Anopheles vector species. A total of 4,278 spatially unique cross-sectional survey estimates of P. falciparum parasite rates were assembled. Extractions from a population surface showed that 2.37 billion people lived in areas at any risk of P. falciparum transmission in 2007. Globally, almost 1 billion people lived under unstable, or extremely low, malaria risk. Almost all P. falciparum parasite rates above 50% were reported in Africa in a latitude band consistent with the distribution of Anopheles gambiae s.s. Conditions of low parasite prevalence were also common in Africa, however. Outside of Africa, P. falciparum malaria prevalence is largely hypoendemic (less than 10%), with the median below 5% in the areas surveyed. ConclusionsThis new map is a plausible representation of the current extent of P. falciparum risk and the most contemporary summary of the population at risk of P. falciparum malaria within these limits. For 1 billion people at risk of unstable malaria transmission, elimination is epidemiologically feasible, and large areas of Africa are more amenable to control than appreciated previously. The release of this information in the public domain will help focus future resources for P. falciparum malaria control and elimination.

In 2023, around four percent of the population in Africa who were at risk of malaria were protected by indoor residual spraying (IRS). This statistic shows the percentage of the population worldwide at risk of malaria who were protected by indoor residual spraying (IRS) as of 2023, by region.

Incidence of malaria (per 1,000 population at risk) in World was reported at 59.06 in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. World - Incidence of malaria (per 1,000 population at risk) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Central African Republic CF: Incidence of Malaria: per 1,000 Population at Risk data was reported at 305.540 Number in 2023. This records a decrease from the previous number of 306.370 Number for 2022. Central African Republic CF: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 387.165 Number from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 451.060 Number in 2005 and a record low of 305.540 Number in 2023. Central African Republic CF: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Central African Republic – Table CF.World Bank.WDI: Social: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].

In 2023, the Western Pacific region reported an estimated incidence rate of malaria of about two per 1,000 at risk. This statistic shows the estimated malaria incidence rate per 1,000 at risk of malaria worldwide in 2000 and 2023, by WHO region.

This layer contains the data of state level India Malaria (2015-2020) and contains information about Malaria cases in 2015, Malaria cases in 2016, Malaria deaths in 2016, Malaria cases in 2017 etc.About MalariaMalaria is a potentially life-threatening disease caused by parasites (Plasmodium vivax, Plasmodium falciparum, Plasmodium malaria and Plasmodium ovale) that are transmitted through the bite of infected female Anopheles mosquitoes.Symptoms of Malaria It includes fever and flu-like illness, including shaking chills, headache, muscle aches, and tiredness. Nausea, vomiting, and diarrhea may also occur. Malaria may cause anemia and jaundice (yellow coloring of the skin and eyes) because of the loss of red blood cells. If not promptly treated, the infection can become severe and may cause kidney failure, seizures, mental confusion, coma, and death.Malaria in IndiaAccording to the World malaria report 2019, India represents 3% of the global malaria burden. Despite being the highest malaria burden country of the SEA region, India showed a reduction in reported malaria cases of 49% and deaths of 50.5% compared with 2017.India has a vision of a malaria free country by 2027 and elimination by 2030.The attributes are given below for this web map:Malaria Cases in 2015Malaria Cases in 2016Malaria Deaths in 2016Malaria Cases in 2017Malaria Deaths in 2017Malaria Cases in 2018Malaria Deaths in 2018Malaria Cases in 2019Malaria Deaths in 2019Malaria Cases in 2020Malaria Deaths in 2020This web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

Malaria Diagnostics Market Outlook

According to our latest research, the global malaria diagnostics market size reached USD 920 million in 2024, supported by robust advancements in diagnostic technologies and increased funding for malaria control programs. The market is set to expand at a CAGR of 6.8% from 2025 to 2033, with the total market value forecasted to reach USD 1.74 billion by 2033. This growth is primarily driven by the rising incidence of malaria in endemic regions, increasing government and non-governmental initiatives for disease management, and the continuous evolution of diagnostic methods that offer higher sensitivity and specificity.

One of the primary growth factors for the malaria diagnostics market is the escalating prevalence of malaria in tropical and subtropical regions, particularly in sub-Saharan Africa and Southeast Asia. These regions account for the majority of the global malaria burden, prompting governments, non-governmental organizations, and international health agencies to invest heavily in malaria control and elimination programs. The World Health Organization (WHO) and other global health bodies have set ambitious targets for malaria reduction, which has translated into increased funding for the development and deployment of advanced diagnostic tools. The growing awareness regarding early and accurate diagnosis as a critical step in effective malaria management further fuels the demand for innovative diagnostic solutions.

Technological advancements play a pivotal role in driving the malaria diagnostics market forward. The shift from conventional microscopy to rapid diagnostic tests (RDTs) and molecular diagnostic techniques has revolutionized malaria detection, especially in resource-limited settings. RDTs offer quick results and do not require sophisticated laboratory infrastructure, making them ideal for remote and rural areas where malaria is most prevalent. Meanwhile, molecular diagnostics, including PCR-based methods, provide high sensitivity and specificity, enabling the detection of low-level parasitemia and mixed infections. These technological innovations not only enhance diagnostic accuracy but also support large-scale screening and surveillance programs, contributing significantly to market growth.

Another critical growth factor is the increasing collaboration between public and private sector stakeholders to combat malaria. Partnerships between governments, research institutions, diagnostic companies, and funding agencies have led to the development and commercialization of new diagnostic products tailored to the needs of endemic regions. These collaborations have also facilitated the implementation of quality assurance programs, capacity-building initiatives, and training for healthcare workers, ensuring the effective utilization of diagnostic tools. Furthermore, the growing emphasis on point-of-care diagnostics and the integration of digital health technologies are expected to create new avenues for market expansion in the coming years.

From a regional perspective, the Asia Pacific and sub-Saharan Africa dominate the malaria diagnostics market due to their high disease burden and ongoing efforts to strengthen healthcare infrastructure. North America and Europe, while having a lower incidence of malaria, contribute to market growth through research and development activities and the adoption of advanced diagnostic technologies. Latin America and the Middle East & Africa regions are also witnessing increased investments in malaria diagnostics, driven by rising awareness and government-led initiatives. The market outlook remains highly promising, with regional disparities in disease prevalence and healthcare access shaping the demand for diverse diagnostic solutions.

Product Type Analysis

The malaria diagnostics market by product type is segmented into rapid diagnostic tests (RDTs), microscopy, molecular diagnostics, serology, and others. Among these, rapid diagnostic tests have emerged as the leading product s

Costa Rica CR: Incidence of Malaria: per 1,000 Population at Risk data was reported at 0.300 Number in 2023. This records an increase from the previous number of 0.230 Number for 2022. Costa Rica CR: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 0.140 Number from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 2.370 Number in 2005 and a record low of 0.000 Number in 2016. Costa Rica CR: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Costa Rica – Table CR.World Bank.WDI: Social: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].

In 2022, approximately 354 among one thousand inhabitants in Mali developed malaria. This statistic shows the 20 countries with the highest number of new malaria cases per 1,000 inhabitants at risk in 2022.

Collection and species identification of various malarial mosquito specimens for generating a global map of the dominant vector species of malaria. (MapVEu VBP0000027)

Cameroon CM: Incidence of Malaria: per 1,000 Population at Risk data was reported at 258.810 Number in 2023. This records a decrease from the previous number of 262.960 Number for 2022. Cameroon CM: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 274.040 Number from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 436.300 Number in 2003 and a record low of 242.460 Number in 2019. Cameroon CM: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cameroon – Table CM.World Bank.WDI: Social: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].

Contribution and Permutation importance of variables in Anopheles sinensis model.

Egypt EG: Incidence of Malaria: per 1,000 Population at Risk data was reported at 0.000 Number in 2023. This stayed constant from the previous number of 0.000 Number for 2022. Egypt EG: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 0.000 Number from Dec 2000 (Median) to 2023, with 24 observations. The data reached an all-time high of 0.000 Number in 2023 and a record low of 0.000 Number in 2023. Egypt EG: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Social: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].

Syria SY: Incidence of Malaria: per 1,000 Population at Risk data was reported at 0.000 Number in 2022. This stayed constant from the previous number of 0.000 Number for 2021. Syria SY: Incidence of Malaria: per 1,000 Population at Risk data is updated yearly, averaging 0.000 Number from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 0.000 Number in 2022 and a record low of 0.000 Number in 2022. Syria SY: Incidence of Malaria: per 1,000 Population at Risk data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Syrian Arab Republic – Table SY.World Bank.WDI: Social: Health Statistics. Incidence of malaria is the number of new cases of malaria in a year per 1,000 population at risk.;World Health Organization, World malaria report and Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/ghodata/).;Weighted average;This is the Sustainable Development Goal indicator 3.3.3[https://unstats.un.org/sdgs/metadata/].

Incidence of malaria (per 1,000 population at risk) in Zambia was reported at 177 in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Zambia - Incidence of malaria (per 1,000 population at risk) - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

Data Availability: Data on global final consumption and total output were taken from the Eora MRIO database that consists of a multi-region input-output table (MRIO) model providing a time series of high-resolution IO tables with matching environmental and social satellite accounts for 190 countries (https://worldmrio.com). In the data file which we originally provided on Zenodo, there were duplicated rows for the years 2001, 2005, and 2014 which were weighted more heavily, but these rows were hidden. For the sake of transparency, we have also updated the dataset with the rows unhidden.