Mapping the aetiology of non-malarial febrile illness in Southeast Asia through a systematic review--terra incognita impairing treatment policies

Nathalie Acestor, Richard Cooksey, Paul N Newton, Didier Ménard, Philippe J Guerin, Jun Nakagawa, Eva Christophel, Iveth J González, David Bell, Nathalie Acestor, Richard Cooksey, Paul N Newton, Didier Ménard, Philippe J Guerin, Jun Nakagawa, Eva Christophel, Iveth J González, David Bell

Abstract

Background: An increasing use of point of care diagnostic tests that exclude malaria, coupled with a declining malaria burden in many endemic countries, is highlighting the lack of ability of many health systems to manage other causes of febrile disease. A lack of knowledge of distribution of these pathogens, and a lack of screening and point-of-care diagnostics to identify them, prevents effective management of these generally treatable contributors to disease burden. While prospective data collection is vital, an untapped body of knowledge already exists in the published health literature.

Methods: Focusing on the Mekong region of Southeast Asia, published data from 1986 to 2011 was screened to for frequency of isolation of pathogens implicated in aetiology of non-malarial febrile illness. Eligibility criteria included English-language peer-reviewed studies recording major pathogens for which specific management is likely to be warranted. Of 1,252 identified papers, 146 met inclusion criteria and were analyzed and data mapped.

Results: Data tended to be clustered around specific areas where research institutions operate, and where resources to conduct studies are greater. The most frequently reported pathogen was dengue virus (n = 70), followed by Orientia tsutsugamushi and Rickettsia species (scrub typhus/murine typhus/spotted fever group n = 58), Leptospira spp. (n = 35), Salmonella enterica serovar Typhi and Paratyphi (enteric fever n = 24), Burkholderia pseudomallei (melioidosis n = 14), and Japanese encephalitis virus (n = 18). Wide tracts with very little published data on aetiology of fever are apparent.

Discussion and conclusions: This mapping demonstrates a very heterogeneous distribution of information on the causes of fever in the Mekong countries. Further directed data collection to address gaps in the evidence-base, and expansion to a global database of pathogen distribution, is readily achievable, and would help define wider priorities for research and development to improve syndromic management of fever, prioritize diagnostic development, and guide empirical therapy.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. PRISMA flow chart for literature…
Figure 1. PRISMA flow chart for literature search.
Figure 2. Study sites in the Mekong…
Figure 2. Study sites in the Mekong region where major aetiologies of infectious febrile illnesses have been reported.
Figure 3. Pop-up window of map showing…
Figure 3. Pop-up window of map showing study sites in the Mekong region where major aetiologies of febrile illnesses have been reported.
Figure 4. Study sites in the Mekong…
Figure 4. Study sites in the Mekong region where S. Typhi has been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 5. Study sites in the Mekong…
Figure 5. Study sites in the Mekong region where B. pseudomallei has been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 6. Study sites in the Mekong…
Figure 6. Study sites in the Mekong region where Leptospira spp. have been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 7. Study sites in the Mekong…
Figure 7. Study sites in the Mekong region where Dengue virus has been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 8. Study sites in the Mekong…
Figure 8. Study sites in the Mekong region where Rickettsioses have been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 9. Study sites in the Mekong…
Figure 9. Study sites in the Mekong region where Japanese encephalitis virus has been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 10. Study sites in the Mekong…
Figure 10. Study sites in the Mekong region where other bacteria (e.g. E. coli and Pseudomonas, Streptococcus, Staphylococcus, Shigella, Klebsiella, Haemophilus species) have been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).
Figure 11. Study sites in the Mekong…
Figure 11. Study sites in the Mekong region where other viral infections (e.g. hepatitis viruses, herpes simplex viruses, and enterovirus) have been reported, illustrating frequency of identification (case) based on assays and sample population used in the study (see Table S1).

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Source: PubMed

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