Literature DB >> 28668230

Global funding trends for malaria research in sub-Saharan Africa: a systematic analysis.

Michael G Head1, Sian Goss2, Yann Gelister3, Victor Alegana4, Rebecca J Brown3, Stuart C Clarke5, Joseph R A Fitchett6, Rifat Atun6, J Anthony G Scott7, Marie-Louise Newell3, Sabu S Padmadas8, Andrew J Tatem9.   

Abstract

BACKGROUND: Total domestic and international funding for malaria is inadequate to achieve WHO global targets in burden reduction by 2030. We describe the trends of investments in malaria-related research in sub-Saharan Africa and compare investment with national disease burden to identify areas of funding strength and potentially neglected populations. We also considered funding for malaria control.
METHODS: Research funding data related to malaria for 1997-2013 were sourced from existing datasets, from 13 major public and philanthropic global health funders, and from funding databases. Investments (reported in US$) were considered by geographical area and compared with data on parasite prevalence and populations at risk in sub-Saharan Africa. 45 sub-Saharan African countries were ranked by amount of research funding received.
FINDINGS: We found 333 research awards totalling US$814·4 million. Public health research covered $308·1 million (37·8%) and clinical trials covered $275·2 million (33·8%). Tanzania ($107·8 million [13·2%]), Uganda ($97·9 million [12·0%]), and Kenya ($92·9 million [11·4%]) received the highest sum of research investment and the most research awards. Malawi, Tanzania, and Uganda remained highly ranked after adjusting for national gross domestic product. Countries with a reasonably high malaria burden that received little research investment or funding for malaria control included Central African Republic (ranked 40th) and Sierra Leone (ranked 35th). Congo (Brazzaville) and Guinea had reasonably high malaria mortality, yet Congo (Brazzaville) ranked 38th and Guinea ranked 25th, thus receiving little investment.
INTERPRETATION: Some countries receive reasonably large investments in malaria-related research (Tanzania, Kenya, Uganda), whereas others receive little or no investments (Sierra Leone, Central African Republic). Research investments are typically highest in countries where funding for malaria control is also high. Investment strategies should consider more equitable research and operational investments across countries to include currently neglected and susceptible populations. FUNDING: Royal Society of Tropical Medicine and Hygiene and Bill & Melinda Gates Foundation.
Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.

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Year:  2017        PMID: 28668230      PMCID: PMC5567191          DOI: 10.1016/S2214-109X(17)30245-0

Source DB:  PubMed          Journal:  Lancet Glob Health        ISSN: 2214-109X            Impact factor:   26.763


Introduction

The current total domestic and international investments in malaria are considered grossly inadequate to meet the annual global target for investment of US$6 billion. The 2015 Global Burden of Disease study estimated that there were 731 000 malaria-associated deaths (a decline of about 37% since 2005, along with a decline in age-standardised mortality of 43%) and 296 million positive cases (a decline of about 30% since 2005) in 2015, with a high prevalence in sub-Saharan Africa. To address this burden, malaria is the focus of large and well funded programmes from influential global health actors such as The Global Fund and the Bill & Melinda Gates Foundation, both of which have targeted malaria for elimination. An estimated US$8·9 billion was disbursed globally for malaria control and elimination programmes between 2006 and 2010, with most of this funding targeted to Africa. As well as provision of finance from The Global Fund, substantial investment came from other actors, such as the World Bank and the President's Malaria Initiative. As investment specifically focused on malaria control increases, the burden of malaria decreases, with interventions estimated to have averted 663 million clinical cases of malaria globally since 2000. Insecticide-treated nets, the most widespread intervention, were responsible for 68% of the averted cases. However, a substantial burden still remains, requiring efficient allocation of scarce financial resources to address gaps in implementation and research. The ten largest global health research funders, which include the US National Institutes of Health, the European Commission, the Wellcome Trust, and the Bill & Melinda Gates Foundation, collectively invest about $37·1 billion into research each year, and malaria is a research priority or part of a wider focus (eg, global health) for these organisations. Investments cover the full pipeline of research, from preclinical science, to clinical trial phases and product development, and on to implementation and operational research. However, few multi-funder analyses of the focus of these awards exist. Evidence before this study In July and August, 2016, we searched PubMed and the grey literature (via internet search engines and stakeholder websites, such as WHO) using the search terms “research investments”, “research funding”, “malaria investments”, “malaria funding”, and “malaria Africa” for articles written only in English. One author (MGH) also searched a personal Mendeley literature database that is built for the purpose of informing the Research Investments in Global Health (ResIn) study. Previous investment analyses include the study by Pigott and colleagues, ResIn publications, and the Policy Cures annual reports on product development research in infectious diseases. Added value of this study To the best of our knowledge, this is the first study to systematically describe the geography of public and philanthropic research funding for malaria in sub-Saharan Africa. The study combined and then re-analysed open data sources from numerous key global health investors, and categorised the awards via the classification system developed by the ResIn study. This strategy allowed us to provide a comprehensive overview of the investment landscape, with actionable data that can help inform equitable decisions around resource allocation. Implications of all the available evidence The findings show that much of the available resources are directed towards key global health hubs in sub-Saharan Africa—for example, Tanzania, Uganda, and Kenya. However, several countries, such as Chad and Central African Republic, receive little or no research and operational funding despite having high malaria-associated burdens and mortality. These countries have neglected populations, and the global health community should reconsider strategies around resource allocation to reduce inequality and improve equity. The Research Investments in Global Health study (ResIn) has analysed funding trends in infectious disease research awarded to UK institutions11, 12 and has identified Africa as being the focus of much of the UK global health research portfolio. Here, we aimed to systematically analyse investments in research related to malaria from leading international donors, in particular when the focus of the project was in sub-Saharan Africa. We also aimed to locate the site of the research at the national level, describe the geography of investment trends, and compare investments with the local prevalence of malaria caused by Plasmodium falciparum and malaria burden, as measured by the sizes of at-risk populations.

Methods

Search strategy and selection criteria

The process of collating and categorising infection-related research awards to UK institutions for this systematic analysis has been described in detail elsewhere.11, 12, 13 Briefly, we extracted award data for studies of infectious diseases from funder's websites or requested award data directly from the funder. We also searched funding databases, such as the National Research Register, owned by the UK Department of Health, and clinicaltrials.gov, for infection-related awards. Each award was individually scrutinised and categorised under a number of diseases, disease areas (eg, global health, antimicrobial resistance), and by type of science (eg, phase 1–3 clinical trials, public health research). Award types included project grants, programme grants, fellowships, and pump-priming (development grants) or pilot projects that had a clear research component to the project. We focused specifically on awards relating to malaria research in sub-Saharan Africa. We used the UK portfolio already collated by the ResIn study and further considered 28 leading funders of global health research (see appendix 1 for the full list of funders that were assessed, including those that did not have data that met the inclusion criteria). We used existing knowledge and data from the ResIn study, author knowledge, and healthresearchfunders.org to identify key funders who were likely to have provided research investment for malaria. Much of the newly collected data were sourced from the Dimensions for Funders database, UberResearch. When searching online databases for awards related to malaria, we used the search terms “malaria”, “plasmodium”, and “anopheles”. From the retrieved awards, we reviewed the title and abstract to ascertain whether the project had a focus in the 45 sub-Saharan African nations for which data were available. When information about the project was insufficient, we searched databases (including the UK Research Councils' Gateway to Research database, PubMed, and Europe PMC) for publications related to the original award and for information about the award on institutional or study-specific websites. We included awards for which the commitment to fund was dated between 1997 and 2013 (inclusive). The UK Department for International Development and the Bill & Melinda Gates Foundation fund both research and implementation activity; here, we only included the research projects. Using the malaria awards from the preexisting ResIn UK dataset as an example, we included awards of greater than $150 000 (the 10th percentile in the UK dataset). Awards solely related to preclinical science were excluded because they were unlikely to have a specific geographical focus; all other types of science along the research pipeline (from phase 1 studies through to public health and implementation research) were included.

Data analysis

We categorised the included awards as phase 1–3 trials, intervention and product development (including pharmacovigilance), public health research, or cross-disciplinary research. Public health research included epidemiology, statistics and modelling, and implementation and operational research. Cross-disciplinary research was defined as an award that clearly encompassed two types of science categories (ie, an award covering a phase 3 trial and pharmacovigilance research would be classified as cross-disciplinary). Awards were also categorised by tool or product, specifically diagnostics, vaccines, and therapeutics. Inter-author checks on categorisation yielded a fixed-marginal κ score of 0·88 (indicating a reasonably high level of agreement between authors). All awards were adjusted for 2013 inflation and, when required, were converted to US$ by use of the average exchange rate in the year of the award. South Sudan and north Sudan were unified as Sudan for most of the time period under consideration and were therefore counted together (no investments were specifically for South Sudan after their separation). Some included awards focused on malaria in multiple sites in multiple countries. Because it was not possible to establish the exact proportion of each award that was invested in or for each site, we used a pragmatic approach to divide the total award size evenly by the number of sites of focus as an approximate measure of likely allocation of resources. For example, for an award of US$1·5 million for malaria research in two sites in Kenya and one site in Tanzania, $1 million would be allocated to Kenya and $500 000 to Tanzania. Similarly, when an award had a clear focus on both malaria and other disease(s), for simplicity of analysis, the total investment was divided by the number of diseases involved. For example, a $1 million award for malaria and tuberculosis in Kenya would have resulted in $500 000 being allocated to malaria research, and the $500 000 assumed to be for tuberculosis research would have been excluded. Awards were not split when the focus was explicitly consideration of malaria as a coinfection with other diseases (the assumption being that all of the funding was for malaria-related burdens). National-level disbursements of funding for malaria control for 2006–11 were included. Data up to 2010 have been published previously, and an author (MGH) provided one further year (2011) of unpublished disaggregated information about funding for malaria control (appendix 2). Donors included were national governments, UNICEF, the Global Fund, President's Malaria Initiative, the World Bank, and the Development Assistance Committee. Levels of investment in funding for malaria control and research datasets were compared and ranked at the national level. World Bank data were used to compare 2013 national gross domestic product (GDP). Data for local prevalence of malaria caused by P falciparum were sourced from the Malaria Atlas Project, which had mapped variables including parasite prevalence and incidence of malaria between 2000 and 2015. We used age-standardised, gridded P falciparum parasite prevalence data for ages 2–10 years (PfPR2–10) at 5 km × 5 km spatial resolution. PfPR2–10 data were available for all included sub-Saharan African countries, with the exceptions of São Tomé and Príncipe and Comoros. The gridded PfPR2–10 data were summarised at the country level through integration with WorldPop gridded population data to construct population-weighted PfPR values for each country. All funding data for each country were combined, and maps were produced at the country level to display the total research investment per country between 1997 and 2013.

Role of the funding source

The funders had no role in the study design, data interpretation, or writing of the report. MGH had full access to all the data in the study and had final responsibility for the decision to submit for publication.

Results

By research investment, 333 awards met the inclusion criteria, with a total inflation-adjusted amount for research funding of US$814·4 million (table 1). The mean award size was $2 445 591 (SD 4 054 664) and the median award size was $941 808 (IQR 419 529–$2 605 340). These findings show significant skew in the data, with a small number of very large awards driving the mean higher than the median. The total annual investment for malaria in sub-Saharan Africa varied substantially in the period of 1997–2015, although with a broadly increasing temporal trend alongside observed decreases in disease burden (figure 1). 317 (95%) research awards solely focused on malaria and 16 (5%) awards considered malaria alongside other infections. A total of 285 (86%) awards had just one country of focus.
Table 1

Funding for malaria research in sub-Saharan Africa for 1997–2013 by product area and type of science

Number of awardsProportion of total awards (%)Total investment (US$)Proportion of total investment (%)Mean award size (US$)*Median award size (US$)
Product area
Diagnostics299%41 010 3865·0%14 14 151 (1 670 125)906 950 (409 574–1 430 935)
Vaccines185%64 995 8648·0%3 610 881 (3 394 021)2 909 619 (510 504–4 855 510)
Therapeutics8325%261 205 83732·1%3 147 058 (5 731 588)991 048 (326 333–3 910 552)
Type of science
Phase 1–3 clinical trials8024%275 214 43033·8%3 440 180 (4 787 761)1 317 954 (426 077–4 955 076)
Intervention and product development3511%87 580 34610·8%2 502 296 (4 186 004)999 485 (293 800–2 605 340)
Public health15346%308 076 97837·8%2 013 575 (4 053 184)666 164 (375 387–2 209 865)
Cross-disciplinary6520%143 510 17217·6%2 207 849 (2 630 770)1 071 300 (552 164–2 517 231)
Total333NA814 381 928NA2 445 591 (4 054 664)941 808 (419 529–2 605 340)

NA=not applicable.

Data are mean (SD).

Data are median (IQR).

Figure 1

Sum of annual research investment for malaria in sub-Saharan Africa (1997–2013) and mean national-level PfPR for all countries in sub-Saharan Africa (2000–15)

PfPR=Plasmodium falciparum parasite prevalence.

Sum of annual research investment for malaria in sub-Saharan Africa (1997–2013) and mean national-level PfPR for all countries in sub-Saharan Africa (2000–15) PfPR=Plasmodium falciparum parasite prevalence. Funding for malaria research in sub-Saharan Africa for 1997–2013 by product area and type of science NA=not applicable. Data are mean (SD). Data are median (IQR). By country, Tanzania, Uganda, Kenya, Malawi, and Ghana were the top five nations to receive the greatest amount of research investment, and 18 nations received greater than US$10 million of research funding (figure 2, figure 3, and table 2). Eight countries were not allocated research investments: Botswana, Cape Verde, Central African Republic, Chad, Congo (Brazzaville), Djibouti, Mauritania, and Sierra Leone.
Figure 2

Total research investment (US$ millions) for malaria sourced per country for 1997–2013

Figure 3

Sum funding for malaria research in sub-Saharan Africa, by country and funder, for 1997–2013

Other included French National Research Agency, National Science Foundation, Research Council of Norway, Swedish Research Council, Swiss National Science Foundation, US Food and Drug Administration, and Economics and Social Research Council. EDCTP=The European & Developing Countries Clinical Trials Partnership. DRC=Democratic Republic of the Congo.

Table 2

Total funding and rankings for malaria research and control investments by country

Research investment for malaria
Funding for malaria control
Combined rankings
Award numbersInvestment allocated (US$)RankingTotal funds (US$)RankingDifference between funding and research rankingsSum of funding and research rankingsOverall ranking*
Tanzania170107 769 3881749 985 3622131
Kenya14892 938 7713621 884 2553062
Uganda11597 865 1772390 362 6466483
Malawi6771 664 3304424 565 1875194
Nigeria3632 639 6649786 174 1451−8105
Ghana8362 725 6915345 841 45983136
Mozambique1916 358 72213350 860 9347−6207
Ethiopia2812 557 68517577 983 1734−13218
Zambia3427 775 65810253 054 196144249=
Madagascar2215 944 01514309 559 26210−4249=
Mali4245 135 5627175 217 82418112511
Senegal3627 509 97711218 009 2441542612
Democratic Republic of the Congo1310 930 14918331 377 6369−92713
Benin2017 095 74412203 545 6881642814=
South Africa814 896 55815275 467 51213−22814=
Burkina Faso7047 333 4486106 721 49223172916
Rwanda122 933 32324299 031 28712−123617
The Gambia6138 653 641841 275 67330223818
Cote d'Ivoire119 535 16219129 028 3002013919
Togo42 965 44923163 947 97619−44220
Zimbabwe67 726 55921114 130 4932214321
Cameroon159 133 1082099 854 4722444422
Sudan71 749 37028178 508 09317−114523
Angola1117 99336300 977 80011−254724
Guinea43 224 6822244 039 0012865025
Gabon1312 886 3191621 071 24736205226
Niger72 122 2152664 687 9082715327
Liberia1297 20533121 097 05721−125428
Burundi3982 2383167 946 38526−55729
Namibia4292 4093474 777 57825−95930
Equatorial Guinea41 908 8662734 065 8643366031=
Eritrea21 662 3422939 739 8733126031=
Guinea-Bissau52 772 8622515 118 86538136333
Somalia2604 5373226 459 5273426634
Sierra Leone003842 116 40429−96735
Swaziland21 049 5983012 763 74940107036=
Chad003837 921 95232−67036=
Congo (Brazzaville)003823 751 15335−37338
Mauritania003815 373 46737−17539
Comoros1224 619357 254 2634277740=
Central African Republic003813 812 9873917740=
São Tomé and Príncipe127 804377 929 2374147842
Djibouti00386 763 8684358143
Botswana00385 870 0214468244
Cape Verde00382 029 3014578345

Countries are ordered by their overall ranking.

Overall ranking is the sum ranking in order.

Total research investment (US$ millions) for malaria sourced per country for 1997–2013 Sum funding for malaria research in sub-Saharan Africa, by country and funder, for 1997–2013 Other included French National Research Agency, National Science Foundation, Research Council of Norway, Swedish Research Council, Swiss National Science Foundation, US Food and Drug Administration, and Economics and Social Research Council. EDCTP=The European & Developing Countries Clinical Trials Partnership. DRC=Democratic Republic of the Congo. Total funding and rankings for malaria research and control investments by country Countries are ordered by their overall ranking. Overall ranking is the sum ranking in order. By funder, the US National Institutes of Health provided the greatest investment of $292·0 million (36·4%), followed by the Bill & Melinda Gates Foundation, with a total investment of $144·1 million (17·9%); these two funders provided more than 40% of the research investments in all of the top five countries. Some nations were mostly reliant on investment from one funder—for example, the European & Developing Countries Clinical Trials Partnership provided 79% ($10·2 million) of the research investment and was the main funder in Gabon. By type of science (table 1), investment for phase 1–3 clinical trials totalled $275·2 million (33·8%) across 80 (24%) awards. Public health investments totalled $308·1 million (37·8%) across 153 (46%) awards. Cross-disciplinary research covered 65 (20%) awards and product development covered 35 (11%) awards. By product area, 83 (25%) awards were related to research in antimalarial therapeutics, with a total investment of $261·2 million (32·1%). 18 (5%) awards were related to vaccine research ($65·0 million [8·0%]), and 29 (9%) awards focused on diagnostic development ($41·0 million [5·0%]). There was no obvious association between the national population-weighted PfPR and the total research investment or funding for malaria control, by country (figure 4; appendix 1). Investments were distributed across high-burden, medium-burden, and elimination settings.
Figure 4

Comparison of 2015 population-weighed parasite prevalence and total research investment received for 1997–2013 by sub-Saharan African nation

DRC=Democratic Republic of the Congo.

Comparison of 2015 population-weighed parasite prevalence and total research investment received for 1997–2013 by sub-Saharan African nation DRC=Democratic Republic of the Congo. $8·1 billion of funding for malaria control was disbursed in the period of 2006–11 to 45 sub-Saharan African countries (table 2, appendix), with the lowest annual funding in 2006 ($585·2 million, 7·2%) and the highest annual funding in 2010 ($1·9 billion, 23·2%, appendix 2). The top five countries to receive funding in that period were Nigeria ($786·2 million, 9th in malaria research rankings), Tanzania ($750·0 million, ranked 1st in the research rankings), Kenya ($621·9 million, also ranked 3rd in the research rankings), Ethiopia ($578·0 million, ranked 17th in the research rankings), and Malawi ($424·6 million, ranked 4th in the research rankings; table 2). Ghana ranked in the top ten for both level of funding for malaria control (8th) and research investments (5th). Of the eight nations with no allocated research investment, all were ranked in the lowest third (30th or lower out of 45 countries) when considering funding for malaria control, with the exception of Sierra Leone (ranked 29th). The Gambia ranked 30th for funding for malaria control, but 8th for research investments. Most nations ranked similarly for both research investments and funding for malaria control. Combined rankings showed the top five nations to be Tanzania, Kenya, Uganda, Malawi, and Nigeria. When adjusting for GDP (appendix), the top five nations to rank in the top ten across both funding for malaria control and research investment were Malawi, Tanzania, Uganda, Kenya, and Madagascar.

Discussion

Many research investments for malaria were focused in sub-Saharan Africa. We found that the greatest investments were allocated to Tanzania, Uganda, and Kenya. Malawi, Ghana, and Nigeria also ranked highly across both research investment and funding for malaria control. Investments for research were typically highest in countries where funding for malaria control was also high (The Gambia and Nigeria being notable exceptions). Similarly, most nations receiving little or no research investment for malaria also received scarce funding for malaria control, despite typically having a reasonably high malaria-related burden of disease. About a third of research investments were related to antimalarial therapeutics. The US National Institutes of Health and the Bill & Melinda Gates Foundation provided about 60% of research funding for malaria in sub-Saharan Africa, and funding was disbursed to countries with high and low burdens of malarial disease, indicating that drivers for allocation of investments are likely to include the desire to both reduce existing high burdens and to pursue efforts towards elimination in relatively low-burden settings. There appeared to be inequalities in overall disbursement of funding for malaria research, which will probably help to accelerate elimination in some settings but might neglect other vulnerable populations in locations of high malarial burden. Investments in malaria control broadly reflected the trends in research investment. Evidence that investments in malaria research contribute to improved health outcomes is scarce, in part because of the numerous and complex variables that must be considered when assessing resource allocation. Thus, the correlation between increased research investment and decreased burden cannot in itself be considered causal. Funding for malaria control also increased between 2006 and 2011, and interventions, including bednets and therapeutics, have clearly had substantial impacts. Case studies provide qualitative evidence to justify investments in global health research, and the findings presented here lend some weight to that conclusion. To qualify and address the gaps in evidence, WHO has established the Global Observatory on Health Research and Development, and is openly seeking evidence-based contributions to assimilate existing knowledge and inform global strategies. The ResIn study is also scheduled to report findings of a global research investments analysis for all infectious diseases in 2017. Investing requires confidence on the part of the investor that they will see a return on their investment (for example, health gains from operational investments such as provision of insecticide-treated nets, or research investments that generate new knowledge or products such as vaccines and diagnostics). Therefore, particularly in environments where the logistics for research might be complex and challenging, the inclination is to fund governments and institutions with a track record of success and in locations where it is perceived that the investment will make a positive difference and where any research will be feasible. Thus, countries such as Tanzania, Uganda, and Kenya, which all have existing relatively good infrastructures for research (such as the Kenya Medical Research Institute sites in Nairobi and Kilifi), continue to receive steady sums of research investment and also benefit from relatively high levels of funding for malaria control. From these streams of funding, high-quality research that provides clarity on the research questions under investigation is likely. Conversely, funders do not have the incentive or confidence to invest in African nations such as Chad, Somalia, and the Central African Republic, which are considered politically fragile and have inadequate infrastructure and regulations surrounding business start-ups and trading. The USA and the UK are leading investors in global health and, specifically, in provision of funding for malaria, but the changeable political climates in both countries might have implications for global health investment and activity. Other factors that influence resource allocation include political and socioeconomic factors such as conflict, corruption, and crime and economic considerations. Poorer nations with weak infrastructures are less likely to reap the benefits from research investment without improvements in health systems. For example, eight of the top ten nations considered most susceptible to infectious disease outbreaks are in sub-Saharan Africa, and the three most susceptible are Somalia (ranking 34th in our investment rankings), Central African Republic (ranking 40th in our investment rankings), and Chad (ranking 36th in our investment rankings). Corruption indices rank Somalia as the worst performer, with numerous sub-Saharan African nations ranked in the lower percentiles. In a systematic analysis of the geographical distribution of global health partnerships with the 100 highest-ranked universities worldwide, Kenya, Tanzania, and Uganda had 43 partnerships. Of the 12 countries that ranked lowest in our investment rankings, only Sierra Leone, with five partnerships, and Botswana, with three partnerships, had any recorded global health partnerships. The global health partnership analysis also described areas in northern and central Africa that had either few or no partnerships with high-ranking universities, despite these areas being in great need of health care and thus surely also in particular need of investment (institutions ranked outside of the top 100 will potentially have international partnerships that were undocumented in the global health partnership analysis and might include the lower-ranked nations here). Capacity building and training initiatives, and geographical priorities set by research funders, might help incentivise leading academic institutions to develop new partnerships with sub-Saharan African countries. Our findings correspond with other analyses in showing broadly low sum investments in central Africa, with resources mostly concentrated in western and eastern Africa. High malaria mortality and low coverage (<50%) of insecticide-treated bednets are seen in lower-ranked countries in these central regions, such as Congo (Brazzaville), Guinea, and Central African Republic. The five countries ranked lowest in terms of their likelihood to meet the targets set in the health-related UN Sustainable Development Goals were Central African Republic, Somalia, South Sudan, Niger, and Chad. There are huge differences in the amount of investment each high-income nation will allocate to global health operational and research investments and so, when the amount of resource allocated to each low-income or middle-income nation is linked to the wealthier nation's historical ties, there is the potential for inequalities in resource allocation to be introduced and for health issues to be inadequately addressed. Research outputs can translate across national borders, but might not do so without appropriate consideration of the context in which research findings are used. Substantial advantages exist in investment in local research, particularly with regards to ownership of the results, trust, inter-sector sharing of expertise between researchers and policy makers, and increased contextualisation of findings. If little or no local track record in research exists, then inter-sector expertise might be less likely. Decision-makers will assess research findings by taking into account the political context, the capacity of local health systems to absorb the knowledge and put the innovation into practice, and the appropriateness of the proposed intervention. The Lancet's Commission on Global Health 2035 highlighted how low-income nations such as Chad or Somalia could experience substantial health gains with an “enhanced R&D investment scenario” deployed at a national level, alongside societal benefits. Investment in biomedical science research and development in the UK yields a 17% return to the economy, and each pound of public investment stimulates the same investment from the private sector. New investment in research and development in low-income settings could potentially be the catalyst for improved health systems and confidence in the business and academic sectors. In 2015, WHO announced a new global strategy for addressing malaria between 2016 and 2030, for which the target is to reduce the global malaria burden by 90% before 2030. Innovation and research is one of the three major pillars of that strategy. WHO estimates that additional funding of $673 million annually is needed for malaria research, a substantial increase compared with current funding, and that $6·4 billion is needed every year for funding of malaria control. Research recommendations include analysis of transmission-blocking medicines in high-transmission settings, investigation of the short-term and long-term effects of administration of effective antimalarials, implementation research that refines approaches to application of existing interventions to make them more effective and more efficient in local contexts, diagnostics that detect low-level parasitaemia in asymptomatic carriers, and research to develop more effective vaccines. The African Union health strategy for years 2016–30 aims to “increase investments in health, improve equity and address social determinants of health”. One of the strategic areas is to “end malaria”, although little specific detail is available on how this could be achieved. Further tracking of resource allocation, such as with research portfolios, is essential to inform strategies that will allow WHO's ambitious 90% reduction target to be met. Limitations of the ResIn analyses have been previously described in full.11, 12 The research funding data included here were sourced from probably the largest public and philanthropic contributors to global health and malaria-related research; however, resource constraints prevented inclusion and analysis of other national funders who might provide further investment in their countries of focus. We also excluded preclinical science and malaria research focused on nations outside of sub-Saharan Africa, although findings from such studies might eventually inform sub-Saharan-African-focused strategies. The Global Fund and President's Malaria Initiative typically do not consider their investments as research but as operational activity; thus, they were not included in the research analyses but were included in the funding for malaria control dataset. The Bill & Melinda Gates Foundation provides investments for both research and operational activity; however, scarce information was openly available on the Foundation's grants database, and categorisation of these awards was therefore sometimes difficult. Private sector investments were not available for detailed systematic analyses and thus were not included, leading to a clear data gap, particularly in investment directed towards research for new products. However, almost all financing for malaria vaccine research and drug development comes from public and philanthropic sources. Some of the research investments not included here in the public, philanthropic, or private sectors might have been focused on countries that we found to be neglected in terms of receipt of investment in our analysis. Although we found correlations between temporal levels of investment and disease burden, causality could not be inferred from those results. The categorisation process was subjective and we made assumptions about allocations of awards, athough we took care to reduce subjectivity; the high κ score on inter-observer concordance indicates a high level of agreement between authors and inter-author checks reduced the likelihood of systematic error. To the best of our knowledge, this is the first study to systematically analyse both research and operational investments for malaria in sub-Saharan Africa. Reasonable consistency in amounts of FMC and research investment was seen in those African nations that benefit from receipt of significant shares of available resources and consistent inequalities were seen in those that do not; many countries receiving little in the way of investment are those with the highest burden of malaria and the weakest health systems and infrastructures. Evidence suggests that ownership of research findings increases their uptake and that, although doing research in some settings is extremely challenging because of negative political and socioeconomic factors, these areas contain some of the world's most vulnerable populations. Thus, careful investment strategies should consider how these populations can best be reached.
  23 in total

Review 1.  A systematic review of the evidence on integration of targeted health interventions into health systems.

Authors:  Rifat Atun; Thyra de Jongh; Federica Secci; Kelechi Ohiri; Olusoji Adeyi
Journal:  Health Policy Plan       Date:  2009-12-02       Impact factor: 3.344

2.  Mapping university global health partnerships.

Authors:  Clare Herrick; Jon Reades
Journal:  Lancet Glob Health       Date:  2016-10       Impact factor: 26.763

3.  Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

Authors: 
Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

4.  Mapping Plasmodium falciparum Mortality in Africa between 1990 and 2015.

Authors:  Peter W Gething; Daniel C Casey; Daniel J Weiss; Donal Bisanzio; Samir Bhatt; Ewan Cameron; Katherine E Battle; Ursula Dalrymple; Jennifer Rozier; Puja C Rao; Michael J Kutz; Ryan M Barber; Chantal Huynh; Katya A Shackelford; Matthew M Coates; Grant Nguyen; Maya S Fraser; Rachel Kulikoff; Haidong Wang; Mohsen Naghavi; David L Smith; Christopher J L Murray; Simon I Hay; Stephen S Lim
Journal:  N Engl J Med       Date:  2016-10-10       Impact factor: 91.245

5.  The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015.

Authors:  S Bhatt; D J Weiss; E Cameron; D Bisanzio; B Mappin; U Dalrymple; K Battle; C L Moyes; A Henry; P A Eckhoff; E A Wenger; O Briët; M A Penny; T A Smith; A Bennett; J Yukich; T P Eisele; J T Griffin; C A Fergus; M Lynch; F Lindgren; J M Cohen; C L J Murray; D L Smith; S I Hay; R E Cibulskis; P W Gething
Journal:  Nature       Date:  2015-09-16       Impact factor: 49.962

6.  Research Investments in Global Health: A Systematic Analysis of UK Infectious Disease Research Funding and Global Health Metrics, 1997-2013.

Authors:  Michael G Head; Joseph R Fitchett; Vaitehi Nageshwaran; Nina Kumari; Andrew Hayward; Rifat Atun
Journal:  EBioMedicine       Date:  2015-12-17       Impact factor: 8.143

7.  WorldPop, open data for spatial demography.

Authors:  Andrew J Tatem
Journal:  Sci Data       Date:  2017-01-31       Impact factor: 6.444

8.  Funding for malaria control 2006-2010: a comprehensive global assessment.

Authors:  David M Pigott; Rifat Atun; Catherine L Moyes; Simon I Hay; Peter W Gething
Journal:  Malar J       Date:  2012-07-28       Impact factor: 2.979

9.  Quantifying the economic impact of government and charity funding of medical research on private research and development funding in the United Kingdom.

Authors:  Jon Sussex; Yan Feng; Jorge Mestre-Ferrandiz; Michele Pistollato; Marco Hafner; Peter Burridge; Jonathan Grant
Journal:  BMC Med       Date:  2016-02-24       Impact factor: 8.775

10.  Mortality changes after grants from the Global Fund to Fight AIDS, tuberculosis and malaria: an econometric analysis from 1995 to 2010.

Authors:  Isabel Yan; Eline Korenromp; Eran Bendavid
Journal:  BMC Public Health       Date:  2015-09-28       Impact factor: 4.135

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  15 in total

1.  ELF4 facilitates innate host defenses against Plasmodium by activating transcription of Pf4 and Ppbp.

Authors:  Dandan Wang; Zeming Zhang; Shuang Cui; Yingchi Zhao; Samuel Craft; Erol Fikrig; Fuping You
Journal:  J Biol Chem       Date:  2019-03-21       Impact factor: 5.157

2.  Strengthening health research capacity in sub-Saharan Africa: mapping the 2012-2017 landscape of externally funded international postgraduate training at institutions in the region.

Authors:  Terra Morel; Dermot Maher; Thomas Nyirenda; Ole F Olesen
Journal:  Global Health       Date:  2018-07-31       Impact factor: 4.185

3.  The impact of climate change on mosquito-borne diseases in Africa.

Authors:  Christine Giesen; Jesús Roche; Lidia Redondo-Bravo; Claudia Ruiz-Huerta; Diana Gomez-Barroso; Agustin Benito; Zaida Herrador
Journal:  Pathog Glob Health       Date:  2020-06-25       Impact factor: 2.894

4.  Tracking spending on malaria by source in 106 countries, 2000-16: an economic modelling study.

Authors:  Annie Haakenstad; Anton Connor Harle; Golsum Tsakalos; Angela E Micah; Tianchan Tao; Mina Anjomshoa; Jessica Cohen; Nancy Fullman; Simon I Hay; Tomislav Mestrovic; Shafiu Mohammed; Seyyed Meysam Mousavi; Molly R Nixon; David Pigott; Khanh Tran; Christopher J L Murray; Joseph L Dieleman
Journal:  Lancet Infect Dis       Date:  2019-04-26       Impact factor: 25.071

5.  Databases for Research and Development.

Authors:  Michael G Head
Journal:  Emerg Infect Dis       Date:  2019-10       Impact factor: 6.883

6.  Combination of Serological, Antigen Detection, and DNA Data for Plasmodium falciparum Provides Robust Geospatial Estimates for Malaria Transmission in Haiti.

Authors:  Adan Oviedo; Alaine Knipes; Caitlin Worrell; LeAnne M Fox; Luccene Desir; Carl Fayette; Alain Javel; Franck Monestime; Kimberly Mace; Michelle A Chang; Venkatachalam Udhayakumar; Jean F Lemoine; Kimberly Won; Patrick J Lammie; Eric Rogier
Journal:  Sci Rep       Date:  2020-05-21       Impact factor: 4.379

7.  Impact of 1.5 oC and 2 oC global warming scenarios on malaria transmission in East Africa.

Authors:  Obed Matundura Ogega; Moses Alobo
Journal:  AAS Open Res       Date:  2021-03-15

8.  African based researchers' output on models for the transmission dynamics of infectious diseases and public health interventions: A scoping review.

Authors:  Olatunji O Adetokunboh; Zinhle E Mthombothi; Emanuel M Dominic; Sylvie Djomba-Njankou; Juliet R C Pulliam
Journal:  PLoS One       Date:  2021-05-06       Impact factor: 3.240

9.  Bottlenecks, concerns and needs in malaria operational research: the perspectives of key stakeholders in Nigeria.

Authors:  Pamela Onyiah; Al-Mukhtar Y Adamu; Rotimi F Afolabi; Olufemi Ajumobi; Maduka D Ughasoro; Oluwaseun Odeyinka; Patrick Nguku; IkeOluwapo O Ajayi
Journal:  BMC Res Notes       Date:  2018-05-04

10.  The allocation of USdollar;105 billion in global funding from G20 countries for infectious disease research between 2000 and 2017: a content analysis of investments.

Authors:  Michael G Head; Rebecca J Brown; Marie-Louise Newell; J Anthony G Scott; James Batchelor; Rifat Atun
Journal:  Lancet Glob Health       Date:  2020-10       Impact factor: 26.763

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