| Literature DB >> 28961709 |
Raphaël M Zellweger1, Juan Carrique-Mas1,2, Direk Limmathurotsakul2,3, Nicholas P J Day2,3, Guy E Thwaites1,2, Stephen Baker1,2,4.
Abstract
Southeast Asia, a vibrant region that has recently undergone unprecedented economic development, is regarded as a global hotspot for the emergence and spread of antimicrobial resistance (AMR). Understanding AMR in Southeast Asia is crucial for assessing how to control AMR on an international scale. Here we (i) describe the current AMR situation in Southeast Asia, (ii) explore the mechanisms that make Southeast Asia a focal region for the emergence of AMR, and (iii) propose ways in which Southeast Asia could contribute to a global solution.Entities:
Mesh:
Substances:
Year: 2017 PMID: 28961709 PMCID: PMC5890732 DOI: 10.1093/jac/dkx260
Source DB: PubMed Journal: J Antimicrob Chemother ISSN: 0305-7453 Impact factor: 5.790
Networks contributing to surveillance efforts for AMR in Southeast Asia
| Name (year) | Description | Goal | Members |
|---|---|---|---|
| ANSORP: Asian Network for Surveillance of Resistant Pathogens (1996) | independent, non-governmental, not-for-profit international network for collaborative research on antimicrobial agents and infectious disease in Asia | to develop international strategies and action plans for effective control and prevention of AMR in Asia | 113 hospitals in 65 cities in 14 countries: Saudi Arabia, Sri Lanka, India, China, South Korea, Japan, Hong Kong, Taiwan, Thailand, Vietnam, the Philippines, Malaysia, Singapore and Indonesia |
| VINARES: Vietnam Resistance | capacity-building initiative started after a report identified sub-optimal infection control, inadequate laboratory diagnostic capacity and inappropriate AMU as main drivers of AMR in Vietnam | to strengthen antimicrobial stewardship in Vietnam, particularly in the areas of (i) infection control and healthcare-associated infections, (ii) antimicrobial consumption and (iii) microbiological analysis and reporting capacity | 16 hospitals throughout Vietnam. Collaboration between Vietnamese healthcare professionals, the Wellcome Trust Major Overseas Programme (WT-MOP) and Linköping University (Sweden) |
| Asia WT-MOPs: Wellcome Trust Major Overseas Programmes | local capacity building initiative focused on research, training and enhancing laboratory infrastructure | to improve patient clinical outcomes; to investigate infectious diseases transmission and susceptibility; to develop new tools to prevent, control and treat drug-resistant organisms; to enhance local public health policy | central units in Bangkok, Thailand (MORU) and in Ho Chi Minh City, Vietnam (OUCRU) (satellites in Lao PDR, Cambodia, Nepal, and Indonesia) |
| GARP: Global Antimicrobial Resistance Partnership (2008) | initiative launched to amplify the voice of LMICs at the AMR discussion table, funded by the Bill and Melinda Gates Foundation (member states are expected to sustain their activities after initial GARP funding) | to catalyse discussions between local experts in order to analyse the AMU and AMR situation, identify knowledge gaps, formulate locally relevant policies related to AMU and AMR in LMICs, promote those policies | active programmes in 8 countries: Kenya, India, Vietnam, South Africa, Mozambique, Tanzania, Nepal and Uganda |
| PulseNet Asia Pacific (2002) | network of laboratories performing molecular subtyping of bacteria and active in laboratory capacity building, training, quality assurance, protocol evaluation, standardization, and communication enhancement | to enable timely exchange of DNA fingerprinting data on pathogens causing foodborne outbreaks in the Asia Pacific region in order to enhance surveillance and provide early warning of outbreaks | Australia, Bangladesh, China, Hong Kong, India, Japan, Korea, Malaysia, New Zealand, the Philippines, Taiwan, Thailand and Vietnam |
| NARST: National Antimicrobial Resistance Surveillance Thailand (1998) | collaborative network initiated through funding from the WHO | to strengthen the surveillance programme for AMR and standardize laboratory practices in Thailand | collects data from 33 hospitals throughout Thailand |
| AMRCP: Thailand AMR Containment and Prevention | network created by academics and AMR thought leaders | to contain and limit the emergence and spread of AMR in Thailand by (i) estimating the AMR burden in Thailand, (ii) developing laboratory capacity, (iii) improving understanding of AMR and (iv) promoting responsible AMU (amongst others) | Thailand |
Information compiled from cited references and the networks’ respective websites.,,,
Figure 1.Schematic of the development, spread, drivers and tools for the mitigation of AMR. Drivers and tools for mitigation may influence any or all of AMU, AMR and infection spread. Their location on the schematic does not imply anything about where they play a role.
Socioeconomic development in Southeast Asia 1995–2014
| Cambodia | Indonesia | Lao PDR | Malaysia | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Indicator | 1995 | 2014 | % change | 1995 | 2014 | % change | 1995 | 2014 | % change | 1995 | 2014 | change |
| Population (millions) | 10.7 | 15.3 | 43 | 197.0 | 254.5 | 29 | 4.9 | 6.7 | 38 | 20.7 | 29.9 | 44 |
| Life expectancy (years) | 55 | 68 | 24 | 65 | 69 | 6 | 56 | 66 | 18 | 72 | 75 | 4 |
| Infant mortality rate (per 1000 live births) | 88 | 26 | –70 | 51 | 24 | –53 | 97 | 52 | –46 | 12 | 6 | –50 |
| GDP per capita (USD) | 322 | 1095 | 240 | 1026 | 3492 | 240 | 363 | 1794 | 394 | 4280 | 11307 | 164 |
| Livestock production index 1995–2013 | 69.8 | 89.6 | 28 | 79.5 | 139.9 | 76 | 72.9 | 125.8 | 73 | 88.2 | 138.8 | 57 |
| Total fisheries production (millions of tons) | 0.11 | 0.75 | 562 | 4.39 | 20.88 | 376 | 0.04 | 0.15 | 274 | 1.25 | 1.99 | 59 |
| CO2 emission 1995–2011 (tons per capita) | 0.1 | 0.3 | 200 | 1.1 | 2.3 | 109 | 0.1 | 0.2 | 100 | 5.8 | 7.9 | 36 |
| Myanmar | Philippines | Thailand | Vietnam | |||||||||
| Indicator | 1995 | 2014 | % change | 1995 | 2014 | % change | 1995 | 2014 | % change | 1995 | 2014 | change |
| Population (millions) | 44.7 | 53.4 | 20 | 69.8 | 99.1 | 42 | 59.3 | 67.7 | 14 | 72.0 | 90.7 | 26 |
| Life expectancy (years) | 60 | 66 | 10 | 66 | 68 | 35 | 70 | 74 | 6 | 72 | 76 | 6 |
| Infant mortality rate (per 1000 live births) | 69 | 41 | –41 | 34 | 23 | –32 | 24 | 11 | –54 | 31 | 18 | –42 |
| GDP per capita (USD) | ND | 1204 | ND | 1061 | 2873 | 171 | 2856 | 5977 | 109 | 288 | 2052 | 613 |
| Livestock production index 1995–2013 | 33.4 | 191.9 | 475 | 64.2 | 126.5 | 97 | 99.2 | 130.2 | 31 | 49.5 | 147.4 | 198 |
| Total fisheries production (millions of tons) | 0.82 | 5.05 | 513 | 2.81 | 4.69 | 67 | 3.59 | 2.70 | –25 | 1.47 | 6.33 | 329 |
| CO2 emission 1995–2011 (tons per capita) | 0.2 | 0.2 | 0 | 0.9 | 0.9 | 0 | 2.8 | 4.5 | 61 | 0.4 | 2.0 | 400 |
ND, not determined.
Source: World Bank, http://www.worldbank.org.
Except for Livestock production index, which is given for the period 1995–2013.
Livestock production index includes meat and milk from all sources, dairy products such as cheese, and eggs, honey, raw silk, wool, and hides and skins; reference year 2004–2006 = 100.