Berliner Boersenzeitung - Hotter, drier, sicker? How a changing planet drives disease

EUR -
AED 4.272323
AFN 76.901107
ALL 96.34399
AMD 443.867208
ANG 2.08242
AOA 1066.771894
ARS 1668.20484
AUD 1.756258
AWG 2.09399
AZN 1.976567
BAM 1.953034
BBD 2.343182
BDT 142.218617
BGN 1.952761
BHD 0.438569
BIF 3436.648432
BMD 1.163328
BND 1.50867
BOB 8.067611
BRL 6.323501
BSD 1.163353
BTN 104.720165
BWP 15.477151
BYN 3.36455
BYR 22801.223172
BZD 2.339797
CAD 1.608062
CDF 2596.547997
CHF 0.938672
CLF 0.02742
CLP 1075.670733
CNY 8.224839
CNH 8.22457
COP 4457.231965
CRC 568.095569
CUC 1.163328
CUP 30.828184
CVE 110.109084
CZK 24.283648
DJF 207.167538
DKK 7.468866
DOP 74.584388
DZD 151.309343
EGP 55.258182
ERN 17.449916
ETB 180.850491
FJD 2.626099
FKP 0.87253
GBP 0.87349
GEL 3.135191
GGP 0.87253
GHS 13.291237
GIP 0.87253
GMD 84.92322
GNF 10112.680313
GTQ 8.911381
GYD 243.396394
HKD 9.050992
HNL 30.640612
HRK 7.528124
HTG 152.324307
HUF 383.718951
IDR 19418.266183
ILS 3.747236
IMP 0.87253
INR 104.815303
IQD 1524.041937
IRR 48990.628525
ISK 148.78808
JEP 0.87253
JMD 186.505905
JOD 0.824836
JPY 181.307536
KES 150.3603
KGS 101.733296
KHR 4657.425043
KMF 490.924645
KPW 1046.994789
KRW 1708.078917
KWD 0.357293
KYD 0.969531
KZT 594.478211
LAK 25230.381892
LBP 104180.926226
LKR 358.991663
LRD 205.340118
LSL 19.754527
LTL 3.435004
LVL 0.703685
LYD 6.322048
MAD 10.747082
MDL 19.725154
MGA 5187.676479
MKD 61.55284
MMK 2443.021959
MNT 4127.457164
MOP 9.323298
MRU 46.395304
MUR 53.652889
MVR 17.913837
MWK 2017.352074
MXN 21.202066
MYR 4.784783
MZN 74.34859
NAD 19.754527
NGN 1688.476823
NIO 42.809381
NOK 11.789849
NPR 167.552464
NZD 2.016495
OMR 0.447293
PAB 1.163358
PEN 3.913259
PGK 4.937009
PHP 68.818402
PKR 328.799615
PLN 4.234408
PYG 8000.670946
QAR 4.240495
RON 5.088162
RSD 117.389042
RUB 89.045059
RWF 1692.70311
SAR 4.366162
SBD 9.574876
SCR 17.313484
SDG 699.740757
SEK 10.956657
SGD 1.509627
SHP 0.872797
SLE 27.567156
SLL 24394.39831
SOS 663.663097
SRD 44.973043
STD 24078.534907
STN 24.465357
SVC 10.179586
SYP 12862.717918
SZL 19.749035
THB 37.12993
TJS 10.673985
TMT 4.08328
TND 3.417261
TOP 2.801014
TRY 49.504016
TTD 7.881873
TWD 36.263833
TZS 2850.153307
UAH 49.045052
UGX 4116.171448
USD 1.163328
UYU 45.445648
UZS 13949.247684
VES 296.12732
VND 30665.318511
VUV 141.743431
WST 3.244067
XAF 655.032281
XAG 0.020154
XAU 0.000278
XCD 3.143951
XCG 2.096731
XDR 0.814514
XOF 655.02947
XPF 119.331742
YER 277.511843
ZAR 19.815368
ZMK 10471.343142
ZMW 26.903021
ZWL 374.591049
  • RBGPF

    0.8500

    79.2

    +1.07%

  • VOD

    -0.0120

    12.458

    -0.1%

  • CMSC

    -0.1100

    23.32

    -0.47%

  • AZN

    -0.1300

    90.05

    -0.14%

  • RYCEF

    0.3100

    14.8

    +2.09%

  • GSK

    -0.0060

    48.404

    -0.01%

  • BTI

    0.3640

    57.374

    +0.63%

  • BP

    0.1060

    35.936

    +0.29%

  • RIO

    -0.0600

    73

    -0.08%

  • RELX

    -0.7700

    39.55

    -1.95%

  • SCS

    0.1120

    16.252

    +0.69%

  • BCC

    -0.5750

    72.475

    -0.79%

  • JRI

    -0.0700

    13.72

    -0.51%

  • NGG

    0.1590

    75.569

    +0.21%

  • BCE

    -0.3400

    23.21

    -1.46%

  • CMSD

    0.0150

    23.265

    +0.06%

Hotter, drier, sicker? How a changing planet drives disease
Hotter, drier, sicker? How a changing planet drives disease / Photo: BAY ISMOYO - AFP/File

Hotter, drier, sicker? How a changing planet drives disease

Humans have made our planet warmer, more polluted and ever less hospitable to many species, and these changes are driving the spread of infectious disease.

Text size:

Warmer, wetter climates can expand the range of vector species like mosquitos, while habitat loss can push disease-carrying animals into closer contact with humans.

New research reveals how complex the effects are, with our impact on the climate and planet turbocharging some diseases and changing transmission patterns for others.

Biodiversity loss appears to play an outsize role in increasing infectious disease, according to work published in the journal Nature this week.

It analysed nearly 3,000 datasets from existing studies to see how biodiversity loss, climate change, chemical pollution, habitat loss or change, and species introduction affect infectious disease in humans, animals and plants.

It found biodiversity loss was by far the biggest driver, followed by climate change and the introduction of novel species.

Parasites target species that are more abundant and offer more potential hosts, explained senior author Jason Rohr, a professor of biological sciences at the University of Notre Dame.

And species with large populations are more likely to "be investing in growth, reproduction and dispersal, at the expense of defences against parasites", he told AFP.

But rarer species with more resistance are vulnerable to biodiversity loss, leaving us with "more abundant, parasite-competent hosts".

The warmer weather produced by climate change offers new habitats for disease vectors, as well as longer reproductive seasons.

"If there are more generations of parasites or vectors, then there can be more disease," Rohr said.

- Shifting transmission -

Not all human adaptation of the planet increases infectious disease, however.

Habitat loss or change was associated with a drop in infectious disease, largely because of the sanitary improvements that come with urbanisation, like running water and sewage systems.

Climate change's effects on disease are also not uniform across the globe.

In tropical climates, warmer, wetter weather is driving an explosion in dengue fever.

But drier conditions in Africa may shrink the areas where malaria is transmitted in coming decades.

Research published in the journal Science this week modelled the interaction between climate change, rainfall and hydrological processes like evaporation and how quickly water sinks into the ground.

It predicts a larger decline in areas suitable for disease transmission than forecasts based on rainfall alone, with the decline starting from 2025.

It also finds the malaria season in parts of Africa could be four months shorter than previously estimated.

The findings are not necessarily all good news, cautioned lead author Mark Smith, an associate professor of water research at the University of Leeds.

"The location of areas suitable for malaria will shift," he told AFP, with Ethiopia's highlands among the regions likely to be newly affected.

People in those regions may be more vulnerable because they have not been exposed.

And populations are forecast to grow rapidly in areas where malaria will remain or become transmissible, so the overall incidence of the disease could increase.

- Predicting and preparing -

Smith warned that conditions too harsh for malaria may also be too harsh for us.

"The change in water availability for drinking or agriculture could be very serious indeed."

The links between climate and infectious disease mean climate modelling can help predict outbreaks.

Local temperature and rainfall forecasts are already used to predict dengue upticks, but they offer a short lead-time and can be unreliable.

One alternative might be the Indian Ocean basin-wide index (IOBW), which measures the regional average of sea-surface temperature anomalies in the Indian Ocean.

Research also published in Science this week looked at dengue data from 46 countries over three decades and found a close correlation between the IOBW's fluctuations and outbreaks in the northern and southern hemispheres.

The study was retrospective, so the IOBW's predictive power has not yet been tested.

But monitoring it could help officials better prepare for outbreaks of a disease that is a major public health concern.

Ultimately, however, addressing increasing infectious disease means addressing climate change, said Rohr.

Research suggests "that disease increases in response to climate change will be consistent and widespread, further stressing the need for reductions in greenhouse gas emissions", he said.

(P.Werner--BBZ)